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Papers tagged with "Eas"
“Reasoning Ability And Creative Thinking Among Generation Z College Students In The AI Era: The Mediating Role Of Self-Efficacy”
Generative Artificial Intelligence Has Rapidly Entered Higher Education, Creating New Opportunities For Idea Generation And Problem-solving While Also Raising Concerns About Cognitive Offloading And Dependence On Automated Support. The Pres...
An Interpretable Deep Learning Framework For MRI-Based Alzheimer’s Disease Detection And Automated Clinical Reporting
Alzheimer’s Disease (AD) Is A Progressive Neurodegenerative Disorder That Affects Memory, Cognitive Abilities, And Overall Brain Function, Particularly In The Aging Population. Early And Reliable Diagnosis Is Essential For Timely Interventi...
Enhanced Decentralised Cybersecurity For Medical Data Sharing Using Digital Signature
N Infrastructure Build In The Edge Computing Platform Which Is Reliable To Challenge The Commercial And Non-commercial IT Development Communities Of Data Streams In High Dimensional Data Cluster Modeling. This Project Research Is Mainly F...
Hybrid Machine Learning Model For Multi-Diseases Diagnosis
Co-occurring Chronic Conditions And Complex Multi-disease Pathologies Represent An Escalating Global Public Health And Socioeconomic Crisis. In Rapidly Growing Urban Patient Populations, Overlaps Between Metabolic, Cardiovascular, And Neuro...
AI-Powered Diagnosis Of Vision-Threatening Ocular Conditions Using Clinical Data Analytics
Vision-threatening Ocular Diseases Such As Diabetic Retinopathy, Glaucoma, Cataract, Age-related Macular Degeneration (AMD), Hypertensive Retinopathy And Pathological Myopia Are Leading Causes Of Preventable Blindness Worldwide. Conventiona...
AGRINOVA APPLICATION USING AIML
Agriculture Is Very Important In The Economic Development And Food Security Of Most Nations, However, It Has Been Experiencing Major Threats Like Fluctuating Weather, Crop Infections And Lack Of Accessibility To Professional Agricultural Ad...
AI Cardiologist: Advancements In Supervised Learning For Heart Disease Prediction
Cardiovascular Disease (CVD) Continues To Pose A Significant Global Health Challenge, Demanding Innovative Approaches For Early Detection And Prevention. This Paper Presents An AI Cardiologist System That Leverages Supervised Machine Learni...
A Study On Occupational Health And Safety Practices At Sri Sai Tubes And Pipes
Occupational Health And Safety Practices Play A Vital Role In Ensuring Employee Safety, Improving Productivity, And Maintaining A Healthy Work Environment In Industrial Organizations. This Study Focuses On Analyzing The Occupational Health...
A STUDY ON EMPLOYEE JOB SATISFACTION WITH SPECIAL REFERENCE TO RICH DAIRY PRODUCTS (INDIA) PRIVATE LIMITED, NAMAKKAL.
This Study Examines The Level Of Employee Job Satisfaction At Rich Dairy Products (India) Private Limited, Namakkal. Employee Job Satisfaction Is A Critical Determinant Of Organizational Success, Affecting Productivity, Employee Retention,...
A STUDY ON EMPLOYEE WELFARE MEASURES WITH SPECIAL REFERENCE TO RICH DAIRY PRODUCTS INDIA PRIVATE LIMITED, NAMAKKAL
This Study Examines Employee Welfare Measures And Their Impact On Employee Satisfaction And Organizational Effectiveness At Rich Dairy Products (India) Private Limited, Namakkal. Employee Welfare Is An Important Component Of Human Resource...
A STUDY ON EMPLOYEE WELFARE AND JOB SATISFACTION AT KMB GRANITES PVT LTD
Employee Welfare And Job Satisfaction Are Essential Components Of Organizational Success And Employee Development In Modern Industries. Employee Welfare Includes All The Services, Facilities, And Benefits Provided By Employers To Improve Th...
Enhancing The Recommendation Model For Disease Prediction Based On User Symptoms Using Machine Learning
Healthcare Is One Of The Most Important Research Fields With The Rapid Improvement Of Technology And Increase In Data. It Is Difficult To Handle Huge Amounts Of Patient Data. Big Data Analytics Can Be Used To Handle Such Data. There Are A L...
Explainable Deep Neural Network Based Multiclass Classification Of Tomato Leaf Disease
Tomato Leaf Diseases Pose A Persistent Challenge To Sustainable Crop Production, Requiring Accurate And Computationally Efficient Diagnostic Solutions For Real-time Field Applications. This Study Proposes A Hybrid Deep Learning Framework Th...
Explainable Ensemble Machine Learning Framework For Heart Disease Prediction
Heart Disease Is One Of The Leading Causes Of Death Worldwide, And Early Prediction Plays An Important Role In Reducing Severe Health Risks. Traditional Diagnostic Methods Such As ECG, Blood Tests, And Imaging Require Expert Interpretation,...
PLANT LEAF DISEASE DETECTION USING DEEP LEARNING
The Web-Based Plant Disease Detection And Fertilizer Recommendation System Presents A Web-based System For Detecting Plant Leaf Diseases. Users Can Upload Leaf Images Through A Simple Interface For Analysis.An Image Enhancement Module Impro...