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Papers tagged with "Recurrent Neural Network"
AI-Driven Malicious URL Detection Using Machine Learning, Deep Learning, And Secure Full-Stack Web Integration With CI/CD Pipeline
The Pervasive Adoption Of Digital Platforms Has Precipitated A Concomitant Escalation In Phishing Attacks, Wherein Malicious Uniform Resource Locators (URLs) Serve As The Primary Vector For Credential Theft, Financial Fraud, And Malware Dis...
ENHANCING STOCK PRICE FORECASTING ACCURACY USING COMPOSITIONAL RNN
Predicting Stock Prices Accurately Is Essential For Making Well-informed Decisions In Erratic Financial Markets. This Paper Introduces A Compositional Deep Learning Framework For Multivariate Time-series Forecasting That Integrates Three RN...
Human Sentiment Sound RNN Emotional Analysis With Django interface
Human Sentiment Sound RNNs For Emotional Audio Analysis With A Django Interface" Explores The Intersection Of Deep Learning And Human-computer Interaction By Developing A Recurrent Neural Network (RNN) Model Tailored To Analyze And Classify...
RNN-Based Heartbeat Sound Analysis With Django Integration
Congenital Heart Diseases (CHDs) Are Among The Leading Causes Of Mortality Worldwide, Necessitating Early And Accurate Detection Methods.Improving Patient Outcomes And Facilitating Prompt Medical Intervention Depend Heavily On Early Diagnos...
A STUDY ON TYPE 2 DIABETES PREDICTION USING DEEP LEARNING TECHNIQUES
T2DM, Or Type 2 Diabetes Mellitus, Has Become A Major Global Health Concern Due To Its High Prevalence And Related Medical Expenses. With An Emphasis On Data-driven Strategies That Make Use Of Patient Health Information, Such As Blood Sugar...
URBAN STREET CLEANLINESS ASSESSMENT USING MOBILE EDGE COMPUTING AND DEEP LEARNING
Object Detection Plays A Vital Role In Computer Vision, With Numerous Applications, Including Smart City Development. City Managers Invest Significant Resources In Cleaning Street Garbage Due To Its Unpredictable Appearance. As Deep Learnin...
AN EFFICIENT PREDICTION OF TRAFFIC FLOW BY USING LSTM IN ARTIFICIAL INTELLIGENCE
Nowadays Traffic Flow Is Major Problem. Approximately 1.3 Million People Die Each Year Because Of Accidents According To WHO In 2022. Knowing How Traffic Will Move Is Important For Managing Traffic, Easing Congestion, And Making Transportat...
A SURVEY ON TRAFFIC FLOW PREDICTION BY USING ARTIFICIAL INTELLIGENCE
This Paper Represents A Novel Design And Control Nowadays Traffic Flow Is Major Problem. Approximately 1.3 Million People Die Each Year Because Of Accidents According To WHO In 2022. Knowing How Traffic Will Move Is Important For Managing T...
FACIAL EYE RECOGNITION FOR PHYSICALLY CHALLENGED PERSON USING DEEP LEARNING
Facial Eye Recognition For Physically Challenged Persons Using Deep Learning Is A Pioneering Research Project That Leverages Cutting-edge Deep Learning Techniques To Empower Individuals With Physical Disabilities. This Innovative System Aim...
IMAGE CAPTION GENERATOR USING CNN ALGORITHM
An Image Caption Generator Is A Type Of Machine Learning Model That Is Capable Of Producing Natural Language Descriptions Of Images Or Videos. This Technology Has Become Increasingly Popular In Recent Years Due To Its Ability To Make Visual...
A FRAMEWORK FOR DETECTING SQL INJECTION ATTACK USING RECURRENT NEURAL NETWORKS
OWASP Has Identified SQL Injection As The Primary Security Threat Among The Top 10. SQL Injection Attacks Can Have Severe Consequences, Such As Data Breaches And Website Failure. To Address This Issue, An Adaptive Deep Forest-based Approach...
PREDICTION OF PASSENGER FLOW IN PUBLIC RAILWAY TRANSPORTATION
Predicting Passenger Flow In Public Railway Transportation Is A Complex Task That Involves Analysing Various Factors, Such As The Time Of Day, The Day Of The Week, And The Season, As Well As Special Events And Holidays That May Affect Trave...
INTELLIGENT CHATBOT WITH RNN
A Chatbot Is An Intelligent System That Identifies The Input And Provides Output Based On The Provided Training Data. Recurrent Neural Networks Provide Continuous Context To A Conversation Which Allows Prediction Of Next Word. The Output Of...
MUSIC GENERATION WITH MELODY RECURRENT NEURAL NETWORKS AND COMPARISON OF BASIC, LOOKBACK AND ATTENTION RNN MODELS
A Recurrent Neural Network Is A Type Of Network Which Combines Different Units To Form A Directed Cycle. RNNs Can Use Their Internal Memory To Process Sequence Of Inputs. This Makes Their Application In Areas Such As Handwriting Recognition...
REVIEW OF STATE OF THE ART OF CHORD RECOGNITION
In This Paper We Present A Comprehensive Review Of The Two Of The Recent Audio Chord Recognition Systems. This Review Paper Focuses On Automatic Chord Estimation Rather Than Future Chord Prediction. This Paper Attempts To Provide Systematic...