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Papers tagged with "Ar"
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...
Enhanced Decentralised Cybersecurity For Medical Data Sharing Using Digital Signature
N Infrastructure Build In The Edge Computing Platform Which Is Reliable To Challenge The Commercial And Non-commercial IT Development Communities Of Data Streams In High Dimensional Data Cluster Modeling. This Project Research Is Mainly F...
DESIGN OF A 5-STAGE PIPELINED RISC-V PROCESSOR
This Paper Presents A Modified Design Of RISC-V RV32I 32-bit Microprocessor. The RISC-V Processor Consists Of A Flexible 5 Stage Pipelined Processor With Certain Techniques For Hazard Management. The Processor Consists Of 6 Blocks- Fetch Bl...
NUMERICAL SIMULATION OF AlN-BASED TRIANGULAR FLEXURAL ACCELEROMETER
Flexible, Miniaturized, And Lead-free Piezoelectric MEMS Accelerometers Are Increasingly Required In Aerospace, Mechatronics, And Structural Health Monitoring Applications. In This Work, A Flexural-type MEMS Piezoelectric Accelerometer Is D...
SMART TOUCH-BASED ASSISTIVE COMMUNICATION GLOVE FOR SPEECH-IMPAIRED PATIENTS
This Project Presents A Modified And Improved Version Of A Wearable Communication Glove Designed For Speech-impaired Individuals. An Existing Gesture-glove Concept Was Analyzed And Redesigned To Improve Reliability, Usability, And Healthcar...
Intelligent Learning Outcome Prediction Using Machine Learning Techniques
Student Performance Prediction Is An Important Application Of Educational Data Mining That Helps Institutions Identify Students Who May Require Academic Support At An Early Stage. This Study Proposes A Classification-based Approach To Predi...
ADVANCING SPEECH EMOTION RECOGNITION VIA SEMANTIC AND PARALINGUISTIC FEATURE FUSION
Speech Emotion Recognition Is An Essential Component For Applications Like Education And Human-computer Interaction [1]. While Deep Neural Networks (DNNs) Have Advanced The Field, Many Studies Ignore The Semantic Information Present Within...
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...
IOT BASED HEART DEFECT MONITORING SYSTEM USING ECG
Smart Healthcare Is Important For People Who Need Continuous Monitoring Which Cannot Be Provided Outside Hospitals. It Is Also Important At Rural Areas Or Villages Where Nearby Clinics Can Be In Touch With City Hospitals About Their Patien...
Hybrid Machine Learning Model For Multi-Diseases Diagnosis
Co-occurring Chronic Conditions And Complex Multi-disease Pathologies Represent An Escalating Global Public Health And Socioeconomic Crisis. In Rapidly Growing Urban Patient Populations, Overlaps Between Metabolic, Cardiovascular, And Neuro...
BIKE PRICE PREDICTION SYSTEM USING MACHINE LEARNING
The Valuation Of Used Consumer Assets, Particularly Pre-owned Two-wheeled Vehicles, Remains A Major Secondary-market And Socioeconomic Challenge. In Rapidly Developing Urban Transport Ecosystems, Frequent Fluctuations In Marketplace Deman...
COMPARATIVE ANALYSIS OF MACHINE LEARNING MODELS OF DIABETES PREDICTION
The Diabetes Mellitus Is One Of The Fastest-growing Chronic Health Conditions Globally, Affecting Hundreds Of Millions Of Individuals And Imposing Significant Burdens On Healthcare Systems Worldwide. Early Identification Of At-risk Indiv...
STRENGTH ENHANCEMENT OF CONCRETE REINFORCED WITH POLYPROPYLENE FIBERS OF VARIED GEOMETRIES AND DENSITIES
The Rapidly Increasing Volume Of Industrial Waste Material Poses A Severe Threat To Environmental Sustainability And Ecological Balance. Furthermore, The Commercial Production Of Synthetic Fibers Contributes Significantly To Global Warming...
AI BASED WIRELESS CHARGING STATION FOR ELECTRICAL VEHICLE
As The Production Of Electric Vehicles (EVs) Has Significantly Increased In Recent Years, Driven By The Need To Reduce Carbon Emissions And Promote Environmentally Friendly Transportation. This Transition From Traditional Internal Combustio...
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...