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  • 1
    UID:
    almahu_9949070743502882
    Format: XX, 454 p. 236 illus., 168 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030719753
    Series Statement: Intelligent Systems Reference Library, 204
    Content: This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed. .
    Note: Advances in Machine Learning Approaches in Cancer Prognosis -- Data Analysis on Cancer Disease using Machine Learning Techniques -- Learning from multiple modalities of imaging data for cancer detection/diagnosis -- Neural Network for Lung Cancer diagnosis -- Improved Thyroid Disease Prediction Model Using Data Mining Techniques with Outlier Detection -- Automated Breast Cancer Diagnosis Based on Neural Network Algorithms. .
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030719746
    Additional Edition: Printed edition: ISBN 9783030719760
    Additional Edition: Printed edition: ISBN 9783030719777
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    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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  • 3
    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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  • 4
    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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  • 5
    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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  • 6
    UID:
    almahu_9949420154202882
    Format: XVIII, 293 p. 111 illus., 77 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031175442
    Series Statement: Intelligent Systems Reference Library, 233
    Content: This book introduces a variety of well-proven and newly developed nature-inspired optimization algorithms solving a wide range of real-life biomedical and healthcare problems. Few solo and hybrid approaches are demonstrated in a lucid manner for the effective integration and finding solution for a large-scale complex healthcare problem. In the present bigdata-based computing scenario, nature-inspired optimization techniques present adaptive mechanisms that permit the understanding of complex data and altering environments. This book is a voluminous collection for the confront faced by the healthcare institutions and hospitals for practical analysis, storage, and data analysis. It explores the distinct nature-inspired optimization-based approaches that are able to handle more accurate outcomes for the current biomedical and healthcare problems. In addition to providing a state-of-the-art and advanced intelligent methods, it also enlightens an insight for solving diversified healthcare problems such as cancer and diabetes.
    Note: Nature-Inspired Optimization Algorithms: Past to Present -- Preventing the early spread of infectious diseases using Particle Swarm Optimization -- Optimized gradient boosting tree-based model for obesity level prediction from patient's physical condition and eating habits.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031175435
    Additional Edition: Printed edition: ISBN 9783031175459
    Additional Edition: Printed edition: ISBN 9783031175466
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 7
    UID:
    almahu_9949226770202882
    Format: XV, 569 p. 234 illus., 173 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030747619
    Series Statement: Studies in Computational Intelligence, 963
    Content: This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers. .
    Note: COVID-19 Pandemic: Theory, Concepts and Challenges -- SARS-CoV-2 Infection and Antibody-Dependent Enhancement -- Application of Deep Learning Techniques for COVID-19 Management -- Geographic spread and control of 2019-nCoV in the absence of vaccine -- An integrated GIS/GPS based e-Governance approach for different agencies to fight againstCOVID-19 -- Deep Learning for COVID-19. .
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030747602
    Additional Edition: Printed edition: ISBN 9783030747626
    Additional Edition: Printed edition: ISBN 9783030747633
    Language: English
    Subjects: Computer Science
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 8
    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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  • 9
    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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  • 10
    UID:
    b3kat_BV046452089
    Format: 1 Online-Ressource (xxvii, 596 Seiten) , Illustrationen, Diagramme
    ISBN: 9789811524493
    Series Statement: Advances in intelligent systems and computing 1120
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-15-2448-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-15-2450-9
    Language: English
    Keywords: Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
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