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Full Description
This volume presents the Proceedings of the International Conference on Advances in Machine Learning and Big Data Analytics (ICMLBDA 2024), held at NIT Kurukshetra, India, on 9-11 May 2024. Bringing together cutting-edge research at the intersection of machine learning and big data, the book highlights emerging trends, novel methodologies, and innovative applications across industries and academia.
Designed for a broad audience—from software engineers and data scientists to machine learning practitioners—it provides valuable insights for professionals seeking to expand their expertise and stay ahead in fast-evolving technological landscapes.
Equally relevant to the academic community, the volume serves as a resource for students, educators, and researchers in computer science, data science, and related fields. Whether used as a reference, a teaching supplement, or a source of inspiration for future work, this proceedings collection captures the current pulse of innovation in data-driven technology showcased at ICMLBDA 2024.
Contents
Applications and Future Challenges of IoT Communication in 5G Network.- Long Range Water Management System Using LoRaWAN.- Automated Assessment of Facial Action Unit Models for Stress Prediction using Deep Learning Pipeline.- DEEP LEARNING BASED NASH LIVER STEATOSIS SEGMENTATION.- Proactive Fault Tolerance through VM Failure Prediction using Ensemble Method in Cloud.- Predicting Poor Compliance to Psychotropics in Children Using a Machine Learning Approach.- Micro-expression Recognition using Generative Adversarial Network-based Convolutional Neural Network.- Integration of Digital Twin, AI, and IoT in Smart Healthcare Systems.- Enhancing Cyberbullying Detection: A Stacked Ensemble Approach.- Optimizing MobileNetV2 Hyperparameters for Improved Adaptation to Iron Ore Microscopic Image Classification.- New Exact Travelling Wave Solution to Quantum Probability Based Ivancevic Option Pricing Model.- Improving Autism Spectrum Disorder Detection in Children: Leveraging Machine Learning Methods on Questionnaire Data.- Advancements in Text-to-Image Generation: An Augmented GAN Approach.- ARA-residual power series method for solving Allen-Cahn Equation arising in oil pollution.- Enhancing Transparency in Loan Approval: Exploring eXplainable AI for Bias Detection.- Empirical Comparison of Machine Learning and Deep Learning Models for Sensor Data-based Human Activity Recognition.- Smart Wearable for Quick Identification of Cardiac Arrest.- Simulation and Evaluation of BLDC Motor Control using Simulink for Efficient Fault Detection and Product Development for Medical Devices.- PCF-SPR Biosensor for WBC and RBC Detection with KNN Regression Approach.- Enhancing Patient Privacy in Healthcare Records: Handwriting Recognition and Anonymization Techniques for Medication Data.- IoT Network Traffic Analysis Using Ensemble Learning.- Android Malware Detection Using Function Analysis in Conjunction with Ensemble Techniques.- Image-To-Speech: Bridging Visual and Auditory Worlds.- Autonomous Vehicles Security Using Blockchain and Artificial Intelligence.- Performance Analysis of Filtering Approaches for News Recommendations.- Automatic Plant Disease Detection and classification Using Deep Learning Models.- Advancing Indoor Localization Accuracy: A Convolutional Neural Network Approach.- MedAI AnomalyPro: Advancing Unsupervised Anomaly Detection in Medical Imaging.- AUTOMATION MAPPING OF EVERGREEN FOREST AND LAND USE LAND COVER BY USING MACHINE LEARNING AND REMOTE SENSING.- Explainable AI-assisted Insightful Breast Cancer Identification using Ultrasound Images: A Deep Learning Approach.- FederatedPersona Health: Advancing Privacy-Preserving Federated Learning in Healthcare with Dynamic Adaptations.- Fake Currency Detection using CNN and Image Processing.- Literature Survey Analysis: Detection and Analysis of Indian News Media Bias Using Machine Learning.- Enhanced Underwater Fish Segmentation: A YOLOv8 Approach.- Advanced Surveillance Moving Object Segmentation using Superior Object Delineation with Artificial Hummingbird and Crayfish Optimization Algorithm.- Beyond Traditional Approaches: Customizing Modified Beam Search for Improved Visual Question Answering.- Transformer based Techniques for Emotion Recognition.- Analysis of Complex High Frequency Financial Data: A Hybrid Deep Learning Approach.- Brainwave Patterns and EEG Spectrograms: Leveraging Ensemble HBA Classifiers for Improved Analysis.- Comparative Analysis of Credit Card Fraud Detection Based on Metaheuristic Optimization.- Automated Decoding Emotions on Twitter: Advancing Text Analysis with Bidirectional GRU Models.- No Reference Quality Assessment Metric for Screen Content Images Using Structural and Contrast Features.- Designing of advanced intrusion detection mechanism for cyber attacks.- Voice-enabled chess game: A human-computer interaction approach.- A Machine Learning Approach for the Detection of Parkinson's Disease.- Weed Detection Using Deep Learning Techniques: A Survey.- Bearing Fault Classification of Vibration Signals using Correlation Coefficient and Support Vector Machine Classifier.- Local Binary Pattern and Principle Component Analysis Based Diagnosis of Alzheimer's Disease.- A comparative analysis of real-time facial emotion recognition algorithms.- DeepFoliage A Framework For Multi Label Foliar Disease Classification Using Deep Learning.- Securing 5G Network Slices Using Federated Learning.- Automated Polyp Detection utilizing YOLO V8 and deepSORT on colonoscopy videos.- Impact of Few-shot Learning on Covid19 Sentiment Analysis Dataset.- PRECISION WEED IDENTIFICATION IN COTTON FIELDS USING IMAGE SEGMENTATION.- Detection and Classification of Power Quality Disturbances using Supervised Learning Technique.- Lightweight Single Framework for Creating Sparse Generative Pretrained Transformers of Diverse Applications Using Custom Datasets.- Enhanced Image Captioning using Scene Text - A Holistic Survey.- New Route Discovery Algorithm in Delay Tolerant Network for Post Disaster Management.- Boosting Adversarial Robustness: Evaluating Adversarial Training on UC Merced Dataset with Interpretations.- Guarding the Inbox: Enhancing Email Security with Firefly Optimization Algorithm and Fuzzy Logic for Phishing Detection.- IoT Network Security: A Robust Framework for Cyber-attack Detection through Feature Selection and Majority Voting Ensemble Classifier.- Image Caption Generator Using Deep Learning.- Examine the Impact of COVID-19 on Tourism in Oman Using Machine Learning Techniques.- Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy.- Index.
