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Papers tagged with "Support Vector"
A Comprehensive Study Of Machine Learning (ML) Algorithms And Performance Evaluation: Enhancing The Credit Card Fraud Detection
Credit Card Companies Must Be Able To Identify Fraudulent Credit Card Transactions So That Clients Are Not Charged For Items They Did Not Purchase. Previously, Many Machine Learning Approaches And Classifiers Were Used To Detect Fraudulent...
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...
AI-BASED PREDICTIVE MODELING FOR CLASSIFICATION OF FETAL HEALTH CONDITIONS
Fetal Health Assessment Is A Critical Component Of Prenatal Care, Directly Influencing The Safety And Outcomes Of Both Mother And Fetus During Pregnancy. Conventional Diagnostic Approaches, Which Rely Heavily On Manual Interpretation Of Car...
Enhanced Ransomware Detection Via Multi-Fragment Differential Area Analysis: Attacks, Countermeasures, And Resilience Evaluation
Crypto-ransomware Remains One Of The Most Destructive Categories Of Malware, Exploiting Strong Symmetric Encryption To Render Victim Data Inaccessible Until A Ransom Is Paid. Differential Area Analysis (DAA), Introduced By Davies Et Al., An...
DIFFERENTIALLY PRIVATE SAFE BROWSING: AES-ENCRYPTED USER DATA FOR REAL-TIME PHISHING DETECTION
With The Rise In Internet Usage, The Dangers Brought About By Malicious URLs And Phishing Websites Have Also Escalated, Thus The Need For Internet Security Becoming Paramount. Existing Solutions To Detect Malicious URL/website Include The B...
AI-Based Intelligent Multi-Disease Prediction System Using Adaptive Symptom Analysis - A Comparative Study Of Supervised Learning Algorithms For Clinical Disease Classification
The Integration Of Artificial Intelligence Into Clinical Healthcare Settings Has Gained Remarkable Momentum Over The Past Decade, Offering Unprecedented Opportunities To Augment Diagnostic Capabilities And Extend Medical Reach To Underserve...
Machine Learning Approaches For Intelligent Intrusion Detection Systems In Cloud Networks
Cloud Computing Has Become A Fundamental Platform For Storing Data And Running Applications Due To Its Scalability, Flexibility, And Cost Efficiency. However, The Rapid Growth Of Cloud Environments Has Also Increased Security Threats Such A...
Multimodal Emotion Recognition Using Visual-Text Fusion With ResNet-50 And SVM On The MELD Dataset
This Paper Presents A Multimodal Emotion Recognition Framework That Integrates Visual And Textual Modalities To Improve The Accuracy And Robustness Of Emotion Classification Systems. The Visual Modality Is Processed Using A Pre-trained ResN...
Vehicle Based Driver Drowsiness Detection By Support Vector Machines
Driver Drowsiness Remains A Major Cause Of Road Accidents. This Paper Presents A Comparative Analysis Of Indirect Driver Monitoring Systems (DMS) Using Vehicle-based Features, Direct DMS Using Driver-based Facial Behavior, And A Hybrid Appr...
Predictive Breast Cancer Modeling Using Machine Learning
Breast Cancer Is A Form Of Tumor That Develops Within Breast Tissues And Remains The Most Prevalent Cancer Among Women Globally, Ranking As One Of The Leading Causes Of Female Mortality. This Survey Examines The Evolving Landscape Of Predic...
Intelligent Farming: AI-Driven Insights And Support
Agriculture Remains A Cornerstone Of Livelihoods In Countries Like India, Yet Farmers Often Struggle With Crop Selection And Nutrient Management Due To Limited Access To Data-driven Guidance. This Paper Introduces An Intelligent Farming Fra...
Intelligent Malware Detection And Classification Using Correlation-based Feature Selection
Android Is The Most Popular Operating System For Smartphones And Small Devices With 86.6% Market Share. Its Open-source Nature Makes It More Prone To Attacks Creating A Need For Malware Analysis. Main Approaches For Detecting Malware Intent...
Wifi intrusion detection system
Wireless Networks Have Become Indispensable To Modern Communication Systems But Face Persistent And Sophisticated Security Challenges. This Paper Presents A Comprehensive Wi-Fi Intrusion Detection System (IDS) Utilizing Cutting-edge Machine...
CROP YIELD PREDICTION USING MACHINE LEARNING
In This Paper The Modern Agriculture, Optimizing Plant Growth And Productivity Relies Heavily On Understanding The Complex Interplay Between Soil Conditions And Plant Requirements Study Uses Machine Learning Algorithms To Predict Optimal Pl...
EMAIL SPAM DETECTION USING MACHINE LEARNING
In View Of The Current COVID-19 Situation, The Globe Has Shifted To Online Communication, Leading To A Notable Rise In Data Exchange Using Platforms Like Email And Social Media. Ensuring The Safety Of These Digital Exchanges Is Crucial In T...