Designing a sustainable and resilient agri-food closed-loop supply chain network for porcine products by Álvaro Ronaldo Elizalde Camacho, Fatemeh Gholian-Jouybari, Behzad Mosallanezhad, Neale R. Smith, Mostafa Hajiaghaei-Keshteli

“…In 86 % of numerical tests, the H_KASA outperforms other proposed algorithms in terms of objective function value. Sensitivity analysis reveals that production capacity and customer demand have a significant impact on supply chain costs, leading to a shift of over 20 % when either parameter increases by 50 %. …”
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Parallel region growing of half-tone images based on selected average brightness of the area along the growth route by V. Yu. Tsviatkou

“…The problem of parallel segmentation of halftone images by brightness for implementation on the basis of programmable logic integrated circuits is considered. Segmentation divides an image into regions formed from pixels with approximately the same brightness, and is a computationally complex operation due to multiple checks of the value of each pixel for the possibility of joining an adjacent region. …”
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Two-Step Estimation Procedure for Parametric Copula-Based Regression Models for Semi-Competing Risks Data by Qingmin Zhang, Bowen Duan, Małgorzata Wojtyś, Yinghui Wei

“…Due to the complexity of the copula structure, we propose a new method that integrates a novel two-step algorithm with the Bound Optimization by Quadratic Approximation (BOBYQA) method. …”
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Validation of Depth-Averaged Flow Model Using Flat-Bottomed Benchmark Problems by Il Won Seo, Young Do Kim, Chang Geun Song

“…The mass conservation rate was determined to be 99.2%. This value was measured by the variation of the total volume of the fluid after a cylinder break. …”
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Comparative study of different machine learning models in landslide susceptibility assessment: A case study of Conghua District, Guangzhou, China by Ao Zhang, Xin-wen Zhao, Xing-yuezi Zhao, Xiao-zhan Zheng, Min Zeng, Xuan Huang, Pan Wu, Tuo Jiang, Shi-chang Wang, Jun He, Yi-yong Li

“…RF and XGB models were superior to LR and SVM models, indicating that the integrated algorithm has better predictive ability than a single classification algorithm in regional landslide classification problems.©2024 China Geology Editorial Office.…”
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Impact of Controller Performance on the Process of Guiding an Armour-Piercing Missile onto a Ground-Based Target by Łukasz NOCOŃ, Konrad STEFAŃSKI

“…A comparison is made between the operating efficiency of various configurations of a traditional proportional integral derivative (PID) controller, and at various gain factor values of the PID controller stages. …”
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Vote-Based: Ensemble Approach by Abdul Ahad Abro

“…In most cases, the ensemble learning algorithm yields better performance than ML algorithms. …”
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Combined use of a broad-panel respiratory multiplex PCR and procalcitonin to reduce duration of antibiotics exposure in patients with severe community-acquired pneumonia (MULTI-CAP... by Isabelle Durand-Zaleski, Eric Maury, Bruno Megarbane, Tabassome Simon, Jean-François Timsit, Jean Dellamonica, Saad Nseir, Alexandra Rousseau, Laurence Bérard, Kada Klouche, Yacine Tandjaoui-Lambiotte, Jean Reignier, Laurent Argaud, Muriel Fartoukh, Keyvan Razazi, Laurence Armand-Lefevre, Bertrand Souweine, Guillaume Voiriot, Charlotte Verdet, Juliette Patrier, Jean-Christophe Richard, Carole Schwebel, Jean-Christophe Navellou, Pierre-Francois Dequin, Pierre-Edouard Bollaert, Marc Gainnier, Julien Bohe

“…In the intervention arm, the microbiological diagnosis combines a respiratory multiplex PCR (mPCR) and conventional microbiological investigations. An algorithm of early antibiotic de-escalation or discontinuation is recommended, based on mPCR results and the procalcitonin value. …”
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Development of a parametric production jacket pattern for an automated pattern-making system by Narae Kim, Jinhee Park

“…Moreover, it has the potential to contribute to the automation of the entire production process. However, the integration of algorithms into the patterns is necessary to automate the drafting of patterns directly on computers based on the pattern maker's intuition. …”
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Multi-omics analysis reveals the role of ribosome biogenesis in malignant clear cell renal cell carcinoma and the development of a machine learning-based prognostic model by Zhouzhou Xie, Zhouzhou Xie, Shansen Peng, Shansen Peng, Jiongming Wang, Jiongming Wang, Yueting Huang, Yueting Huang, Xiaoqi Zhou, Xiaoqi Zhou, Guihao Zhang, Guihao Zhang, Huiming Jiang, Huiming Jiang, Kaihua Zhong, Kaihua Zhong, Lingsong Feng, Lingsong Feng, Nanhui Chen, Nanhui Chen

“…A prognostic model based on a Ribosis-related signature (RBRS) was built using 118 machine learning algorithm combinations and validated in internal and external cohorts. …”
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Wind speed and power forecasting using Bayesian optimized machine learning models in Gabal Al-Zayt, Egypt by Nehal Elshaboury, Haytham Elmousalami

“…For WPP, the LGBM and BDT algorithms demonstrate strong predictive performance across different time scales, with MAPE, MSE, EV, R, and CCC values ranging from 0.277 to 186.710%, 0.927 to 9444.576, 0.970 to 1.000, 0.985 to 1.000, and 0.985 to 1.000, respectively.…”
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Identification of osteoarthritis-associated chondrocyte subpopulations and key gene-regulating drugs based on multi-omics analysis by Ting Hao, Zhiwei Pei, Sile Hu, Zhenqun Zhao, Wanxiong He, Jing Wang, Liuchang Jiang, jirigala Ariben, Lina Wu, Xiaolong Yang, Leipeng Wang, Yonggang Wu, Xiaofeng Chen, Qiang Li, Haobo Yang, Siqin Li, Xing Wang, Mingqi Sun, Baoxin Zhang

“…To screen for hub genes associated with OA, a combination of 10 machine learning algorithms and 113 algorithm compositions was integrated. …”
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Robust Symbol Detection in Large-Scale Overloaded NOMA Systems by Hiroki Iimori, Giuseppe Thadeu Freitas De Abreu, Takanori Hara, Koji Ishibashi, Razvan-Andrei Stoica, David Gonzalez G., Osvaldo Gonsa

“…The method so obtained, referred to as the Iterative Discrete Least Square (IDLS), is then extended to address several factors of practical relevance, such as noisy conditions, imperfect channel state information (CSI), and hardware impairments, thus yielding the Robust IDLS algorithm. Simulation results show that the proposed art significantly outperforms both classic receivers, such as the linear minimum mean square error (LMMSE), and recent CS-based state-of-the-art (SotA) alternatives, such as the sum-of-absolute-values (SOAV) and the sum of complex sparse regularizers (SCSR) detectors. …”
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Analysis of the Effect of Precipitation Type on Flow Simulation in Talar and Khoramabad Watershed by Mohammad Golshan, Abdollah Pirneia, Payam Ebrahimi, Abazar Esmali Ouri

“…Hydrological response units (HRU) was determined in 223 in Talar and 265 HRU khorramabad watershed by overlapping spatial layers. The SUFI2 algorithm was used to analyze parameter sensitivity and determine optimal values for parameters. …”
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Modeling Chaotic Behavior of Chittagong Stock Indices by Shipra Banik, Mohammed Anwer, A. F. M. Khodadad Khan

“…We have used well-known models such as, the genetic algorithm (GA) model and the adaptive network fuzzy integrated system (ANFIS) model as soft computing forecasting models. …”
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An Underwater Stereo Matching Method: Exploiting Segment-Based Method Traits without Specific Segment Operations by Xinlin Xu, Huiping Xu, Lianjiang Ma, Kelin Sun, Jingchuan Yang

“…In underwater images, irregular object surfaces and the absence of texture information make it difficult for stereo matching algorithms that rely on discrete disparity values to accurately capture the 3D details of underwater targets. …”
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Multiobjective Optimized Routing Protocol for VANETs by Taqwa O. Fahad, Abduladhem A. Ali

“…Furthermore, artificial bee colony (ABC) algorithm was used to concurrently optimize all used fuzzy systems and obtain the optimal highest rank of links’ cost values within which the neighbors could be selected as relay nodes in route discovery process. …”
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Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database. by Yang Xu, Chunxiao Song, Wenping Wei, Runfeng Miao

“…<h4>Results</h4>Our findings demonstrate that all models achieved AUROC values >0.7, with three models exceeding 0.75. Notably, the logistic regression model incorporating preoperative 48-hour maximum values and postoperative 24-hour maximum values exhibited the highest predictive accuracy (AUROC = 0.755, 95%CI: 0.7185-0.7912), outperforming other configurations. …”
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Development of a Technique for Discrete-Logical Decision-Making in Medical Information Systems by Islam A. Alexandrov, Vladimir Zh. Kuklin, Leonid M. Chervyakov, Sergei A. Sheptunov

“…The processing and feedforward structures for DSS are presented based on selected types of non-classical logic. The algorithms presented for solving decision-making problems are based on discrete-logic approximations of a priori and actual data, which are optimal or suboptimal, and they use information and value criteria. …”
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Messy Data in Education: Enhancing Data Science Literacy Through Real-World Datasets in a Master’s Program by Iraklis Varlamis

“…They also learn the importance of finding and integrating supplementary open data sources to enhance the value and depth of their analyses. …”
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