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Papers tagged with "Ys"
A Review On Machine Learning And Deep Learning Models For Forecasting Renewable Energy Production
The Transition Towards Renewable Energy Is No Longer Just An Option But A Necessity In Addressing The Growing Challenges Of Climate Change, Environmental Degradation, And Energy Security. Fossil Fuels, Which Currently Dominate Global Energy...
Design And Physical Implementation Of An INT8 Output-Stationary Systolic Array CNN Accelerator For TinyML Inference Using Open-Source SKY130 PDK And OpenLane EDA Flow
This Paper Presents The Design And Complete Physical Implementation Of A 4×4 INT8 Output-stationary Systolic Array Accelerator For TinyML Convolutional Neural Network (CNN) Inference, Targeting Edge Vision Applications Such As Image Classif...
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....
Bibliometric Studies In Library And Information Science: A Review Of Methods, Applications, And Emerging Trends
Bibliometrics Has Become An Important Research Approach For Examining The Growth, Structure, Visibility, And Development Of Scholarly Literature. In Library And Information Science (LIS), Bibliometric Techniques Are Increasingly Used To Stu...
SEISMIC PERFORMANCE OF VARIOUS STRUCTURAL CONFIGURATIONS FOR RC BUILDING ON SLOPED TERRAIN CONSIDERING SOIL-FOUNDATION-STRUCTURE APPROACH
With The Population Increase Necessitates The Construction Of Multi-storey Buildings On Sloping Terrain. Due To The Lack Of Plain Land In Hilly Regions, Most Of The Structures Are Built On The Slopes Of Hills With Irregular Structural Layou...
SCHEDULE IMPACT ASSESSMENT OF DELHI METRO UNDERGROUND PROJECT USING PRIMAVERA SOFTWARE
Arranging And Scheduling Are The Fundamental In The Enormous Foundation Project Like Street And Extension Development, Metro Rail Projects As These Are Proposed For Public Government Assistance. These Activities Are Have Various Partners An...
Design, Development, And Experimental Validation Of An Automatic Solar Photovoltaic Panel Cleaning System Under Real Outdoor Conditions
Solar Energy Is One Of The Most Widely Utilized Renewable Energy Sources For Electrical Power Generation. However, The Performance Of Photovoltaic (PV) Panels Is Significantly Affected By The Accumulation Of Dust, Bird Droppings, And Other...
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,...
Analysis Of High-Rise Building By Comparing Footing With Base Isolation And Without Base Isolation Using Etabs
High-rise Buildings Founded On Conventional Isolated, Combined, Or Raft Footings Transfer Earthquake Motion Directly Into The Superstructure, Whereas A Base-isolation Layer Modifies This Load Path By Introducing Controlled Lateral Flexibili...
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...
Embedded-Based Pest Detection And Prevention System For Smart Agriculture
Agricultural Productivity Is Significantly Affected By Pest Infestations, Leading To Substantial Crop Losses And Increased Dependence On Chemical Pesticides. Early Detection And Timely Prevention Of Pests Are Essential For Improving Crop Yi...
A Review On Machine Learning And Deep Learning Models For Identifying Potentially Extremist And Radicalized Content
Machine Learning Has Revolutionized Churn Prediction, Enabling Organizations To Anticipate And Mitigate Risks Effectively. By Leveraging Historical Data And Advanced Algorithms, Businesses Can Identify At-risk Customers Or Employees And Tak...
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...
BRIDGING LEARNING GAPS THROUGH STEM EDUCATION
STEM Education Is Applied To Raise Individuals Having 21st-century Skills Based On The Integration Of Science, Technology, Engineering, And Mathematics. This Paper Aims To Present The Overall Effect Of STEM Education On Students’ Academic A...