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Papers tagged with "Model"
Heart Disease Prediction Using Machine Learning with Flask
Heart Disease Is A Major Cause Of Death Worldwide. Early Diagnosis And Treatment Can Improve Outcomes For Patients. Machine Learning Techniques, Particularly The Decision Tree Algorithm, Have Shown Great Promise In Aiding The Diagnosis And...
Exploring visual data analysis in the context of intelligence construction project management
Data Visualization Of Data Collected On Construction Sites Is A Valuable Source Of Information For The Day-to-day Operations Of Construction Projects. In The Field Of Construction Project Management, The Introduction Of Intelligent Technolo...
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...
Review on Design And Simulation of a Cylindrical Dielectric Resonator Antenna for Biomedical Applications
To Detect Glucose In Humans, A Dielectric Resonator Antenna In The Shape Of A Cylinder Is Introduced. In The Suggested Antenna Sensor, A 50Ω Microstrip Line Connects An Alumina Ceramic Dielectric Resonator. The Glucose Concentration Is Meas...
ADVANCEMENTS AND INSIGHTS IN AI INTERVIEW TECHNOLOGY: A COMPARATIVE ANALYSIS
Examining Three Pivotal Studies On The Integration Of Artificial Intelligence (AI) Into Recruitment Processes, The First Study Proposes A Decision-making Model For AI Application In Corporate Job Interviews, Emphasizing Factors Such As Ease...
NLP APPROACH TO SENTIMENT ANALYSIS: A MACHINE LEARNING APPROACH FOR ANALYSING TWEETS
Sentiment Analysis A Technique Or Method That Is Commonly Used To Analyse The Sentiment Or Emotions Of People. This Is A Method That Is Applicable To All Occasions And This Is Also Applicable To The Global Pandemic Of The New Coronavirus (C...
PREDICTIVE MODELLING FOR STOCK MARKET PRICE MOVEMENTS USING MACHINE LEARNING
This Project Uses Machine Learning To Predict Stock Market Prices. We Collect And Clean Historical Stock Data And Then Build Different Models To Make Predictions. We Also Consider Fairness And Ethics In Our Predictions. Our Goal Is To Help...
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...
DEEP LEARNING CLASSIFICATION OF OPTICAL COHERENCE TOMOGRAPHY RETINAL IMAGES
This Study Presents A Deep Learning Approach For The Classification Of Optical Coherence Tomography (OCT) Retinal Images To Identify Various Retinal Diseases, Including Acrima, Cataract, Glaucoma, And Normal Retina, Utilizing The ResNet-50...
FACE BIOMETRIC AUTHENTICATION SYSTEM FOR ATM
The Objective Of This Project Is To Proposes The Alliance Of Face Recognition System For Authentication Process, Unknown Face Forwarder Mechanism And Enhancing The Security In The Banking Region.With The Rise Of Security Concerns In Bankin...
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...
FACE RECOGNITION BASED ATTENDANCE MONITORING SYSTEM
The Face Recognition Base Attendance Monitoring System(FRAMS) Is A Novel Approach To Automating The Attendance Tracking Process In Various Settings Such As Educational Institutions, Corporate Offices, And Other Organizations. Traditional Me...
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...