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Digital Addiction : A Multi-Dataset Analysis Health Impacts, Usage Patterns, And Intervention Strategies
Digital Addiction Has Become A Major Worldwide Public Health Problem Which Mainly Affects Teenagers And Young People Between 15 And 25 Years Old. The Mass Adoption Of Smart- Phones Along With Social Media Platforms And Online Gaming Platfor...
Cyber Threat Intelligence System Using CNN-LSTM Deep Learning Model
Cyber Threat IntelligenceThe Rapid Evolution Of Cyber Threats, Including Malware, Phishing Attacks, Distributed Denial Of Service (DDoS), And Advanced Persistent Threats, Has Made Traditional Security Mechanisms Less Effective. Conventional...
AI-Based Automatic Expense Tracking And Prediction System Using Machine Learning
This Paper Presents An Artificial Intelligence-based Automatic Expense Tracking System Designed To Help Users Manage Their Financial Activities Efficiently. Traditional Expense Tracking Methods Require Manual Input And Lack Predictive Insig...
ROAD SAFETY ANALYSIS OF A BLIND SPOT AREA ON ROAD AND SUGGESTION TO MINIMISE THE ACCIDENTS: A REVIEW
The Construction Sector Is Increasingly Challenged To Approximately 10% Of All Road Fatalities Worldwide Occur In India, Where 1,46,133 People Are Killed Annually. The Identification Of Blind Spots In Indore And Other Current And Possible S...
Online Attendance Register With Personal Details Database Embedded With AI For Data Analysis And Filtration
In Recent Years, Educational And Corporate Institu- Tions Have Begun Transitioning To Automated Attendance Man- Agement Systems Driven By Digital Technologies. This Paper Proposes An Intelligent Online Attendance Register Integrated With A...
Comprehensive Empirical And Analytical Investigation Of Ramanujan's Tau Function Via Deep Learning And Computational Methods
Ramanujan's Tau Function, τ(n), Defined By The Fourier Coefficients Of The Modular Discriminant Δ(q), Is A Cornerstone In Analytic Number Theory. While Its Fundamental Multiplicative And Recursive Properties Are Well-established, Deeper Que...
FLOOD VULNERABILITY ASSESSMENT IN CUDDALORE: A DATA-DRIVEN APPROACH TO RAINFALL AND RIVER OVERFLOW
As In This Project, Rainfall Plays A Crucial Role In Determining Agricultural Productivity, Water Resource Availability, And Environmental Sustainability. This Study Utilizes Geographic Information System (GIS) Techniques To Analyze The Spa...
Review On Weather-Based Crop Yield Prediction Using Big Data Analytics
Agriculture Is The Indian Economy's Backbone. Big Data Analytics Are Becoming More Precise And Feasible In Agricultural Research. Current Water Scarcity, Uncontrollable Costs Owing To Demand-supply Imbalances, And Weather Instability Need F...
Sleep Apnea Detection System Using Polysomnography Test
Sleep Apnea Presents Significant Challenges In Timely Diagnosis And Treatment, Often Exacerbated By Limitations In Accessing Polysomnography (PSG) Conducted In Sleep Labs. This Study Proposes A Novel Home-based PSG System To Revolutionize T...
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...
A STUDY ON IMPACT OF TRAINING AND DEVELOPMENT ON EMPLOYEE PERFORMANCE
Training Constitutes A Basic Concept In Human Resource Development. It Is Concerned With Developing A Particular Skill To A Desired Standard By Instruction And Practice. Every Organization Should Provide Training To All The Employees Irresp...
IMPLEMENTATION OF 5S (SORTING) AT STEELMAX ROLLING MILLS PVT LTD. KANJIKODE, PALAKKAD
This Project Aims To Restart The Implementation Of The 5S Methodology At Steelmax To Enhance Workplace Organization, Efficiency, And Safety. By Revisiting The 5S Model Sort, Set In Order, Shine, Standardize, And Sustain We Will Address Prev...
GEO ENRICHED EXPLORATION AND AMENITY CLUSTERING FOR HOMESEEKERS AND BUSINESS
For Home Seekers And Businesses, Geo-enriched Exploration And Amenities Clustering Could Revolutionize The Way They Discover New Places To Live. Using K-Means Clustering Algorithm, We Present A Machine Learning-based Solution For Grouping A...
DATA ANALYTICS USING K-NN TECHNIQUES FOR BIG DATA
Recently, There Has Been A Significant Increase In Interest In The Field Of Big Data Analysis. This Data Is Fueled By A Multitude Of Research Challenges Related To Big And Strong Legitimate Applications, Such As Modeling, Processing, And Di...
A DATA-DRIVEN APPROACH TO PLANT SUGGESTIONS USING SOIL HEALTH AND FOOD PRICE DATA
This Research Introduces A Data-driven Framework For Suggesting Suitable Plants By Analyzing Soil Health And Food Prices. It Aims To Enhance Agricultural Decision-making By Integrating These Factors. Through Data Collection, Preprocessing,...