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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...
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...
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...
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...
INCREASING TAXI BUSINESS REVENUE FROM PREDICTED DEMAND BY APPLYING RECURRENT NEURAL NETWORKS
Forecasting The Demand Of Taxi Through The Entire City Can Be Efficiently Used To Manage The Fleet Of Taxi Control Drivers. By Forecasting The Demand, We Can Reduce The Waiting Time For All Passengers And Can Serve Them In A Better Way. In...
CUSTOMER SHOPPING PATTERN PREDICTION: A RECURRENT NEURAL NETWORK APPROACH
Customer Relationship Management Is A Popular And Strategic Topic In Marketing And Quality Of Service. The Availability Of Big Transactions Data As Well As Computing Systems Have Provided A Great Opportunity To Model And Predict Customer Be...