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Convolutional Neural Networks

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Convolutional Neural Networks

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Papers tagged with "Convolutional Neural Networks"

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Vol 12, Issue 7 (July 2026) Computer Science

Brain Tumor Detection From MRI Scans Using Convolutional Neural Networks: A Review

Brain Tumor Detection Is One Of The Most Critical Applications Of Artificial Intelligence (AI) In Medical Image Analysis. Early And Accurate Identification Of Brain Tumors Plays A Vital Role In Improving Patient Survival Rates And Assisting...

Sarthak Rathore, Prof. Pankaj Raghuwanshi
Vol 12, Issue 6 (June 2026) Information Technology Engineering

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...

Aditya Kundlik Hande, Aditya Hande, OMKAR PALAVE, VISHWAJEET JAGTAP, VINIT CHAKANE
Vol 12, Issue 5 (May 2026) Engineering

Classification Of Oral Cancer From White Light Image Using A Machine Learning Algorithm For Enhanced Accuracy

This Research Aims To Develop A New Framework For The Early Identification Of Oral Cancer Through Multimodal Data Fusion With LSTM Networks And CNNs. The Performance Of The Proposed Framework Is Tested For Sensitivity, Specificity, And Accu...

Dharani G, Shevak SriP
Vol 12, Issue 4 (April 2026) Information Technology

AI-POWERED INDIAN MEDICINAL PLANT IDENTIFICATION AND INFORMATION SYSTEM USING DEEP LEARNING AND COMPUTER VISION TECHNOLOGY

Good Identification Of Medicinal Plants Is The Key To Maintaining The Traditional Knowledge Systems And Safe Use Of Herbs. Physical Identification Of Plants Is Time Consuming And Subject To Errors Especially Where Species Have The Same Morp...

Mr. Soundararajan K, Krishna Priya A, Indhu J, Vani I, Jayarathi M
Vol 12, Issue 4 (April 2026) Artificial Intelligence And Data Science

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...

Mr.Muthukumar R, Mr.Boobalan M, Jerome Mc Jedidiah C, Kumaran E, Selvakumar S
Vol 12, Issue 4 (April 2026) Computer Vision (AI)

REAL-TIME VIOLENCE DETECTION SYSTEM USING YOLOV11 AND DEEP LEARNING

The Widespread Deployment Of Surveillance Systems Has Resulted In Continuous Generation Of Large-scale Video Data, Creating Challenges In Timely Identification Of Violent Incidents Such As Physical Assaults And Aggressive Behavior. Conventi...

Gokul .R, Sethupathi .T, Hevin Jose .P, Adhithya .P, J. Vasugi
Vol 12, Issue 4 (April 2026) CSE

YOLO-BASED AUTOMATED PCB DEFECT DETECTION AND QUALITY ASSESSMENT SYSTEM FOR SMART MANUFACTURING

Printed Circuit Boards (PCBs) Serve As The Structural And Electrical Foundation Of Virtually Every Modern Electronic Device, Making Their Quality And Reliability Paramount In Both Consumer And Industrial Electronics. Defects Introduced Duri...

Mrs. Banuppriya P, Gobika T, Kowcika C, Abinaya S, Srinithi S
Vol 12, Issue 4 (April 2026) CSE

AI -POWER BASED BLIND AND VISUALLY IMPAIRED SYSTEM FOR SMART GLASS

Visual Impairment Creates Major Challenges In Daily Life And Mobility, As Individuals Often Struggle To Detect Obstacles And Recognize People Around Them. To Address These Issues, Smart Assistive Technologies Play A Vital Role In Improving...

Balaji C, Dhanush P, Hariprasanna K, Bairavaprakash.C.P, Mahadevan
Vol 12, Issue 3 (March 2026) Electronics And Communication Engineering

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...

Karwin Vikash Tr, Jean Benedict M, Iyappank, Subasree
Vol 12, Issue 3 (March 2026) AI And Deep Learning In Medical

Deep Learning-Based Eye Disease Detection

Eye Diseases Such As Diabetic Retinopathy (DR), Glaucoma, And Age-related Macular Degeneration (AMD) Remain Major Causes Of Vision Loss Globally. Early Screening Is Crucial But Limited By The Availability Of Trained Ophthalmologists. This P...

Mrs.I.Suganya, Mrs. R. K. Nithya, Ms.K.Kavipriya, Ms.A.Sindhupriya, Ms.S.T.Swathi
Vol 12, Issue 3 (March 2026) Electronics And Communication Engineering

LUNG TUMOR SEGMENTATION USING VISUAL GEOMETRY GROUP NETWORKS IN MRI IMAGES

Lung Cancer Is One Of The Most Life-threatening Diseases Worldwide, And Early Diagnosis Significantly Increases The Chances Of Survival. Accurate Detection And Classification Of Lung Tumors Remain Challenging Due To Variations In Tumor Size...

Mrs.M.Geethalakshmi, Nithish S, Nithish S, Gokul K

AI-Enabled Surveillance System For Abnormal Activity Detection And Alerting

Surveillance System Is A Network Of Interconnected Devices And Technologies Designed To Monitor, Record, And Analyze Activities In A Particular Area Or Environment. The Primary Purpose Of Surveillance Systems Is To Enhance Security, Gather...

Satheesh Kumar K, Satheesh Kumar.k, B.yogeshwaran, G.v.prabakaran, G.Maheshwaran
Vol 11, Issue 5 (May 2025) NA

Securing ATM Transaction With Facial Recognition -Based On Verification System

ATM Fraud And Unauthorized Transactions Pose Significant Security Challenges In The Banking Sector. Traditional Authentication Methods Such As PINs And Cards Are Vulnerable To Theft, Skimming, And Phishing Attacks. This Paper Proposes An In...

Jeganathan C, Ghaniniyan K, Nishanth Kumar G
Vol 11, Issue 5 (May 2025) Information Technology

SUSTAINABLE AGRICULTURE: A APPROACH FOR RICE LEAF DISEASE DETECTION AND CLASSIFICATION USING DCNN AND ENHANCED DATASETS

The Quality And Productivity Of Rice Crops Can Be Significantly Impacted By A Variety Of Diseases. For Effective Management And Higher Agricultural Productivity, Early Disease Detection And Classification Are Essential. The Primary Objectiv...

Sri Ranjani C, Lavanya G, Deepika M, Sujitha S, Soundararajan K

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