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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...
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...
COMPARATIVE SEISMIC ANALYSIS OF FRAMES WITH SHAPE MEMORY ALLOY SLIP FRICTION DAMPERS
A New Hybrid Shape Memory Alloy (SMA)-based Damper Was Developed To Address Two Major Challenges For SMA-based Seismic Control Devices: (i) Insufficient Force Capacity For Real-world Application And (ii) Relatively Low Energy Dissipation Ca...
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...
TO FORMULATE AND EVALUATE OF POLYHERBAL SCRUB SOAP
This Study Aimed To Formulate And Evaluate A Natural Polyherbal Scrub Soap As An Eco-friendly Alternative To Synthetic Exfoliating Products. The Soap Was Prepared Using Natural Exfoliants Such As Walnut Shell Powder, Coffee Granules, And Su...
Hybrid Cryptographic Techniques For Secure Cloud Data Storage: A Review Of Algorithms, Architectures And Open Research Challenges
The Migration Of Institutional Record Keeping To Third-party Cloud Infrastructure Has Made Cryptographic Protection The Principal Instrument Through Which Data Owners Retain Control Over Information They No Longer Physically Possess. Becaus...
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...
Andrographis Paniculata: Phytochemistry, Pharmacological Activities, Cardioprotective Potential, And Recent Advances
Traditional Herbal Medicines Remain An Important Source Of Healthcare, Particularly In Developing Countries. This Study Evaluated The Cardioprotective Effect Of An Aqueous Extract Of Andrographis Paniculata Against Dichlorvos-induced Cardia...
A Review On Techniques For Web 3.0 Security Through Reduction Of PAPR Of Data Streams
With Increasing Number Of Cellular Network Users, Large Data Being Generated And Limited Bandwidth Available For Systems, Efficient Multiplexing Techniques Are Needed That Use The Available Bandwidth Efficiently For IoT And Web 3.0 Systems....
A Proactive Machine Learning Based Neural-Chaos Architecture For Physical Layer Security Through PAPR Reduction
Proactive Physical Layer Security Has Evolved With The Emergence Of Web 3.0 Which Shifts Control From Centralized Cloud Servers Toward Distributed Edge Nodes, Blockchain Miners/validators, And Peer-to-peer Communication. Many Of These Nodes...
A Deep Learning Approach For Predicting Crypto Currency Prices Trends
Machine Learning And Deep Learning Models Are Being Extensively Used At The Backend Of Forecasting Crypto Prices. Many Factors, Including Changes In Regulation, Public Opinion On Social Media, Investor Actions, And Overall Global Economic T...
A Review Of Structure–Activity Relationship, Mechanism Of Action And Therapeutic Benefits Of Selected Newer Antiepileptic Drugs
Epilepsy Is A Chronic Neurological Disorder Characterized By Recurrent, Unprovoked Seizures Resulting From Abnormal Electrical Activity In The Brain. Despite The Availability Of Conventional Antiepileptic Drugs, Treatment Limitations Such A...
AI-Enabled Interactive Exam Practice Platform For Children Aged 5–12
Limited Real-time Feedback Or Lack Of Keeping Young Learners Engaged Are Some Of The Shortcomings Of Most Traditional Education Systems. In Response, We Have Created SmartPlay, An Interactive Learning Platform That Utilizes Artificial Intel...
Physical Violence Detection Using Key Framing
The Physical Violence Detection Using Key Framing App Is An AI-based Android Application Designed To Detect Violent Activities From Video Footage Using Intelligent Frame Analysis. The System Focuses On Identifying Suspicious Physical Action...