Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems by Eric Yanchenko, Thomas M. Chappell, Anders S. Huseth

“…In this study, a Bayesian optimization (BO) algorithm was used to learn more about the optimal distribution of a fine-scale trap network targeting Helicoverpa zea (Boddie), a significant agricultural pest across North America. …”
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A comprehensive review of fiber-reinforced topology optimization for advanced polymer composites produced by automated manufacturing by Bence Szederkenyi, Norbert Krisztian Kovacs, Tibor Czigany

“…We emphasize practical considerations such as manufacturing constraints and algorithmic efficiency, addressing real-world usability aspects [2]. …”
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Application of Energy Saving and Environmental Protection Materials in Architectural Design by Zixiang Yan

“…Building energy saving has become a major trend of global development, and then the optimal design of reinforcement selection for reinforced concrete beams based on a multiobjective genetic algorithm is discussed. The area of reinforcement required for the member control section is obtained according to the structural analysis program, the main purpose of reinforcement selection is to select safe, economical, and reasonable reinforcement on the premise of meeting the provisions of the code and the requirements of reinforcement structure. …”
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Data management method for building internet of things based on blockchain sharding and DAG by Wenhu Zheng, Xu Wang, Zhenxi Xie, Yixin Li, Xiaoyun Ye, Jinlong Wang, Xiaoyun Xiong

“…By designing an Adaptive Balancing Load Algorithm (ABLA) for periodic network sharding, nodes are divided based on their load performance values to prevent the aggregation of low-load performance nodes and the resulting issue of shard overheating. …”
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Dynamic Shift Coordinated Control Based on Motor Active Speed Synchronization with the New Hybrid System by Ting Yan, Lin Yang, Bin Yan, Wei Zhou, Liang Chen, Wei Zhou

“…A new hybrid system with superior performances is applied to present the validity of the adopted control algorithm during upshift or downshift, which can represent planetary gear system and conventional AMT shift procedure, respectively. …”
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Computational-Based Approaches for Predicting Biochemical Oxygen Demand (BOD) Removal in Adsorption Process by Mohamed K. Mostafa, Ahmed S. Mahmoud, Mohamed S. Mahmoud, Mahmoud Nasr

“…An optimized ANN structure of 5–10–1, with the “trainlm” back-propagation learning algorithm, achieved the highest predictive performance for BOD removal (R2: 0.972, Adj-R2: 0.971, RMSE: 1.449, and SSE: 56.680). …”
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Adaptive Positioning Control of Multi-Point Moorings with Disturbance Observation Under Input Constraints by Run Lu, Guichen Zhang, Ru Liu, Chaojian Gao, Wei Chen, Huanglong Fu

“…An auxiliary dynamic system (ADS) is then introduced to address input constraints, while the differential explosion problem associated with the traditional inversion method is resolved through the integration of the dynamic surface control (DSC) algorithm. The Lyapunov function is utilized to demonstrate that the controller ensures the consistent ultimate boundedness of all signals within the closed-loop system. …”
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Enhancing smart healthcare networks: Integrating attribute-based encryption for optimization and anti-corruption mechanisms by Yanzhao Zeng, Xin Guan, Jingjing Sun, Yanrui Chen, Zeyu Wang, Peng Nie

“…The ABE approach is then empirically compared to other prominent encryption algorithms, such as Identity-Based Encryption, Data Encryption Standard, Advanced Encryption Standard, and Rivest-Shamir-Adleman algorithms. …”
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ViPar: High-Level Design Space Exploration for Parallel Video Processing Architectures by Karim M. A. Ali, Rabie Ben Atitallah, Abdessamad Ait El Cadi, Nizar Fakhfakh, Jean-Luc Dekeyser

“…In the experimental validation, we used ViPar tool to generate automatically an efficient hardware implementation for a Multiwindow Sum of Absolute Difference stereo matching algorithm on Xilinx Zynq ZC706 board. We succeeded to increase the design productivity by converging rapidly to the appropriate designs that fit with our system constraints in terms of power consumption, hardware utilization, and frame execution time.…”
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Design and Implementation of Spatial Operators and Energy-Efficient Query Processing Strategy in Wireless Sensor Network Database System by Chong sok Lim, Jeong-Hoon Lee, Minjee Park, Soon J. Hyun

“…Our energy-efficient query processing strategy implements an in-network query management based on the lowest common ancestor (LCA) algorithm, so that the query processing cost for calculating the target spaces is greatly reduced by avoiding the need of heavy query/data transmissions between the base-station and target nodes. …”
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Significance of Nonsimilar Numerical Simulations in Forced Convection from Stretching Cylinder Subjected to External Magnetized Flow of Sisko Fluid by Jifeng Cui, Umer Farooq, Ahmed Jan, Murtada K. Elbashir, Waseem Asghar Khan, Mogtaba Mohammed, Ziyad Ali Alhussain, Jamshaid Ul Rahman

“…The numerical analyses are presented by adapting local nonsimilarity via finite-difference (FDM)-based MATLAB algorithm bvp4c. The characteristics of dimensionless numbers are determined by graphs that are plotted on momentum and heat equations. …”
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Evaluating the accuracy of hyperspectral and multispectral images in wetland cover classification using data mining models (Case study: Shadegan wetland) by Hamid Bagheri, Rahime Rostami

“…Therefore, the characteristics considered for the wetland, in the three images obtained from the SVM algorithm showed that showing the differentiation of wetland vegetation use from irrigated agricultural land use is more ambiguous than other wetland features. …”
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A Reliable Method for Identification of Antibiotics by Terahertz Spectroscopy and SVM by Jin Guo, Hu Deng, Quancheng Liu, Linyu Chen, Zhonggang Xiong, Liping Shang

“…The model parameters were optimized through grid search (GS), genetic algorithm (GA), and particle swarm optimization (PSO) methods, and the optimal identification results were obtained after comparison across these methods. …”
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Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework by Ruize Gao, Shaoze Cui, Yu Wang, Wei Xu

“…To optimize the model’s parameters, we leverage the particle swarm optimization algorithm. The robustness of our proposed model is validated through extensive experiments performed on a financial dataset of Chinese listed companies. …”
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Orthogonal Components Forming of the Microprocessor-Based Protection Input Signals by F. A. Romaniuk, V. Yu. Rumiantsev, Yu. V. Rumiantsev, V. S. Kachenya

“…The article proposes to form the equivalent signal OS in microprocessor defenses based on the values of the cosine and sine axes of the main harmonic formed using a discrete Fourier transform, by multiplying them by a correction factor, which is a function of the values of the input signal amplitude and its main harmonic. The proposed algorithm for generating OS input signals in microprocessor defenses is characterized by high performance in transient modes and has wide functionality. …”
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A Decision-Making Approach for Ranking Tertiary Institutions’ Service Quality Using Fuzzy MCDM and Extended HiEdQUAL Model by Olufunke Oladipupo, Taiwo Amoo, Olawande Daramola

“…The importance weight of each performance criterion is found with Fuzzy Analytical Hierarchy Process (FAHP) algorithm. This study has been able to practically establish Ext-HiEdQUAL as a new service quality model for higher education with six concepts and 33 criteria. …”
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Two-Stage Optimization Method for the Bearing Layout of Isolated Structure by Yu Dang, GenXiong Zhao, HongTu Tian, Guobao Li

“…The isolation devices are simplified as a kind of lead-rubber bearing. The genetic algorithm is used to find the optimal parameters of the isolated layer. …”
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Think4SCND: Reinforcement Learning With Thinking Model for Dynamic Supply Chain Network Design by Pan Li, Shaochen Ren, Qun Zhang, Xuran Wang, Yang Liu

“…We propose an end-to-end training algorithm that effectively combines model-free reinforcement learning with model-based planning. …”
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Critical Segments Identification for Link Travel Speed Prediction in Urban Road Network by Xiaolei Ru, Xiangdong Xu, Yang Zhou, Chao Yang

“…A large variety of algorithms were proposed to improve the prediction accuracy. …”
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Detection of reproducible liver cancer specific ligand-receptor signaling in blood by Aram Safrastyan, Aram Safrastyan, Damian Wollny, Damian Wollny, Damian Wollny

“…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
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