Meta Heuristic Techniques in Software Engineering and Its Applications

METASOFT 2022

AvMihir Narayan Mohanty,Swagatam Das

Inbunden, Engelska, 2022

Del 1 i serien Artificial Intelligence-Enhanced Software and Systems Engineering

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Beskrivning

This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization.

Produktinformation

Utgivningsdatum:2022-10-18
Mått:155 x 235 x 26 mm
Vikt:717 g
Format:Inbunden
Språk:Engelska
Serie:Artificial Intelligence-Enhanced Software and Systems Engineering
Antal sidor:358
Förlag:Springer International Publishing AG
ISBN:9783031117121

Utforska kategorier

Programvaruutveckling inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Performance analysis of Heuristic optimization algorithms for Transportation problem.- Source Code Features Based Branch Coverage Prediction using Ensemble Technique.- Implicit Methods of Multi-Factor Authentication.- Comparative Analysis of different Classifiers Using Machine Learning Algorithm for Diabetes Mellitus.- Survey on Machine Learning Techniques for Software Reliability Accuracy Prediction.- Classification of Pest in Tomato Plants using CNN.- Deep Neural Network Approach For Identifying Good Answers in Community Platforms.- Time Series Analysis of SAR-Cov-2 virus in India using Facebook’s Prophet.- Model-Based Smoke Testing Approach of Service Oriented Architecture (SOA).- Role of Hybrid Evolutionary Approaches for Feature Selection in Classification: A Review.- Evaluation of Deep Learning Models for Detecting Breast Cancer using Mammograms.- Evaluation of Crop Yield Prediction using arsenal and Ensemble Machine learning algorithms.- Notification Based Multichannel MAC(NM-MAC) Protocol for Wireless Body Area Network.- A multi Brain Tumor Classification using a Deep Reinforcement Learning Model.- A Brief Analysis on Security in Healthcare Data using Blockchain.- A Review on Test Case Selection, Prioritization and Minimization in Regression Testing.- Artificial Intelligence Advancement in Pandemic Era.- Predictive technique for Identification of Diabetes using Machine Learning.- Prognosis of Prostate Cancer Using Machine Learning.- Sign language Detection Using Tensorflow Object Detection.- Automated Test Case Prioritization using Machine Learning.- A New Approach To Solve Linear Fuzzy Stochastic Differential Equation.- An Improved Software Reliability Prediction Model by Using Feature Selection and Extreme Learning Machine.- Signal Processing Approaches for Encoded Protein Sequences in Gynaecological Cancer Hotspot Prediction: A Review.- DepNet: Deep Neural Network based model for Estimating the Crowd Count.- Dynamic Stability enhancement of Power system by Sailfish Algorithm tuned fractional SSSC control action.- Application of Machine Learning Model Based Techniques for Prediction of Heart Diseases.- Software Effort and Duration Estimation using SVM and Logistic Regression.- A framework for ranking cloud services based on an integrated BWM-Entropy-TOPSIS Method.- An Efficient and Delay-Aware Path Construction Approach Using Mobile Sink in Wireless Sensor Network.- Application of Different Control Techniques of multi-area Power Systems.- Analysis of An Ensemble Model For Network Intrusion Detection.- D2D Resource Allocation for Joint Power Control in Heterogeneous Cellular Networks.- Prediction of Covid-19 Cases in Kerala based on meteorological parameters using BiLSTM Technique.