Unveiling users’ algorithm trust: The role of task objectivity, time pressure, and cognitive load by Ruoxin Yang, Sisheng Li, Yawei Qi, Jiali Liu, Qinghua He, Haichao Zhao

“…Using a weight estimation task selected by study 1, which was identified as high objectivity and comparable trust in human versus algorithmic decisions, study 2 investigated the algorithm trust of 51 college students under different cognitive loads and time pressures. …”
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EMB-YOLO: A Lightweight Object Detection Algorithm for Isolation Switch State Detection by Haojie Chen, Lumei Su, Riben Shu, Tianyou Li, Fan Yin

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Acceptance testing of a CT scanner with a knowledge-based iterative reconstruction algorithm by Maryangel Jhoseline Medina, Francisco Javier Funes, Aley Palau, Vanesa María Sanz, Amilcar Remigio Osorio, Mauro Namías

“… Implementation of efficient computed tomography (CT) detectors, automatic exposure control and iterative reconstruction algorithms allows to obtain high quality images while minimizing absorbed dose to the patients, in consonance with the ALARA criterion. …”
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Multistep PV power forecasting using deep learning models and the reptile search algorithm by Sameer Al-Dahidi, Hussein Alahmer, Bilal Rinchi, Abdullah Bani-Abdullah, Mohammad Alrbai, Osama Ayadi, Loiy Al-Ghussain

“…However, this is the first study to evaluate MGU in the context of PV forecasting, and its performance may vary under different case studies. …”
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Algorithms for Load Balancing in Next-Generation Mobile Networks: A Systematic Literature Review by Juan Ochoa-Aldeán, Carlos Silva-Cárdenas, Renato Torres, Jorge Ivan Gonzalez, Sergio Fortes

“…Our classification framework provides a basis for operators to evaluate algorithmic trade-offs in scenarios such as network fragmentation or edge computing. …”
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Image Enhancement Techniques for Images at Blur Motion and Different Noises by Sahlah Ali

“…The images get degraded due to environmental conditions and atmospheric difference, it is therefore important to retrieve original images using different algorithms of image processing. …”
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Iterative Adaptive Multi-State Constrained Localization Algorithm Based on Vision/inertial Fusion by JIE Xiaohan, LIU Ning, SHEN Kai, QI Wenhao, LIU Xueqin

“…[Methods] First, the tracking efficiency and real-time requirements of the rescue personnel's violent and complex movements in occluded space analyzed, an iterative adaptive algorithm was designed, and window data iteration was used to judge the excitation and trigger the initialisation condition to construct the measurement update; Second, the way of evaluating and screening the number of map points and pixel differentiation was studied, and a map point optimisation mechanism was introduced to improve the real-time performance of evaluating and screening map points; Finally, a simulation and test platform is built to validate the algorithm. …”
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Automated Detection of Aberrant Episodes in Epileptic Conditions: Leveraging EEG and Machine Learning Algorithms by Uddipan Hazarika, Bidyut Bikash Borah, Soumik Roy, Manob Jyoti Saikia

“…The intent of this study is to precisely detect epileptic episodes by leveraging machine learning and deep learning algorithms on EEG inputs. The proposed approach aims to evaluate the feasibility of developing a novel technique that utilizes the Hurst exponent to identify EEG signal properties that could be crucial for classification. …”
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Distributed denial-of-service (DDOS) attack detection using supervised machine learning algorithms by S. Abiramasundari, V. Ramaswamy

“…Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), K-Nearest Neighbours (KNN), Decision Tree (DT) supervised models, and Principle Component Analysis (PCA) feature selection method are used to differentiate between attack and regular traffic. The CICIDS2018, CICIDS2017, and CICDDoS-2019 datasets are used to evaluate the performances of ML algorithms. …”
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Dengue algorithms integrated into the IMCI guidelines: An updated assessment in five Southeast-Asian countries. by Stephanie Petzold, Kerstin D Rosenberger, Bridget Wills, Jacqueline Deen, Martin W Weber, Thomas Jaenisch, IDAMS IMCI study group

“…We aimed to evaluate the dengue algorithms incorporated into IMCI guidelines and discuss the need for harmonization, including an extension of the age range for IMCI.…”
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Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss by Rui Zhang, Yuanbing Guo, Xiaonan Zhai, Juan Wang, Xiaoyan Hao, Liu Yang, Lei Zhou, Jiawei Gao, Jiayun Liu

“…Three methods were used for screening 100+ clinical indicators, and five machine learning algorithms were used to develop and evaluate diagnostic models based on the most relevant indicators.ResultsMultivariate analysis revealed significant differences in several factors between the patients and the control group. 25-hydroxy vitamin D3 (25OHVD3) was the factor exhibiting the most prominent difference, and most patients presented deficiency in the levels of this vitamin. 25OHVD3 is associated with blood lipids, hormones, thyroid function, human papillomavirus infection, hepatitis B infection, sedimentation rate, renal function, coagulation function, and amino acids in patients with infertility. …”
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Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis by Qiqi Yan, Guiling Liu, Ruifeng Wang, Dandan Li, Xiaoli Chen, Jingjing Cong, Deguang Wang

“…Conclusion The RSF model may be a useful method for evaluating CVE risk in PD patients.…”
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Sunflower-based butterfly optimization algorithm with enhanced RNN for the harmonics elimination in multilevel inverter by V. Mohan, G. Krithiga, M. Thamil Alagan, V. Sathya

“…In this paper, the Sunflower based– Butterfly Optimization Algorithm (SF-BOA) is presented as a method for evaluating transcendental nonlinear equations using an MLI in a SHE approaches. …”
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Implementation of a Second-Order TVD Transport Algorithm in the General Ocean Model (GOM) by Jungwoo Lee, Jun Lee, Sang-Leen Yun, Seog-Ku Kim

“…This study presents the implementation of a scalar transport algorithm in the recently developed General Ocean Model (GOM), a three-dimensional, unstructured grid, finite volume/finite difference model. …”
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Machine heuristic in algorithm aversion: Perceived creativity and effort of output created by or with artificial intelligence by Sigurd Birk Heimstad, Anders Hauge Wien, Tarje Gaustad

“…Products and services labeled as AI-created are perceived differently than identical ones attributed to humans, reflecting the phenomenon of algorithm aversion. …”
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Diagnosing schizophrenia with routine blood tests: a comparative analysis of machine learning algorithms by Yavuz Selim Ogur, Ayse Erdogan Kaya, Nur Banu Ogur, Beyza Erdogan Akturk

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The Efficiency of Complex Differential Treatment of the Patients with Systemic Lupus Erythematous Considering the Features of Bone Tissue Structure Remodeling by Abrahamovych U., Tsyhanyk L., Abrahamovych O., Farmaha M., Romaniuk O.

“…Considering the peculiarities of bone remodeling, we have developed an algorithm of a complex differential treatment of patients out of each subgroups: І group – calcium carbonate /calcium citrate 1000.0 mg/a day + vit D 600.0 IU/a day (Vitamin D deficiency (>20.0 ng/l)/ vit D1000.0 IU/a day (vitamin D deficiency (10.0-20.0 ng/l)/ vit D 2000.0 vitamin D deficiency (<10.0 ng/l); ІІ subgroup – calcium carbonate/calcium citrate 1000.0 mg/a day + vit D 600.0 IU/ a day (vitamin D deficiency(>20.0 ng/l)/ vit D1000.0 IU/ a day (vitamin D deficiency (10.0-20.0 ng/l)/ vit D2000.0 vitamin D deficiency (<10.0 ng/l) + alendronate 70.0 mg/a week; ІІІ subgroup – the diet enriched with calcium + alfacalcidol 1.0 mcg/24 hrs + alendronate 70.0 mg/ a week; FV subgroup – the diet enriched with calcium+ alfacalcidol 1.0 mcg/24 hrs. …”
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Theoretical and Numerical Study for Volterra−Fredholm Fractional Integro-Differential Equations Based on Chebyshev Polynomials of the Third Kind by Zineb Laouar, Nouria Arar, Abdellatif Ben Makhlouf

“…A Chebyshev−Gauss quadrature is involved to evaluate integrals for more precision. Two types of equations are studied to obtain algebraic systems solvable using the Gauss elimination method for linear equations and the Newton algorithm for nonlinear ones. …”
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Enhanced Framework for Lossless Image Compression Using Image Segmentation and a Novel Dynamic Bit-Level Encoding Algorithm by Erdal Erdal, Alperen Önal

“…A dedicated data structure was developed to facilitate lossless storage and precise reconstruction of compressed data, ensuring data integrity throughout the process. The evaluation results showed that the DEA outperformed all benchmark encoding algorithms, achieving an improvement percentage (IP) value of 45.12, indicating its effectiveness as a highly efficient encoding method. …”
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Performance Evaluation Method of Online Charging System by Jinjuan Zhang, Na Chen, Hong Hu, Xinyi Xu

“…A set of performance evaluation method for different test scenarios of OCS was proposed, which provided an effective algorithm to evaluate the performance indicators of different test scenarios. …”
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