Advances in Machine Learning and Big Data Analytics

ICMLBDA 2024, NIT Kurkshetra, India, May 9-11

Frank Lin, Ashokkumar Patel, Nishtha Kesswani (Herausgeber)

Buch | Hardcover

XIV, 720 Seiten

2026
Springer International Publishing (Verlag)
978-3-032-15969-4 (ISBN)

Infos

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.

Inhalt

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:

Produkt-Details

• Erscheint lt. Verlag: 20.3.2026
• Reihe/Serie: Springer Proceedings in Mathematics & Statistics
• Zusatzinfo: XIV, 720 p. 217 illus., 203 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Maße: 155 x 235 mm
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Schlagworte: Artificial Intelligence Methods • Big Data Analytics • Computational Intelligence • Computer Science • conference proceedings • Data-driven Innovation • Emerging technologies in data science • Informatics • machine learning applications
• ISBN-10: 3-032-15969-5 / 3032159695
• ISBN-13: 978-3-032-15969-4 / 9783032159694
• Zustand: Neuware