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Papers tagged with "Artificial"
A Hybrid Machine Learning Framework For Explainable Insurance Risk Assessment
Insurance Providers Increasingly Rely On Analytical Solutions To Improve Underwriting Consistency, Reduce Processing Time, And Optimize Risk Assessment. Traditional Underwriting Approaches Often Depend On Manual Review And Expert Judgment,...
A Privacy-Preserving Federated Learning Framework With Dual Explainability For Hybrid CNN–LSTM Based Anomaly Detection In IoT Network Traffic
Intrusion Detection Systems (IDS) For The Internet Of Things Face A Three-way Tension: Deep Models Detect Attacks Accurately But Behave As Opaque Black Boxes, Centralised Training Pipelines Require Raw Traffic To Be Exported From Every Devi...
“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...
SmartLife AI: An Intelligent, Inflation-Aware Personal Finance Management System — Design, Implementation, And A Roadmap Toward Predictive Financial Intelligence
Personal Financial Management (PFM) Applications Typically Report Nominal Income, Expenses, And Balances Without Indicating How Inflation Erodes Purchasing Power Or Whether A User Is On Track For Long-term Goals Such As Retirement. This Pap...
LIBRARIANS OF TOMORROW: NAVIGATING AWARENESS, ADOPTION, AND ASPIRATIONS IN THE AGE OF ARTIFICIAL INTELLIGENCE
The Fast Pace At Which Artificial Intelligence Is Being Folded Into Library Work Is Reshaping Both Information Management And The Librarian's Professional Role. This Study Looks At How Librarians Perceive AI — Their Awareness Of It, How Muc...
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...
APPLICATIONS OF SMART TECHNOLOGIES IN HEALTHCARE: THE ROLE OF AI AND MACHINE LEARNING
This Paper Examines The Role Of AI And ML In Enhancing Patient Care Through Faster Decision-making, Personalized Treatments, And Proactive Healthcare Delivery. Key Applications Include Predictive Analytics, Medical Imaging Diagnostics, Natu...
A Comprehensive Review On Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
AI-Based Early Detection Of Mental Stress Among College Students Using Machine Learning Techniques
Mental Stress Among College Students Has Become A Significant Concern Due To Academic Pressure, Social Expectations, And Lifestyle Changes. Early Identification Of Stress Levels Can Help Institutions Provide Timely Psychological Support And...
Regulating Deepfakes In India: Balancing Technological Innovation, Privacy Rights And Freedom Of Expression
Deepfake Technology Powered By Artificial Intelligence Has Emerged As One Of The Most Influential Developments In The Digital Age. By Creating Realistic But Manipulated Audio, Video And Image Content Deepfakes Have Opened New Possibilities...
Artificial Intelligence In Physical Education: Opportunities, Challenges, And Future Directions
Artificial Intelligence (AI) Is Transforming Physical Education By Improving Teaching, Fitness Assessment, Sports Performance Analysis, And Health Monitoring Through Technologies Such As Machine Learning, Computer Vision, Wearable Devices,...
Federated Learning And Explainable Artificial Intelligence For Intrusion Detection In IoT Networks: A Review
The Rapid Enlargement Of The Internet Of Things Has Turned Billions Of Weakly Protected Devices Into An Attractive Attack Surface, And Machine-learning Intrusion Detection Has Become The Default Defensive Answer. Three Difficulties, However...
A Review On Machine Learning Enabled MIMO Systems For Capacity Enhancement In Wireless Networks
Due To Increasing Number Of Users And Multimedia Applications, Multiple Input, Multiple Output (MIMO) Systems Have Become Indispensable From Wireless Technology. The Benefit Of MIMO Systems Is Increase In The Channel Capacity At Low Bandwid...
Brain Tumor Detection From MRI Scans Using Convolutional Neural Networks
Brain Tumors Are Among The Most Life-threatening Neurological Disorders That Require Early And Accurate Diagnosis To Improve Patient Survival And Treatment Outcomes. Magnetic Resonance Imaging (MRI) Is Widely Used For Detecting Brain Abnorm...
Brain Tumor Detection From MRI Scans Using Convolutional Neural Networks: A Review
Brain Tumor Detection Is One Of The Most Critical Applications Of Artificial Intelligence (AI) In Medical Image Analysis. Early And Accurate Identification Of Brain Tumors Plays A Vital Role In Improving Patient Survival Rates And Assisting...