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Papers tagged with "Lstm"
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...
Deep Learning – Based Fake News Classification With Android App Integration
Fake News And Spam Emails Present Critical Challenges To The Digital World, Impacting Societal Trust And Cybersecurity. This Design Proposes A Scalable Android- Rested Operation That Employs Advanced Deep Knowledge Approaches For Identifyin...
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...
Predicting Levels Of Damages To Buildings Caused By Earthquake
Earthquakes Are Among The Most Devastating Natural Disasters, Causing Extensive Damage To Infrastructure And Posing Severe Threats To Human Life. Predicting The Level Of Building Damage Resulting From An Earthquake Can Greatly Enhance Disas...
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...
Machine Learning Approach For Accurate Stock Predication Using LSTM
Stock Price Prediction Is A Critical Task For Investors, Traders, And Financial Analysts To Make Informed Decisions. Traditional Statistical Methods Often Struggle To Capture The Complex, Non-linear Patterns And Long-term Dependencies Inher...
Real-Time Sign Language Recognition And Text Conversion Using LSTM For Enhanced Communication Accessibility
Sign Language Recognition Has Gained Significant Attention In Recent Years As An Essential Tool For Bridging The Communication Gap Between Individuals With Hearing Impairments And The Broader Society. Traditional Approaches Relying On Convo...
A Study On Predicting House Prices With Deep Learning: An Evaluation Of Advanced Neural Network Models
Everyone Dreams Of Owning A Home That Aligns With Their Lifestyle And Meets Their Unique Needs, Including Essential Amenities. Factors Like Area, Location, And Views Play A Major Role In Determining The Price Of A House. However, Predicting...
Detection Of Suicidal Ideation From Social Media Posts Using BERT And LSTM Models
Twitter And Facebook Are The Most Popular And Commonly Used Social Media Platforms Among People Of All Ages When Textually Expressing Their State Of Mind Or Emotions. Some Of These Emotions And Thoughts Are From People Who Are Suicidal. Sui...
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...
A Deep neural network based model for predicting remanufacturing cost of eol products
Remanufacturing Cost Prediction Is Conducive To Visually Judging The Remanufacturability Of End-of-life (EOL) Products From Economic Perspective. However, Due To The Randomness, Non-linearity Of Remanufacturing Cost And The Lack Of Sufficient...
EMOTION DETECTION FROM FACIAL EXPRESSIONS USING CNN AND LSTM FOR ENHANCED ACCESSIBILITY FOR BLIND INDIVIDUALS
Facial Expressions Are A Crucial Component Of Human Communication, Conveying Emotions That Enrich Social Interactions. For Blind Individuals, This Nonverbal Channel Is Inaccessible, Hindering Their Ability To Fully Understand Social Cues. T...
CRYPTO CURRENCY PRICE PREDICTION USING DEEPLEARNING
Cryptocurrencies Have Gained Immense Popularity In Recent Years As An Emerging Asset Class, And Their Prices Are Known To Be Highly Volatile. Predicting Cryptocurrency Authority.In This Paper, Our Proposal Is To Employ Long Short-Term Memor...
AUTOMATIC FILTERING OF ELECTRONIC SCAM BY LONG SHORT-TERM MEMORY APPROACH DEEP LEARNING
With The Pervasive Use Of Smartphones And SMS As A Primary Mode Of Communication, The Threat Of Electronic Scams And Spam Has Become Increasingly Prevalent. This Paper Presents A Novel Approach To Automatically Filter Electronic Scams Using...
FORTIFYING PHISHING ATTACK DETECTION USING CRYPTOGRAPHIC TECHNIQUES
In The Face Of A Rapidly Escalating Cyber Threat Landscape, This Project Stands As A Timely And Indispensable Response To A Critical Problem. Conventional Cybersecurity Measures Are Struggling To Keep Pace With The Sophistication Of Modern...