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Papers tagged with "Models"
FAUX FINDER
Fake Photos Have Recently Gained Popularity, Making It Harder For Individuals To Recognize Them. Many Professions, Such As Forensics, Are Suffering As A Result Of These Fake Photographs, And Social Media Has Also Become An Issue As A Result...
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...
Automated Identification of Student Engagement in Online Learning: A Bagging Ensemble Deep Learning Method
The COVID-19 Pandemic Has Transformed Education, Shifting Learning From Traditional Classroom Settings To Online Platforms. While This Transition Offers Benefits, Such As Freeing Learning From Time And Location Limitations, And Allowing Edu...
PRETRAINING-BASED NATURAL LANGUAGE GENERATION FOR TEXT SUMMARIZATION WITH MACHINE LEARNING
This Paper Presents A Novel Approach To Text Summarization Using Pretraining-based Natural Language Generation (NLG) With Machine Learning. Utilizing Transformer Models Like BERT And GPT, The Study Develops An Encoder-decoder Framework To G...
DRUGGED EYE DETECTION USING IMAGE PROCESSING
The Project Has Entitled As “DRUGGED EYE DETECTION USING IMAGE PROCESSING”, And Developed By Using Python As Front End. Drugs Are A Major Problem In Economic And Many Losses In Worldwide. In This Project, Introduces An Innovative Approach U...
DETECTING THE STRENGTH OF SECURITY IN CRYPTOSYSTEM USING RDH AND CBIR
These Days, Many People Use Cloud Storage To Keep Their Files, But There Are Serious Worries About How Safe This Data Is. One Way To Make It Safer Is By Using Cryptography, Which Involves Encoding Data So That Only Authorized People Can Acc...
MELANOMA SKIN CANCER PREDICTION
Melanoma Cancer, Specifically Melanoma, Represents A Significant Public Health Concern Due To Its Potentially Aggressive Nature. Early Detection And Accurate Diagnosis Are Crucial In Improving Patient Outcomes. In Recent Years, Machine Lear...
IMAGE TO TEXT CONVERSION SYNTHESIS USING DEEP LEARNING
The Image-to-text Conversion Using Transformers And OpenAI's CLIP (Contrastive Language-Image Pre-training) Project Involves Leveraging Advanced Neural Network Architectures To Bridge The Gap Between Visual And Textual Information. Transfor...
PROMPT ENGINEERING: SKILLS TO CRAFT AND REFINE INPUT INSTRUCTIONS FOR AI
Prompt Engineering Is The Capability To Draft And Upgrade Input Instructions For Generative AI Machines. The Recent Rise Of Large Language Models (LLMs) Like GPT- 3, ChatGPT, AI21's Jurassic, And Cohere Has Revolutionized What Can Be Achiev...
A SURVEY AND INVESTIGATION OF DIFFERENT MACHINE LEARNING TECHNIQUES FOR FORECASTING STOCK TRENDS
The Stock Prices Depend Both On Time As Well As Associated Variables And Finding Patterns In Among The Variables Aid Forecasting Future Stock Prices Which Is Often Termed As Stock Market Forecasting. Stock Market Prediction Extremely Challe...
EFFECT OF MOBILITY ON ENERGY CONSUMPTION OF OSLR PROTOCOL IN MANET’S
A Mobile Ad-hoc NETwork (MANET) Is A Collection Of Wireless Mobile Nodes Forming A Self-configuring Network Without Using Any Established Infrastructure OLSR Routing Protocol Using Random Waypoint Mobility Model, RPGM, Gauss Markov Mobility...
GENERATIVE AI
Generative Artificial Intelligence (Generative AI) Stands At The Forefront Of Innovation, Revolutionizing Data Generation And Creative Content Production. This Paper Explores The Multifaceted World Of Generative AI, Delving Into Its Diverse...
GENERATIVE ADVERSARIAL NETWORKS : A REVIEW
GANs Have Gained Much Attention From The Research Community In Recent Years In Terms Of Generating Quality Images And Data Augmentation. Generative Adversarial Networks (GANs) Present A Way To Learn Deep Representations Without Extensively...
NEURAL NETWORK BASED RETINAL BLOOD VESSEL SEGMENTATION AND DISEASE IDENTIFICATION
Diabetic Retinal Image Classification Aims To Conduct Diabetic Retinopathy Automatically Diagnosing, Which Has Achieved Considerable Improvement By Deep Learning Models. However, These Methods All Rely On Sufficient Network Training By Larg...
DESIGN AND ANALYSIS OF PRECAST CONCRETE BRIDGE STRUCTURE USING SOFTWARE
A Bridge Management System Is A Method Of Managing Bridges Throughout The Design, Operation, Building, And Maintenance Phases Of The Bridge's Lifecycle. When Funding Becomes More Difficult To Come By, Road Management Authorities All Over Th...