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Papers tagged with "Time"
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...
ProcureAi: An AI-Driven Procurement Spend Intelligence Platform For Automated Anomaly Detection, Supplier Optimisation And Predictive Expenditure Forecasting
- Enterprises Routinely Lose Between Three And Eight Percent Of Addressable Procurement Spend To Fragmentation, Duplicate Payments, Maverick Buying, Contract Price Leakage, And Unmanaged Tail Spend. This Paper Presents ProcureAI, A Full-sta...
Real-Time Speech Emotion Recognition Using Lightweight Convolutional Neural Network
Speech Emotion Recognition (SER) Allows Machines To Understand Human Emotional States From Their Speech, Enabling Applications In Human-computer Interaction, Call Center Analytics, And Mental Health Monitoring. Traditional Deep CNNs Achieve...
A Comprehensive Review On Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
Analysis Of High-Rise Building By Comparing Footing With Base Isolation And Without Base Isolation Using Etabs
High-rise Buildings Founded On Conventional Isolated, Combined, Or Raft Footings Transfer Earthquake Motion Directly Into The Superstructure, Whereas A Base-isolation Layer Modifies This Load Path By Introducing Controlled Lateral Flexibili...
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...
An Optimized Deep Learning Approach For Sentiment Classification Of Social Media Text Data
Of Late, Big Data And Big Data Analytics Has Fund Applications In Diverse Fields. Social Media And Allied Applications Is One Such Domain For Research, Where Artificial Intelligence Has Shown Unprecedented Impact. In This Paper A Mechanism...
A Comprehensive Review On Contemporary Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
FACIAL EXPRESSION RECOGNITION IN CLASSROOMS USING DEEP LEARNING
This Project Builds A System That Checks Student Attention In Real Time. It Uses A Camera Feed To Detect Faces, Track Eyes, And Read Basic Emotions. The System Works With A Single Student Or Many Students At The Same Time. It Also Supports...
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...
REAL-TIME VEHICLE LOCALIZATION AND VELOCITY MONITORING USING SMARTPHONE SENSORS
This Paper Presents A Real-time Vehicle Localization And Velocity Monitoring System Using Smartphone Sensors. The System Utilizes GPS, Accelerometer, And Gyroscope Data To Estimate Vehicle Position And Speed Without Requiring Dedicated Hard...
A Study On Time Management In Logistics Operations And Its Impact On Service Levels
This Research Investigates Time Management Strategies Within Logistics Operations And Their Influence On Service-level Outcomes In A Manufacturing Environment. Logistics Efficiency Depends Heavily On How Organizations Coordinate Transportat...
AI-Powered Intelligent Framework For Detection And Prevention Of Cybersecurity Attacks Using Machine Learning Algorithms
The Rapid Growth Of Digital Technologies Has Substantially Increased Exposure To Cybersecurity Threats Including Malware, Phishing, Ransomware, And Unauthorized Network Intrusions. Traditional Signature-based Security Systems Are Inherently...
Grozo: An AI-Powered Online Grocery Delivery System
Widespread Smartphone Adoption And Ubiquitous High-speed Connectivity Have Collectively Reshaped How Consumers Discover And Purchase Goods, Driving Sustained Migration Toward Digital Retail Channels Across All Product Categories. The Grocer...