the proceedings contain 49 papers. the special focus in this conference is on Recent Innovations in Computing. the topics include: Artificial Intelligence (AI)-Powered Intelligent Systems for Disease Prognosis: A Bibl...
ISBN:
(纸本)9789819778614
the proceedings contain 49 papers. the special focus in this conference is on Recent Innovations in Computing. the topics include: Artificial Intelligence (AI)-Powered Intelligent Systems for Disease Prognosis: A Bibliometric Study;unleashing the Potential: Study on Artificial Intelligence Effect in Education Sector;AI-Powered Traffic Orchestration: Reinforcement learning at Traffic Intersections;a Novel Melanoma Diagnosing System Using Multi-directional pattern Extraction-Based Distributed Deep learning Model;a Review of Artificial Intelligence and machinelearning for Vaccine Research;machinelearning Techniques for Detection and Classification of Crop (Solanum lycopersicum) Plant Diseases Due to Pests: A Review;fake News Detection Using machinelearning Classification Algorithms;Deep learning Model-Based Approach for DDoS Detection and Classification;data Analysis on Dynamic Flow Characteristics of Variable Delivery Hydraulic Axial Piston Pump;exploring Explainable machinelearning in Healthcare: Closing the Predictive Accuracy and Clinical Interpretability Gap;An Enhanced Neural Network Collaborative Filtering (ENNCF) for Personalized Recommender System;diagnosis of Behavioural Disorders Using Swarm Intelligent Metaheuristic Techniques;leveraging datamining Optimization for Enhancing Safety Management in Public Security Prevention and Control Application;forecasting Criminal Activity: An Empirical Approach for Crime Rate Prediction;early Detection of Crypto-Ransomware Pre-encryption Phases: A Review;are We Ready to Investigate Robots? Issues and Challenges Involved in Robotic Forensics;unmasking the Vulnerabilities: A Deep Dive into the Security threat Landscape of Humanoid Robots;review of Cyber-Physical System-Based Security datasets for learning-Based Intrusion Detection Systems;survey and Analysis of Intrusion Detection Frameworks for Cyber-Physical Systems: A Comprehensive Study;enhancing IoT Security through Deep learning: A Comprehensive Study.
machinelearning is a technique through which computer learns by using the data provided from the user and getting experience from it and then using that experience to predict new things on its own. machinelearning h...
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the proceedings contain 49 papers. the special focus in this conference is on Recent Innovations in Computing. the topics include: Artificial Intelligence (AI)-Powered Intelligent Systems for Disease Prognosis: A Bibl...
ISBN:
(纸本)9789819734412
the proceedings contain 49 papers. the special focus in this conference is on Recent Innovations in Computing. the topics include: Artificial Intelligence (AI)-Powered Intelligent Systems for Disease Prognosis: A Bibliometric Study;unleashing the Potential: Study on Artificial Intelligence Effect in Education Sector;AI-Powered Traffic Orchestration: Reinforcement learning at Traffic Intersections;a Novel Melanoma Diagnosing System Using Multi-directional pattern Extraction-Based Distributed Deep learning Model;a Review of Artificial Intelligence and machinelearning for Vaccine Research;machinelearning Techniques for Detection and Classification of Crop (Solanum lycopersicum) Plant Diseases Due to Pests: A Review;fake News Detection Using machinelearning Classification Algorithms;Deep learning Model-Based Approach for DDoS Detection and Classification;data Analysis on Dynamic Flow Characteristics of Variable Delivery Hydraulic Axial Piston Pump;exploring Explainable machinelearning in Healthcare: Closing the Predictive Accuracy and Clinical Interpretability Gap;An Enhanced Neural Network Collaborative Filtering (ENNCF) for Personalized Recommender System;diagnosis of Behavioural Disorders Using Swarm Intelligent Metaheuristic Techniques;leveraging datamining Optimization for Enhancing Safety Management in Public Security Prevention and Control Application;forecasting Criminal Activity: An Empirical Approach for Crime Rate Prediction;early Detection of Crypto-Ransomware Pre-encryption Phases: A Review;are We Ready to Investigate Robots? Issues and Challenges Involved in Robotic Forensics;unmasking the Vulnerabilities: A Deep Dive into the Security threat Landscape of Humanoid Robots;review of Cyber-Physical System-Based Security datasets for learning-Based Intrusion Detection Systems;survey and Analysis of Intrusion Detection Frameworks for Cyber-Physical Systems: A Comprehensive Study;enhancing IoT Security through Deep learning: A Comprehensive Study.
the proceedings contain 49 papers. the special focus in this conference is on Recent Innovations in Computing. the topics include: Artificial Intelligence (AI)-Powered Intelligent Systems for Disease Prognosis: A Bibl...
ISBN:
(纸本)9789819728381
the proceedings contain 49 papers. the special focus in this conference is on Recent Innovations in Computing. the topics include: Artificial Intelligence (AI)-Powered Intelligent Systems for Disease Prognosis: A Bibliometric Study;unleashing the Potential: Study on Artificial Intelligence Effect in Education Sector;AI-Powered Traffic Orchestration: Reinforcement learning at Traffic Intersections;a Novel Melanoma Diagnosing System Using Multi-directional pattern Extraction-Based Distributed Deep learning Model;a Review of Artificial Intelligence and machinelearning for Vaccine Research;machinelearning Techniques for Detection and Classification of Crop (Solanum lycopersicum) Plant Diseases Due to Pests: A Review;fake News Detection Using machinelearning Classification Algorithms;Deep learning Model-Based Approach for DDoS Detection and Classification;data Analysis on Dynamic Flow Characteristics of Variable Delivery Hydraulic Axial Piston Pump;exploring Explainable machinelearning in Healthcare: Closing the Predictive Accuracy and Clinical Interpretability Gap;An Enhanced Neural Network Collaborative Filtering (ENNCF) for Personalized Recommender System;diagnosis of Behavioural Disorders Using Swarm Intelligent Metaheuristic Techniques;leveraging datamining Optimization for Enhancing Safety Management in Public Security Prevention and Control Application;forecasting Criminal Activity: An Empirical Approach for Crime Rate Prediction;early Detection of Crypto-Ransomware Pre-encryption Phases: A Review;are We Ready to Investigate Robots? Issues and Challenges Involved in Robotic Forensics;unmasking the Vulnerabilities: A Deep Dive into the Security threat Landscape of Humanoid Robots;review of Cyber-Physical System-Based Security datasets for learning-Based Intrusion Detection Systems;survey and Analysis of Intrusion Detection Frameworks for Cyber-Physical Systems: A Comprehensive Study;enhancing IoT Security through Deep learning: A Comprehensive Study.
Text categorization is a task for text miningthat involves pattern classification and is essential for the effective management of textual information systems (TIS). Each document is automatically assigned one or mor...
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Counterfeit poses a serious threat to financial institutions and the global economy. this work introduces machinelearning techniques that use image processing, patternrecognition, and classification algorithms to ac...
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this research studies the viability of small samples of basic student demographical information as training data for machinelearning models to perform multiclass classification of the specializations/majors of studen...
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Withthe development of deep learning, the classification and recognition of wasps has become one of the hot issues in research. the paper based on the text and images in the provided data set. Firstly, input the imag...
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this chapter uses machinelearning algorithms to build health status prediction models by analyzing multidimensional health behavior data such as exercise frequency, type, sleep duration, and water intake. We collecte...
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the proceedings contain 18 papers. the special focus in this conference is on machinelearning for Networking. the topics include: Attentive, Permutation Invariant, One-Shot Node-Conditioned Graph Generation for60;...
ISBN:
(纸本)9783031599323
the proceedings contain 18 papers. the special focus in this conference is on machinelearning for Networking. the topics include: Attentive, Permutation Invariant, One-Shot Node-Conditioned Graph Generation for Wireless Networks Topology Optimization;enhancing Social Media Profile Authenticity Detection: A Bio-Inspired Algorithm Approach;a Deep learning Based Automatic Outdoor Home Video Surveillance Approach;detecting Abnormal Authentication Delays In Identity And Access Management Using machinelearning;SIP-DDoS: SIP Framework for DDoS Intrusion Detection Based on Recurrent Neural Networks;deep Reinforcement learning for Multiobjective Scheduling in Industry 5.0 Reconfigurable Manufacturing Systems;Toward A Digital Twin IoT for the Validation of AI Algorithms in Smart-City Applications;data Summarization for Federated learning;ML Comparison: Countermeasure Prediction Using Radio Internal Metrics for BLE Radio;towards Road Profiling with Cooperative Intelligent Transport Systems;Study of Masquerade Attack in VANETs withmachinelearning;detecting Virtual Harassment in Social Media Using machinelearning;Leverage data Security Policies Complexity for Users: An End-to-End Storage Service Management in the Cloud Based on ABAC Attributes;machinelearning to Model the Risk of Alteration of Historical Buildings;a Novel Image Encryption Technique Using Modified Grain-128;transformation Network Model for Ear recognition.
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