Impact Factor
Publish Your Paper
Submit your research manuscript for fast peer review and publication.
Submit Paper
Papers tagged with "Neural"
Intelligent Attendance Monitoring System Using Deep Face Recognition With Residual Neural Network (ResNet) Analysis
An Innovative Attendance System Utilizing Face Detection Technology Is Presented, Aimed At Improving The Efficiency And Accuracy Of Attendance Tracking. This System Integrates Computer Vision With Advanced Deep Learning Techniques, Enabling...
Deep Learning Approaches For Brain State Detection Under Anesthesia: A CNN-LSTM Framework
This Research Presents An Automated Approach To Analyzing Brain States During Anesthesia Using Convolutional Neural Networks (CNNs) And Long Short-Term Memory (LSTM) Networks. By Leveraging The Spatial Feature Extraction Power Of CNNs And T...
A Convolutional Neural Network Approach To Interview Simulation And Evaluation
Artificial Intelligence (AI) Is Transforming A Wide Range Of Industries By Enabling Machines To Perform Tasks That Traditionally Required Human Intelligence, Such As Perception, Decision-making, And Natural Interaction. In The Context Of Re...
HELMET DETECTION AND NUMBER PLATE USING DEEP LEARNING
Individuals Frequently Disregard How Important It Is To Wear Helmets, Which Is Tragic. A Helmet Reduces Your Risk Of Getting A Serious Brain Injury And Dying By Deflecting Most Of The Impact Energy That Would Otherwise Hit Your Head And...
Breast Cancer Detection Using Hybrid Ri-Vit In Histopathalogical Images
Breast Cancer Remains A Significant Global Health Concern, Impacting Millions Of Women Each Year. Timely Detection And Precise Diagnosis Are Essential To Enhancing Treatment Success And Lowering Death Rates. Histopathological Imaging Is Wid...
EARLY DETECTION OF BRAIN STROKE FOR MEDICAL IMAGING THROUGH CNN AND IMAGE ANALYSIS
The Early Detection Of Brain Strokes Is Critical For Improving Patient Outcomes And Minimizing Long-term Disabilities. Timely Diagnosis Can Significantly Reduce The Risk Of Brain Damage By Enabling Swift Medical Intervention. This Research...
Predictive Breast Cancer Modeling Using Machine Learning
Breast Cancer Is A Form Of Tumor That Develops Within Breast Tissues And Remains The Most Prevalent Cancer Among Women Globally, Ranking As One Of The Leading Causes Of Female Mortality. This Survey Examines The Evolving Landscape Of Predic...
An Improved Fire Detection Method Based On CNN
In Order To Minimize Damage, Fire Detection Is A Crucial Component Of Early Warning Systems In Both Urban And Rural Areas. And Quickening Response Times. Traditional Fire Detection Methods Have Limited Environmental Detecting Capabilitie...
Position-Sensitive Neural Networks For Insect Detection And Grain Quality Prediction In Storage
Insect Infestations In Grain Can Lead To Significant Losses In Both Quantity And Quality, Impacting Crop Value. These Insects Not Only Consume Grain But Also Contaminate It With Their Metabolic By-products And Body Parts, Contributing To Th...
AI-Powered Based Blind And Visually Impaired System For Smart Glass
Visual Impairment Poses Significant Challenges To The Daily Lives And Mobility Of Millions Of People Worldwide. In This Context, Smart Assistive Technologies Have Gained Momentum In Improving The Independence And Quality Of Life For The Bli...
Fetus Brain Tumor Detection Using Ultrasound Images In Deep Learning
The Early Identification Of Brain Tumors In Fetus Is Critical For Timely Medical Intervention And Improved Neonatal Outcomes. This Study Presents A Deep Learning-based Approach To Automatically Detect And Classify Brain Tumors In Fetal Ultr...
ECG PEAK DETECTION USING DEEP LEARNING APPROACHES
Cardiovascular Diseases (CVDs) Remain A Leading Cause Of Mortality Worldwide, Necessitating Efficient Diagnostic Tools For Early Detection. Electrocardiogram (ECG) Analysis Is A Cornerstone Of Cardiac Diagnosis, But Manual Interpretation Is...
DDOS DETECTION IN SOFTWARE DEFINED NETWORK USING FEDERATED LEARNING
Distributed Denial Of Service Attacks Have Become A Great Concern For Security In Software Defined Networking(SDN), As They Mostly Overload Centralized Security Mechanisms. In This Work, A Federated Learning-Based Intrusion Detection System...
DETECT GENUINE AND COUNTERFEIT LOGOS USING A CNN WITH THE INCEPTION V3 PRE TRAINED MODEL TO ACHIEVE HIGH ACCURACY
The Proliferation Of Counterfeit Products Poses Significant Challenges To Brand Integrity And Consumer Trust. This Paper Presents A Comprehensive Survey On Detecting Genuine And Counterfeit Logos Using Convolutional Neural Networks (CNNs) W...
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...