Advances in Machine Learning and Big Data Analytics I

ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30
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Inhaltsangabe

Preface.- 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.- 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.- 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.- 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.- Unveiling Hate Speech: Identifying Toxic Comments Targeting Women in Online Social Media Posts.- Identification of retinal fundus in diabetic patients using deep learning algorithms.- 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.- A  Novel parasitic mushroom-like structure with high gain microstrip patch antenna for broadband applications.- Facial Emotion Recognition using Artificial Intelligence.- 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 by using machine learning algorithms.- 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.- Foreseeing Worker Attrition Using Machine Learning.- Mouse Controlling Using Eyeball Action.- Power Quality Improvement by Using Shunt Hybrid Active Power Filter.- 
Integration of Renewable Energy Systems into utility grid: A review on Power Quality Issues, Mitigating devices and Control Algorithms.- Traffic Control System for Congestion Control and Ambulance Clearance.- QR Based Authentication for Login and Payment.- Smart Irrigation Watering System Using IoT.- IoT Based Transmission Line Multiple Fault Detection and Indication to Electricity Board.- Design Of Off Board Electric Vehicle Charger Using PV Array Through Matlab-Simulink.- Human stress detection in sleep mode compared with non-sleep mode using machine learning algorithms.- Medical Diagnosis Prediction using Deep Learning.- Detecting Hard Landing of Flights: E-Pilots.- Detection of Glaucoma Using MobileNet, XAI and IML.- Attainment Expedients of Markovian Heterogeneous Water Heaters in Queueing Models by Matrix Geometry Method.- Identification Of Medicinal Plants Using Inception V3 Model.- Smart Gardening Using Internet of Things.- Predictive Analytics of Blood Donor Risk Assessment Using Machine Learning Methods.- Risk Analysis of Covid-19 Patients Mortality Rate in Emergency Ward.- Machine Learning Classification Analysis on Leaf Disease Data.- Conversion of Type-2 Intuitionistic Fuzzy Sets into Interval-valued Intuitionistic Fuzzy Sets and its implementation in Decision Making.- A Framework for Secure Database and Similarity Comparison in Android.- A Comprehensive review and a Conceptual framework for predicting the position of the mobile sinks in Wireless sensor networks.- Brain Computer Interface for Multiple Applications Control.- Predicting Student Academic Performance using Machine Learning: A Comparison of Classification Algorithms.- A Novel Approach in Machine Learning for Solar Energy Prediction System.- Real-time Tomato Leaf Disease Detection and Diagnosis using Deep Learning-based Computer Vision Techniques.- Index.

Produktdetails
  • Erscheinungsdatum: 31.01.2025
  • Autor/Autorin: Ashokkumar Patel
  • Reihe: Springer Nature Proceedings excluding Computer Science
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 40.2 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 741 Seiten
  • ISBN: 9783031513381
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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