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Papers tagged with "Cnn"
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...
Fruits Freshness Detection Quality And Nutritional Analysis Using Machine Learning
In The Context Of The Food Processing Industry In The Present Day, It Is Evident That The Freshness And Quality Of Fruits Play A Major Role In Maintaining The Health And Wellness Of Consumers, Reducing Food Product Waste, And Maximizing The...
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...
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...
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...
A Survey On Machine Learning And Deep Learning Approaches For Credit Card Fraud Detection
Digital Payment Systems Have Become A Vital Part Of Daily Life, With Credit Cards Being Widely Used For Both Online And Offline Transctions.Banks, Retailers, And Clients Have All Experienced Large Financial Losses Because Of The Sharp Incre...
AI Powered Content Moderation And Alert System
Social Media Platforms Such As Twitter (now X) Have Become Primary Channels For Real-time Information Exchange, En- Abling Rapid Dissemination Of News, Opinions, And Public Discourse. However, This Rapid Growth Has Also Led To A Significant...
CRIMINAL FACE RECOGNITION SYSTEM USING ARTIFICIAL INTELLIGENCE
This Project, Titled "Criminal Face Recognition System Using AI", Proposes An Intelligent System Designed To Identify And Track Individuals With Criminal Records Through Realtime Facial Recognition, Thereby Aiding Law Enforcement Agencies I...
Hybrid Deep Learning Framework for Intelligent Antenna Design Optimization Using CNN–LSTM with Physics-Informed Learning
Modern Wireless Communication Systems Demand Antennas With High Gain, Wide Bandwidth, And Low Return Loss While Maintaining Compact Size And Reduced Development Time. Conventional Electromagnetic Simulation–based Antenna Design Techniques,...
Sign Language Recognition: A Comprehensive Review Of Methods, Datasets, And Challenges
Sign Language Recognition (SLR) Is An Active Research Area That Involves The Automatic Translation Of Sign Languages Into Text Or Speech Using Computational Techniques, Thereby Facilitating Communication For Deaf And Hard-of-hearing Individ...
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...
Handwritten Digit Recognition Using Convolutional Neural Networks (CNN) On The MNIST Dataset
Handwritten Digit Recognition Is Crucial In Various Automated Tasks Like Financial Verification, Postal Sorting, And Digital Form Processing, Where Correctly Understanding Handwritten Numbers Is Key. This Study Looks At How Well Convolution...
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...
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...
AI Powered Smart Pavement Health Monitoring Using UAV And Deep Learning
Urban Road Networks Require Frequent Maintenance To Remain Operational, Safe, And Sustainable. As Cities Expand, The Scale Of Inspection Needed Becomes Infeasible Through Traditional Manual Survey Methods. This Paper Introduces A Smart Pave...