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Computer Engineering
Showing 1-30 of 608 projects
Design and Implementation of an Energy-Efficient Edge Computing Framework for Real-T...
This work presents a comprehensive design and implementation of an energy-efficient edge computing framework tailored for real-time IoT data analytics, addressi...
Smart Energy Management System for Microgrids using Edge AI and IoT Sensors...
The rapid adoption of microgrids and distributed energy resources in modern power systems necessitates advanced control mechanisms that enhance reliability, eff...
Smart Modular IoT Gateway for Energy-Efficient Home Automation Using Edge AI...
This research presents a comprehensive design and evaluation of a smart modular IoT gateway optimized for energy-efficient home automation through edge AI proce...
Edge AI-driven real-time IoT security gateway for smart homes...
This study presents the design, implementation, and evaluation of an edge AI-driven real-time IoT security gateway tailored for smart homes, addressing the risi...
Smart Wearable Health Monitoring System with Edge Computing Note: If you want more ...
This study presents a smart wearable health monitoring system that leverages edge computing to deliver real-time physiological data processing, secure patient d...
Adaptive Edge AI for Real-Time Industrial Vision Diagnostics...
The project presents a novel framework that integrates edge artificial intelligence with real-time industrial vision diagnostics to enhance autonomous quality c...
Development of a Low-Power Edge AI Accelerator for Real-Time Computer Vision in Embe...
In the context of pervasive intelligent sensing, this research presents a low-power edge AI accelerator optimized for real-time computer vision tasks in embedde...
Smart Sensor Network for Energy-Aware Agriculture Using Edge-Computing Devices...
A comprehensive framework for an energy-aware agricultural monitoring system is presented, leveraging a distributed network of smart sensors and edge-computing ...
Smart IoT-based Energy Management System for Smart Grids using Edge Computing...
The rapid growth of distributed energy resources and the proliferation of Internet of Things (IoT) devices in modern power networks necessitate an innovative, s...
Smart Energy-Aware Edge Computing System for Real-Time IoT Data Analytics...
The rapid proliferation of Internet of Things (IoT) devices across urban and industrial environments generates massive streams of heterogeneous data that demand...
Smart Energy Aware Edge Computing Platform for IoT Networks...
This study presents the design, implementation, and evaluation of a smart energy aware edge computing platform tailored for IoT networks, aiming to optimize ene...
Smart Grid Fault Diagnosis and Anomaly Detection Using Federated Learning and Edge A...
This work presents a novel framework for real-time fault diagnosis and anomaly detection in smart grid environments by leveraging federated learning and edge AI...
Autonomous Mobile Robot for Indoor Navigation and Real-Time Obstacle Avoidance using...
This research presents the design, implementation, and evaluation of an autonomous mobile robot capable of indoor navigation and real-time obstacle avoidance by...
Design and implementation of an energy-efficient edge AI accelerator for real-time I...
The rapid growth of IoT in healthcare demands intelligent, on-device processing with minimal latency, preserving patient privacy while delivering real-time insi...
Energy-Efficient Real-Time Edge Computing Platform for Autonomous Agricultural Robot...
This research presents a comprehensive framework for an energy-efficient real-time edge computing platform designed to empower autonomous agricultural robotics ...
Smart Adaptive Edge Computing System for Real-Time IoT Analytics...
The rapid proliferation of Internet of Things (IoT) devices has led to an exponential growth of data at the network edge, necessitating intelligent processing t...
Energy-Efficient Real-Time Edge AI Accelerator for IoT Sensor Networks Note: If you...
This work presents a comprehensive design and evaluation of a novel energy-efficient real-time edge AI accelerator tailored for IoT sensor networks, addressing ...
Smart Energy-Aware Edge Computing for IoT: Real-Time Task Scheduling and Thermal-Awa...
In this work, we address the challenge of delivering high-performance, energy-efficient, and thermally safe execution for IoT workloads through smart edge compu...
Smart Grid Fault Detection and Localization using IoT-Enabled Sensor Network...
This research presents an integrated IoT-enabled sensor network for real-time fault detection and localization in smart grid systems, addressing reliability, sc...
Smart Grid Fault Detection and Localization using Edge AI and Federated Learning...
The rapid integration of distributed energy resources and the proliferation of smart meters in modern power systems demand robust, scalable fault detection and ...
Smart Energy Microgrid Architectures with Real-time Hybrid Inverter Control...
This study presents a comprehensive framework for smart energy microgrid architectures incorporating real-time hybrid inverter control to enhance reliability, e...
Development of an AI-Powered Adaptive Traffic Management System...
This research focuses on designing and implementing an intelligent traffic management system that leverages artificial intelligence (AI) to optimize traffic flo...
Development of an AI-Powered Intelligent Traffic Management System...
Urban traffic congestion has become a critical challenge in many cities worldwide, leading to increased travel time, environmental pollution, and economic losse...
Development of a Smart Traffic Management System Using IoT and Machine Learning...
The increasing urbanization and vehicular population have led to severe traffic congestion, heightened accidents, and inefficient management of traffic flows in...
Design and Implementation of a Smart Traffic Management System Using IoT and AI...
Efficient traffic management remains a critical challenge in urban environments, often leading to congestion, increased travel time, and environmental pollution...
Development of an AI-Powered Smart Traffic Management System...
The rapid urbanization and increasing vehicle population in metropolitan areas have exacerbated traffic congestion, leading to significant economic losses, envi...
Development of an AI-Powered Autonomous Traffic Management System...
The rapid growth of urban populations and the increasing number of vehicles on the roads have exacerbated traffic congestion, leading to significant delays, inc...
Development of an AI-Powered Real-Time Traffic Management and Prediction System...
Efficient traffic management and accurate prediction of traffic flow are critical challenges faced by urban planners and transportation authorities in modern ci...
Smart IoT-Based Traffic Management System...
Efficient traffic management has become a critical challenge in urban environments due to rapid population growth, increasing vehicle numbers, and limited infra...
Design and Implementation of an Intelligent Traffic Management System Using IoT and ...
Efficient traffic management remains a significant challenge in urban areas, contributing to congestion, increased pollution, and increased travel time. This re...
