Impact Factor
Publish Your Paper
Submit your research manuscript for fast peer review and publication.
Submit Paper
Papers tagged with "Models"
A Comprehensive Review On Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
A Survey On Machine Learning And Deep Learning Models For Predicting Traffic Transit Time
The Transition Towards Intelligent Traffic Systems (ITS) Is Inevitable In Future. Accurate Travel Time Estimation Is Vital For The Effectiveness Of Modern Public Transportation Systems. It Plays A Central Role In Applications Such As Real-t...
A Comprehensive Review On Contemporary Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
AI-Enhanced Centralized Knowledge Sharing Platform For College Students
For New Batches Of Students Who Are Often Con-fused With Their Respective Admissions And Placements, Existing Digital Platforms Do Not Always Relate To Relevance And Often Appear Vague. Legacy Campus Search Engines Are Built On Simple Keywo...
A Review On Statistical Models For Anomaly Detection Using Metro Turnout Data
Metro Railway Systems Are Among The Most Important Modes Of Urban Transportation, Providing Safe, Reliable, And Efficient Mobility For Millions Of Passengers Every Day. One Of The Most Critical Components Of A Metro Railway Network Is The T...
A Review On Statistical Models For Estimating Damages On Bridges To Transportation Safety
With Rapid Advances In Statistical Modelling And Data Analysis, Analysis Of Bridge Failure And Damage Is Also Being Considered Under The Purview Of Statistical Models. It Is Ubiquitous That Manual Inspection Of Bridge Damage And Estimations...
An Intelligent Multi-Modal Interview Simulation System Using Large Language Models, Automatic Speech Recognition, And Neural Text-to-Speech Synthesis
Preparing For Technical Employment Interviews Is A High-stakes Endeavor That Demands Both Domain Expertise And Practiced Verbal Communication. Conventional Preparation Strategies—textbook Study, Static Question Banks, And Peer Mock Sessions...
A Review Of AI-Based Cybersecurity Monitoring Systems – SecurAI Sentinel: The Intelligent Threat Detection Platform
Cybersecurity Threats Have Grown Exponentially In Complexity And Volume, Rendering Traditional Rule-based Monitoring Tools Increasingly Inadequate For Modern Enterprise And Institutional Environments. Existing Security Platforms Are Often S...
A Hybrid Deep Learning Model For Detecting Credit Card Fraud Using CNN–BiLSTM With An Attention Mechanism And Focal Loss Optimization
Detecting Credit Card Fraud Is A Complex Task Due To The Significant Imbalance In Data And The Constantly Changing Nature Of Fraudulent Activities. This Research Introduces A Hybrid Deep Learning Model That Combines CNN, BiLSTM, And An Atte...
LLM-Based Medical AI Chatbot Using LLaMA For Healthcare Assistance
Access To Quality Healthcare Remains A Critical Global Challenge. Approximately 3.5 Billion People Lack Access To Basic Healthcare Services. This Paper Presents The Design And Development Of A Full-stack Document Intelligence Application Po...
Hallucination Detection System For Large Language Models (LLMs) Using GenAI
Large Language Models (LLMs) Often Generate Plausible Yet Incorrect Information, Known As Hallucinations. This Paper Proposes A Real-time Hallucination Detection System That Evaluates The Reliability Of LLM Outputs. The System Combines E...
Multilingual AI-Based Legal Document Analyzer Using Retrieval-Augmented Generation And Transformer Models
The Interpretation Of Legal Documents Remains A Complex, Time-intensive Challenge For Both Legal Professionals And The General Public. This Paper Presents A Multilingual AI-Based Legal Document Analyzer That Lever- Ages Retrieval-Augmented...
FPGA Implementation Of Brain-Inspired Neuromorphic Computing Circuits
Brain-inspired Neuromorphic Computing Has Emerged As An Efficient Approach For Implementing Cognitive And Learning-based Systems With Low Power Consumption And High Parallelism. Unlike Conventional Computing Architectures, Neuromorphic Syst...
Street Level Travel Time Estimation Employing WBPST-SVR Model Using GTFS Feature
Accurate Estimation Of Street-level Travel Time Is A Fundamental Requirement For Intelligent Transportation Systems (ITS), Enabling Effective Traffic Management, Route Optimization, And Real-time Traveler Information Services. With The Incr...
A Review On Various Herbal Plants And Behavioral Model’s On Parkinson’s Disease
Parkinson’s Disease Is A Chronic Neurodegenerative Disorder With A Myriad Of Motor And Non-motor Symptoms. Its Management Is Essentially Palliative, And It Can Extend To Three To Four Decades. Device-assisted Therapy Including Deep Brain St...