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Papers tagged with "Tm"
IOT BASED FIRE PREVENTION SYSTEM FOR ELECTRIC VEHICLE BATTERIES
Electric Vehicles Require Intelligent Monitoring To Ensure Safety, Efficiency, And Longevity. This Study Proposes An IoT-enabled Battery Monitoring And Fault Detection System Targeting Risks Like Overheating, Voltage Imbalance, And Fire Haz...
Smart Review Analysis System Using Machine Learning
The Rapid Proliferation Of Online Movie Reviews Has Created A Pressing Need For Automated Systems Capable Of Distinguishing Spoiler Content From Non-spoiler Opinions. This Paper Presents The Smart Review Analysis System (SRAS), An Intellige...
AI-Powered Hospital Operations & Intelligence Management System
Efficient Hospital Operations Require Structured Data Management And Real-time Monitoring To Support Effective Decision-making. Traditional Hospital Systems Often Suffer From Manual Processes, Fragmented Records, And Inefficient Resource Al...
Live Cryptocurrency Market Dashboard With Machine Learning-Based Price Prediction And RSI Signal Generator
Cryptocurrency Markets Are Highly Volatile And Change Rapidly, Which Makes Price Prediction And Decision- Making Difficult For Investors. This Project Presents A Live Cryptocurrency Market Dashboard That Provides Real-time Market Visualizat...
IoT-ENABLED SOLAR DRIP IRRIGATION WITH ELECTROMAGNETIC WATER TREATMENT AND AUTOMATIC CLOGGING CONTROL
This Paper Proposes IoT-enabled Solar Drip Irrigation With Electromagnetic Water Treatment And Automatic Clogging Control. Due To Mineral Precipitation And Sediments, Drip Irrigation Systems Reduce Efficiency By 50% And Also Suffer Frequent...
A Novel Dense-Swish-CNN With Bi-LSTM Framework For Image Deepfake Detection
The Rapid Advancement Of Deep Generative Models, Particularly Generative Adversarial Networks (GANs) And Diffusion-based Architectures, Has Substantially Lowered The Barrier To Producing Photorealistic Synthetic Human Faces, Collectively Re...
VIDEO CAPTIONING AND EMOTION RECOGNITION USING CNN+LSTM
With The Rapid Growth Of Digital Video Content, Particularly Across Social Media Platforms, Short And Engaging Videos Have Become Increasingly Dominant In Capturing User Attention. Video Captioning Plays A Critical Role In Addressing This T...
DRIVE: Placement Drive Rehearsal Interview Virtual Environment
This Paper Presents DRIVE, A Placement Drive Rehearsal Interview Virtual Environment Designed To Simulate Real Campus Recruitment Processes. The System Enables Students To Practice Complete Placement Workflows By Integrating Aptitude Tests,...
Impact Of Social Media On Investor Behaviour In The Share Market In Ramanathapuram District
The Rapid Growth Of Digital Technology Has Transformed The Way Individuals Participate In The Share Market. Social Media Platforms, Including YouTube, Twitter, And Telegram, Have Emerged As Important Sources Of Financial Information And Inv...
Dynamic Modeling Of Parkinsonian Gait Using Latent Biomarkers
Parkinson's Disease (PD) Affects Gait Dynamics, And Hence, Objective Analysis Is Required For Accurate Diagnosis. In This Regard, This Manuscript Proposes A Deep Learning Framework For Modeling Parkinsonian Gait Using Vertical Ground Reacti...
SALESFORCE-BASED AI HEALTH SUPPORT FOR CUSTOMER RELATIONSHIP MANAGEMENT(CRM) USING NLP AND PREDICTIVE ANALYTICS
Healthcare Smart Support Is An Artificial Intelligence (AI)–based Healthcare Support Management System Developed Using The Salesforce Customer Relationship Management (CRM) Platform And A Python-based Natural Language Processing (NLP) Engin...
Atmospheric Scattering And Segmentation Based Foggy Image Enhancement
We Propose A Novel Foggy Image Enhancement Pipeline That Integrates An Improved Atmospheric Scattering Model (ASM) With Otsu-based Segmentation. The System First Converts The RGB Input To Grayscale, Then Applies Otsu’s Method To Segment Fog...
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...
An Intelligent Hybrid GCN-LSTM Model For Energy Stock Price Forecasting With Temporal Dynamics And Inter-Stock Correlation
Energy Sector Stock Price Prediction Is A Critical Yet Challenging Task In Financial Forecasting, Characterized By High Volatility, Non-linearity, And Complex Interdependencies Driven By Geopolitical Events, Regulatory Shifts, And Commodity...
Touchless ATM Authentication System Using Haar Cascade, LBPH And MediaPipe
Automated Teller Machines (ATMs) Are Among The Most Common Banking Tools. They Mostly Rely On Physical Interaction Through Keypads And Touchscreens. This Can Raise Hygiene Concerns And Create Security Risks Like Shoulder Surfing And Keypad...