Big Data, Machine Learning, and Applications Proceedings of the 2nd International Conference, BigDML 2021 /

This book constitutes refereed proceedings of the Second International Conference on Big Data, Machine Learning, and Applications, BigDML 2021. The volume focuses on topics such as computing methodology; machine learning; artificial intelligence; information systems; security and privacy. This volum...

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Détails bibliographiques
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Borah, Malaya Dutta (Éditeur intellectuel), Laiphrakpam, Dolendro Singh (Éditeur intellectuel), Auluck, Nitin (Éditeur intellectuel), Balas, Valentina Emilia (Éditeur intellectuel)
Format: Électronique eBook
Langue:anglais
Publié: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Édition:1st ed. 2024.
Collection:Lecture Notes in Electrical Engineering, 1053
Sujets:
Accès en ligne:https://doi.org/10.1007/978-981-99-3481-2
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Table des matières:
  • Android application-based security surveillance implementing machine learning
  • Realtime Object Distance Measurement Using Stereo Vision Image Processing
  • An Insight on Drone Applications in Surveillance Domain
  • Handwritten Mixed Numerals Classification System
  • IoT Based Smart Farm Monitoring System
  • An Extensive Review of the Supervised Learning Algorithms for Spiking Neural Networks
  • Multitask learning based simultaneous facial gender and age recognition with a weighted loss function
  • VISUALIZING CRIME HOTSPOTS BY ANALYSING ONLINE NEWSPAPER ARTICLES
  • Applications of Machine Learning for Face Mask Detection during COVID-19 Pandemic
  • A cascaded deep learning approach for detection and localization of crop-weeds in RGB images for oral presentation
  • Ensemble of Deep Learning Enabled Tamil Handwritten Character Recognition Model
  • A Comparative Study of Loss Functions for Deep Neural Networks in Time Series Analysis
  • Learning Algorithm for Threshold Softmax Layer to Handle Unknown Class Problem
  • Traffic Monitoring and Violation Detection using Deep Learning
  • Conjugate Gradient Method for finding Optimal Parameters in Linear Regression
  • Rugby ball detection, tracking and future trajectory prediction algorithm
  • EARLY DETECTION OF HEART DISEASE USING FEATURE SELECTION AND CLASSIFICATION TECHNIQUES
  • Gun Detection System for Surveillance Cameras using HOG assisted KNN classifier
  • Optimized detection, classification and tracking with YOLOV5, HSV color thresholding and KCF tracking
  • Covid-19 detection using chest X-ray images
  • Comparative Analysis of LDA Algorithm for Low Resource Indian Languages with its Translated English Documents
  • Text Style Transfer: A Comprehensive Study on Methodologies and Evaluation
  • Classification of Hindustani Musical Ragas using One Dimensional Convolutional Neural Networks
  • W-Tree: A Concept Correlation Tree for Data Analysis and Annotations
  • Crawl Smart: A Domain Specific Crawler
  • Evaluating the effect of leading indicators in customer churn prediction
  • Classification of Skin Lesion Using Image Processing and ResNet50
  • Data Collection and Pre-Processing for Machine Learning-based Student Dropout Prediction
  • Nested Named Entity Recognition in Multilingual Code-Switched NLP
  • Deep Learning based Semantic Segmentation of Blood Cells from Microscopic Images
  • A Partitioned Task Offloading Approach for Privacy Preservation at Edge
  • Artificial Intelligence in Radiological Covid19 Detection: A State of the Art Review
  • Anomaly Detection in SCADA Industrial Control Systems using Bi-directional Long Short-Term Memory
  • Implementing Autonomous Navigation on an Omni Wheeled Robot Using 2D LiDAR, Tracking Camera and ROS
  • Analysis of Deep Learning Models for Text Summarization of User Manuals
  • Modelling Seismic Performance ofReinforced Concrete Buildings within Response Spectrum Framework
  • A Survey on DDoS Detection using Deep Learning in Software Defined Networking
  • A data driven approach to predict the risk of readmission among patients with Diabetes Mellitus
  • Segmentation of dentin and enamel from panoramic dental Radiographic image (OPG) to detect tooth wear
  • REVISITING FACIAL KEY POINT DETECTION - AN EFFICIENT APPROACH USING DEEP NEURAL NETWORKS
  • A Hybrid Framework using Natural Language Processing and Collaborative Filtering for Performance Efficient Feedback Mining and Recommendation
  • Facial Recognition based Automatic Attendance Management System using Deep Learning
  • Improved Hamming-Space Based Nearest Neighbour Big Data Retrieval Algorithm
  • Application of Infrared thermography in assessment of Diabetic foot anomalies: a treatise
  • A Survey and Classification on Recommendation Systems
  • Analysis of Synthetic Data Generation Techniquesin Diabetes Prediction
  • Beyond Information Exchange: An Approach to Deploy Network Properties for Information Diffusion
  • Sentiment Analysis on worldwide COVID-19 outbreak
  • Post Vaccination Risk Prediction of COVID-19: Machine Learning Approach
  • Offensive Language Detection in Under-resourced Algerian Dialectal Arabic Language
  • A Comparative Analysis of Modern Machine Learning Approaches for Automatic Classication of Scientic Articles
  • A review of Machine Learning algorithms on different Breast cancer datasets
  • The Online Behaviour of the Algerian Abusers in Social Media Networks
  • Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety
  • AI visualization in Nanoscale Microscopy
  • Convolutional Gated MLP: Combining Convolutions & gMLP
  • Unique Covariate Identity (UCI) Detection for Emotion Recognition through EEG Signals
  • A Simple and Effective Methodfor Segmenting Lung Regions from CT Scan Images using K-Means
  • Risk-Based Portfolio Optimization on Some Selected Sectors of the Indian Stock Market.