Optimization of EH Multi-beam Structures for Freight Car Vibration
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.04.020
Abstract: Abstract Autonomous sensors (AS) became a suitable alternative to the constant monitoring of mechanical systems, preventing unexpected failure of the components and resulting in significant savings in maintenance costs and time. Regarding railroad transportation, these… read more here.
Keywords: multi beam; freight cars; vibration; optimization multi ... See more keywords
Optimization of a multi-environmental detection model for tomato growth point buds based on multi-strategy improved YOLOv8
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-06692-5
Abstract: Tomato growing points and flower buds serve as vital physiological indicators influencing yield quality, yet their detection remains challenging in complex facility environments. This study develops an improved YOLOv8 model for robust flower bud detection… read more here.
Keywords: detection; multi; improved yolov8; multi environmental ... See more keywords
A multi-objective approach for multi-material topology and shape optimization
Sign Up to like & getrecommendations! Published in 2019 at "Engineering Optimization"
DOI: 10.1080/0305215x.2018.1514501
Abstract: ABSTRACTAn automated multi-material approach that integrates multi-objective Topology Optimization (TO) and multi-objective shape optimization is presented. A new ant colony optimization algorithm ... read more here.
Keywords: optimization; optimization multi; multi material; shape optimization ... See more keywords
Resilient Constrained Optimization in Multi-Agent Systems With Improved Guarantee on Approximation Bounds
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3173495
Abstract: This letter considers resilient decentralized constrained optimization in multi-agent systems where some agents due to cyberattacks become adversaries. We show that the proposed method is resilient despite the persistent influence of up to F anonymous… read more here.
Keywords: constrained optimization; optimization multi; agent systems; optimization ... See more keywords
Placement Optimization for Multi-IRS-Aided Wireless Communications: An Adaptive Differential Evolution Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3151074
Abstract: Using intelligent reflecting surfaces (IRSs) is a promising approach to enhance the performance of wireless communication systems. In this letter, the placement optimization of multi-IRSs is investigated in multi-IRS-aided wireless communication systems, with the aim… read more here.
Keywords: placement optimization; optimization multi; irs aided; aided wireless ... See more keywords
Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge Servers
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2025.3604487
Abstract: Edge computing systems struggle to efficiently manage multiple concurrent deep neural network (DNN) workloads while meeting strict latency requirements, minimizing power consumption, and maintaining environmental sustainability. This paper introduces Ecomap, a sustainability-driven framework that dynamically… read more here.
Keywords: sustainability driven; driven optimization; edge; ecomap sustainability ... See more keywords
Optimization of multi-response problems with continuous functional responses by considering dispersion effects
Sign Up to like & getrecommendations! Published in 2017 at "Scientia Iranica"
DOI: 10.24200/sci.2017.4458
Abstract: In some processes, quality of a product should be characterized by functional relationships between response variables and a signal factor. Hence the traditional methods cannot be used to find the optimum solution. In this paper,… read more here.
Keywords: multi response; optimization multi; dispersion effects; functional responses ... See more keywords
Machine-Learning-Driven Approaches for Assessment, Delegation, and Optimization of Multi-Floor Building
Sign Up to like & getrecommendations! Published in 2025 at "Buildings"
DOI: 10.3390/buildings15091565
Abstract: This study presents a novel integrated framework for the structural analysis and optimization of multi-floor buildings by combining validated theoretical models with machine learning and evolutionary algorithms. The proposed Process–Action–Response System (PARS-Solution) accurately computes key… read more here.
Keywords: machine learning; multi floor; optimization multi; floor ... See more keywords