Hierarchical Structure of the Program Used by Filamentous Fungi to Navigate in Confining Microenvironments by Gala Montiel-Rubies, Marie Held, Kristi L. Hanson, Dan V. Nicolau, Radu C. Mocanasu, Falco C. M. J. M. van Delft, Dan V. Nicolau

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%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests by Jacques K. Muthusi, Peter W. Young, Frankline O. Mboya, Samuel M. Mwalili

“…This study evaluated the suitability of DBS from venous, microcapillary and direct spotting DBS, hence multiple diagnostic tests which were compared to plasma specimen. We also used the macro to reproduce results of published work on evaluating performance of multiple classification machine learning algorithms for predicting coronary artery disease. …”
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Design and Implementation of Novel Testing System for Intelligent Tire Development: From Bench to Road by Ti Wu, Xiaolong Zhang, Dong Wang, Weigong Zhang, Deng Pan, Liang Tao

“…This work provides a versatile and reliable platform for advancing intelligent tire technologies, supporting both future research and industrial applications.…”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot Optimization Algorithm (COA), Smell Agent Optimization (SAO), and Northern Goshawk Optimization (NGO) to improve ALE prediction accuracy. …”
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Machine Learning Applications for Predicting High-Cost Claims Using Insurance Data by Esmeralda Brati, Alma Braimllari, Ardit Gjeçi

“…The research analyses the variables of claims, vehicles, and insured parties that influence the classification of high-cost claims. …”
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Traffic Classification in Software-Defined Networking Using Genetic Programming Tools by Spiridoula V. Margariti, Ioannis G. Tsoulos, Evangelia Kiousi, Eleftherios Stergiou

“…However, Genetic Programming-based techniques require significantly higher execution time compared to other machine learning techniques. This is most evident in the feature construction method where at each generation of the genetic algorithm, a set of learning models is required to be trained to evaluate the generated artificial features.…”
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Deep learning-based edge detection for random natural images by Kanija Muntarina, Rafid Mostafiz, Sumaita Binte Shorif, Mohammad Shorif Uddin

“…Through comprehensive experimentation and analysis, this research contributes to advancing the state-of-the-art in edge detection for random natural images, providing insights into the optimal application of deep learning techniques in this domain.…”
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Synchronous Remote Calibration for Electricity Meters: Application and Optimization by Zhiyong Zha, Hanfang Ge, Chengcheng Zou, Fei Long, Xingfeng He, Geng Wu, Chenxi Dong, Tianping Deng, Jiaxiang Xu

“…Experimental results reveal that the proposed algorithm surpasses other comparable methods in its category, highlighting its capability to improve resource efficiency in distributed remote calibration systems. …”
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Predicting financial failure under traditional models and financial safety indicators (Proposed model) - analytical research for a sample of Banks listed on Iraqi stock exchange by Dr. Hayder Adnan Ghanawi

“…Giving weights based on the outputs of the genetic algorithm for the period from 2017-2022 for the Middle East Bank as a successful bank and for the Dar es Salaam Bank for the period 2012-2014 as a failed bank, and after testing the proposed model and comparing its results with the models of Altman, Sheerod, Kida, the research reached agreement on the results for the proposed model with typical Altman, sheerod. …”
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Dose estimates of 137Cs in bank voles inhabiting research sites within the Chornobyl Exclusion Zone considering the age-related dynamics of change in physiological parameters by I. P. Drozd, V. V. Pavlovskyi

“…A detailed dose estimation algorithm is being proposed. Dose estimates for internal irradiation according to the authors' method and the method of the International Commission on Radiological Protection are being compared.…”
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Effects of Matching on Evaluation of Accuracy, Fairness, and Fairness Impossibility in AI-ML Systems by Phillip Honenberger, Omolade Ola, William Mapp, Pilhwa Lee

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Improved and Optimized GNSS-IR Sea Surface Height Retrieval Based on Noise Elimination and Lightweight Airborne Multi-GNSS Multi-UAV Fusion by Naiquan Zheng, Ying Xu, Fuxi Zhao, Mingzhen Xin, Fanlin Yang

“…It is urgent to carry out high-precision inversion research of GNSS-IR sea surface height on UAV telemetry platforms equipped with GNSS receivers and lightweight receiver antennas. …”
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The Cart-Pole Application as a Benchmark for Neuromorphic Computing by James S. Plank, Charles P. Rizzo, Chris A. White, Catherine D. Schuman

“…We are motivated to help researchers in neuromorphic computing to be able to compare their work with common benchmarks, and in this paper we explore using the cart-pole application as a benchmark for spiking neural networks. …”
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A bi-decision model for electric vehicle dispatch and battery swapping station charging schedule problem by Yong Su, Shishun Tian, Hao Wu, Xia Li

“…Lastly, a comprehensive comparison between the proposed ATS algorithm and the MOPSO algorithm is presented to show the effectiveness and competitiveness.…”
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探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

“…Enhancing usage incentive, continuously refining the accuracy of the recommendation system’s algorithms, and conducting comparative analyses with existing systems are essential to improve the recommendation system’s perceived utility. …”
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Prediction of Breakdown Voltage of Long Air Gaps Under Switching Impulse Voltage Based on the ISSA-XGBoost Model by Zisheng Zeng, Bin Song, Shaocheng Wu, Yongwen Li, Deyu Nie, Linong Wang

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Study of in situ stress inversion of deeply incised valleys considering the river evolution process by Xianliang Wang, Changgui Zhao, Fenyuan Cheng, Zhiwei Ma, Wei Qi, Yinling Dou, Hao Lan, Jianhai Zhang, Benguo He, Lingying Peng, Wei Du

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Short-interval interhemispheric inhibition does not originate from the motor hotspot by David Emanuel Vetter, Andreas Jooß, Tuomas P. Mutanen, Gábor Kozák, Ulf Ziemann

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Identification and Evaluation of Profitable Technical Trading Rules in the Cryptocurrency Market: A Mixed Method Approach by Milad Abbasi, Somayeh Al-sadat Mousavi, Abbasali Jafari Nodoushan

“…ObjectiveThe purpose of this paper is to identify the most effective technical indicators in the cryptocurrency market, as viewed by market experts, optimize their performance using optimization algorithms, and ultimately compare the performance of the selected trading rules against each other and the buy-and-hold strategy. …”
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Fractional order modelling and optimal control of dual active bridge converters by Zengbo Dong, Peng Yang, Qian Li, Mingxiao Zhang, Yujian Chang, Shuohe Wang

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