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Papers tagged with "Tic"
Design And Implementation Of An Automated Load Sharing System For Electrical Distribution Transformers Using ESP8266 And Cloud Infrastructure
This Paper Introduces An Automated, Internet Of Things (IoT)-enabled Load-sharing Framework Designed To Optimize Power Distribution And Protect Distribution Transformers From Operational Degradation Caused By Overloading. Conventional Elect...
Physical Violence Detection Using Key Framing
The Physical Violence Detection Using Key Framing App Is An AI-based Android Application Designed To Detect Violent Activities From Video Footage Using Intelligent Frame Analysis. The System Focuses On Identifying Suspicious Physical Action...
Cloud Cost Optimizer: An Intelligent Multi-Cloud Cost Management System
Cloud Computing Offers Flexible And Scalable Re-sources, But Uncontrolled Consumption Often Leads To Escalating Costs. Organizations Frequently Face Unexpected Cloud Bills Due To Forgotten Development Instances, Oversized VM Types, Unattach...
Intelligent Learning Outcome Prediction Using Machine Learning Techniques
Student Performance Prediction Is An Important Application Of Educational Data Mining That Helps Institutions Identify Students Who May Require Academic Support At An Early Stage. This Study Proposes A Classification-based Approach To Predi...
ADVANCING SPEECH EMOTION RECOGNITION VIA SEMANTIC AND PARALINGUISTIC FEATURE FUSION
Speech Emotion Recognition Is An Essential Component For Applications Like Education And Human-computer Interaction [1]. While Deep Neural Networks (DNNs) Have Advanced The Field, Many Studies Ignore The Semantic Information Present Within...
Speech Stress Detection In Marathi And SUSAS Databases Using Weight-Optimized Neural Networks
Stress Profoundly Alters Human Cognitive And Physiological States, Making Early And Automated Detection A Critical Technological Goal [1]. This Study Presents A Streamlined Speech Emotion Recognition (SER) System Engineered For Accurate Str...
Hybrid Machine Learning Model For Multi-Diseases Diagnosis
Co-occurring Chronic Conditions And Complex Multi-disease Pathologies Represent An Escalating Global Public Health And Socioeconomic Crisis. In Rapidly Growing Urban Patient Populations, Overlaps Between Metabolic, Cardiovascular, And Neuro...
BIKE PRICE PREDICTION SYSTEM USING MACHINE LEARNING
The Valuation Of Used Consumer Assets, Particularly Pre-owned Two-wheeled Vehicles, Remains A Major Secondary-market And Socioeconomic Challenge. In Rapidly Developing Urban Transport Ecosystems, Frequent Fluctuations In Marketplace Deman...
COMPARATIVE ANALYSIS OF MACHINE LEARNING MODELS OF DIABETES PREDICTION
The Diabetes Mellitus Is One Of The Fastest-growing Chronic Health Conditions Globally, Affecting Hundreds Of Millions Of Individuals And Imposing Significant Burdens On Healthcare Systems Worldwide. Early Identification Of At-risk Indiv...
AI-Powered Diagnosis Of Vision-Threatening Ocular Conditions Using Clinical Data Analytics
Vision-threatening Ocular Diseases Such As Diabetic Retinopathy, Glaucoma, Cataract, Age-related Macular Degeneration (AMD), Hypertensive Retinopathy And Pathological Myopia Are Leading Causes Of Preventable Blindness Worldwide. Conventiona...
A Skin-Type Adaptive Ingredient Scoring Framework For Comparative Evaluation Of Cosmetic Products
The Need For Cosmetic Products Has Gone Up, So There's More Focus On Being Clear About What's In Them And Making Sure They're Safe. Many Products Say They Work For Different Skin Types, But People Usually Choose Them Based On Brand And Ads...
Hybrid Graph Attention And Temporal Deep Learning Framework For Early Prediction Of Cervical Cancer Risk
Cervical Cancer Remains One Of The Leading Causes Of Cancer-related Deaths Among Women Worldwide. Early Identification Of High-risk Individuals Is Essential For Timely Intervention And Improved Survival Rates. Traditional Machine Learning A...
AI-Enhanced Centralized Knowledge Sharing Platform For College Students
For New Batches Of Students Who Are Often Con-fused With Their Respective Admissions And Placements, Existing Digital Platforms Do Not Always Relate To Relevance And Often Appear Vague. Legacy Campus Search Engines Are Built On Simple Keywo...
AI-POWERED INTELLIGENT FRAMEWORK FOR DETECTION AND PREVENTION OF CYBERSECURITY ATTACKS USING MACHINE LEARNING ALGORITHMS
This Paper Proposes An AI-powered Cybersecurity Framework Integrating Machine Learning, Deep Neural Networks, Real-time Network Monitoring, Automated Alerting, And Dashboard-driven Response For Enterprise Threat Detection And Prevention. Th...
A STUDY ON LOGISTICS AND SUPPLY CHAIN MANAGEMENT
This Research Investigates Logistics And Supply Chain Management Practices Within A Technology Manufacturing Organization And Assesses Their Influence On Operational Efficiency And Customer Satisfaction Outcomes. Effective Supply Chain Oper...