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Power Quality Improvement In Distribution Systems Using A Unified Power Quality Conditioner Based On A PSO-Tuned Fractional Order PI Controller
The Increasing Penetration Of Nonlinear Loads, Power-electronic Converters And Intermittent Renewable Energy Sources Has Intensified Power Quality (PQ) Disturbances Such As Voltage Sag, Swell And Current Harmonics In Modern Distribution Net...
Dual-Loop PI–Hysteresis Control Of A Single-Phase Bridgeless AFE Rectifier For Power-Factor-Corrected CC–CV Battery Charging
Conventional Diode- And Thyristor-based Rectifiers Draw Non-sinusoidal Current, Producing Poor Power Factor And Harmonic Distortion Exceeding IEEE-519 Limits. This Paper Presents The Design, Modelling, And Closed-loop Simulation Of A Single...
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...
Performance Study Of Diesel Engine Using Pongamia Biodiesel
Rising Environmental Pollution, Ever-increasing Energy Demand, And The Depletion Of Fossil Fuel Reserves Have Driven The Search For Alternative And Sustainable Fuels For Internal Combustion Engines. Biodiesel, A Renewable, Biodegradable, An...
Embedded Edge-AI Framework For Autonomous UAV-Based Human Detection And Remote Alerting Using ESP32-S3 Flight Control And ESP32-CAM Vision
Autonomous Unmanned Aerial Vehicles (UAVs) Equipped With On-board Artificial-intelligence Inference Are Increasingly Used For Surveillance And Monitoring Tasks That Require Rapid, Low-latency Decisions Without Continuous Human Supervision....
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...
ANALYSIS OF AN UNSYMMETRICAL TALL STRUCTURE CONSIDERING FLOATING COLUMN CONSIDERING LATERAL FORCES USING ANALYSIS TOOL STAAD.PRO
Floating Columns Are One Of The Important Aspects Of Multi-storey Structures Due To Their Various Advantages Thus Seem To Be Unavoidable. Floating Columns Are Generally Not Found Reliable In Seismic Prone Areas. This Research Is Followed To...
Defect Detection In Printed Board Circuit Using Image Processing
A Printed Circuit Board Without Connecting With Any Components Called As A Bare PCB. Consider A PCB As A Basic Part Which Has Been Settled With More Electronic Units. In Order To Display The Manufacturing Process, The Drawbacks Have Been Ta...
A COMPREHENSIVE REVIEW WITH SPECIAL EMPHASIS ON NEEM, TURMERIC AND CLOVE BASED ANTIFUNGAL DUSTING POWDER FOR CUTANEOUS CANDIDIASIS
Causes Discomfort, Redness, And Itching. Because Of Its Broad-spectrum Action And Capacity To Prevent The Synthesis Of Fungal Cell Membranes. Ketoconazole, An Imidazole Antifungal Agent, Is Frequently Used To Treat Such Infections. ‘Anti-fu...
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,...
TOPOGRAPHY-INDUCED SPATIAL VARIABILITY IN THE SEISMIC ANALYSIS OF LONG-SPAN ARCH BRIDGES: A SYSTEMATIC REVIEW
Long-span Arch Bridges Are Frequently Selected For Deep Valleys And Canyon Crossings, Yet The Same Topography That Makes The Structural Form Attractive Can Substantially Modify Earthquake Input At The Foundations. This Review Synthesizes Re...
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...