New Approach for Quality Function Deployment Based on Linguistic Distribution Assessments and CRITIC Method by Ling-Xiang Mao, Jing Lan, Anqi Chen, Hua Shi, Hu-Chen Liu

“…Quality function deployment (QFD) is a customer-oriented quality management tool used to maximize customer satisfaction by considering the correlations between customer requirements and engineering characteristics. …”
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Augmented secretary bird optimization algorithm for wireless sensor network deployment and engineering problem. by Qingwen Meng, Xi Kuang, Zihan Yu, Minghui He, Hanzhi Cui

“…In the engineering problems, ASBOA consistently outperformed competing methods, while in the WSN deployment scenario, it achieved a coverage rate of 88.32%, an improvement of 1.12% over the standard SBOA. …”
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High-capacity phase-sensitively amplified transmission in a field-deployed fiber cable by Zhirong Chen, Xiaojie Guo, Yingyu Chen, Yongguang Xiao, Jingshun Pan, Zhengyong Liu, Chao Lu, Zhaohui Li

“…Here we present the field trial of high-capacity phase-sensitively amplified transmission in a field-deployed optical fiber cable. Same-wavelength bi-directional transmission of wavelength-division-multiplexing signals is utilized to increase the capacity in one fiber core. …”
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Review of the emerging technologies in the water sector with a focus on the deployment of Internet of Things solutions by Patrick Ouma Obunga, Sophia Sudi Rwanga, Megersa Olumana Dinka, Benton Onyango Otieno

“…The review show that water utilities incur significant revenue losses due to NRW emanating from leaks, illegal connections, and non-payment of water bills. …”
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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

“…Firstly, an optimized relay node deployment strategy (RNDS) is used to deploy AUV nodes to effectively ensure network connectivity. …”
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Deployment and Application of On-Board PHM Models Based on Docker Containers for Intelligent Operation and Maintenance by DU Jiwei, WEN Lin, LYU Yu, JIANG Guotao, CHEN Kai, XIONG Yukai

“…Specifically, this platform improves resource utilization and allows for more flexible allocation of hardware resources. …”
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Rapid deployment method of integrated localization and communication network for high dynamic emergency scenarios by XU Lianming, ZHU Wendi, WANG Li, LIU Zhenyu, ZHANG Yuhao

“…The proposed NA-VF algorithm significantly enhances the utilities of communication and localization and the service coverage rates for users in dynamic scenarios, while supporting sub-second UAV deployment.…”
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NUDIF: A Non-Uniform Deployment Framework for Distributed Inference in Heterogeneous Edge Clusters by Peng Li, Chen Qing, Hao Liu

“…However, such approaches often lead to load imbalance and suboptimal resource utilization under concurrent batch processing scenarios. …”
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Deploying Android-Based Smart RSUs with YOLOv8 and SAHI for Enhanced Traffic Management by Mohammed F. Rashad, Qutaiba I. Ali

“…The proposed approach addresses limitations of conventional traffic monitoring by providing an adaptable, open-source infrastructure that reduces hardware costs while ensuring real-time processing. Utilizing mobile devices enhances scalability and cost-effectiveness compared to traditional RSUs, which are expensive and hard to deploy at scale. …”
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Field Deployment of Natural Gas Pipeline Pre-Warning System With CEEMDAN Denoising Method by Jun Li, Ruixu Yao

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Autonomous deployment and energy efficiency optimization strategy of UAV based on deep reinforcement learning by Yi ZHOU, Xiaoyong MA, Fuxiao GAO, Wei LI, Nan CHENG, Ning LU

“…Utilizing a UAV to build aerial mobile small cell can provide more flexible and efficient access services for ground terminal users.Constrained by the coverage and limited energy of the UAV,it is necessary to study how to build a fast,efficient and energy-saving air-ground collaborative network.To deal with complex dynamic scenarios,the UAV needs to deploy an optimal coverage position,and meanwhile reduce both path loss and energy consumption in the deployment process.Based on the deep reinforcement learning,a strategy of autonomous UAV deployment and efficiency optimization was proposed.The coverage state set of UAV was established,and the energy efficiency was used as a reward function.Depth neural network and Q-learning were used to guide UAV to make autonomous decision and deploy the optimal position.The simulation results show that the deployment time of the proposed method can be effectively reduced by 60%,while the energy consumption can be reduced by 10%~20%.…”
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Autonomous deployment and energy efficiency optimization strategy of UAV based on deep reinforcement learning by Yi ZHOU, Xiaoyong MA, Fuxiao GAO, Wei LI, Nan CHENG, Ning LU

“…Utilizing a UAV to build aerial mobile small cell can provide more flexible and efficient access services for ground terminal users.Constrained by the coverage and limited energy of the UAV,it is necessary to study how to build a fast,efficient and energy-saving air-ground collaborative network.To deal with complex dynamic scenarios,the UAV needs to deploy an optimal coverage position,and meanwhile reduce both path loss and energy consumption in the deployment process.Based on the deep reinforcement learning,a strategy of autonomous UAV deployment and efficiency optimization was proposed.The coverage state set of UAV was established,and the energy efficiency was used as a reward function.Depth neural network and Q-learning were used to guide UAV to make autonomous decision and deploy the optimal position.The simulation results show that the deployment time of the proposed method can be effectively reduced by 60%,while the energy consumption can be reduced by 10%~20%.…”
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A Novel Minimization Method for Sensor Deployment Via Heuristic 2-Sat Solution by Waleed Ahmed, Ali Muhammad Ali Rushdi

“…In this paper, we introduce these minimization algorithms for the sensor deployment problem. We also contribute a greed-based heuristic, which utilizes the fact that the pertinent propositional formulas have variables of purely un-complemented literals. …”
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Deployment and Operation of Battery Swapping Stations for Electric Two-Wheelers Based on Machine Learning by Yu Feng, Xiaochun Lu

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A FPGA Accelerator of Distributed A3C Algorithm with Optimal Resource Deployment by Fen Ge, Guohui Zhang, Ziyu Li, Fang Zhou

“…In this paper, we introduce a deployment strategy designed for distributed algorithms aimed at enhancing the resource utilization of hardware devices. …”
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Time Domain Similarity of Lightweight Parameters Based Soil Respiration Sensor Network Deployment by Guoying Wang, Lufeng Mo, Jizhong Zhao, Chaoqi Zhang

“…Most of existing researches on deployment problem of wireless sensor network are on generic network level and not for specific application scenarios and also do not utilize any domain knowledge of practical applications. …”
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A Heuristic Algorithm for Deploying Electric Taxi Charging Stations to Enhance Service Quality by Lingjie Li, Yu Zhang, Cheng Cheng, Hao Du, Shifu Liu

“…As the use of electric taxis increases, the strategic deployment of charging stations becomes crucial to ensuring taxi operations. …”
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Investigating 5G Wireless Networks Deployment with Diverse Frequency Bands for Basra City by Aymen M. Al-Kadhimi

“…This research aims to investigate the feasibility and potential benefits of deploying 5G wireless networks in Basra City utilizing a diverse range of frequency bands at 1.8, 2.1, and 3.6 GHz. …”
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Advancing Applications of Robot Audition Systems: Efficient HARK Deployment with GPU and FPGA Implementations by Zirui Lin, Hideharu Amano, Masayuki Takigahira, Naoya Terakado, Katsutoshi Itoyama, Haris Gulzar, Kazuhiro Nakadai

“…This paper proposes efficient implementations of robot audition systems, specifically focusing on deployments using HARK, an open-source software (OSS) platform designed for robot audition. …”
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Development, deployment, and feature interpretability of a three-class prediction model for pulmonary diseases by Zhenyu Cao, Gang Xu, Yuan Gao, Jianying Xu, Fengjuan Tian, Hengfeng Shi, Dengfa Yang, Zongyu Xie, Jian Wang

“…XGBoost model can be deployed on a website for clinicians. Graphical Abstract…”
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