the proceedings contain 18 papers. the special focus in this conference is on Big Data Innovation for Sustainable Cognitive Computing. the topics include: A Comparative Analysis of Assignment Problem;a Survey on Memor...
ISBN:
(纸本)9783031283239
the proceedings contain 18 papers. the special focus in this conference is on Big Data Innovation for Sustainable Cognitive Computing. the topics include: A Comparative Analysis of Assignment Problem;a Survey on Memory Assistive Technology for Elderly;An Experimental Investigation on the Emotion Recognition Using Power Spectrum Density and Machine Learning algorithms in EEG Signals;Detection and Classification of Pneumonia and COVID-19 from Chest X-Ray Using Convolutional Neural Network;stopwords Aware Emotion-Based Sentiment Analysis of News Articles;An Empirical Study to Assess the Factors Influencing Banking Customers Toward FINTECH Adoption in Tamil Nadu;driver’s Drowsiness Detection Using SpO2;a Blockchain Framework for Investment Authorities to Manage Assets and funds;analysis of Metaheuristic algorithms for Optimized Extreme Learning Machines in Various Sectors;metal and Metal Oxide Nanoparticle Image Analysis Using Machine Learning Algorithm;efficient Implementation to Reduce the Data Size in Big Data Using Classification Algorithm of Machine Learning;tracer for Estimation of the Data Changes Delivered and Permalinks;Design and Development of a Smart Home Management System Based on MQTT Incorporated in Mesh Network;novel Machine-Learning-Based Decision Support System for Fraud Prevention;big Data Challenges in Retail Sector: Perspective from Data Envelopment Analysis;restoration of Ancient Kannada Handwritten Palm Leaf Manuscripts Using Image Enhancement Techniques.
CPU scheduling is a critical aspect of an operating system design as it dictates how processes are prioritized for execution. In a uniprocessor, only a single process at a time can be executed simultaneously. the CPU ...
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In recent years, technological advancements have led to significant changes across various industries, including marketing. the need to adapt to digital trends has become imperative for marketers. While this may seem ...
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the importance of information security, especially in network environments, has increased as a result of the expanding volume of data stored in computer systems. the categorization of data instances into two classes u...
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Machine learning is developing swiftly as an everexpanding field. the development of the same is occurring rapidly and has made many theoretical breakthroughs in recent times. Due to its importance as a part of machin...
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the proceedings contain 35 papers. the special focus in this conference is on Advances in Distributed Computing and Machine Learning. the topics include: Computer-Aided Bundle Branch Block Detection Using Symbolic Fea...
ISBN:
(纸本)9789819718405
the proceedings contain 35 papers. the special focus in this conference is on Advances in Distributed Computing and Machine Learning. the topics include: Computer-Aided Bundle Branch Block Detection Using Symbolic Features of ECG Signal;block-Chain and Cloud-Based Tender Allocation System;reliability Assessment of IoT-Enabled Systems Using Fault Trees and Bayesian Networks;resnet-50 Integrated with Attention Mechanism for Remote Sensing Classification;revolutionizing Data Annotation with Convergence of Deep Learning and Active Learning to Enhance Credibility on Twitter Datasets;statistical and Deep-Learning Approaches for Individual Carbon Footprint Calculation in India;intelligent Healthcare System Using Emerging Technologies: A Comprehensive Survey;Efficient Energy Management by Using SJF Scheduling in Wireless Sensor Network;cost Effective and Energy Efficient Drip Irrigation System for IoT Enabled Smart Agriculture;facial Detection and Recognition in Drone Imagery Using FaceNet;valluvan: Processing Name Board Images to Enhance Communication for Native Tamil Speakers;Optimized VM Migration for Energy and Cost Reduction Using TSO Algorithm in Cloud Computing;A Study on the Mental Health Among Indian Population in the Post COVID-19 Pandemic Using Computational Intelligence;Cloud-Based Anomaly Detection for Broken Rail Track Using LSTM Autoencoders and Cross-modal Audio Analysis;Face Recognition Using CNN for Monitoring and Surveillance of Neurological Disorder Patients;a Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-colour Space Feature Fusion and Quantum–Classical Stack Ensemble Method;comparative Analysis of Deep Learning-Based Hybrid algorithms for Liver Disease Prediction;preface;performance Improvements of Covert Timing Channel Detection in the Era of Artificial Intelligence;sign Detection Using an N-Gram Language Model and MobileNet.
the proceedings contain 35 papers. the special focus in this conference is on Advances in Distributed Computing and Machine Learning. the topics include: Computer-Aided Bundle Branch Block Detection Using Symbolic Fea...
ISBN:
(纸本)9789819735228
the proceedings contain 35 papers. the special focus in this conference is on Advances in Distributed Computing and Machine Learning. the topics include: Computer-Aided Bundle Branch Block Detection Using Symbolic Features of ECG Signal;block-Chain and Cloud-Based Tender Allocation System;reliability Assessment of IoT-Enabled Systems Using Fault Trees and Bayesian Networks;resnet-50 Integrated with Attention Mechanism for Remote Sensing Classification;revolutionizing Data Annotation with Convergence of Deep Learning and Active Learning to Enhance Credibility on Twitter Datasets;statistical and Deep-Learning Approaches for Individual Carbon Footprint Calculation in India;intelligent Healthcare System Using Emerging Technologies: A Comprehensive Survey;Efficient Energy Management by Using SJF Scheduling in Wireless Sensor Network;cost Effective and Energy Efficient Drip Irrigation System for IoT Enabled Smart Agriculture;facial Detection and Recognition in Drone Imagery Using FaceNet;valluvan: Processing Name Board Images to Enhance Communication for Native Tamil Speakers;Optimized VM Migration for Energy and Cost Reduction Using TSO Algorithm in Cloud Computing;A Study on the Mental Health Among Indian Population in the Post COVID-19 Pandemic Using Computational Intelligence;Cloud-Based Anomaly Detection for Broken Rail Track Using LSTM Autoencoders and Cross-modal Audio Analysis;Face Recognition Using CNN for Monitoring and Surveillance of Neurological Disorder Patients;a Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-colour Space Feature Fusion and Quantum–Classical Stack Ensemble Method;comparative Analysis of Deep Learning-Based Hybrid algorithms for Liver Disease Prediction;preface;performance Improvements of Covert Timing Channel Detection in the Era of Artificial Intelligence;sign Detection Using an N-Gram Language Model and MobileNet.
the proceedings contain 52 papers. the special focus in this conference is on Computational Intelligence in Communications and Business Analytics. the topics include: Regression Analysis for Finding Correlation on Ind...
ISBN:
(纸本)9783031488757
the proceedings contain 52 papers. the special focus in this conference is on Computational Intelligence in Communications and Business Analytics. the topics include: Regression Analysis for Finding Correlation on Indian Agricultural Data;Classification of the Chest X-ray Images of COVID-19 Patients through the Mean Structural Similarity Index;a Religious Sentiment Detector Based on Machine Learning to Provide Meaningful Analysis of Religious Texts;automated Detection of Melanoma Skin Disease Using Classification Algorithm;Identification of Cloud Types for Meteorological Satellite Images: A Character-Based CNN-LSTM Hybrid Caption Model;Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI;ANN for Diabetic Prediction by Using Chaotic Based Sine Cosine Algorithm;A Deep CNN Framework for Oral Cancer Detection Using Histopathology Dataset;AntiNuclear Antibody Pattern Classification Using CNN with Small Dataset;assessment of Slope Instability in a Hilly Terrain: A Logistic Regression and Random Forest Based Approach;classification of Offensive Tweet in Marathi Language Using Machine Learning Models;An Integrative Method for COVID-19 Patients’ Classification from Chest X-ray Using Deep Learning Network with Image Visibility Graph as Feature Extractor;identification and Multi-classification of Several Potato Plant Leave Diseases Using Deep Learning;A GUI-Based Approach to Predict Heart Disease Using Machine Learning algorithms and Flask API;Classification of Cricket Shots from Cricket Videos Using Self-attention Infused CNN-RNN (SAICNN-RNN);attention-Residual Convolutional Neural Network for Image Restoration Due to Bad Weather;Deep Learning-Based Intelligent GUI Tool For Skin Disease Diagnosis System;a Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression.
the proceedings contain 52 papers. the special focus in this conference is on Computational Intelligence in Communications and Business Analytics. the topics include: Regression Analysis for Finding Correlation on Ind...
ISBN:
(纸本)9783031488788
the proceedings contain 52 papers. the special focus in this conference is on Computational Intelligence in Communications and Business Analytics. the topics include: Regression Analysis for Finding Correlation on Indian Agricultural Data;Classification of the Chest X-ray Images of COVID-19 Patients through the Mean Structural Similarity Index;a Religious Sentiment Detector Based on Machine Learning to Provide Meaningful Analysis of Religious Texts;automated Detection of Melanoma Skin Disease Using Classification Algorithm;Identification of Cloud Types for Meteorological Satellite Images: A Character-Based CNN-LSTM Hybrid Caption Model;Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI;ANN for Diabetic Prediction by Using Chaotic Based Sine Cosine Algorithm;A Deep CNN Framework for Oral Cancer Detection Using Histopathology Dataset;AntiNuclear Antibody Pattern Classification Using CNN with Small Dataset;assessment of Slope Instability in a Hilly Terrain: A Logistic Regression and Random Forest Based Approach;classification of Offensive Tweet in Marathi Language Using Machine Learning Models;An Integrative Method for COVID-19 Patients’ Classification from Chest X-ray Using Deep Learning Network with Image Visibility Graph as Feature Extractor;identification and Multi-classification of Several Potato Plant Leave Diseases Using Deep Learning;A GUI-Based Approach to Predict Heart Disease Using Machine Learning algorithms and Flask API;Classification of Cricket Shots from Cricket Videos Using Self-attention Infused CNN-RNN (SAICNN-RNN);attention-Residual Convolutional Neural Network for Image Restoration Due to Bad Weather;Deep Learning-Based Intelligent GUI Tool For Skin Disease Diagnosis System;a Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression.
the proceedings contain 17 papers. the topics discussed include: portable implementations of work stealing;sKokkos: enabling Kokkos with transparent device selection on heterogeneous systems using OpenACC;parallelized...
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ISBN:
(纸本)9798400708893
the proceedings contain 17 papers. the topics discussed include: portable implementations of work stealing;sKokkos: enabling Kokkos with transparent device selection on heterogeneous systems using OpenACC;parallelized remapping algorithms for km-scale global weather and climate simulations with icosahedral grid system;approximate block diagonalization of symmetric matrices using quantum annealing;QUBO formulation using inequalities for problems with complex constraints;low-latency communication in RISC-V clusters;flexible systolic array platform on virtual 2-D Multi-FPGA plane;an efficient task-parallel pipeline programming framework;and task-based low-rank hybrid parallel Cholesky factorization for distributed memory environment.
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