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Papers tagged with "Computing"
TRANSGUARD-RT: A REAL-TIME TRANSFORMER-DRIVEN INTRUSION DETECTION SYSTEM USING LIVE NETWORK TRAFFIC ANALYTICS
The Rapid Expansion Of Internet-based Communication And Interconnected Digital Infrastructures Has Significantly Increased Exposure To Advanced Cyber Threats, Including Malware Infiltration, Phishing Attempts, Denial-of-service Attacks, And...
Smart Cybersecurity Intrusion Detection & Prevention System Using AI (SecurityHub)
This Project Examines The Combination Of Network-level Security And Physical Biometric Verification Within A Unified, Hardware-accelerated Edge Environment. Conventional Security Setups Frequently Struggle With Operational Slowdowns, Primar...
A Review On Estimating Cloud Performance Metrics Using Machine Learning And Deep Learning Models
Data Driven Cloud Computing Model Have Resulted In Unprecedented Paradigm Shifts In Cloud Application Development. Many Applications Have Found Data Driven Cloud Computing Models Indispensable Due To The Need For High Performance Computing....
BLOCKCHAIN-BASED MULTI-USER DYNAMIC VERIFIABLE SEARCHABLE ENCRYPTION FOR SECURE DATA STORAGE AND QUERY ON MALICIOUS CLOUD SERVER
The Increasing Elderly Population Has Led To A Growing Demand For Intelligent Healthcare Monitoring Systems. Falls Are One Of The Major Causes Of Injury And Mortality Among Elderly Individuals. This Paper Proposes An IoT-based Remote Monito...
Advanced Gas Thermal Sensing System
The Advanced Gas Thermal Sensing System (AGTSS) Is An IoT-enabled Industrial Safety Monitoring Platform Designed To Detect Hazardous Gases And Thermal Anomalies In Real Time. Industrial Environments Such As Chemical Plants, Manufacturing Fa...
EcoVision: A Cloud-Based Waste Management System With RPA Automation
Urban Waste Management Systems Face Challenges Such As Inefficient Route Planning, Delayed Monitoring, High Operational Costs, And Increased Carbon Emissions. EcoVision Is An Intelligent Waste Management Platform Designed To Optimize Urban...
Machine Learning Approaches For Intelligent Intrusion Detection Systems In Cloud Networks
Cloud Computing Has Become A Fundamental Platform For Storing Data And Running Applications Due To Its Scalability, Flexibility, And Cost Efficiency. However, The Rapid Growth Of Cloud Environments Has Also Increased Security Threats Such A...
FPGA Implementation Of Brain-Inspired Neuromorphic Computing Circuits
Brain-inspired Neuromorphic Computing Has Emerged As An Efficient Approach For Implementing Cognitive And Learning-based Systems With Low Power Consumption And High Parallelism. Unlike Conventional Computing Architectures, Neuromorphic Syst...
Multimodal Emotion Recognition Using Visual-Text Fusion With ResNet-50 And SVM On The MELD Dataset
This Paper Presents A Multimodal Emotion Recognition Framework That Integrates Visual And Textual Modalities To Improve The Accuracy And Robustness Of Emotion Classification Systems. The Visual Modality Is Processed Using A Pre-trained ResN...
A CONCEPTUAL FRAMEWORK FOR MULTI-OBJECTIVE TASK SCHEDULING IN CLOUD ENVIRONMENT
Cloud Computing Ia Dominant Model Which Provides Many Computing Services Via Internet. Cloud Performance Can Be Optimized By Using Efficient Task Scheduling Models Which Determines How The Available Virtualized Resources Are Mapped With The...
AI-Powered Urban Community Service Hub: A Smart Complaint And Society Management System
The Swift Urban Growth Of Cities Has Led To A Significant Need For Smart Digital Solutions That Can Effectively Oversee Housing Society Activities.The AI-Driven Urban Community Service Centre Is A Multipurpose, Mobile App That Unites Owners...
IOT-Based Bridge Health Monitoring System
Modern Bridges Need Regular And Careful Monitoring To Stay Safe And In Good Working Condition. Traditional Ways Of Checking Bridges Can Be Slow, Expensive, And Often Happen After Damage Has Already Started. This Paper Talks About A Smart Sy...
Secure Authentication Frame Work With Edge Computing For Real Time Patient Health Monitoring In Iomt
As Healthcare Increasingly Embraces Cloud-based Technologies, It Faces Critical Issues Such As Transmission Delays And Heightened Security Risks Due To Centralized Data Storage. Traditional Cloud Setups Often Fall Short In Delivering Real-t...
Privacy Preserving Fine Grained Data Sharing With Dynamic Service For The Cloud Edge IoT
An Integration Of Cloud Computing, Edge Nodes, And IoT Devices Has Facilitated Intelligent And Timely Applications Based On Big Data. Securing The Sharing Of Sensitive Information In Such Settings Continues To Be A Challenge Due To Privacy...
DESIGN AND ANALYSIS OF EFFICIENT OF 32 BIT APPROXIMATE MULTIPLIER COMPRESSORS
Approximate Computing Has Become An Emerging Technique To Reduce Power Consumption. In Numerous Applications, Multiplication Is A Crucial Operation, Designing It For Approximation Is Effective In Optimizing System Performance. In This Paper...