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Papers tagged with "Data"
Data Security And User Privacy In Digital Library Environment : Emerging Issues, Challenges And Strategies
In Today's Times When The Conventional Libraries Are Being Replaced By Digitally Connected Service Environments, The Increase Of Collection, Processing, Storage, Analysis And Sharing Of User Information Has Expanded Beyond Imagination. Acce...
Cybersecurity Challenges In The Academic Libraries: Emerging Issues, Risks, Strategies And Institutional Responses
Academic Libraries Now Run As Networked Service Environments. Access, And Scholarly Communication, Has Been Enhanced By Integrated Library Systems, Discovery Layers, Institutional Repositories, Licensed Databases, Cloud-based Systems, Remot...
An Efficient Hybrid Cryptographic Approach For Secure Cloud Data Storage Using Cipher-Diversified Block Dispersal And Blinded RSA Key Encapsulation
Cloud Storage Has Become The Default Medium For Retaining Large Volumes Of Sensitive Records, Yet The Loss Of Physical Custody Over That Data Leaves Owners Dependent On Controls They Cannot Inspect. Single-algorithm Encryption Addresses Onl...
Research Data Management In Higher Education: The Role Of Research Support Services
The Fast Growth Of Digital Research Has Made Research Data Management (RDM) Important In Higher Education Institutions. As More Data Is Created Through Research, Managing This Data Has Become A Major Concern. In The Research Process, Things...
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...
AI-Based Early Detection Of Mental Stress Among College Students Using Machine Learning Techniques
Mental Stress Among College Students Has Become A Significant Concern Due To Academic Pressure, Social Expectations, And Lifestyle Changes. Early Identification Of Stress Levels Can Help Institutions Provide Timely Psychological Support And...
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...
Data Centers: Challenges & Solutions
Data Centers Constitute The Foundational Infrastructure Of The Modern Digital Economy, Supporting Cloud Computing, Artificial Intelligence, And Global Telecommunications. This Paper Presents A Comprehensive Examination Of Data Center Techno...
Forecasting Customer Turnover Using Machine Learning
Customer Churn Prediction Is An Essential Task For Telecommunication Companies To Reduce Customer Loss And Improve Retention.A Machine Learning System Is Proposed In This Paper To Predict Customer Churn By Using Customer Usage History. Fron...
Design And Implementation Of An Automated Load Sharing System For Electrical Distribution Transformers Using ESP8266 And Cloud Infrastructure
This Paper Introduces An Automated, Internet Of Things (IoT)-enabled Load-sharing Framework Designed To Optimize Power Distribution And Protect Distribution Transformers From Operational Degradation Caused By Overloading. Conventional Elect...
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...
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...
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...
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...