Pant M., Kumar T., Basterrech S., Banerjee C. (Eds.) Computational Network Application Tools for Performance Management

Springer, 2020. — 269 p. — (Asset Analytics: Performance and Safety Management). — ISBN: 978-981-32-9584-1.This book explores a range of important theoretical and practical issues in the field of computational network application tools, while also presenting the latest advances and innovations using intelligent technology approaches. The main focus is on detecting and diagnosing complex application performance problems so that an optimal and expected level of system service can be attained and maintained. The book discusses challenging issues like enhancing system efficiency, performance, and assurance management, and blends the concept of system modeling and optimization techniques with soft computing, neural network, and sensor network approaches. In addition, it presents certain metrics and measurements that can be translated into business value. These metrics and measurements can also help to establish an empirical performance baseline for various applications, which can be used to identify changes in system performance. By presenting various intelligent technologies, the book provides readers with compact but insightful information on several broad and rapidly growing areas in the computation network application domain.
The book’s twenty-two chapters examine and address current and future research topics in areas like neural networks, soft computing, nature-inspired computing, fuzzy logic and evolutionary computation, machine learning, smart security, and wireless networking, and cover a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications.
The book was written to serve a broad readership, including engineers, computer scientists, management professionals, and mathematicians interested in studying tools and techniques for computational intelligence and applications for performance analysis. Featuring theoretical concepts and best practices in computational network applications, it will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of soft computing, neural networks, machine learning, sensor networks, smart security, etc.Performance-Enhanced Hybrid Memetic Framework for Effective Coverage-Based Test Case Optimization
An Optimization Procedure for Quadratic Fractional Transportation Problem
A Nature Inspired PID like Fuzzy Knowledge-Based Fractional-Order Controller for Optimization
Neuro-Fuzzy-Rough Classification for Improving Efficiency and Performance in Case-Based Reasoning Retrieval
Better Performance in Human Action Recognition from Spatiotemporal Depth Information Features Classification
Selecting Appropriate Multipath Routing in Wireless Sensor Networks for Improvisation of System’s Efficiency and Performance
A Classification of ECG Arrhythmia Analysis Based on Performance Factors Using Machine Learning Approach
An Efficient Semiautomatic Active Contour Model of Liver Tumor Segmentation from CT Images
A Classification-Based Summarization Model Using Supervised Learning
Low-Cost and Energy-Efficient Smart Home Security and Automation
An Improvised Model for High-Security License Plate Detection and Recognition for Indian Vehicle to Enhance Detection Accuracy
Process Efficient Artificial Neural Network-Based Approach for Channel Selection and Classification of Seizures
The Presence of Anti-community Structure in Complex Networks
A Hybrid ACO-SVM Approach for Detecting and Classifying Malaria Parasites
Performance Enhanced and Improvised Approach to Reduce Call Drops Using LTE-SON
Performance Evaluation of Various Transmission Control Protocols in NS2
Identifying Optimal Path to Boost Performance of Distribution Chain System Using Queueing Models
Secured Cluster-Based Distributed Dynamic Group Key Management for Wireless Sensor Networks
Efficiency and Precision Enhancement of Code Clone Detection Using Hybrid Technique-Based Web Tool
Performance Analysis of Ad Hoc on-Demand Distance Vector Routing Protocol for Mobile Ad Hoc Networks
Precision Enhancement of Driver Assistant System Using EEG Based Driver Consciousness Analysis & Classification
Financial Analysis of Solar Energy Development in India: Potential, Challenges and Policies