
Big Data, Machine Learning, and Applications
Proceedings of the 2nd International Conference, BigDML 2021
Sorozatcím: Lecture Notes in Electrical Engineering; 1053;
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A termék adatai:
- Kiadás sorszáma 1st ed. 2024
- Kiadó Springer
- Megjelenés dátuma 2023. november 30.
- Kötetek száma 1 pieces, Book
- ISBN 9789819934805
- Kötéstípus Keménykötés
- Terjedelem778 oldal
- Méret 235x155 mm
- Súly 1492 g
- Nyelv angol
- Illusztrációk 101 Illustrations, black & white; 294 Illustrations, color 558
Kategóriák
Rövid leírás:
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 volume will benefit research scholars, academicians, and industrial people who work on data storage and machine learning.
Hosszú leírás:
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 volume will benefit research scholars, academicians, and industrial people who work on data storage and machine learning.
TöbbTartalomjegyzék:
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.
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