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Digital Resources, Digital Services, And Information Literacy In Academic Libraries: Emerging Trends, Opportunities And Challenges
Academic Librarianship Is Constantly Changing Because Of The Swift Flip Of Digital Technologies, Which Are Affecting The Development And Use Of Information Resources And Services. The Rapid Development Of Digital Resources Such As E-books,...
Energy And Exergy Performance Evaluation Of A Vapour Compression Refrigeration System Using Conventional (R134a) And TiO₂ Nano-Refrigerant
The Increasing Demand For Energy-efficient And Environmentally Sustainable Refrigeration Systems Has Led To The Exploration Of Advanced Working Fluids. This Study Presents The Energy And Exergy Analysis Of A Vapour Compression Refrigeration...
Simulation-based Comparative Analysis Of Positive Output Luo Converter Topologies For High-Gain DC–DC Applications
High-gain DC–DC Converters Play A Significant Role In Renewable Energy Systems, Electric Vehicles, Battery Charging Systems, Fuel Cells, And Other Modern Power Electronic Applications Where Efficient Voltage Conversion Is Essential. Convent...
Adaptive Tabu Search-Optimized Speed Control Of A BLDC Motor Drive For Electric Vehicle Applications
High-efficiency Propulsion Drives Are Essential For Advancing Modern Electric Vehicle (EV) Powertrains. This Paper Presents A Speed-control Architecture For Brushless DC (BLDC) Motors Using An Adaptive Tabu Search (ATS) Algorithm To Optimiz...
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...
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...
DESIGN AND IMPLEMENTATION OF AN FPGA BASED SMART TRAFFIC LIGHT CONTROL SYSTEM USING CAMERA BASED VEHICLE DETECTION
Traffic Congestion Is A Major Challenge In Rapidly Growing Urban Areas, While Conventional Fixed-time Traffic Signals Cannot Respond Effectively To Changing Traffic Density. This Paper Presents A Camera-based Smart Traffic Light Control Sys...
Efficiency Optimization Of Interleaved Boost Converters Via Dynamic Phase Management And PI Control
This Paper Presents The Design, Hardware Realization, And Experimental Validation Of A Two-phase Interleaved Boost Converter (IBC) With Dynamic (adaptive) Phase Management For Low-voltage Photovoltaic (PV) Energy Harvesting. The Converter I...
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...
MPPT Solar Street Light With IoT-Enabled Vision-Assisted Adaptive Luminous Control
Conventional Solar Street Lighting Systems Generally Operate With Fixed Illumination Levels And Non-optimal Power Extraction, Resulting In Inefficient Utilization Of Harvested Solar Energy. This Paper Presents The Modelling, Simulation And...
IoT Based Smart Public Transport Framework For Location Tracking And Seat Availability Monitoring
Public Transportation Systems Face Significant Challenges In Providing Real-time Information About Bus Location And Seat Availability To Passengers, Resulting In Long Waiting Times, Overcrowding, And Inefficient Utilization Of Transport Res...
AI-Driven Edge-Based Smart Parking System With NFC Authentication For Parking Slot Recommendation And Access Time Prediction
Efficient Parking Management Requires Intelligent, Real-time Decision-making To Minimize Search Time And Improve Space Utilization. This Paper Presents An AI-driven, Edge-based Smart Parking System Built Around A Comparative Evaluation Of R...
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...
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...
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...