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  • 1
    Online Resource
    Online Resource
    Intelligent Vision in Healthcare (2022)
    Singapore :Springer Singapore :
    Details
    UID:
    almahu_9949241603502882
    Format: XIII, 151 p. 65 illus., 49 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811677717
    Series Statement: Studies in Autonomic, Data-driven and Industrial Computing,
    Content: This book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.
    Note: Intelligent Vision in Healthcare -- Diagnosis of Covid-19 in X-ray and CT Images Using Online Clustering Framework -- Unsupervised Deep Learning Approach for the Identification of Intracranial haemorrhage in CT images using PCA-Net and K-Means algorithm -- Automatic segmentation of optic cup and optic disc using MultiResUnet for Glaucoma classification from fundus image -- A Framework to Classify the Calcification Region from USG Images of Thyroid Nodules -- Predicting Heart Disease with Multiple Classifiers.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811677700
    Additional Edition: Printed edition: ISBN 9789811677724
    Additional Edition: Printed edition: ISBN 9789811677731
    Language: English
    DOI: 10.1007/978-981-16-7771-7
    URL: https://doi.org/10.1007/978-981-16-7771-7
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  • 2
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    Online Resource
    Proceedings of International Conference on Data Science and Applications : ICDSA 2022, Volume 2 (2023)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949450153002882
    Format: XXV, 915 p. 433 illus., 331 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811966347
    Series Statement: Lecture Notes in Networks and Systems, 552
    Content: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    Note: Improving River Streamflow Forecasting utilizing Multi-layer Perceptron-based Butterfly Optimization Algorithm -- Covid-19 Contact Tracing Using Low Calibrated Transmission Power from BLE - Approach & Algorithm Experimentation -- Monitoring loud commercials in television broadcast -- Potential Customers Prediction in Bank Telemarketing -- Analysis and implementation of normalization techniques on KDD'99 Dataset for Detect and Prevent Intrusion on Network -- Deep Neural Networks Predicting Student Performance -- An Efficient Group Signature Scheme based on ECDLP -- Sentiment Analysis of COVID-19 tweets using TextBlob and Machine Learning classifiers - An evaluation to show how COVID -19 opinions is influencing psychological reactions of people's behaviour in social media.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811966330
    Additional Edition: Printed edition: ISBN 9789811966354
    Language: English
    DOI: 10.1007/978-981-19-6634-7
    URL: https://doi.org/10.1007/978-981-19-6634-7
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  • 3
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    Congress on Intelligent Systems : Proceedings of CIS 2021, Volume 2 (2022)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949335079602882
    Format: XV, 933 p. 452 illus., 374 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811691133
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 111
    Content: This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India during September 4 - 5, 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro fuzzy systems.
    Note: A Novel Feature Descriptor: Color Texture Description with Diagonal Local Binary Patterns Using New Distance Metric for Image Retrieval -- OntoINT: A Framework for Ontology Integration based on Entity Linking from Heterogenous Knowledge Sources -- Removal of Occlusion in Face Images Using Pix2pix Technique for Face Recognition -- Age, Gender and Emotion Estimation Using Deep Learning -- Qualitative classification of wheat grains using supervised learning -- Assessment of Attribution in Cyber Deterrence: A Fuzzy Entropy Approach -- A Deep Learning Approach for Plagiarism Detection System using BERT -- Performance Analysis of Machine Learning Algorithms for Website Anti-phishing -- Analysis and performance of JADE on Interoperability issues between two platform Languages -- Classification of Covid 19 Chest CT images using Optimized Deep Convolutional Generative Adversarial Network and deep CNN -- Model order reduction of Continuous time multi input multi output system using Sine Cosine Algorithm -- Optimizing an Inventory Routing Problem Using a Modified Tabu Search -- Forecasting stock market indexes through machine learning using technical analysis indicators and DWT -- An Empirical Study of Signal Transformation Techniques on Epileptic Seizures Using EEG Data -- Real-Time Segregation of Encrypted Data Using Entropy -- Improved Telugu Scene Text Recognition with Thin plate spline transform -- Limacon inspired PSO for LSSMTWTS problem.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811691126
    Additional Edition: Printed edition: ISBN 9789811691140
    Language: English
    DOI: 10.1007/978-981-16-9113-3
    URL: https://doi.org/10.1007/978-981-16-9113-3
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  • 4
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    Proceedings of International Conference on Computational Intelligence : ICCI 2022 (2023)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949534787002882
    Format: XII, 408 p. 148 illus., 114 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819928545
    Series Statement: Algorithms for Intelligent Systems,
    Content: The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2022) held at Indian Institute of Information Technology Pune, India during 29 - 30 December, 2022. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
    Note: Entropy measure for the linguistic intuitionistic fuzzy set -- Principal component analysis and correlation coefficient-based decision-making approach for stock portfolio selection -- Determination of Thickness and Refractive Indices of Thin-Films from Reflectivity Spectrum using Rao-1 Optimization Algorithm -- Deep Sea Debris Detection using YOLOIncep Network -- Precipitation Forecasting: LSTM Modelling in Visual Analytic Frame work -- Cyclone Forecasting Before Eye Formation Using Deep-Learning -- Efficient Approach for Malware Detection Using Machine Learning Classifier -- Distances from Fuzzy Implications -- Real Time quick Fog removal Technique for supporting vehicles on hilly routes amid dense fog -- Deep learning based approach for outlier detection in wireless sensor network -- Predicting Kidney Tumor Using Convolutional Neural Network (CNN) -- Comparative Analysis of Cognitive Services in popular cloud platforms -- A Survey on Efficient Neural Network Compression Techniques -- Implementation of Reliable Post-Disaster Relief -- Communication Network Using Hybrid Secure Routing Protocol -- Compact Metamaterial Octagonal Antenna for Wireless Body Area Network -- A survey on different techniques for Anomaly detection -- A Scholastic Comprehensive study on 6G Wireless Communication System -- A Modified LSB Steganography Algorithm to Store Images of Large Size.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819928538
    Additional Edition: Printed edition: ISBN 9789819928552
    Additional Edition: Printed edition: ISBN 9789819928569
    Language: English
    DOI: 10.1007/978-981-99-2854-5
    URL: https://doi.org/10.1007/978-981-99-2854-5
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  • 5
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    Congress on Intelligent Systems : Proceedings of CIS 2021, Volume 1 (2022)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949335079502882
    Format: XV, 951 p. 400 illus., 318 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811694165
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 114
    Content: This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India, during September 4 - 5, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as Internet of things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
    Note: The Extraction of Automated Vehicles Traffic Accident Factors and Scenarios using Real-World data -- Leaf Disease Identification in Rice Plants Using CNN Model -- Twitter Sentiment Analysis Based on Neural Network Techniques -- Enhanced Stock Market Prediction using Hybrid LSTM Ensemble -- Classifying Microarray Gene Expression Cancer Data using Statistical Feature Selection and Machine Learning Methods -- Pythagorean Fuzzy Information Measure with Application to Multicriteria Decision Making -- Developing an Improved Software Architecture Framework for Smart Manufacturing -- Intelligent Water Drops Algorithm Implementation using Mathematical Function -- A Study of Decision Tree Classifier to Predict Learner's Progression -- An Overview of Blockchain and IoT in e-Healthcare System.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811694158
    Additional Edition: Printed edition: ISBN 9789811694172
    Language: English
    DOI: 10.1007/978-981-16-9416-5
    URL: https://doi.org/10.1007/978-981-16-9416-5
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  • 6
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    Proceedings of International Conference on Data Science and Applications : ICDSA 2022, Volume 1 (2023)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949450151402882
    Format: XXV, 957 p. 397 illus., 322 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811966316
    Series Statement: Lecture Notes in Networks and Systems, 551
    Content: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    Note: Cancer Prognosis by Using Machine Learning and Data Science: A systematic review -- Understanding Agriculture Scenario of Punjab: A Qualitative Research of Crop parameter in relation to fertilizer usage -- Face Detection Based Border Security System Using Haar-Cascade and LBPH Algorithm -- Proposed Experimental Design of a Portable COVID-19 Screening Device Using Cough Audio Samples -- Big Data Framework for Analytics Business Intelligence -- Technological Impacts of AI on Hospitality and Tourism Industry -- Improvement of Real-Time Kinematic Positioning Using Kalman Filter-Based Singular Spectrum Analysis during Geomagnetic Storm for Thailand sector.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811966309
    Additional Edition: Printed edition: ISBN 9789811966323
    Language: English
    DOI: 10.1007/978-981-19-6631-6
    URL: https://doi.org/10.1007/978-981-19-6631-6
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  • 7
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    Data Science and Applications : Proceedings of ICDSA 2023, Volume 1 (2024)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949709216402882
    Format: XX, 571 p. 205 illus., 169 illus. in color. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9789819978625
    Series Statement: Lecture Notes in Networks and Systems, 818
    Content: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    Note: Climate Change Parameter Dataset (CCPD): A Benchmark Dataset for Climate Change parameters in Jammu and Kashmir -- Brain Tumor Classification Using Deep Learning Techniques -- Machine learning Based Hardware Trojans Detection in Integrated Circuits: A Systematic Review -- Impact of Techno Stress on Employee Retention and Employee Turnover -- Single image dehazing using DCP with varying scattering constant -- Detecting IoT malware using federated learning -- A Deep learning approach for BGP security Improvement -- Wireless Sensor Network Protocols in Underwater Communication -- A Genetic Algorithm Approach for Portfolio Optimization -- Security Issues and Solutions in Post Quantum Authenticated Key Exchange for Mobile Devices -- Towards Decentralized Fog Computing: A comprehensive review of Models, Architectures, and Services -- Analysis of various MAC protocol 802.11 AX -- Monkeypox Disease Classification Using HOG-SVM Method -- A Deep Learning Model for Automatic Recognition of Facial Expressionsusing Haar Cascade Images -- Sensing Performance Analysis using Choatic Signal based SCMA Codebook For Secure Cognitive Communication System in 5G -- Identification of severity level for diabetic retinopathy detection using neural networks -- Metaheuristic optimized BiLSTM univariate time-series forecasting of gold prices -- Improvised Neural Machine Translation Model for Hinglish to English -- Recording of Class Attendance using DL Based Face Recognition Method -- Machine Learning Enabled Hairstyle Recommender System using Multilayer Perceptron -- Automated Health Insurance Management Framework with Intelligent Fraud Detection, Premium Prediction and Risk Prediction -- Responsible Artificial Intelligence for Music Recommendation -- A robot mapping technique for indoor environments -- A Novel Approach to Docking System for Autonomous Unmanned Aerial Vehicles -- Predicting Brain Tumor Survival using MRI Images and Machine Learning Techniques -- Intelligent Approaches of Clinical and Nonclinical Type-1 Diabetes Data Analysis -- A Learning-Based Approach For Wafer Defect Detection In Production Quality Control -- Setting Importance of Features through Means and Majority of Outcomes of Machine Learning Algorithms: An Empirical Analysis -- A Study of Simulated Working of A* and RRT* for Cargo Ship in ASVs -- ESFMS: Design of an Ensemble Sentiment analysis model for Feedback evaluation via Multimodal feature Selection process -- Towards Transfer Learning based Human Anomaly Detection in Videos -- Speech Signal Analysis Using Hybrid Feature Extraction Technique for Parkinson's Disease Prediction -- Dataset Construction and Evaluation for Aspect-Opinion Extraction in Bangla Fine-grained Sentiment Analysis -- Improving Speaker Gender Detection by Combining Pitch and SDC -- Sentiment Analysis of Covid-19 Lockdown in India -- Applications of Smart Agriculture and an Automated Irrigation System Based on the Internet of Things -- Sensitivity of stock pricing to the optimistic and pessimistic sentimentof social media: A shreds of evidence from Nifty Indices -- Revolutionizing Cardiac Care: A Comprehensive Review of ECG-based Arrhythmia Prediction Techniques -- Yoga Posture Estimation and Correction using Mediapipe & Deep Learning Models -- Random Modulus Decomposition for Color Images Optical Asymmetric Cryptosystem Using Gyrator Domain -- A Single Line 8T SRAM Bit Cell with Robust Read, Hold Stability and Low Power -- Improving Chronic Kidney Disease Prediction using ANN with Normalization.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819978618
    Additional Edition: Printed edition: ISBN 9789819978632
    Language: English
    DOI: 10.1007/978-981-99-7862-5
    URL: https://doi.org/10.1007/978-981-99-7862-5
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  • 8
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    Data Science and Applications : Proceedings of ICDSA 2023, Volume 3 (2024)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949709296502882
    Format: XX, 597 p. 294 illus., 251 illus. in color. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9789819978175
    Series Statement: Lecture Notes in Networks and Systems, 820
    Content: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
    Note: PV Array System Stimulation Affected By Variability in Temperature & Location -- A Real-Time Cataract Detection And Diagnosis Through Web-Based Imaging Analysis -- A Survey of Decentralized Digital Voting System using Blockchain Technology -- Multiple Infectious Disease Diagnosis and Detection using Advanced CNN Models -- Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance -- Forest Fire Detection and Prediction using HSV and MLP -- An Insight into recent advances in the Intelligent Controller Methods -- Some Observations on Social Media Mining tools for Health Applications -- Smart Contact Lenses for Monitoring Patient's Vision : A Generic Review -- Liver lesion detection from MR T1 In-phase and Out-phase Fused Images and CT Images using YOLOv8 -- Analyzing Blockchain Data to Detect Bitcoin Addresses Involved in Illicit Activities using Anomaly Detection -- Comparing Spring Boot and ReactJS with other Web Development Frameworks: A Study -- Performance Analysis of InceptionV3, VGG16, Resnet50 models for crevices recognition on surfaces -- A Machine Learning Approach for Moderating Toxic Hinglish Comments of YouTube Videos -- Instant Accident Detection and Emergency Alert System -- A Novel Approach to Video Summarization using AI-GPT and Speech Recognition -- Classification of Underwater Fish Species using Custom-Built Deep Learning Architectures -- Deep Learning Based Approach for Plant Disease Classification -- Prediction of liver disease using Machine Learning Algorithms -- Analysis of Detection of Glioma by Segmentation of Brain Tumor MRI images using Deep Learning -- CloneAI : A Deep Learning Based Approach for Cloned Voice Detection -- Analyzing the Performance and Wireless Network Capacity of NOMA: Study of the Impact of OMA and NOMA on 5G Network -- Malarıa Parasıte Detectıon Usıng Deep Neural Networks -- IoT-based Agriculture: Identification and Classification of Apple Quality Using Deep Learning -- Plant Disease Detection on Edge Devices.-Analyze the Quality of Wine based on Machine Learning Approach -- Safeguarding financial transaction with Cryptocurrency -- Analysis and control of Dual Active Bridge Converter for Vehicle to load application in electric vehicle -- Efficient Plant Leaf Disease Detection using a Customized Convolutional Neural Network -- Analyzing and Predicting Temperature Trends in a Metropolitan Area Using Time Series Analysis and Machine Learning Techniques -- An Explainable AI (XAI) Based Framework for Detecting Diseases in Paddy Crops -- De-noising Tail Entity Selection in Automatic Question Generation with Fine-tuned T5 Model -- Hybridization of Artificial Gravity Cuckoo Search Algorithm with XGboost- Particle Swarm Optimized Neural Networks for Cardiac Feature Selection -- Urdu Sentiment Analysis: A Review -- Fir Filter Design Using Distributed Arithmetic With Lookup Tables (LUTs) -- Classification of Brain Tumour disease with Transfer learning using modified pre-trained deep convolutional neural network -- Bayesian Optimized Traffic Sign Recognition on Social Media Data Using Deep Learning -- Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders -- Predicting Covid-19 Outbreaks: Leveraging Machine Learning and Deep Learning Models for Trend Analysis -- Stock Price Prediction using Sentiment Analysis on Financial News -- A modified self organizing map with mean-shift clustering for seismicity analysis of earthquake catalogs -- Adopting Blockchain Technology for Smart Farming and Food Security.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819978168
    Additional Edition: Printed edition: ISBN 9789819978182
    Language: English
    DOI: 10.1007/978-981-99-7817-5
    URL: https://doi.org/10.1007/978-981-99-7817-5
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  • 9
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    Proceedings of International Conference on Computational Intelligence : ICCI 2023 (2024)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949850795902882
    Format: XIV, 723 p. 348 illus., 288 illus. in color. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9789819735266
    Series Statement: Algorithms for Intelligent Systems,
    Content: The book presents high-quality research papers presented at International Conference on Computational Intelligence (ICCI 2023) held at Sardar Vallabhbhai National Institute of Technology, Surat, India, during 4-5 November 2023. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms, machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
    Note: Modeling the Optical Gain of Erbium-Doped Fiber Amplifiers in Strong Cross-Gain Modulation Regime Employing Artificial Neural Networks -- The fuzzy logic model for machining data selection -- Hybrid Weighted Ensemble Model for Early Diagnosis of Parkinson Disorder Using Voice Features -- Advancements In CT Image Reconstruction: An Exploration of Conventional and Deep Learning-Driven Approaches -- Machıne Learnıng-Assısted Food Qualıty Index Determinatıon For Healthcare -- A Survey on Detection of Man-in-the-Middle Attack in IoMT Using Machine Learning Techniques -- An Application of Deep Learning Using Leaky Rectified Linear Unit and Hyperbolic Tangent in Non Destructive Testing -- Binary Probing: A Novel Approach for Efficient Hash Table Operations -- AI in Mechanical Design: Generate Specific Components -- Solution Of ECG Inverse Problem Using Artificial Neural Network -- The Impact of Artificial Intelligence Technology in learning Zones -- From Stateless to Stateful: A Comparative Analysis of Stateful Serverless Computing Frameworks -- An Online Learning and Problem Solving (OLPS) EEG Database for Mental Workload Assessment and Its Initial Benchmark Classification Performance -- Convolutional Neural Networks-Based Evaluation of Disease Severity in Grape Plant Using Colored and Grayscale Leaf Images -- A Parallel Non-Dominated Sorting Genetic Algorithm-II for Vehicle Routing Problem in Supply Chain -- Massively Parallel GPU Implementation of The TLBO Algorithm for Solving High-Dimensional Systems of Nonlinear Equations -- Support Vector Machine Based Classification for Telemedicine Based on ECG Data -- Concept of Application of Heuristic Models for SMART Management in the Medium-Sized Industrial Enterprise -- Sentiment Analysis Using Ensemble of Deep Learning Models -- A Comparative Study and Review on Load Balancing Algorithms in Hybrid Cloud-Fog Computing -- Optimized Advancements in Next-Generation Recommendation Engines for Personalized Experiences on OTT Platforms -- Shapley Additive Explanations for Machine Emotion Intelligence in CNNs -- Simulation And Performance Evaluation of WSN Based Wild Animal Protection Architecture Using NS2 -- Numerical simulations using SCAPS-ID software on variation of ETL, HTL and absorbing layers of contemporary organic solar cells with neoteric DOE Approach as a soft computing tool.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819735259
    Additional Edition: Printed edition: ISBN 9789819735273
    Additional Edition: Printed edition: ISBN 9789819735280
    Language: English
    DOI: 10.1007/978-981-97-3526-6
    URL: https://doi.org/10.1007/978-981-97-3526-6
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  • 10
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    Intelligent Learning for Computer Vision : Proceedings of Congress on Intelligent Systems 2020 (2021)
    Singapore :Springer Singapore :
    Details
    UID:
    almahu_9949070745802882
    Format: XIV, 591 p. 335 illus., 271 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789813345829
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 61
    Content: This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India, during September 5-6, 2020. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of computer vision. This book covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture in dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the productivity in agricultural domain.
    Note: Development of Inter-Ethnic Harmony Search Algorithm based on Inter-Ethnic Reconciliation -- A Low-Cost Embedded Computer Vision System for the Classification of Recyclable Objects -- An Optimal Feature Selection Approach based on IBBO for Histopathological Image Classification -- Accuracy Evaluation of Plant Leaf Disease Detection and Classification using GLCM and Multiclass SVM Classifier -- A Deep Learning Technique for Automatic Teeth Recognition in Dental Panoramic X-Ray Images Using Modified Palmer Notation System -- Detection of Parkinson's disease from hand-drawn images using Deep Transfer Learning -- An Empirical Analysis of Hierarchical and Partition Based Clustering Techniques in Optic Disc Segmentation -- Multi Class Support Vector Machine Based Household Object Recognition System Using Features Supported by Point Cloud Library -- Initialization of MLP Parameters using Deep Belief Networks for Cancer Classification -- An Improved Inception Layer Based Convolutional Neural Network For Identifying Rice Leaf Diseases -- Design & Implementation of Traffic Sign Classifier Using Machine Learning Model -- Designing controller parameter of wind turbine emulator using artificial bee colony algorithm -- Text-Document Orientation Detection Using Convolutional Neural Networks -- A Deep Learning based Segregation of Housing Image data for Real Estate application.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789813345812
    Additional Edition: Printed edition: ISBN 9789813345836
    Additional Edition: Printed edition: ISBN 9789813345843
    Language: English
    DOI: 10.1007/978-981-33-4582-9
    URL: https://doi.org/10.1007/978-981-33-4582-9
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