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Computer Engineering
Showing 1-30 of 583 Thesis
A Lightweight Trust Framework for Edge AI Systems...
In an era increasingly dominated by edge computing, deploying AI workloads on resource-constrained devices raises critical concerns about trust, security, and r...
Edge-Computing for Smart Agriculture: A Winery Case Study...
The rapid digitization of agricultural operations and the increasing demand for grape quality and environmental sustainability necessitate robust, low-latency d...
Comparative Analysis of Embedded AI Accelerators for Edge Devices...
This study addresses the growing demand for energy-efficient, low-latency AI processing on edge devices by comparing embedded AI accelerators across representat...
Edge-AI Middleware for Real-Time Smart Campus IoT Analytics...
The rapid proliferation of Internet of Things (IoT) sensors and devices on university campuses presents an opportunity to transform operational efficiency, safe...
Empirical Evaluation of Edge AI for Industrial IoT Security...
Industrial Internet of Things (IIoT) deployments increasingly rely on edge artificial intelligence to detect anomalies, enforce security policies, and enable re...
Edge-Computing-Driven Real-Time Sensor Fusion for Smart Factories...
In modern manufacturing, real-time decision-making relies on timely and accurate sensor data streams, yet edge-centrism remains underexplored for robust fusion ...
A Modular Energy-Efficient Edge AI Architecture Framework for IoT...
This study addresses the growing demand for intelligent, low-latency processing in Internet of Things (IoT) environments by proposing a modular energy-efficient...
Edge Computing for Smart Manufacturing: A Case Study at Hyundai Motor Company...
This study investigates the integration of edge computing within Hyundai Motor Company's smart manufacturing ecosystem to address latency, bandwidth, and data s...
Comparative Analysis of Edge AI Frameworks on Embedded Platforms...
The rapid deployment of AI-enabled applications at the edge has exposed a gap in understanding how different Edge AI frameworks perform on diverse embedded plat...
Energy-Aware Edge Intelligence for Real-Time Industrial Automation...
Industrial facilities increasingly rely on real-time automation systems powered by edge computing to meet stringent latency and reliability requirements; howeve...
Empirical Evaluation of Edge AI for Real-Time IoT Networks...
The rapid proliferation of Internet of Things (IoT) devices and the demand for real-time processing have intensified the need for on-device intelligence, yet ex...
Edge-Aware Vision Transformer for Real-Time Embedded Systems...
The rapid proliferation of edge devices in autonomous systems and smart cameras demands vision models that deliver high accuracy under real-time constraints wit...
A Unified Framework for Energy-Aware Edge AI Offloading Strategy...
The rapid growth of edge computing and AI workloads imposes a critical energy efficiency challenge, as constrained edge devices must balance local processing, o...
Optimizing Smart Grid Security: A Case Study of Mumbai Electric Utility...
The rapid digitalization of urban electricity networks has elevated the attack surface of power delivery systems, necessitating robust security strategies withi...
Comparative Analysis of Edge AI Frameworks on Embedded MCUs...
Edge AI has emerged as a pivotal approach for deploying intelligent processing directly on resource-constrained embedded microcontrollers (MCUs), yet the hetero...
Edge AI-Driven Energy-Efficient Smart Grid Multisensor Fusion...
The rapid electrification of modern power systems coupled with the proliferation of distributed energy resources amplifies real-time monitoring and control dema...
Edge Computing for Real-Time IoT Anomaly Detection in Smart Cities...
This study investigates the deployment of edge computing for real-time anomaly detection in Internet of Things (IoT) installations across smart city environment...
Edge-Aware Real-Time Image Compression on Embedded SoCs...
Edge-Aware Real-Time Image Compression on Embedded SoCs presents a rigorous investigation into delivering high-quality visual data with minimal latency on resou...
A Scalable Framework for Real-Time Edge-Aware Federated Learning Systems...
In an era of ubiquitous intelligent devices and latency-sensitive applications, real-time federated learning (FL) faces challenges of scalability, communication...
Optimizing Edge AI for Smart Factories: A Siemens Case Study...
Edge AI technologies promise to elevate operational efficiency, predictive maintenance, and energy optimization in modern manufacturing by enabling real-time de...
Comparative Analysis of Edge AI Acceleration on Embedded Devices ...
Edge artificial intelligence (AI) has emerged as a pivotal capability for delivering low-latency, privacy-preserving inference on resource-constrained embedded ...
AI-Driven Predictive Maintenance System for Smart Manufacturing Environments...
The increasing complexity and operational demands of modern manufacturing environments necessitate innovative solutions to minimize equipment downtime and optim...
Evaluating the Impact of Edge Computing on Latency in Smart City Networks...
The rapid proliferation of Internet of Things (IoT) devices and sensor networks in smart city environments has elevated the critical importance of low-latency c...
Design and Evaluation of a Real-Time IoT Sensor Data Filtering System...
The exponential growth of Internet of Things (IoT) deployments has led to an unprecedented volume of sensor data generated in real time, presenting significant ...
A Framework for Adaptive Resource Allocation in Edge Computing Environments...
The rapid proliferation of Internet of Things (IoT) devices and the increasing demand for low-latency processing have positioned edge computing as a pivotal par...
Optimizing IoT Security Protocols in Smart Manufacturing Plants...
The rapid integration of Internet of Things (IoT) technologies within smart manufacturing plants has revolutionized industrial operations by enhancing automatio...
Comparative Analysis of Energy Efficiency in Edge versus Cloud Computing Architectur...
The escalating demand for data processing and storage in contemporary information systems has prompted significant interest in evaluating the energy efficiency ...
Development of a Blockchain-Based Secure Voting System for E-Governance...
The prevalent reliance on traditional voting systems in democratic processes poses significant challenges related to security, transparency, and voter trust, pa...
Evaluating the Impact of Edge Computing on Real-Time Data Processing Efficiency...
The burgeoning adoption of edge computing paradigms has transformed the landscape of real-time data processing by decentralizing computational resources closer ...
Design and implementation of a lightweight blockchain-based authentication system...
The increasing demand for secure, efficient, and scalable authentication mechanisms in distributed systems has highlighted the limitations of traditional centra...
