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A Privacy-Preserving Federated Learning Framework With Dual Explainability For Hybrid CNN–LSTM Based Anomaly Detection In IoT Network Traffic
Intrusion Detection Systems (IDS) For The Internet Of Things Face A Three-way Tension: Deep Models Detect Attacks Accurately But Behave As Opaque Black Boxes, Centralised Training Pipelines Require Raw Traffic To Be Exported From Every Devi...
EXPERIMENTAL STUDY ON AUTOMATIC SOLAR TRACKING OF PV PANELS USING MECHATRONICS SYSTEMS
Solar Tracking Systems Can Greatly Enhance The PV Energy Collection Efficiency, But Fixed Panel Positioning And Ambient Thermal Stress Can Decrease The Total PV Energy Conversion Efficiency. In This Paper, A Dual Axis Solar Tracking And Act...
A Comparative Study Of Machine Learning Algorithms And Response Surface Methodology For Energy Prediction And Optimization In Conveyor Systems
Conveyor Belts Are Fundamental To Any Modern Industrial Or Material-handling Facility, But Energy Efficient Operation Of A Conveyor System Is Essential For Decreasing Operational Cost. This Paper Proposes A Comparative Study Of Energy Optim...
Federated Learning And Explainable Artificial Intelligence For Intrusion Detection In IoT Networks: A Review
The Rapid Enlargement Of The Internet Of Things Has Turned Billions Of Weakly Protected Devices Into An Attractive Attack Surface, And Machine-learning Intrusion Detection Has Become The Default Defensive Answer. Three Difficulties, However...
Embedded-Based Pest Detection And Prevention System For Smart Agriculture
Agricultural Productivity Is Significantly Affected By Pest Infestations, Leading To Substantial Crop Losses And Increased Dependence On Chemical Pesticides. Early Detection And Timely Prevention Of Pests Are Essential For Improving Crop Yi...
EXPOAIR: Environmental Exposure Prediction & Observation For Air Intelligence And Reporting
EXPOAIR (Environmental EXposure Prediction & Observation For Air Intelligence And Reporting) Is An Intelligent Air Quality Monitoring And Prediction Platform Developed To Provide Real-time Environmental Awareness And Personalized Exposure I...
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...
Smart Traffic Management System: An AI-Powered IoT Framework For Urban Mobility Optimization
Urban Traffic Congestion Imposes Significant Economic, Environmental, And Social Burdens On Modern Cities. Traditional Fixed-timing Traffic Control Systems Lack The Adaptability To Handle Dynamic Traffic Flows, Resulting In Inefficiencies,...
IOT-BASED WATER QUALITY MONITORING SYSTEM FOR SUSTAINABLE RESOURCE MANAGEMENT
Water Is A Vital Natural Resource, And Its Quality Directly Impacts Human Health, Agriculture, And Ecosystem Sustainability. Traditional Water Quality Monitoring Methods Are Often Time-consuming, Expensive, And Limited In Spatial And Tempor...
Design Of Spatially Coupled Turbo Codes For Error Detection And Correction In Wireless Networks
The Internet Of Things Framework Has Seen A Rapid Change In Terms Of The Applications And Users Worldwide. However, The Need For Trustworthiness To Satisfactory Quality Of Service Is Of Utmost Importance Keeping In Mind The Nature Of Data T...
Design And Implementation Of Coupled Turbo Codes With Code Block Coupling For Error Detection And Correction In Wireless Networks
The Internet Of Things Framework Has Seen Swift Transformations Regarding Its Applications And Global User Base. The Necessity For Reliability In Ensuring Excellent Service Quality Is Paramount, Considering The Characteristics Of Data Trans...
IoT Based Real Time Crop Irrigation And Energy Efficient System
Conventional Irrigation Methods Often Result In Excessive Water Use, Energy Waste, And Inadequate Fertilizer Management, Despite The Fact That Agriculture Is Crucial To Economic Prosperity. To Solve These Problems, This Study Proposes An In...
Inductive Based Industrial Automation
Unanticipated Machinery Failures In Industrial Environments, Arising From Overheating, Excessive Vibration, Electrical Faults, Or Fire, Can Result In Severe Equipment Damage, Operational Downtime, And Safety Hazards. This Study Presents A N...
SMART BATTERY MONITORING AND PROTECTION SYSTEM FOR ELECTRIC VEHICLES USING IOT
Electric Vehicles (EVs) Require Efficient Battery Management To Ensure Safety, Reliability, And Longevity. This Project Proposes A Smart Battery Monitoring And Protection System That Continuously Tracks Critical Battery Parameters Such As T...
Dual Authentication Door Lock System Using ESP32
This Paper Presents A Dual Authentication Door Lock System Based On The ESP32 Microcontroller Aimed At Enhancing Security In Modern Access Control Applications. The System Employs Two Levels Of Authentication, Such As RFID, Password, Or Bio...