This paper presents a scientometric analysis of the research landscapes, hotspots, and emerging frontiers of combinatorial optimization algorithms on graphs from 1987 to 2022. The study investigates technical maturity...
详细信息
ISBN:
(纸本)9798350330076
This paper presents a scientometric analysis of the research landscapes, hotspots, and emerging frontiers of combinatorial optimization algorithms on graphs from 1987 to 2022. The study investigates technical maturity, country/region collaboration, institutional cooperation, journal co-citation, dual graph overlay, and hotspot frontier analysis based on co-citation and keyword co-occurrence using tools like CiteSpace, Bibliometrics R, and VOSviewer. The analysis reveals that research in this field has entered a mature stage, and countries such as the United States, China, and Japan have produced rich output in this field. The University of Tokyo, MIT, the Chinese Academy of Sciences, Shanghai Jiao Tong University, Stanford University, and the University of California have formed 10 distinct collaborative clusters. The findings also suggest that research in the field of combination optimization mainly comes from two clusters, namely, computer science and mathematics, and that cross-disciplinary knowledge is also involved. In the field of graph-based combination optimization, deep learning, machinelearning, graph neural networks, and reinforcement learning are now areas of intense investigation. The frontier direction of research in this field is represented by quantum computing technologies such as coherent ising machines, hybrid quantum-classical algorithms, and quantum algorithms. The research problems in this field are categorized into three main types from a keyword perspective: graph theory problems, classical optimization problems, and open problems. The corresponding methods for solving these problems are also categorized into combinatorial optimization techniques, stochastic optimization methods, and machinelearning-based optimization methods. The study highlights the need for interdisciplinary collaboration, more research on quantum computing technologies, advanced optimization techniques, and the exploration of emerging research frontiers in combination o
The proceedings contain 43 papers. The special focus in this conference is on Computer Vision, High Performance computing, Smart Devices, and Networks. The topics include: machinelearning-Based Path Loss Estimation M...
ISBN:
(纸本)9789819966899
The proceedings contain 43 papers. The special focus in this conference is on Computer Vision, High Performance computing, Smart Devices, and Networks. The topics include: machinelearning-Based Path Loss Estimation Model for a 2.4 GHz ZigBee Network;Comparative Analysis of CNN Models with Vision Transformer on Lung Infection Classification;classification of Alzheimer’s Disease Using Stacking-Based Ensemble and Transfer learning;heart Device for Expectation of Coronary Illness Utilizing Internet of Things;Parallel Programming in the Hybrid Model on the HPC Clusters;an Extensive Study of Frequent Mining algorithms for Colossal Patterns;a Review Paper on Progressive Approach to Reduce Context Switching in Round Robin Scheduling Algorithm;Syn Flood DDoS Attack Detection with Different Multilayer Perceptron Optimization Techniques Using Uncorrelated Feature Subsets Selected by Different Correlation Methods;Ensemble Model Detection of COVID-19 from Chest X-Ray Images;Evolutionary, Protein–Protein Interaction (PPI), and Domain–Domain Analyses in Huntington’s Disease;Transfer learning-Based Effective Facial Emotion Recognition Using Contrast Limited Adaptive Histogram Equalization (CLAHE);transformer Model for Human Activity Recognition Using IoT Wearables;design and Development of a Chatbot for Personalized learning in Higher Education;performance Evaluation of Concentric Hexagonal Array for Smart Antenna Applications;a Comprehensive Study on Bridge Detection and Extraction Techniques;vegetation Change Detection of Multispectral Satellite Images Using Remote Sensing;performance Evaluation of Neural Networks-Based Virtual machine Placement Algorithm for Server Consolidation in Cloud Data Centres;low-Resource Indic Languages Translation Using Multilingual Approaches;DCC: A Cascade-Based Approach to Detect Communities in Social Networks;an Improved Way to Implement Round Robin Scheduling Algorithm.
The proceedings contain 40 papers. The special focus in this conference is on Smart computing Technologies. The topics include: An Interactive Voicebot for Visually Challenged: Empowering the Realm Among Deaf-Mute and...
ISBN:
(纸本)9789819924677
The proceedings contain 40 papers. The special focus in this conference is on Smart computing Technologies. The topics include: An Interactive Voicebot for Visually Challenged: Empowering the Realm Among Deaf-Mute and Normal Community;Behavior Intrusion Detection System Using SVM and CNN;classifying Wear Particles Based on Texture Analysis;intelligent Systems in Production Planning for an Assemble-to-Order Production System;an Efficient Iterative Methods for Solving Transcendental Equations;behavioural Intention to Adopt Mobile Banking by Millennials: Empirical Evidence from India;Application of the Platforms for IP Network Modeling to Characterize the Traffic in a VoIP Network;Steel Surface Defect Detection and Classification Using Bag of Visual Words with BRISK;a Survey of Cryptographic algorithms for Encryption and Key Transmission;a Convolution Neural Network Model to Classify Handwritten Digits from Skeletons;forecasting the Concentration of Initial Substances and Products in the Oil Refining Process;a Sustainable Approach to Marketable Banking Stress and Burnout;heart Disease Prediction—A Computational machinelearning Model Perspective;drought Prediction—A Comparative Analysis of Supervised machinelearning Techniques;using Supervised Ensemble machinelearning Algorithm in the Recruitment Process;faulty Process Detection Using machinelearning Techniques;x-Tract: Framework for Flexible Extraction of Features in Chest Radiographs for Disease Diagnosis Using machinelearning;a Model for Classification Based on the K-Means Method Using the Gap-Statistic Algorithm;classification-Based Fractal Image Compression with Efficient Domain Pool Design;DynaSim: A Ball-by-Ball Simulation of the Dynamics of an IPL T20 Game;a Wavelet Thresholding-Based Approach for Denoising the Color Image Affected by Gaussian Noise;real-Time Flood Prediction System Using machinelearningalgorithms.
The proceedings contain 85 papers. The special focus in this conference is on Emerging Research in computing, Information, Communication and Applications. The topics include: Gesture Detection Using Accelerometer and ...
ISBN:
(纸本)9789811954818
The proceedings contain 85 papers. The special focus in this conference is on Emerging Research in computing, Information, Communication and Applications. The topics include: Gesture Detection Using Accelerometer and Gyroscope;preface;Teaching learning-Based Optimization with learning Enthusiasm Mechanism for Optimal Control of PV Inverters in Utility Grids for Techno-Economic Goals;to Monitor Yoga Posture Without Intervention of Human Expert Using 3D Kinematic Pose Estimation Model—A Bottom-Up Approach;Upshot and Disparity of AI Allied Approaches Over Customary Techniques of Assessment on Chess—An Observation;network Intrusion Detection Using Neural Network Techniques;performing Cryptanalysis on the Secure Way of Communication Using Purple Cipher machine;artificial Intelligence and machinelearning for Foundry Industry—A Case Study of Belagavi Foundry Industry;conversion of Sign Language to Text Using machinelearning;a Hexagonal Sierpinski Fractal Antenna for Multiband Wireless Applications;Multi-level Hierarchical Information-Driven Risk-Sensitive Routing Protocol for Mobile-WSN: MHIR-SRmW;Target Classification Using CNN-LSTM Network with Reduced Sample Size in Surveillance Radar;machinelearning Framework for Prediction of Parkinson’s Disease in Cloud Environment;iron Oxide Nanoparticle Image Analysis Using machinelearningalgorithms;bankruptcy Prediction Using Bi-Level Classification Technique;Infant Brain MRI Segmentation Using Deep Volumetric U-Net with Gamma Transformation;analysis of Deep learning Architecture-Based Classifier for the Cervical Cancer Classification;covid Vaccine Adverse Side-Effects Prediction with Sequence-to-Sequence Model;Comparison Between ResNet 16 and Inception V4 Network for COVID-19 Prediction;Computational Deep learning Models for Detection of COVID-19 Using Chest X-Ray Images;an Ensemble Approach for Detecting Malaria Using Classification algorithms;ioT-Enabled Intelligent Home Using Google Assistant.
The outbreak of COVID-19 has forced countries to lock borders to prevent the spread of infection. It broadly affects numerous industries and economies globally termed 'Coronanomics.' Subsequently, many corpora...
详细信息
The proceedings contain 51 papers. The special focus in this conference is on Advances in Information Communication Technology and computing. The topics include: Internet of Things and Retail Performance in an Emergin...
ISBN:
(纸本)9789811998874
The proceedings contain 51 papers. The special focus in this conference is on Advances in Information Communication Technology and computing. The topics include: Internet of Things and Retail Performance in an Emerging Market: A Qualitative Analysis;the Impact of Social Media on Consumer Purchase Behaviour;the Contribution of the Internet of Things to Enhance the Brands of Small and Medium-Sized Enterprises in Iraq;trust Chain for Managing Trust in Blockchain-Associated IoT-Enabled Supply-Chains;supply Chain Management Using Blockchain Security Enhancement;a Novel Image Encryption Algorithm Using Logistic and Henon Map;an Analysis of Data Sparsity Resolution algorithms Used in Recommender Systems;recent Trends for Practicing machinelearning in Brain Tumors: A Survey;voice-Based Intelligent Virtual Assistant;The Impact of IT Capabilities on Competitive Advantage;Identification of Autism Spectrum Disorder from Functional MRI Using Deep learning;conversion of Sign Language to Text and Audio Using Deep learning Techniques;security Attacks and Key Challenges in Blockchain Technology: A Survey;advancing from Manual to Automatic Telecast of News for Deaf;study of Nutrition-Based Recommender System for Diabetes and Cardiovascular Patients Based on Various machinelearning Techniques: A Systematic Review;comparing Fish Finding Techniques using Satellite and Indigenous Data based on Different machinelearningalgorithms;implementation of E-Governance Framework for Rural Areas of India;opinion Summarization from Online Mobile Phone Reviews Using Feature Based Association Rule Mining;unconventional to Automated Attendance Marking Using Image Processing;synthetic Animations Based Dictionary for Indian Sign Language;start of Telemedicine in Uzbekistan. Technological Availability;review of Feature Extraction Techniques for Fake News Detection.
In this modern era of extensive use of online resources there has been reports of numerous cases of cyberbullying. Although awareness through medical health support systems such as counselling and psychological assist...
详细信息
ISBN:
(纸本)9781665426787
In this modern era of extensive use of online resources there has been reports of numerous cases of cyberbullying. Although awareness through medical health support systems such as counselling and psychological assistance is available, a system to combat threats is needed to handle the increasing rate of cyber bullying. This paper presents a model that can be used to detect and report cyberbullying with the use of machinelearning techniques. A careful selection of the machinelearningalgorithms has been identified that could enable better accurate detection. The model was transformed into a prototype in python to evaluate the effectiveness of the model in detecting cyber bullying. The proposed model primarily focusses on test based and image-based threats as they are more common than other forms of cyber bullying.
Recognizing human behavior has been shown to be helpful in a variety of fields, including human-machine interaction, creating smart devices with unique properties, and comprehending human nature. One of the intelligen...
详细信息
Gut microbiome has become increasingly a rich resource of information for detecting different diseases, such as diabetes and various forms of cancer. Using gut microbiome for Cardiovascular Disease detection represent...
详细信息
ISBN:
(数字)9781665484879
ISBN:
(纸本)9781665484879
Gut microbiome has become increasingly a rich resource of information for detecting different diseases, such as diabetes and various forms of cancer. Using gut microbiome for Cardiovascular Disease detection represents a potential opportunity that offers a hope of a cheaper, non-invasive, yet reliable screening method. In this paper, we utilize supervised machinelearning to build predictive models trained on sets of informative biomarkers drawn from the microbial composition of fecal samples. The predictive model is used to identify patients having an Atherosclerotic Cardiovascular Disease based on fecal samples. Extensive experiments are conducted using ten different machinelearningalgorithms and four feature selection/engineering settings to evaluate our proposed methodology. Furthermore, we highlight a set of informative microbes (i.e. biomarkers) in the gut microbiome for Cardiovascular Disease screening. Our best predictive model achieves an Area under the curve (AUC) score of 0.926 when Bayes Net is used as the machinelearning algorithm and Correlation-based feature selection method is used for feature selection.
Sentiment analysis is one of the core fields of Natural Language Processing(NLP). Numerous machinelearning and deep learningalgorithms have been developed to achieve this task. Generally, deep learning models perfor...
详细信息
暂无评论