An investigation into multi-objective decision-making in fresh cold chain supply chain networks within a dual distribution framework by Junyan Sun, Xing Li, Zefei Chen

“…Additionally, simulated annealing is introduced to optimize the offspring population after crossover and mutation operations, further enhancing population quality, accelerating convergence, and strengthening local search capabilities. The algorithm results show that, compared to the traditional NSGA-II and the SA-NSGA-II algorithms with random initialization, the LHS-SA-NSGA-II algorithm demonstrates clear advantages in terms of total cost, carbon emissions, and distribution time, confirming its superiority in optimizing cold chain networks. …”
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Advanced DFE, MLD, and RDE Equalization Techniques for Enhanced 5G mm-Wave A-RoF Performance at 60 GHz by Umar Farooq, Amalia Miliou

“…Moreover, the performance of the proposed algorithms is compared to three commonly used algorithms: the simple least mean square (LMS) algorithm, the constant modulus algorithm (CMA), and the adaptive median filtering (AMF), demonstrating superior results in both QPSK and 16-QAM and extending the transmission distance up to 120 km. …”
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Enhancing recommender systems with provider fairness through preference distribution awareness by Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó

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Maximizing Performance of Geopolymer Mortar: Optimizing Basalt and Carbon Fiber Content Composition by Katarzyna Ewa Buczkowska, Petr Louda, Artem Sharko, Oleksandr Sharko, Dmitry Stepanchikov, Ludek Jancik, Piotr Los, Kinga Plawecka, Van Su Le

“…Firstly, an algorithm-built hybrid implementation is proposed, combining experimental results with various data processing methods. …”
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Identification of immune-related biomarkers linked to systemic lupus erythematosus and dilated cardiomyopathy through integrated bioinformatics analysis and multiple machine learni... by Gaijie Li, Liwen Lin, Shushu Wang, Kachun Lu, KaMan Szeto, Guiting Zhou, Xianwen Tang, Chuanjin Luo, Chuanjin Luo

“…Finally, we applied the CIBERSORT algorithm to assess immune cell infiltration in both DCM and SLE patients.ResultsThrough DEG and WGCNA in the DCM and SLE datasets, we identified a total of 141 key module genes and 24 commonly expressed differentially expressed genes. …”
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Two New Bio-Inspired Particle Swarm Optimisation Algorithms for Single-Objective Continuous Variable Problems Based on Eavesdropping and Altruistic Animal Behaviours by Fevzi Tugrul Varna, Phil Husbands

“…The experimental results show that both the BEPSO and AHPSO algorithms provide very competitive performance on the unconstrained test suites and the constrained real-world problems. …”
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Detecting Redundant Health Survey Questions by Using Language-Agnostic Bidirectional Encoder Representations From Transformers Sentence Embedding: Algorithm Development Study by Sunghoon Kang, Hyewon Park, Ricky Taira, Hyeoneui Kim

“…ResultsAmong the 3 algorithms, SBERT-LaBSE demonstrated the highest performance in assessing the question similarity across both languages, achieving area under the receiver operating characteristic and precision-recall curves of >0.99. …”
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Towards automated and real-time multi-object detection of anguilliform fishes from sonar data using YOLOv8 deep learning algorithm by Tao Huang, Xiaoqin Zang, Grigoriy Kondyukov, Zhangshuan Hou, Guanze Peng, Joachim Pander, Josef Knott, Juergen Geist, Meklit Berihun Melesse, Paul Jacobson, Zhiqun Daniel Deng

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Energy Scheduling in a Hybrid DC/AC Micro-Grid Considering Battery/Wind/Photovoltaic Power Sources using Heuristic Optimization Algorithm by Javad Ebrahimi, Taher Niknam, Bahman Bahmanifirouzi

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Comparison of Support Vector Machine (SVM) and Random Forest (RF) Algorithm Performance with Random Undersampling Technique to Predict Gestational Diabetes Mellitus Risk by Annisa Damayanti, Anna Baita

“…While the RF model showed an accuracy result of 99%, tuning was also carried out using the appropriate parameters resulting in the same accuracy of 99%, with a ROC-AUC value of 99% as well. From both models, it shows that the SVM and RF algorithms have very good prediction performance in predicting DMG, but the SVM algorithm can predict DMG better than RF because the number of prediction errors is lower.…”
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Tomographic reconstruction algorithms for retrieving two-dimensional ice cloud microphysical parameters using along-track (sub)millimeter-wave radiometer observations by Y. Liu, Y. Liu, I. S. Adams

“…Both tomographic algorithms are developed based on a hybrid of Bayesian Monte Carlo integration (MCI) and the optimal estimation method (OEM). …”
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A New Proposal for Intelligent Continuous Controller of Robotic Finger Prostheses Using Deep Deterministic Policy Gradient Algorithm Through Simulated Assessments by Guilherme de Paula Rúbio, Matheus Carvalho Barbosa Costa, Claysson Bruno Santos Vimieiro

“…To improve the adaptability of the hand prosthesis, we propose a new smart control for a physiological finger prosthesis using the advantages of the deep deterministic policy gradient (DDPG) algorithm. A rigid body model was developed to represent the finger as a training environment. …”
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Improvement of classification accuracy of functional near-infrared spectroscopy signals for hand motion and motor imagery using a common spatial pattern algorithm by Omid Asadi, Mahsan Hajihosseini, Sima Shirzadi, Zahra Einalou, Mehrdad Dadgostar

“…Signals from 20-channel fNIRS were utilized, with input features including statistical descriptors such as mean, variance, slope, skewness, and kurtosis. The CSP algorithm was integrated into both SVM and LDA classifiers to reduce dimensionality. …”
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How to Distinguish Attenuated Forms of Mucopolysaccharidosis and Articular Forms of Juvenile Arthritis: Development of Diagnostic Algorithm Based on the Data from Multicenter Retro... by Natalia V. Buchinskaya, Nato D. Vashakmadze, Natalia V. Zhurkova, Lubov S. Sorokina, Liudmila К. Mikhaylova, Leyla S. Namazova-Baranova, Ekaterina Yu. Zakharova, Valentina I. Larionova, Mikhail M. Kostik

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Integrated identification of immune-related therapeutic targets for interstitial cystitis via multi-algorithm machine learning: transcriptomic profiling and in vivo experimental va... by Yifan Wang, Chuanzan Zhou, Facai Zhang, Yunkai Yang, Jia Miao, Xuanhan Hu, Xinyu Zhang, Alin Ji, Qi Zhang

“…A diagnostic model was constructed using 113 machine learning algorithms. Immune cell infiltration was assessed via CIBERSORT, and single cell sequencing elucidated cellular heterogeneity. …”
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A Numerical Algorithm for Solving Higher-Order Nonlinear BVPs with an Application on Fluid Flow over a Shrinking Permeable Infinite Long Cylinder by Laila Y. Al Sakkaf, Qasem M. Al-Mdallal, U. Al Khawaja

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A continuous responder algorithm to optimize clinical management of small-cell lung cancer with progastrin-releasing peptide as a simple blood test by Thomas Muley, Xiaotong Zhang, Stefan Holdenrieder, Catharina M Korse, Xiu-yi Zhi, Rafael Molina, Zhongjuan Liu, Gunther Hartmann, Michel M van den Heuvel, Kun Qian, Ramon Marrades, Christine Engel, Ying He, Birgit Wehnl, Farshid Dayyani, Felix Herth

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A Very Fast Decision Tree Algorithm for Real-Time Data Mining of Imperfect Data Streams in a Distributed Wireless Sensor Network by Hang Yang, Simon Fong, Guangmin Sun, Raymond Wong

“…Experimental results from both synthetic and real-life data show that the new model is superior to standard algorithms.…”
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A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation by Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

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A Proposed Therapeutic Algorithm Based on Multiple Case Analysis Regarding the Repair Options of Iatrogenic Biliary Lesions Following Open and Laparoscopic Surgery by Cosmin Alec Moldovan, Dan Florin Ungureanu, Vladimir Beliș

“…Objectives: the goal of this paper is to present an algorithm of choices and their consequences for clinical conduit in the case of iatrogenic biliary lesions discovered in the course of open or laparoscopic procedures of the main biliary pathways, based on our experience. …”
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