Differential diagnosis of non-Hodgkin's B-cell lymphomas by A. M. Kovrigina, N. A. Probatova

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Prediction of Clavien Dindo Classification ≥ Grade III Complications After Epithelial Ovarian Cancer Surgery Using Machine Learning Methods by Aysun Alci, Fatih Ikiz, Necim Yalcin, Mustafa Gokkaya, Gulsum Ekin Sari, Isin Ureyen, Tayfun Toptas

“…We used 49 predictors to develop the best algorithm. Mean absolute error, root mean squared error, correlation coefficients, Mathew’s correlation coefficient, and F1 score were used to determine the best performing algorithm. …”
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SPARQ: Efficient Entanglement Distribution and Routing in Space–Air–Ground Quantum Networks by Mohamed Shaban, Muhammad Ismail, Walid Saad

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Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations by Yuchao Miao, Jiwei Li, Ruigang Ge, Chuanbin Xie, Yaoying Liu, Gaolong Zhang, Mingchang Miao, Shouping Xu

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Speech emotion recognition using long-term average spectrum by Huerta-Hernández Luis David, Meléndez-Acosta Nayeli Joaquinita, Troncoso-Romero David Ernesto, Ramírez-Pacheco Julio César, León-Borges Jose Antonio

“…Our framework is evaluated through a comparative study, where classifiers such as artificial neural network, K-nearest neighbours, logistic regression, Bayesian algorithms, tree-based logistics, and support vector machine were used. …”
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Path Planning Design and Experiment for a Recirculating Aquaculture AGV Based on Hybrid NRBO-ACO with Dueling DQN by Zhengjiang Guo, Yingkai Xia, Jiajun Liu, Jian Gao, Peng Wan, Kan Xu

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An integrated approach to the diagnosis of bacterial and fungal bloodstream infections in cancer patients by O. Yu. Kutsevalova, Yu. Yu. Kozel, V. V. Dmitrieva, O. V. Kozuk, I. B. Lysenko

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Comparison between clinician and machine learning prediction in a randomized controlled trial for nonsuicidal self-injury by Moa Pontén, Oskar Flygare, Martin Bellander, Moa Karemyr, Jannike Nilbrink, Clara Hellner, Olivia Ojala, Johan Bjureberg

“…As both prediction approaches achieved modest accuracy, the current results indicate the need for further research to enhance the predictive power of machine-learning algorithms. …”
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A study on monthly sales forecasting of new energy vehicles in urban areas using the WOA-BiGRU model. by Xiangtu Li

“…Its prediction results are compared with those of the particle swarm optimization (PSO) algorithm. …”
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Prediction of Fading for Painted Cultural Relics Using the Optimized Gray Wolf Optimization-Long Short-Term Memory Model by Zhen Liu, An-Ran Zhao, Si-Lu Liu

“…In particular, the investigation of fading mechanisms is essential for virtual restoration to accurately recreate the original appearance of artifacts and facilitate humanistic and historical research. For the purpose of investigating the color fading mechanism of pigments, we propose a color fading time series model using a combined long short-term memory recurrent neural network modified by the gray wolf optimization algorithm (GWOAD-LSTM). …”
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Energy storage configuration considering user-shared costs in peak shaving auxiliary services with improved multi-objective particle swarm optimization by Yiyou Xing, Jin Shen, Xinru Li

“…These functions are addressed using the improved multi-objective particle swarm optimization algorithm. This paper concludes with a case study of a residential microgrid, comparing and analyzing the economic and operational effectiveness of the proposed method. …”
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Analysis of global stock market development-Integration of clustering, classification, and shapley values. by Marcin Stawarz

“…This study aims to analyze the development of global stock exchanges by integrating clustering, classification, and Shapley Values to identify growth patterns and understand the differences in market characteristics and dynamics. The research applies the K-means algorithm for clustering, which enables the segmentation of exchanges based on their similarities. …”
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Design and Implementation of Low Voltage Power Communication System Based on Single Frequency Communication by Peiling ZHANG, Keke ZHAO

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Deep learning and digital twin integration for structural damage detection in ancient pagodas by Sida Xu, Haonan Chen

“…The improved YOLO algorithm is then used to evaluate detection performance under varying weather and lighting conditions. …”
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Deployment and Operation of Battery Swapping Stations for Electric Two-Wheelers Based on Machine Learning by Yu Feng, Xiaochun Lu

“…Compared with the original BSSs layout, the machine-learning algorithm proposed in this study can cover more factors and avoid the subjectivity of site selection. …”
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Detection of Montage in Lossy Compressed Digital Audio Recordings by Rafał KORYCKI

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Three-Dimensional Integrated Guidance and Control for Near Space Interceptor Based on Robust Adaptive Backstepping Approach by Changsheng Gao, Chunwang Jiang, Yan Zhang, Wuxing Jing

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Well-log lithofacies classification based on machine learning for Chang-7 member in Longdong area of Ordos Basin by SHEN Li,WANG Caizhi,NING Congqian,LIU Yingming,WANG Hao

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High-Order Spectral Method of Density Estimation for Stochastic Differential Equation Driven by Multivariate Gaussian Random Variables by Hongling Xie

“…In this paper, we propose a high-order algorithm of gPC-based density estimation where SPDE driven by multivariate Gaussian random variables. …”
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Heuristics for Multiobjective Optimization of Two-Sided Assembly Line Systems by N. Jawahar, S. G. Ponnambalam, K. Sivakumar, V. Thangadurai

“…This paper proposes two heuristics to evolve optimal Pareto front for the TALBP under consideration: Enumerative Heuristic Algorithm (EHA) to handle problems of small and medium size and Simulated Annealing Algorithm (SAA) for large-sized problems. …”
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