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Papers tagged with "Rr"
Representations Of Contemporary Indian Social Issues In Chetan Bhagat’s Select Novels
Contemporary Indian English Fiction Reflects The Social, Cultural, Educational, And Political Changes Taking Place In India. Chetan Bhagat Is One Of The Popular Contemporary Indian Novelists Whose Works Explore The Aspirations And Struggles...
Synthesis And Characterization Of Tween 80-Modified Hydrophobic Silica Coatings For Corrosion Protection Of Steel
In The Present Study, Hydrophobic Silica Coatings Modified With Tween 80 Were Fabricated On Steel Substrates Using The Sol-gel Method And Evaluated For Their Structural, Surface, Thermal, Mechanical, And Anticorrosion Properties. Methyltrim...
A STUDY ON EMERGING ONLINE GROCERY PLATFORMS: AN OVERVIEW OF OPPORTUNITIES AND CHALLENGES IN COIMBATORE CITY
Modern Technology Has Played A Vital Role In Transforming The Retail Industry, Resulting In The Emergence Of Online Grocery Platforms. These Platforms Provide Businesses And Consumers With Convenience, Market Access, Efficient Transactions,...
EFFECT OF SOIL-STRUCTURE INTERACTION ON TORSIONAL IRREGULARITY IN A MULTISTOREY BUILDING: AN ETABS RESPONSE-SPECTRUM STUDY
Soil-structure Interaction (SSI) Modifies The Effective Boundary Conditions Of Multistorey Buildings Through Foundation Translation, Rocking And Torsional Flexibility. These Effects Are Especially Important In Plan-irregular Reinforced-conc...
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...
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...
Design And FPGA Implementation Of A Secure UART Architecture Integrating AES-128 Encryption And SECDED Error Correction
This Paper Presents An FPGA-oriented Secure UART Architecture Combining AES-128 Confidentiality With SECDED Protection Against Transmission Faults. Sixteen 8-bit Plaintext Bytes Are Buffered Into A 128-bit AES Block, Encrypted, And Protecte...
Analysis on Behavior of High Rise Irregular R.C. Structure Against Influence of Strong Strength of Wind Load
Rapid Urbanisation And Architectural Demand Have Increased The Use Of Slender High-rise Reinforced-concrete (RC) Buildings With Setbacks, Re-entrant Corners, Non-rectangular Plans, Twisting Forms, Unequal Stiffness Distributions, And Other...
A Review On Machine Learning Enabled MIMO Systems For Capacity Enhancement In Wireless Networks
Due To Increasing Number Of Users And Multimedia Applications, Multiple Input, Multiple Output (MIMO) Systems Have Become Indispensable From Wireless Technology. The Benefit Of MIMO Systems Is Increase In The Channel Capacity At Low Bandwid...
A Comprehensive Study Of Machine Learning (ML) Algorithms And Performance Evaluation: Enhancing The Credit Card Fraud Detection
Credit Card Companies Must Be Able To Identify Fraudulent Credit Card Transactions So That Clients Are Not Charged For Items They Did Not Purchase. Previously, Many Machine Learning Approaches And Classifiers Were Used To Detect Fraudulent...
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 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...
Unlocking Potential Merits Of Multidisciplinary Curriculum Design In Primary Education: An Holistic Approach Towards Curious Budding Minds
The Integration Of A Multidisciplinary Curriculum In Primary Education Holds Transformative Potential In Nurturing Curious, Creative, And Critically Thinking Young Learners. This Study Explores The Merits Of A Holistic, Interdisciplinary Ap...
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...