Advances in Machine Learning and Big Data Analytics I, 2024 ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 Springer Proceedings in Mathematics & Statistics Series, Vol. 441

Langue : Anglais

Coordonnateurs : Patel Ashokkumar, Kesswani Nishtha, Mishra Madhusudhan, Meher Preetisudha

Couverture de l’ouvrage Advances in Machine Learning and Big Data Analytics I

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This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.

Preface.- Optimized Neural Networks Archetype for Prediction of Socio-Economic Class of Women in India.- Improvement of UPFC Performance in Power Systems Using Artificial Intelligence.- Similarity Analysis of Protein Sequences with a New 3-D Graphical Representation Technique.- Enhanced Security and Robustness of Data Using Steganography.- A TTIG Based Deep Convolution Combined GAN and CLS for Text to Image Synthesis.- Smart Agricultural Greenhouse System: A Context-aware Application.- Deep Learning Approach for Analyzing and Predicting Thyroid Cancer in Computed Tomography Images.- Identifying Essential Hub Genes and Protein Complexes in Malaria GO Data using Semantic Similarity Measures.- Improving Performance of Plant Disease Detection using YOLOv7 and YOLOv8.- Detection of Congenital Heart Disease from Heart Sounds using 2DCNN-BiLSTM with Attention Mechanism.- Automated Reviewer Assignment Process using Machine Learning Technique.- Early Prediction of Breast Cancer using SupervisedMachine Learning.- A Method for Detecting Retinal Micro aneurysms in the Fundus Using CR-SF and RG-TF.- Pilot Super Resolution Network (PSRN) based Mango Fruit Classification.- Classification of Parkinson’s Disease Using Machine Learning Techniques.- Performance Evaluation of Quality of Service (QoS) in Modified Ad hoc On-Demand Distance Vector (MAODV) Routing Protocol in Manets.- Minimize the Energy Consumption to Increase the Network Lifetime for Green IoT Environment.- Object Detection and Enhancement in Low Light Images using Deep Learning and Computer Vision for High-Quality Images.- Brain Stroke Identification from MRI Images using Artificial Intelligence.- DDoS impact and mitigation techniques: Classification and Security practices.- A Survey on Skin Cancer Detection Using Artificial Intelligence.- Unveiling Hate Speech: Identifying Toxic Comments Targeting Women in Online Social Media Posts.- A Real-Time Medical Data Sharing and Pre-Maintenance Using Lite Consensus Blockchainwith IoT.- A Review of Ranking Approach to Rank Interval-valued Trapezoidal Intuitionistic Fuzzy Sets.- Identification of retinal fundus in diabetic patients using deep learning algorithms.- A Survey on Sentiment Analysis and Age Factor Influences on Promotional Brand usage of Personal Care Products using e-Commerce.- An Empirical Evaluation of ResNet-SE-16 for Accurate Classification of Lung Cancer using Histopathological Images

Smart Health Prediction Using Random Forest.- Vulnerability Assessment and Penetration Testing Using Parrot Operating System.- Assessing NSAID Threat Degree of Unfavorable Medical Reactions Using Machine Learning.- Searchable Encryption for Privacy Preserving with Fine Grained Access Control.- Classification for Disease Gene Association.- Machine Learning-Based Air Pollution Monitoring and Forecasting.- An Energy Efficient Segmentation Technique Enabled Deep Neural Network for Melanoma Detection and Classification from Dermoscopic Images.- A Novel Parasitic Mushroom-Like Structure with High Gain Microstrip Patch Antenna for Broadband Applications.- Design of EV Battery System Using Grid-Interfaced Solar PV Powered Electric Vehicle Battery System with Novel Adaptive Digital Control Algorithm.- A Decentralized and Intelligent Approach for Suspicious Event Detection in Surveillance Range.- Facial Emotion Recognition using Artificial Intelligence.- Artificial Intelligence Enhanced Security Problems in Real-Time Scenario using Blowfish Algorithm.- Image Selection for Graphical Password Authentification.- A Hybrid Machine Intelligence Demographic Feature Selection Approach to Improve Recommendation System in Social Domain.- An Exploratory Review of Machine Learning and Deep Learning Applications in Healthcare Management.- Bone Fracture Prediction using Machine Learning and Deep Learning Techniques.- Plant Disease Detection Using Modern Deep Learning Approach: YOLOv7.- Analysis of the life insurance business performance based on COVID byusing machine learning algorithms.- Soft Computing for Visual Recognition through audio for Visually Impaired.- Diet Meal Plan Chatbot.- MRI Images Based Brain Tumor Classification Using Convolution Neural Networks.- Segmenting MRI Images Using Federated Learning for Brain Tumor Detection.- An Ensemble Model of Skin Disease Detection Using CNN and Transfer Learning.- Session Based News Recommendation System.- A Fusion-based Approach for Generating Image Captions.- Comparison of Machine Learning Algorithms for Detection of Stuttering in Speech.- The Evolutionary Impact of Pattern Recognition in Research Applications – A Wide Spectrum Survey.- Prediction of GATE Examination Clearance for Fresh Graduate Candidates: An Advanced Machine Learning Approach.- Index.

Provides researchers with tools to analyze and solve incomplete data Addresses potential aspects of machine learning techniques in simulations of applications Shows the powerful algorithms, concepts and principles of ML and BDA to a wide spectrum of research cases