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Papers tagged with "Sn"
AI BASED WIRELESS CHARGING STATION FOR ELECTRICAL VEHICLE
As The Production Of Electric Vehicles (EVs) Has Significantly Increased In Recent Years, Driven By The Need To Reduce Carbon Emissions And Promote Environmentally Friendly Transportation. This Transition From Traditional Internal Combustio...
Enhanced Deepfake Detection Using ResNet50 And Facial Landmark Analysis
This Research Focuses On Accuracy Enhancement In The Detection Of Deepfakes Using The ResNet50 Algorithm Designed Through Deep Learning. It Analyzes Anomalies In Artificial Facial Images. Materials And Methods: The Two Implemented Deep Lear...
ENHANCED GASTROINTESTINAL DISEASE DETECTION USING RESNET50: A COMPARATIVE STUDY OF DEEP LEARNING ARCHITECTURES FOR MEDICAL IMAGE CLASSIFICATION
Gastrointestinal (GI) Diseases Such As Polyps, Ulcers, And Tumors Require Early Detection For Effective Treatment. Traditional Manual Inspection Of Endoscopy Images Is Timeconsuming And Prone To Human Error. This Project Proposes An AIbased...
LRFS : Online Shopper's Behaviour - Based Efficient Customer Segmentation Model
Online Shopping Has Become A Dominant Platform In Modern Digital Commerce. Understanding Customer Behavior Is Essential For Improving Marketing Strategies And Increasing Revenue. This Paper Proposes An Enhanced Customer Segmentation Model N...
Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet Blended Hybrid Model
Diabetic Retinopathy (DR) Represents A Critical Complication Of Diabetes Mellitus, Leading To Progressive Vision Impairment And Potential Blindness If Left Undetected. This Research Presents A Novel Multi-decision Inception-ResNet Blended H...
DEEPTRACENET: AN AI DRIVEN FRAMEWORK FOR MATHEMATICAL FEATURE-BASED FORGERY DETECTION
The Rapid Growth Of Deepfake Technologies Has Raised Serious Concerns Regarding The Authenticity Of Digital Images And Videos, Impacting Information Security, Media Credibility, And Forensic Analysis. This Research Presents A Deep Learning-...
Plant Disease Detection Using Deep Learning
Agriculture Plays A Crucial Role In Global Food Security, And Plant Diseases Represent One Of The Most Significant Threats To Crop Productivity And Quality Worldwide. Traditional Methods Of Disease Identification Rely Heavily On Manual Insp...
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...
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...
A Chaotic Framework For Image Encryption In Transform Domain
Off Late Conventional Image Data Hiding And Encryption Mechanisms Have Seen A Shift Towards Homomorphic Images Which Can Be Thought Of Being Created From A Constant Illumination And A Varying Reflectance. In This Proposed Work, The Fresnel...
Sign Language Classification Text And Voice Output System Using Resnet
Sign Language Is A Crucial Communication Medium For Individuals With Hearing And Speech Impairments. However, The Lack Of Widespread Accessibility To Sign Language Interpreter’s Limits Communication Opportunities For The Deaf And Mute Commu...
MULTIPLE MOTOR FAULT MONITORING INFORMATION USING WSN TO INCREASE PRODUCTION
Fault Identification In Three-phase Induction Motors Is A Critical Aspect Of Industrial Operations, Aimed At Preventing Costly Downtimes And Ensuring Operational Safety. Induction Motors Play A Vital Role In Various Industrial Applications,...
A Comprehensive Review And Taxonomy On Image Encryption Techniques
Data Encryption Has Been One Of The Pivotal Domains For Research. For A Long Time Is Has Happened To Be A Field Of Enormous Research Work Because Of Its Aspect Of Strong Data Protection. Initially Data Used To Be Handled In Text Formats On...
A Blue Tea California in the treatment of varies disease
Synthetic Aperture Radar (SAR) Image Colorization Using Deep Learning Aims To Convert Grayscale Radar Images Into Visually Meaningful Color Representations. By Leveraging Models Like U-Net And GANs, This Process Combines SAR Data, Such As P...
SAR IMAGE COLOURIZATION FOR COMPREHENSIVE INSIGHT USING DEEP LEARNING
Synthetic Aperture Radar (SAR) Image Colorization Using Deep Learning Aims To Convert Grayscale Radar Images Into Visually Meaningful Color Representations. By Leveraging Models Like U-Net And GANs, This Process Combines SAR Data, Such As P...