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Papers tagged with "Cnn"
A Privacy-Preserving Federated Learning Framework With Dual Explainability For Hybrid CNN–LSTM Based Anomaly Detection In IoT Network Traffic
Intrusion Detection Systems (IDS) For The Internet Of Things Face A Three-way Tension: Deep Models Detect Attacks Accurately But Behave As Opaque Black Boxes, Centralised Training Pipelines Require Raw Traffic To Be Exported From Every Devi...
Real-Time Speech Emotion Recognition Using Lightweight Convolutional Neural Network
Speech Emotion Recognition (SER) Allows Machines To Understand Human Emotional States From Their Speech, Enabling Applications In Human-computer Interaction, Call Center Analytics, And Mental Health Monitoring. Traditional Deep CNNs Achieve...
Design And Physical Implementation Of An INT8 Output-Stationary Systolic Array CNN Accelerator For TinyML Inference Using Open-Source SKY130 PDK And OpenLane EDA Flow
This Paper Presents The Design And Complete Physical Implementation Of A 4×4 INT8 Output-stationary Systolic Array Accelerator For TinyML Convolutional Neural Network (CNN) Inference, Targeting Edge Vision Applications Such As Image Classif...
A Sparsity-Aware Operand-Isolated Systolic Array Accelerator For Power-Efficient CNN Inference On FPGA
CNN Inference On FPGA Platforms Can Incur Substantial Dynamic Power Because Parallel Multiply-accumulate Datapaths May Continue Switching When Sparse Operands Contain Zeros. This Paper Presents A Sparsity-aware Operand-isolated Systolic Arr...
Federated Learning And Explainable Artificial Intelligence For Intrusion Detection In IoT Networks: A Review
The Rapid Enlargement Of The Internet Of Things Has Turned Billions Of Weakly Protected Devices Into An Attractive Attack Surface, And Machine-learning Intrusion Detection Has Become The Default Defensive Answer. Three Difficulties, However...
Physical Violence Detection Using Key Framing
The Physical Violence Detection Using Key Framing App Is An AI-based Android Application Designed To Detect Violent Activities From Video Footage Using Intelligent Frame Analysis. The System Focuses On Identifying Suspicious Physical Action...
TRUTHLENS: AI-POWERED DEEPFAKE DETECTION USING DEEP LEARNING AND MEDIA FEATURE ANALYSIS
The Rapid Advancement Of Artificial Intelligence Has Made It Possible To Generate Highly Convincing Manipulated Media, Commonly Referred To As Deepfakes. These Synthetic Videos And Audio Recordings Pose A Serious Threat To Information Integ...
AIML-Based Quality Assurance System For Agricultural Products Using Tensorflow
Agricultural Product Quality Assessment Plays A Critical Role In The Global Food Supply Chain, Directly Impacting Market Pricing, Consumer Safety, And Post-harvest Optimization. Traditional Methods Rely Heavily On Human Vision And Manual So...
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...
Next-Gen ATM Security Combining Facial Recognition And User Consent Via Deep Learning
The Aim Of This Research Is To Improve The Security Of ATMs By Creating ATM Models That Make Use Of Convolutional Neural Networks (CNN) And Recurrent Neural Networks (RNN) For Facial Recognition Of Users And User Approval.Materials And Meth...
Autonomous Human Violence Detection In Smart Surveillance
Autonomous Human Violence Detection Has Become An Essential Component In Modern Smart Surveillance Systems Due To The Increasing Demand For Public Safety And Automated Monitoring. Traditional Surveillance Methods Rely Heavily On Continuous...
Smart Medicare Hub: An Integrated AI-Based Hospital Management System
This Paper Presents Smart Medicare Hub, An Ad- Vanced Integrated Hospital Management System Developed Using Flutter And Firebase. The System Automates Hospital Operations By Connecting Departments Such As Patient Registration, Phar- Macy, L...
BIOSIGNAL SMOCKING DETECTION OF X-RAY IMAGES
Lung Diseases Such As Viral Pneumonia And Smoking-induced Lung Damage Are Major Global Health Concerns Responsible For Millions Of Deaths Each Year. Early And Accurate Detection Of These Conditions Is Essential For Timely Medical Interventi...
AI Powered Wearable Assistant For Visually Impaired People
Blind And Visually Impaired Individuals Face Continuous Challenges In Their Everyday Lives, Especially When Identifying People, Detecting Obstacles, And Recognizing Currency, Which Significantly Affects Their Independence And Confidence. Tr...
PRECISION WEED IDENTIFICATION IN GROUNDNUT CROPS USING IMAGE PROCESSING TECHNIQUES
Weed Infestation Is One Of The Major Problems Affecting Crop Growth And Reducing Agricultural Productivity In Groundnut Cultivation. Early Identification And Management Of Weeds Are Essential To Improve Crop Yield. In This Study, An Image-b...