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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...
A Comparative Study Of Machine Learning Algorithms And Response Surface Methodology For Energy Prediction And Optimization In Conveyor Systems
Conveyor Belts Are Fundamental To Any Modern Industrial Or Material-handling Facility, But Energy Efficient Operation Of A Conveyor System Is Essential For Decreasing Operational Cost. This Paper Proposes A Comparative Study Of Energy Optim...
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...
An Optimized Deep Learning Model For Churn Rate Prediction
Data Science And Machine Learning Are Being Used Extensively For Business Analytics. One Of The Major Applications Happens To Be Estimating Churn And Attrition Rates. In Today’s Competitive Market Landscape, Retaining Customers Is As Crucia...
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...
SYNERGISTIC EFFECT OF BINARY AGRO-ASH BLENDS AND NYLON FIBER REINFORCEMENT ON THE PERFORMANCE OF SUSTAINABLE CONCRETE
- The The Depletion Of Natural Resources And The High Carbon Footprint Associated With Conventional Portland Cement Production Have Intensified The Search For Sustainable Alternatives In The Construction Industry. This Study Investigates Th...
STRENGTH ASSESSMENT OF FIBER-MATRIX COMPOSITE ENHANCED WITH DUAL MINERAL ADMIXTURES
Cement The Heavy Reliance On Portland Cement In Infrastructure Development Poses Severe Environmental Threats Due To Massive Carbon Dioxide Emissions, Alongside Escalating Economic Costs. To Address These Challenges, This Study Evaluates Th...
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...
Cloud Cost Optimizer: An Intelligent Multi-Cloud Cost Management System
Cloud Computing Offers Flexible And Scalable Re-sources, But Uncontrolled Consumption Often Leads To Escalating Costs. Organizations Frequently Face Unexpected Cloud Bills Due To Forgotten Development Instances, Oversized VM Types, Unattach...
E-COMMERCE WEBSITE WITH EJS
Design And Develop A Scalable E-commerce Website With Robust User Authentication And Payment Gateway Integration, Providing A Seamless And Secure Shopping Experience For Customers. This E-commerce Website Provides A Secure And User-friendly...
Adaptive Lightweight Encryption-Based Secure UART Architecture For IoT Devices
The Rapid Growth Of IoT Applications Requires Secure, Energy-efficient, And Reliable Communication For Resource-constrained Devices. UART Is Widely Used In IoT Systems Due To Its Simplicity And Low Hardware Cost, But Conventional Secure UAR...
COMPARATIVE STUDY ON THE STRUCTURAL PERFORMANCE OF M25 AND M30 GRADE CONCRETE WITH INDUSTRIAL SLAG AND SISAL FIBER INTEGRATION
The Rapid Growth Of The Construction Sector Has Intensified The Demand For Sustainable Alternatives To Natural Aggregates And Traditional Concrete Additives. This Experimental Study Evaluates The Structural Feasibility Of Incorporating Iron...
Speech Stress Detection In Marathi And SUSAS Databases Using Weight-Optimized Neural Networks
Stress Profoundly Alters Human Cognitive And Physiological States, Making Early And Automated Detection A Critical Technological Goal [1]. This Study Presents A Streamlined Speech Emotion Recognition (SER) System Engineered For Accurate Str...
An Optimized Neuro Fuzzy System For Predictive Maintenance For Smart Manufacturing Systems
Smart Manufacturing Systems Represent The Modern Evolution Of Industrial Automation Where Machines, Sensors, Communication Technologies, And Intelligent Algorithms Work Together To Improve Productivity And Operational Efficiency. Industries...
Smart Traffic Management System: An AI-Powered IoT Framework For Urban Mobility Optimization
Urban Traffic Congestion Imposes Significant Economic, Environmental, And Social Burdens On Modern Cities. Traditional Fixed-timing Traffic Control Systems Lack The Adaptability To Handle Dynamic Traffic Flows, Resulting In Inefficiencies,...