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Multimodal Video Summarization For Crime Scene Analysis Using YOLO Based Object Detection
The Rapid Growth Of Surveillance Cameras In Public Places Has Led To The Generation Of Large Volumes Of Video Data, Making Manual Monitoring Difficult And Inefficient. Detecting Violent Activities Such As Fights, Weapon Usage, And Suspiciou...
Deep Learning-Based Eye Disease Detection
Eye Diseases Such As Diabetic Retinopathy (DR), Glaucoma, And Age-related Macular Degeneration (AMD) Remain Major Causes Of Vision Loss Globally. Early Screening Is Crucial But Limited By The Availability Of Trained Ophthalmologists. This P...
ENHANCING STOCK PRICE FORECASTING ACCURACY USING COMPOSITIONAL RNN
Predicting Stock Prices Accurately Is Essential For Making Well-informed Decisions In Erratic Financial Markets. This Paper Introduces A Compositional Deep Learning Framework For Multivariate Time-series Forecasting That Integrates Three RN...
DEEP LEARNING-BASED DETECTION OF SKILLED SIGNATURE FORGERIES
Signature Verification Plays A Critical Role In Authentication Systems Used In Banking, Legal Documentation, And Financial Transactions. However, Skilled Signature Forgeries Pose A Significant Challenge For Traditional Verification Techniqu...
A Survey on Intelligent Skin Disease Prediction Using Deep Learning And CNN–LLM Integration
Skin Diseases Are Among The Most Prevalent Medical Issues Globally, Making Timely And Accurate Diagnosis Essential For Successful Treatment.Expert Clinical Evaluation Is The Traditional Foundation Of Dermatological Diagnosis.However, This A...
LUNG TUMOR SEGMENTATION USING VISUAL GEOMETRY GROUP NETWORKS IN MRI IMAGES
Lung Cancer Is One Of The Most Life-threatening Diseases Worldwide, And Early Diagnosis Significantly Increases The Chances Of Survival. Accurate Detection And Classification Of Lung Tumors Remain Challenging Due To Variations In Tumor Size...
An Optimized Machine Learning Model For Pavement Condition Prediction
Pavement Condition Prediction Is An Essential Aspect Of Road Maintenance Planning, Ensuring The Safety, Efficiency, And Durability Of Transportation Infrastructure. Statistical Machine Learning (ML) Techniques Have Emerged As Powerful Tools...
FPGA Implementation Of Brain-Inspired Neuromorphic Computing Circuits
Brain-inspired Neuromorphic Computing Has Emerged As An Efficient Approach For Implementing Cognitive And Learning-based Systems With Low Power Consumption And High Parallelism. Unlike Conventional Computing Architectures, Neuromorphic Syst...
Artificial Neural Network-Based Approaches For Predicting Software Development
To Get Reliable Software On Time And Under Budget, You Need To Be Able To Accurately Forecast How Much Work Will Go Into Developing It. There Have Been A Number Of Software Effort Estimating Models Made In The Last Few Years, But It's Still...
A Hybrid GNN-LSTM Model For Feedback-Free Adaptive Modulation And Coding In Massive MIMO
Adaptive Modulation And Coding (AMC) Is A Key Enabler For Achieving High Spectral Efficiency And Reliability In Massive Multiple-Input Multiple-Output (MIMO) Systems. Conventional AMC Techniques, However, Rely Heavily On Explicit Channel St...
VisionAssist: A Neural Network-Based Companion For The Visually Impaired
This Study Introduces VisionAssist, A Neural Network-based Companion That Helps People Who Cannot See Well. It Uses Smart Technology To Understand The Environment And Provide Real-time Information. VisionAssist Uses Special Computer Learnin...
AQI Index Analyzer Using Machine Learning
Air Quality Index AQI Prediction Is A Critical Public Health Task That Involves Leveraging Data-driven Methods To Forecast Pollutant Concentrations And The Resulting AQI Under Dynamic Environmental And Meteorological Conditions1. This R...
Enhanced Deepfake Detection Using Preprocessed Video Frames And Convolution Neural Networks
Digital Security And Authenticity Are Being Threatened By Deepfake Technology, Which Is Powered By Sophisticated Generative Models. A Convolutional Neural Network (CNN) Model Trained On Facial Data Taken From Video Frames Is Used In This St...
AI-Based Career Path Recommendation System
In The Modern World, Students And Professionals Often Face Difficulty Identifying Suitable Career Paths Aligned With Their Academic Performance, Technical Skills, And Personal Interests. This Paper Presents An AI-Based Career Path Recommend...
Building A Real Time Phishing URL Detector
In Today’s Digital Era, Online Users Are Frequently Targeted By Deceptive Websites Designed To Steal Personal Credentials, Financial Data, And Sensitive Information. This Paper Presents Phishing Detector, An Intelligent Phishing Detection S...