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A Deployment Optimization Model for Wimax Base-Stations
Published 2011“…A Master of Science Thesis in Engineering Systems Management submitted by Abdulhadi Mahmoud Aboualmal entitled, "A Deployment Optimization Model for Wimax Base-Stations," submitted in June 2011. …”
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Machine Learning Models for Scheduling On-Demand Fog Placement and Optimizing Container Deployment
Published 2020“…Second, we propose a K-Means based clustering model embedded within a multi-objective optimization scheme for fog and container placement. …”
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On the Optimal Deployment of Deep Learning Neural Networks on Field Programmable Gate Arrays
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Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment
Published 2025“…Furthermore, we investigate quantization techniques to optimize model performance for on-device inference, ensuring seamless deployment on mobile devices and other edge devices without compromising accuracy. …”
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NETWORK DEPLOYMENT AND UAV PATH PLANNING IN UAV-ASSISTED IOT NETWORKS: A JOINT OPTIMIZATION MODEL
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Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks
Published 2019“…In particular, we consider the joint problem of optimizing the number and positions of deployed UAV cloudlets in 3D space and task offloading decisions with cooperation among UAVs, in order to provision IoT services with strict latency requirements. …”
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Application of Tools of Quality Function Deployment and Modified Balanced Scorecard for Optimal Allocation of Pavement Management Resources
Published 2020“…Most of the pavement management entities are driven by optimization models that allow the optimization of a single objective. …”
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A novel AI approach for optimal deployment of EV fast charging station and reliability analysis with solar based DGs in distribution network
Published 2022“…For impeccable EVs deployment, a well-developed charging infrastructure is required. …”
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On-Demand Client Deployment And Selection In Federated Learning
Published 2022“…However, none of them has targeted the ability to deploy and select clients on the fly wherever and whenever needed. …”
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Planning of Dynamic Wireless Charging Infrastructure for Electric Vehicles
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doctoralThesis -
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On-demand deployment of multiple aerial base stations for traffic offloading and network recovery
Published 2019“…., due to an unexpected surge in user demand or a natural disaster, UAVs can be deployed to provide instant recovery via temporary wireless coverage in designated areas. …”
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Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility
Published 2019“…In this work, we address the problem of deploying multiple UAVs optimally in 3D space while autonomously adapting their positions as users move around within the network. …”
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3D deployment of UAVs in wireless networks for traffic offloading and edge computing. (c2019)
Published 2019“…This being said, computation tasks generated by IoT devices can be pro- cessed in less latency and with much lower energy consumption at the devices. To optimally deploy UAVs as mounted cloudlets, we formulate our problem as mixed integer program and then use an e cient meta-heuristic algorithm to generate optimized results for large scale IoT networks. …”
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masterThesis -
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Planning and Optimizing Electric-Vehicle Charging Infrastructure Through System Dynamics
Published 2022“…The findings in the paper show that the proposed planning framework can find the optimum staging plan for EV and PV infrastructure based on the policy choices. The staging plan optimizes the sizes and times of installing EVCSs combined with solar PV keeping the EV-PV project at maximum economic and environmental targets. …”
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An Economical and Sustainable Optimized Data Center Design
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doctoralThesis