Impact Factor
Publish Your Paper
Submit your research manuscript for fast peer review and publication.
Submit Paper
Papers tagged with "Process"
BIKERS PORTAL – ONE STOP SOLUTION FOR RIDERS
The Rapid Growth Of Two-wheeler Usage Has Increased The Demand For Reliable Digital Platforms That Cater Specifically To The Needs Of Motorcycle Riders. However, Most Available Systems Focus Only On Isolated Services Such As E-commerce Or S...
A Deep Learning Based Privacy Preservation Mechanism For IoT And IoMT Applications
Batch Processing In Deep Learning Has Been Explored Extensively To Secure IoMT Networks. Devices Such As Multimedia Sensor Nodes (MSNs) In The IoMT Are Able To Produce Both Multimedia And Non-multimedia Data. The Generated Data Are Sent Fro...
Review On Polyhydroxybutyrate (PHB) And Global Research Trends
Polyhydroxybutyrate (PHB) Is One Of The Most Studied Members Of The Polyhydroxyalkanoate (PHA) Family. It Shows Promise As A Biodegradable And Sustainable Alternative To Traditional Plastics. With Rising Global Worries About Plastic Polluti...
Energy-Efficient VLSI Architectures For Intelligent Biomedical Signal Processing: Review
Recent Advancements In VLSI Technology Have Significantly Transformed Biomedical Signal Processing Systems By Enabling Ultralow-power, Compact, And Intelligent Hardware Platforms For Continuous Health Monitoring. In Particular, Electrocardi...
DEVELOPING AN ISLANDING ARRANGEMENT FOR GRID ON SENSING BAD VOLTAGE/ BAD FREQUENCY
This Paper Presents The In Modern Power Systems, The Growing Penetration Of Distributed Generation (DG) Units Such As Photovoltaic Arrays, Wind Turbines, And Microturbines Poses Significant Challenges To Grid Reliability And Stability Durin...
E-Counsellor For Centralized Admission Process
The Centralized Admission Process (CAP) Carried Out By The Maharashtra State CET Cell Plays A Crucial Role In Allocating Seats To Students Seeking Admission To Engineering Programs. Every Year, Thousands Of Students Struggle To Interpret Cu...
Smart Resume Analyzer
In Today's Competitive Job Market, Most Organizations Use Applicant Tracking Systems (ATS) To Filter Candidates Automatically. This Process, While Efficient For Employers, Often Results In Many Well- Qualified Applicants Being Rejected Simp...
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...
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...
AI-BASED CRIME REPORTING AND PATTERN ANALYSIS SYSTEM
In The Modern Era Of Digital Law Enforcement, Efficient Crime Reporting And Pattern Analysis Play A Vital Role In Public Safety And Resource Optimization. However, Traditional Crime Reporting Systems Suffer From Manual Processing Delays, In...
FAKE NEWS PREDICTION BASED ON NATURAL LANGUAGE PROCESSING(NLP) AND MACHINE LEARNING
The Rapid Dissemination Of Misinformation Across Social And Digital Media Platforms Has Created A Growing Demand For Automated Mechanisms To Detect And Prevent The Spread Of Fake News. This Paper Presents A Machine Learning–based Fake News...
SMART HIRING ASSISTANT FOR RESUME AND PROFILE BUILDING-SHARP
The Smart Hiring Assistant For Resume And Profile Building (SHARP) Is An AI-powered Web Platform Developed To Enhance Employability By Providing Data-driven Resume Analysis And Personalized Recommendations. The System Employs Artificial Int...
Recognition Of Fraudulent Job Advertisements Using A Machine Learning Framework
The Rapid Growth Of Online Job Markets Has Led To A Rise In Fraudulent Postings, Causing Financial And Emotional Harm To Job Seekers. This Study Introduces An Intelligent Fraud Detection System Using Ensemble Machine Learning And NLP To Aut...
HUMAN IDENTIFICATION USING DENTAL BIOMETRICS- A REVIEW
Human Identification Is A Vital Component Of Forensic Science, Crime Scenes, And In Addition To Mass Disaster Victim Identification. There Exists Plenty Of Conventional Biometrics Such As Fingerprint, Face Recognition, Etc.; However, Dental...
Development Of An Adaptive Machine Learning Framework For Real-Time Anomaly Detection In Cybersecurity
The Exponential Growth Of Digital Infrastructures And The Increasing Sophistication Of Cyber-attacks Necessitate The Development Of Intelligent, Adaptive, And Real-time Defense Mechanisms. Traditional Signature-based Intrusion Detection Sys...