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  • 1
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore, | Singapore :Springer.
    UID:
    edoccha_BV049032965
    Format: 1 Online-Ressource (VIII, 373 p. 100 illus., 86 illus. in color).
    Edition: 1st ed. 2023
    ISBN: 978-981-9921-15-7
    Series Statement: Advanced Technologies and Societal Change
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9921-14-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9921-16-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9921-17-1
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    UID:
    almahu_9949552645202882
    Format: XXXIII, 741 p. 323 illus., 255 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819937349
    Series Statement: Lecture Notes in Networks and Systems, 725
    Content: This book features high-quality research papers presented at the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2023), held at Department of Computer Science and Engineering, Techno Main Salt Lake, West Bengal, India, during May 27-28, 2023. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics, and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
    Note: A New Technique of Cipher Type Identification using Convolutional Neural Networks -- Monthly Rainfall forecasting Using Sequential Models -- Detection and Classification of Dental Caries Using Deep and Transfer Learning -- Method Level Code Smells Detection Using Machine Learning Models -- Performance Investıgatıon of Svm and Modıfıed Svm Algorıthms for Acute Health Dıagnosıs -- An Efficient Multifactor Authentication System -- A CNN based approach for Face Recognition under dif-ferent orientations -- A Deep Learning Approach for Detection of Disease in Plant Leaves -- Label Consistency based Modified Sequential Dictionary Learning based Approach for PIR Sensor based Detection of Human Movement Direction -- Machine Learning Based Phishing Detection in Heterogeneous Information Network.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819937332
    Additional Edition: Printed edition: ISBN 9789819937356
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 3
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore, | Singapore :Springer.
    UID:
    edocfu_BV049032965
    Format: 1 Online-Ressource (VIII, 373 p. 100 illus., 86 illus. in color).
    Edition: 1st ed. 2023
    ISBN: 978-981-9921-15-7
    Series Statement: Advanced Technologies and Societal Change
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9921-14-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9921-16-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9921-17-1
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    almahu_9949254904502882
    Format: XXII, 1076 p. 555 illus., 429 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811676109
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 101
    Content: This book gathers selected papers presented at the 5th International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI 2021), organized by JCT College of Engineering and Technology, Coimbatore, Tamil Nadu, India during 27 - 28 August 2021. This book solicits the innovative research ideas and solutions for almost all the intelligent data intensive theories and application domains. The general scope of this book covers the design, architecture, modeling, software, infrastructure and applications of intelligent communication architectures and systems for big data or data-intensive applications. In particular, this book reports the novel and recent research works on big data, mobile and wireless networks, artificial intelligence, machine learning, social network mining, intelligent computing technologies, image analysis, robotics and autonomous systems, data security and privacy.
    Note: An Optimized Convolutional Neural Network Model for Wild Animals Detection Using Filtering Techniques and Different Opacity Levels -- Audio Denoising using Deep Neural Networks -- Concept and Development of Triple Encryption Lock System -- Ease and Handy Household Water Management System -- Cotton Price Prediction and Cotton Disease Detection Using Machine Learning -- Intrusion Detection System intensive on Securing IoT Network Environment based on Machine Learning Strategy -- Artificial Intelligence based Phonocardiogram: Classification using Cepstral Features -- Analysis of IoT based Healthcare Framework System using Machine Learning. - A Gender Recognition System from Human Face Images using VGG16 with SVM -- Deep Learning Aproach for RPL Wormhole Attack -- Autonomous Driving Vehicle System Using LiDAR Sensor -- Machine Learning Based Approach for Therapeutic Outcome Prediction of Autism Children -- A Survey on Image Emotion Analysis for Online Reviews -- IoT based Electricity Theft Monitoring System -- Prediction of Solar Power Using Machine Learning Algorithm -- Detecting Fake News using Machine Learning -- A Survey on Blockchain enabled by Artificial Intelligence -- Methodologies to Ensure Security and Privacy of an Enterprise Healthcare Data Warehouse -- Emotion and Collaborative based Music Recommendation System -- Interactive Agricultural Chatbot based on Deep Learning -- Hybrid Beamforming for Massive MIMO Antennas under 6 GHz Mid-Band -- A Robust Authentication and Authorization System Powered by Deep Learning and Incorporating Hand Signals.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811676093
    Additional Edition: Printed edition: ISBN 9789811676116
    Additional Edition: Printed edition: ISBN 9789811676123
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 5
    UID:
    almahu_9949315538402882
    Format: XXVIII, 665 p. 342 illus., 265 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811930898
    Series Statement: Lecture Notes in Networks and Systems, 480
    Content: This book features high-quality research papers presented at the 4th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2022), held at Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, India, during 23 - 24 April 2022. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
    Note: COVID-19 detection using Deep Learning: A comparative study of Segmentation Algorithms -- Time series analysis on Covid 19 Summarized Twitter data Using Modified TextRank -- Low-computation IoT System Framework For -- Face Recognition Using Deep Learning Algorithm -- Vehicle Number Plate Recognition System -- An Approach to Medical Diagnosis using Smart Chatbot -- Performance Analysis of Hybrid Filter using PI and PI-Fuzzy based UVTG Technique -- Transmission of Aggregated Data in LOADng-based IoT Networks -- Deep Learning Based Facial Mask Detection Using Mobilenetv2 -- A Novel Approach to Detect Power Theft in a Distribution System Using Machine Learning and Artificial Intelligence -- Adversarial surround localization and robust obstacle detection with point cloud mapping -- Perceptive Analysis of Chronic Kidney Disease Data Through Conceptual Visualization -- Islanding Detection in Microgrid Using Decision Tree Pattern Classifier -- Identification of Lung Cancer Nodules from CT images using 2D Convolutional Neural Networks -- A Pixel Dependent Adaptive Gamma Correction based Image Enhancement Technique -- Summarization of Comic Videos -- TextUnet: Text Segmentation Using U-net -- A survey on Prediction of Heart Disease using Machine Intelligence Techniques -- Predictive analysis of child's mental health/psychology during the COVID-19 pandemic -- Impact of Security in Blockchain based Real Time Applications -- An Evaluative Review On Various Tele-Health -- Systems Proposed In COVID Phase -- Efficient Scheduling Algorithm Based On Duty-Cycle For e-Health Monitoring System -- Image Splicing Detection Using Feature Based Machine Learning Methods and Deep Learning Mechanisms -- Audio Driven Artificial Video Face Synthesis Using GAN and Machine Learning Approaches -- Design of an Elevator Traffic System Using MATLAB Simulation -- A Simple Strategy for Handling 'NOT' can Improve the Performance of Sentiment Analysis -- Rule based Classification using Particle Swarm Optimization for Heart Disease Prediction -- A Deep Learning Based Approach to Measure Confidence for Virtual Interviews -- A Commercial Banking Industry Resilience in the Case of Pandemic: An Impact Analysis through ANOVA -- Fractal Analysis of RGB Color Images -- Deep Features for COVID-19 Detection: Performance Evaluation on Multiple Classifiers -- Issues, Challenges, and Possibilities in IoT and Cloud Computing -- Agricultural Image Augmentation with Generative Adversarial Networks GANs -- Thermal Image Augmentation with Generative Adversarial Network for Agricultural Disease Prediction -- Learning Temporal Mobility Patterns to Improve QoS in Mobile Wireless Communications -- Automatic Question Generation from Video -- Features Selection for Vessel Extraction inspired -- by Survival of the Fittest method -- A Proposed Federated Learning Model for Vaccination Tweets -- A New Reversible Data Hiding Scheme by Altering Interpolated Pixels Exploiting Neighbor Mean Interpolation (NMI) -- A proposed Fuzzy Logic model forWaste Water Treatment Analysis -- Deep Learning Based Identification of Three Exotic Carp Fish Species -- Single Image Fog Removal using WLS smoothing filter combining CLAHE with DWT -- Smart Surveillance Video Monitoring for Home Intruder Detection using Deep Neural Network -- is-Entropy: A Novel Uncertainty Measure for Image Segmentation -- AGC based Market Modeling of Deregulated Power System Employing Electric Vehicles and Battery Energy Storage System -- Acute Lymphocytic Leukemia Classification using Color and Geometry Based Features -- Thermal Strain Resolution Improvement in Brillouin OTDR based DTS System using LWT-MPSO Technique -- Wrapper based Feature Selection Approach using Black Widow Optimization Algorithm for Data Classification -- Multi-objective Optimization for Complex Trajectory Tracking of 6-DOF Robotic Arm Manipulators -- MANDS: Malicious Node Detection System for Sinkhole attack in WSN using DRI and Cross Check Method -- An Intelligent Framework towards Managing Big Data in Internet of Healthcare Things -- Deep Learning Approach For Anamoly Detection In CAN Bus Network: An Intelligent LSTM-Based Intrusion Detection System -- Predictive Geospatial Crime Data Analysis and their Association with Demographic Features through Machine Learning Approaches -- Design of an image transmission system employing a hybridization of bit-plane slic-ing, run-length encoding and vector quan-tization based visual cryptography scheme -- Gravitational Search Optimized Light Gradient Boosting Machine for Identification of malicious access in IoT Network -- A Hybrid Semi-Supervised Learning with nature-inspired Optimization for Intrusion Detection System in IoT Environment -- Secure Sharing of Medical Images using Watermarking Technique -- An Impact Study on Covid-19 with Sustainable Sports Tourism: Intelligent Solutions, Issues and Future Challenges -- Deep Learning Based Framework For Breast Cancer Mammography Classification Using Resnet50 -- A Game Theoretic Group Coordination Strategy for Multi Robot Navigation -- Moth Flame Optimization Algorithm optimized Modified TID Controller for automatic generation control of multi area power system -- Identification of malicious access in IoT Network by using Artificial Physics Optimized Light Gradient Boosting Machine.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811930881
    Additional Edition: Printed edition: ISBN 9789811930904
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 6
    UID:
    almahu_9949301603502882
    Format: XXVI, 764 p. 345 illus., 269 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811694479
    Series Statement: Smart Innovation, Systems and Technologies, 281
    Content: This book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book is a collection of high-quality peer-reviewed research papers presented in the Sixth International Conference on Computational Intelligence in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India, during December 11-12, 2021. The book addresses the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.
    Note: Multi-sensor data fusion for Occupancy detection using Dempster-Shafer Theory -- Sentiment Analysis: A Recent Survey with Applications and a Proposed Ensemble Algorithm -- An Automated System for Facial Mask Detection and Social Distancing During Covid - 19 Pandemic -- Detection of Insider Threats Using Deep Learning: A Review -- An Incisive analysis of Advanced Persistent Threat detection using Machine learning Techniques -- Intelligent Computing Systems For Diagnosing Plant Diseases -- Multimodal MRI Analysis for Segmentation of Intra-tumoral Regions of High-Grade Glioma using VNet and WNet based deep models -- Early Onset Alzheimer Disease Classification using Convolution Neural Network.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811694462
    Additional Edition: Printed edition: ISBN 9789811694486
    Additional Edition: Printed edition: ISBN 9789811694493
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 7
    UID:
    almafu_BV047135410
    Format: 1 Online-Ressource (XXV, 691 p. 450 illus., 338 illus. in color).
    Edition: 1st ed. 2021
    ISBN: 978-981-158-439-8
    Series Statement: Lecture Notes in Electrical Engineering 702
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-158-438-1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-158-440-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-158-441-1
    Language: English
    Keywords: Robotik ; Mechatronik ; Signalverarbeitung
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 8
    UID:
    almahu_9949357541002882
    Format: XXVI, 827 p. 395 illus., 313 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811928949
    Series Statement: Lecture Notes in Networks and Systems, 458
    Content: This book features research papers presented at the 5th International Conference on Intelligent Sustainable Systems (ICISS 2022), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 17-18, 2022. The book discusses latest research works that discusses the tools, methodologies, practices, and applications of sustainable systems and computational intelligence methodologies. The book is beneficial for readers from both academia and industry.
    Note: Chapter 1. Lung Ultrasound Covid-19 Detection using Deep Feature Recursive Neural Network -- Chapter 2. Predicting New York Taxi Trip Duration based on Regression Analysis using ML and Time Series Forecasting using DL -- Chapter 3. Implementation of Classical Error Control Codes for Memory Storage Systems using VERILOG -- Chapter 4. Parkinson's Disease Detection using Machine Learning -- Chapter 5. Sustainable Consumption: An Approach to Achieve the Sustainable Environment in India -- Chapter 6. The Concept of a Digital Marketing Communication Model for Higher Education Institutions -- Chapter 7. A Lightweight Image Colorization Model based on U-Net Architecture -- Chapter 8. Comparative Analysis of Obesity Level Estimation based on Life-Style using Machine Learning -- Chapter 9. An empirical Study on Millennials' Adoption of Mobile Wallets -- Chapter 10. AIoT Based Smart Mirror -- Chapter 11. AI Assisted College Recommendation System -- Chapter 12. An Agent-based Model to Predict the Emergence of Student Protests in Public Higher Education Institution -- Chapter 13. High Accuracy for Hyperspectral Image Classification using Hybrid Spectral 3-D-2-D CNN -- Chapter 14. Design Smart Curtain Using Light Dependent Resistor -- Chapter 15. Machine Learning Assisted Binary and Multiclass Parkinson's Disease Detection. etc.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811928932
    Additional Edition: Printed edition: ISBN 9789811928956
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 9
    UID:
    almahu_9948612945102882
    Format: XXXII, 597 p. 344 illus., 255 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811582189
    Series Statement: Lecture Notes in Networks and Systems, 151
    Content: This book includes selected papers from the International Conference on Green Technology for Smart City and Society (GTSCS 2020), organized by the Institute of Technical Education and Research, Siksha 'O' Anusandhan University, Bhubaneswar, India, during 13-14 August 2020. The book covers topics such as machine learning, artificial intelligence, deep learning, optimization algorithm, IoT, signal processing, etc. The book is helpful for researchers working in the discipline of Electrical, Electronics and Computer Science. The researchers working in the allied domain of communication and control will also find the book useful as it deals with the latest methodologies and applications.
    Note: Intelligent Computing in IoT enabled Smart Cities: A Systematic Review -- Optimal Design of Fractional Order 2DOF-PID Controller for Frequency Control in Interconnected System -- Electrical properties of the PVDF-lead free ceramic-based composite film for sensor applications -- IoT Based Voice Controlled Energy Efficient Intelligent Traffic and Street Light Monitoring System -- Unsupervised Reduced Deep Convolutional Neural Network of Process Empirical Wavelet Transform Data for Recognition of the Early Stage of Alzheimer's Disease -- Auxiliary dynamic damping loop in the microgrid for enhancing frequency recovery rate -- Design of Chatbots using Node-Red -- Power Factor Correction for Single Phase Domestic Loads Using Microcontroller and Triac -- Techniques Behind Smart Home Automation System Using NLP and (Internet of Thing) IoT -- Salp swarm optimized PID controller for frequency controlof hybrid power system with UC and UPFC -- Implementation of fuzzy hysteresis controller for a three phase photovoltaic multilevel inverter -- Robust Control and Inverter Approach for Power Quality Improvement -- Economic Analysis of Solar Water Pumping System for Irrigation -- Reliability Assessment and Cost Estimation of a Hybrid Renewable Micro-Grid System -- An Ontology based Matchmaking Technique forCloud Service Discovery and Selection using Aneka PaaS -- Proper Harmonic Analysis of Load Current of a Single Phase 5-level Voltage Source Inverter using HCC -- A New Sparse Array Configuration for Direction Of Arrival Estimation -- Forecasting of Net Asset Value of Indian Mutual Funds using Firefly Algorithm based Neural Network Model -- Toward Ultimate Scaling: From FinFETs to Nanosheet Transistors -- Performance of a Free Space Optical Link with ACO-OFDM based Signal Transmission under Beam-wander-dominated Atmospheric Turbulence -- A Comparative Analysis of Demand Response on Different Operational Strategies of Battery Energy Storage System for Distribution System -- Design and Analysis of Hands Free Wireless Charging System -- Fault Tolerance Investigation of Solar Photovoltaic Strings Operating under NOCT -- Frequency control of an AC microgrid with fractional controller -- Effectiveness of Back Propagation Algorithm in Healthcare Data Classification.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811582172
    Additional Edition: Printed edition: ISBN 9789811582196
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 10
    UID:
    almahu_9949226761802882
    Format: XXIV, 765 p. 338 illus., 207 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811625435
    Series Statement: Advances in Intelligent Systems and Computing, 1349
    Content: This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 - 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
    Note: Application of Big Data and Machine Learning for Astrological Predictions -- A Comparative Analysis of Machine Learning Approaches in Personality Prediction Using MBTI -- Performance Analysis of OFDM System on Multipath Fading and Inter Symbol Interference (ISI) Using AWGN -- Object Detection and Classification from a Real Time Video using SSD and YOLO Models -- A skin cancer image detection interface tool using VLF support vector machine classification -- Convolutional Neural Networks based Sentence Level Classification of Crime Documents -- An optimum fuzzy EOQ model for deteriorating items with shortages in a particular period -- Bangla Spoken numerals recognition by using HMM.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811625428
    Additional Edition: Printed edition: ISBN 9789811625442
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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