Search results for ""author satchidananda dehuri""
Springer Machine Intelligence Tools and Applications
Fuzzy Guided Genetic Algorithm Routing for Energy Conservation in Wireless Sensor Networks.- Comparative Analysis of Prediction Models for Software Bug Prediction.- Mandelbug Classification Engine Transfer Learning and NLP Approach.- Software Maintenance Prediction Using Regression Models.- Rough Set ELM Classifier and Deep Architecture for Remote Sensing Images.- Design of an Efficient Model for Satellite Image Classification Using Graph Neural Networks and Elephant Herding Optimization.- Multifaceted Analysis of Climate Trends and Air Quality in Indian Metropolises A Machine Learning and Time Series Forecasting Approach.- Machine Learning based Analysis and Forecasting of Electricity Demand in Misamis Occidental Philippines.- Implementation and Optimization of Swarm based System for Multi Agent Coordination and Task Execution in Marine Environment.- Implementing Deep NN for Plant Disease Detection and Diagnosis.- A PSO approach for two warehouse inventory problem with imperf
£224.99
Springer Verlag, Singapore Advances in Machine Learning for Big Data Analysis
This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.
£139.99
Elsevier Science Publishing Co Inc EEG Brain Signal Classification for Epileptic Seizure Disorder Detection
EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN and SVM classifiers, discuss RBF neural networks trained with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal. Final chapter present future developments in the field. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need the most recent and promising automated techniques for EEG classification.
£76.46
