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Papers tagged with "Fusion"
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...
Real-Time Detection Of Forest Fires Using FireNet-CNN And Explainable AI Techniques
This Study Proposes FireNet-CNN, A Lightweight And Efficient Deep Learning Model For Real-time Forest Fire Detection Using Convolutional Neural Networks (CNN) And Explainable AI (XAI) Techniques. The Model Was Trained And Evaluated On Augme...
HealMind AI: An Artificial Intelligence-Based Stress Detection And Support Platform
The Modern Mental Health Management Tools Need Something More Sensitive To The Actual Condition Of A Person, Beyond What They Are Willing To Disclose Via Their Communication With The System. The Currently Existing Solutions, Like Wysa And W...
AI-BIOSENTRY: A DECENTRALIZED IOT-BASED MULTI-MODAL SYSTEM FOR REAL-TIME RIPENESS MONITORING
Agricultural Sustainability Is Challenged By Nearly 40% Post-harvest Losses Due To Inefficient Manual And Destructive Ripeness Testing. Bio-Sentry Is An Advanced, Non-destructive Automated System Designed To Bridge This Gap Through A Multi-...
Ensemble Machine Learning For NIFTY-50 Price Forecasting And Trend Classification: A Flask-Deployed Decision Support System
Stock Market Forecasting Poses A Significant Challenge Due To The Non-linear, High-volatility Nature Of Financial Time Series. This Paper Presents An End-to-end Machine Learning Pipeline For Predicting NIFTY-50 Closing Prices And Next-day D...
Multimodal Fake News Detection Using DistilBERT And Xception Convolutional Neural Network
The Rapid Proliferation Of Misinformation Across Digital Platforms Poses A Growing Threat To Public Discourse, Democratic Processes, And Societal Trust. Traditional Fake News Detection Approaches Rely Exclusively On Textual Analysis, Failin...
EPILEPTIC SEIZURE RISK ANALYSIS USING EEG SIGNALS
Epileptic Seizure Is A Sudden Neurological Event Caused By Abnormal Electrical Activity In The Human Brain. These Events Can Significantly Disrupt Patient Safety And Quality Of Life. Early Prediction Of Such Events Is Essential For Enabling...
Hybrid Deep Learning Model For Early Fault Detection In Energy-Intensive Tablet Press Equipment: MLP–1D CNN Fusion For EMIS Applications
Fault Detection In Pharmaceutical Tablet Press Equipment Is Crucial For Ensuring Product Quality, Minimizing Downtime, And Reducing Energy Consumption In Energy-intensive Manufacturing Environments. This Study Presents A Hybrid Deep Learnin...
LUNG INFECTION SEGMENTATION AND CLASSIFICATION USING DEEP LEARNING
Lung Fibrosis Is A Chronic And Progressive Respiratory Disease Characterized By Scarring Of Lung Tissue, Leading To Reduced Lung Function And, In Severe Cases, Respiratory Failure. Early Detection Is Critical For Timely Intervention And Imp...
Safe Turn: Intelligent U-Turn Collision Avoidance System Using Arduino
Road Safety At U-turn Intersections Remains A Critical Challenge In Modern Traffic Management Systems, Primarily Due To Poor Visibility, Human Error, And Inadequate Decision Support During Vehicular Maneuvers. Conventional U-turn Designs Of...
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...
Blood Bank Management Systems At The Individual Scale: A Comprehensive Review Of Operations, Safety, Informatics, And Innovation
Blood Bank Management Systems (BBMS) At The Individual Scale Represent Critical Digital Infrastructure For Safe, Efficient Transfusion Services Within Single-facility Or Hospital-based Blood Establishments. This Comprehensive Review Synthes...
Anaesthesia Machine Control Using Raspberry Pi Pico With Battery Backup & Machine Learning
This Study Suggests A Method For Using The Raspberry Pi An Inexpensive Microprocessor, To Operate Anesthetic Machines. In Order To Precisely Provide Anesthetic Gases And Vapours To Patients During Surgical Procedures, Aesthesia Machines Are...
A smart artificial head with multimodal sensor suite
In Order To Replicate Human Perception And Interaction, Complex Sensory Capabilities Must Be Integrated Into Advanced Artificial Intelligence Systems. With The Goal Of Improving The Sensory And Cognitive Capabilities Of Robotic Systems, Thi...
CONFLICT AVOIDANCE AND LANDSLIDE UPDATE OF VEHICLES IN DEEP CURVES
The Purpose Of The Document Is To Reduce The Amount Of Accidents That Happen On Curving Roads. This Is Accomplished By Sending A Message To The Driver Through A Warning Display That Appears As A Car Approaches From The Other Side Of The Ben...