| Description |
1 online resource : illustrations (chiefly color) |
| Series |
Lecture notes in networks and systems ; volume 480 |
|
Lecture notes in networks and systems ; v. 480.
|
| Contents |
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 childs 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 |
| Summary |
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 |
| Notes |
International conference proceedings |
|
Includes author index |
|
Online resource; title from PDF title page (SpringerLink, viewed July 5, 2022) |
| Subject |
Computational intelligence -- Congresses
|
|
Pattern recognition systems -- Congresses
|
|
Computational intelligence
|
|
Pattern recognition systems
|
| Genre/Form |
Electronic books
|
|
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
| Form |
Electronic book
|
| Author |
Das, Asit Kumar (Computer scientist), editor.
|
|
Nayak, Janmenjoy, editor.
|
|
Naik, Bighnaraj, editor.
|
|
Vimal, S., 1984- editor.
|
|
Pelusi, Danilo, editor.
|
| ISBN |
9789811930898 |
|
9811930899 |
|
