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Papers tagged with "Imo"
Runtime And Security Evaluation Of Lightweight Biometric Models For Edge Based Access Control
This Study Presents A Runtime And Security Evaluation Of Lightweight Biometric Models For Edge-based Access Control. The Work Evaluates MobileNetV2 For Face Recognition And EfficientNetB0 For Fingerprint Recognition Within An Edge-aware Acc...
Explainable AI (XAI) Multimodal Artificial Intelligence For Ayurvedic Prakriti Assessment Using Questionnaire, Tongue Images, And Facial Features
Ayurveda Classifies People Into Vata, Pitta, And Kapha Types. This Is Called Prakriti. Manual Assessment Relies On Physician Judgment. It Can Be Subjective And Hard To Repeat. This Paper Proposes A Multimodal AI System. It Uses Questionnair...
A Review On Machine Learning Enabled MIMO Systems For Capacity Enhancement In Wireless Networks
Due To Increasing Number Of Users And Multimedia Applications, Multiple Input, Multiple Output (MIMO) Systems Have Become Indispensable From Wireless Technology. The Benefit Of MIMO Systems Is Increase In The Channel Capacity At Low Bandwid...
Forensic Detection Of Toxic Chatbots, Deepfakes, And Automated Harmful Interactions: A State-of-the-Art Review
The Rapid Expansion Of Generative AI (GenAI) Technologies Has Enabled Unprecedented Synthesised Media And Sophisticated Automated Systems. The Existence Of Advanced Deepfake Technology, Generative Large Language Models (LLMs) That Can Produ...
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...
Deep Fake Detection And Authenticity Verification
Deepfake Technology Threatens Information Integrity By Enabling The Creation Of Highly Realistic Synthetic Media That Can Mislead Viewers, Manipulate Public Opinion, And Compromise Biometric Authentication Systems. Existing Detection Models...
Design And Implementation Of Deep Learning Based MIMO Systems For Wireless Networks
Present Day Communication Systems Are Facing Some Critical Issues Which Are Increased Number Of Users, The Amount Of Bandwidth Availability To Be Used By The Users And The Need For Ever Increasing Data Rates. The Major Concern Regarding All...
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...
LLM-Based Medical AI Chatbot Using LLaMA For Healthcare Assistance
Access To Quality Healthcare Remains A Critical Global Challenge. Approximately 3.5 Billion People Lack Access To Basic Healthcare Services. This Paper Presents The Design And Development Of A Full-stack Document Intelligence Application Po...
Assessment Of Fire-Induced Structural Behavior In A Single Bay Frame Using Multiple Codes
Fire Hazards Pose A Significant Threat To Structures In India, Often Leading To Severe Damage And, In Some Cases, Structural Collapse Due To Elevated Temperatures. This Study Primarily Focuses On The Behavior Of Structural Members, Particul...
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...
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...
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...
DEEP LEARNING MODEL FOR SCALP DISEASE PREDICTION FROM MULTIMODAL FRAMEWORK
Scalp Disorders Such As Dandruff, Folliculitis, And Alopecia Are Prevalent Conditions Impacting Millions Worldwide. Accurate Detection Of Scalp Diseases Through Deep Learning Can Significantly Improve Diagnostic Efficiency And Treatment Out...
METAMATERIAL INSPIRED WIDE BAND MIMO ANTENNA FOR SUB-6GHZ 5G COMMUNICATIONS
The Project Of 5G Communication Systems Demands High-performance Antenna Designs That Cater To Increasing Data Rates, Enhanced Network Capacity, And Reduced Latency. In Particular, The Sub-6 GHz Spectrum, Covering Frequencies Below 6 GHz, H...