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Advances in Machine Learning and Big Data Analytics I ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 /

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...

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Dettagli Bibliografici
Ente Autore: SpringerLink (Online service)
Altri autori: Patel, Ashokkumar (Redattore), Kesswani, Nishtha (Redattore), Mishra, Madhusudhan (Redattore), Meher, Preetisudha (Redattore)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edizione:1st ed. 2025.
Serie:Springer Proceedings in Mathematics & Statistics, 441
Soggetti:
Mathematical statistics.
Machine learning.
Quantitative research.
Artificial intelligence > Data processing.
Mathematical Statistics.
Machine Learning.
Data Analysis and Big Data.
Data Science.
Accesso online:https://doi.org/10.1007/978-3-031-51338-1
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Sommario:
  • 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.

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