RL-SCAP SigFox: A Reinforcement Learning Based Scalable Communication Protocol for Low-Power Wide-Area IoT Networks by Raghad Albalawi, Fatma Bouabdallah, Linda Mohaisen, Shireen Saifuddin

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Enhancing the mechanical behaviors of 18Ni300 steel through microstructural evolution in Electron Beam Powder Bed Fusion by Huan Qi, Zhaoyang Zhang, Minghao Huang, Chunnan Song, Xin Yang, Huiping Tang

“…These findings provide a foundation for optimizing EPBF processing strategies for 18Ni300 steel, enabling its broader adoption in high-performance applications across aerospace, automotive, and tooling industries.…”
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Multidimensional Nonlinear Landscape Planning Based on Parameter Feature Extraction and Multimedia Technology by Tiesheng Liu

“…In this study, by simulating the spatial vision of the scene and changing the parameters, we can find the best scheme and get good results. …”
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Research and Analysis of Thermal Parameter of Million-kilowatt Sodium-cooled Fast Reactor by DING Tongwei1, CHEN Wei2, WANG Wenjie3

“…The million-kilowatt sodium-cooled fast reactor represents an optimization and improvement of the CEFR, sharing the same heat-transfer mechanism. …”
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Parameter Optimisation of Support Vector Machine using Genetic Algorithm for Cyberbullying Detection by Mohd Qorib Alqowiy, Ema Utami

“…To overcome this, various search algorithms have been suggested to optimize SVM parameters. This study utilizes a genetic algorithm to find the optimal values for the C and gamma parameters. …”
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Design of the optimal groundwater quality monitoring network using a genetic algorithm based optimization approach by Somaye Janatrostami, Ali Salahi

“…Therefore, the configuration of the wells distribution and their number in groundwater monitoring networks are an important problem for optimizing groundwater issues. This study was targeted to find an optimal monitoring network with minimum number of wells in the Guilan’s aquifer so that provides sufficient spatial distribution on groundwater quality. …”
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Gaussian barebone mechanism and wormhole strategy enhanced moth flame optimization for global optimization and medical diagnostics. by Jingjing Ma, Zhifang Zhao, Lin Zhang

“…Employing BWEMFO, we optimize the kernel parameters of the kernel-limit learning machine, thereby crafting the BWEMFO-KELM methodology for medical diagnosis and prediction. …”
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Stochastic Modeling and Availability Optimization of Nuts Manufacturing Plant Using Markov Process and Particle Swarm Optimization by Naveen Kumar, Ashish Kumar, Deepak Sinwar, Monika Saini

“…The availability function derived using Markov approach is treated as objective function of the optimization problem having decision parameters as failure and repair rates. …”
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Multi-objective optimization of HESS control for optimal frequency regulation in a power system with RE penetration by Ousama M.T. Ajami, Rodney H.G. Tan, Mithulan Nadarajah, Farah Adilah Jamaludin, Adlan Bagus Pradana

“…This research evaluates three distinct control models for HESS, Incorporating Supercapacitor Energy Storage (SCES) and Battery Energy Storage Systems (BESS). To optimize the control parameters with the best objectives, all possible sets of objectives with four different optimization algorithms are studied. …”
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Particle Swarm Optimization Based Optimal Design of Six-Phase Induction Motor for Electric Propulsion of Submarines by Lelisa Wogi, Amruth Thelkar, Tesfabirhan Shoga Tahiro, Tadele Ayana, Shabana Urooj, Samia Larguech

“…In this study, first the initial parameters of the six phase squirrel cage induction motor have been determined and then these parameters have been compared with optimized values by Genetic Algorithm (GA) and PSO optimization. …”
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Multiobjective optimization of suspension bridges via coupled modeling and dual population multiobjective particle swarm optimization by Peiling Yang, Jianhua Deng, Anli Wang

“…Abstract To address the limitations of traditional suspension bridge main cable shaping methods, which cannot automatically perform shape-finding during the optimization process, this paper proposes a bisection-parabolic (BP) method. …”
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Calibration and Experimental Validation of Discrete Element Parameters of Fritillariae Thunbergii Bulbus by Hang Zheng, Zhaowei Hu, Xianglei Xue, Yunxiang Ye, Tian Liu, Ning Ren, Fanyi Liu, Guohong Yu

“…The percentages of the average shear force of the oblique blade were reduced by 52.23% and 29.55% compared with the flat and arc blades, respectively, while the force variation trends for FTB remained consistent. These findings confirm the reliability of the simulation parameters and establish a theoretical basis for optimizing the structural design of slicing equipment for FTB.…”
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Achieving structural anisotropy of liquid crystalline epoxy by manipulation with crosslinking parameters by M. Kisiel, B. Mossety-Leszczak, B. Strachota, A. Strachota

“…The main finding of this article is the optimized process of curing, allowing to obtain highly anisotropic material. …”
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Preparation and characterization of copper parts printed by electrochemical additive manufacturing process by Xin Li, Wangping Wu, Yu-ao An

“…The study highlights how variations in process parameters influence the deposition speed, surface quality, and microstructure of copper parts, establishing an optimal range for process settings. …”
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Parametric Aerodynamic Study of Galloping Piezoelectric Energy Harvester with Arcuate Protruding and Depressed Features by Xiaokang Yang, Bingke Xu, Zhendong Shang, Chunyang Liu, Haichao Cai, Xiangyi Hu

“…Compared to a square, a harvester with depressed feature on both top and bottom sides exhibits a significant jump in power at the critical wind speed, greatly improving the power. These findings provide important design guidelines for structural optimization of galloping piezoelectric energy harvesters, enabling them to match the wind energy distribution characteristics of specific regions with optimal performance.…”
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Predictive role of preoperative parameters in LAMP outcomes for myelopathy caused by COPLL by Hao Yuan, Wei Lei, Wenping Li, Yunlong Zhou, Xufeng Jia, Daxiong Feng, Fei Lei

“…While Torg-Pavlov ratio, maximal SCOR, and the shape of COPLL offer additional predictive value for overall recovery, they remain useful for preoperative surgical planning. These findings emphasize the importance of comprehensive preoperative assessment to optimize outcomes.…”
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Surrogate-guided optimization in quantum networks by Luise Prielinger, Álvaro G. Iñesta, Gayane Vardoyan

“…We demonstrate the effectiveness of our approach by applying it to three well-known optimization problems in quantum networking: allocating quantum memory across multiple nodes, tuning an experimental parameter in every physical link of a quantum entanglement switch, and finding effective protocol configurations in a large asymmetric quantum network. …”
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Quantitative and Qualitative Analysis of Main Parameters and Their Interactions in Thermoacoustic Refrigerators Performance by Humberto Peredo Fuentes, Carlos Amir Escalante Velázquez

“…Then, based on LTT, the COP was estimated numerically over defined intervals of those five parameters. Moreover, through quantitative and qualitative effect analyses, these five parameters and their interactions were determined. …”
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Research on the Deformation Laws of Adjacent Structures Induced by the Shield Construction Parameters by Jinhua Wang, Nengzhong Lei, Xiaolin Tang, Yulin Wang

“…The practice shows that, by optimizing shield construction parameters in upper-soft and lower-hard strata, the deformation of nearby bridges and pavements can be kept within allowable limits. …”
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Electrical Properties of Engine Oils—Comparison of Electrical Parameters with Physicochemical Characteristics by Artur Wolak, Ryszard Żywica

“…The findings indicate a correlation between selected electrical parameters and traditional laboratory measurements, particularly within the 1 kHz to 10 kHz frequency range, where the measurement repeatability was the highest. …”
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