Bayesian Network-Based Landslide Susceptibility Safe Route Assessment in the Face of Uncertain Knowledge and Various Information by Xinyu Gao, Bo Wang, Wen Dai, Yuanmin Liu

“…Unfortunately, little research has addressed this issue in depth. In this study, we propose an integrated framework that combines a Bayesian network (BN)-based landslide susceptibility map (LSM) with an improved A* algorithm for safe and efficient route planning. …”
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On the Use of Image Analysis for Hematocrit Evaluation in Dried Blood Spots by Chrysa Daousani, Nađa Kostić, Anđelija Malenović, Milena Rmandić, Yannis Dotsikas

“…Various domains of life sciences and drug research extensively use DBSs as a sampling technique. …”
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An optimized solution for tackling effects of climate change on an educational building based on net zero energy technique by Kimiya Aram, Roohollah Taherkhani

“…In order to minimize the load of cooling, heating and the initial investment of the building for the current and future climate, the genetic algorithm with non-globe sorting was used in the jEPlus environment. …”
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Assessment of Teaching Quality of Traditional Decorative Patterns in Colleges and Universities Using an MCDM Approach and Circular Intuitionistic Information by Zi Wang, Liping Pan

“…This paper aims to analyze this assessment process using an enhanced framework of circular intuitionistic fuzzy sets (C-IFS) and the Dombi triangular norm. The aim of this research is to apply the Dombi t-norm (DTN) and t-conorm (DTCN) for aggregating the information within the circular intuitionistic fuzzy (C-IF) framework to evaluate the teaching quality of traditional decorative patterns. …”
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Using data mining techniques to improve inflation rate management by Fatemeh Zahra Abedi Samakoosh, Soheila Karbasi

“…Then, by running the traveling salesman algorithm on the graph, we found a path where the group of foods and beverages is the bottleneck of the research subject. …”
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Ensemble prediction modeling of flotation recovery based on machine learning by Guichun He, Mengfei Liu, Hongyu Zhao, Kaiqi Huang

“…First, the outliers are processed using the box chart method and filtering algorithm. Then, the decision tree (DT), support vector regression (SVR), random forest (RF), and the bagging, boosting, and stacking integration algorithms are employed to construct a flotation recovery prediction model. …”
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Counting touching wheat grains in images based on elliptical approximation by D. R. Avzalov, E. G. Komyshev, D. A. Afonnikov

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Passive Drag Reduction Optimization for Complex Commercial Vehicle Models by G. Liao, M. Xue, L. Yue, H. Yang, P. Guo, X. Hu, Z. Wang, T. Ma

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Optimising Warehouse Order Picking: Real Case Application in the Shoe Manufacturing Industry by Rodrigo Furlan de Assis, William de Paula Ferreira, Alexandre Frias Faria, Luis Antonio Santa-Eulalia, Mustapha Ouhimmou, Ali Gharbi

“…It also paves the way for future research in warehouse logistics, especially by adapting similar algorithmic strategies to various complex and dynamic warehouse environments, thus advancing the field of warehouse management.…”
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A study on determination of an optimized detector for single photon emission computed tomography by Mohammad Khoshakhlagh, Jalil Islamian, Mohammad Abedi, Babak Mahmoudian, Ali Mardanshahi

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A Robust Algorithm for Estimating Total Suspended Solids (TSS) Using Sentinel-2: Case Study in Coastal Waters of Teluk Awur, Jepara, Indonesia by Anis Yasmin Sabila, Lilik Maslukah, Anindya Wirasatriya, Elis Indrayanti, Indra Budi Prasetyawan, Sugeng Widada

“…This research aims to develop an empirical TSS algorithm model that specifically applies to the coastal waters of Teluk Awur, Jepara. …”
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Differential diagnosis of ovarian neoplasm using contrast-enhanced ultrasound (clinical case) by N. Е. Safonova, N. М. Podzolkova, V. В. Osadchev, K. V. Babkov, I. Е. Fadeev

“…That’s why an important task is to create optimal algorithms for diagnosing and routing patients in case of suspicion of an adnexal tumor. …”
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A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering by Eisha Hassan, Fazila Malik, Qazi Waqas Khan, Nadeem Ahmad, Muhammad Sardaraz, Faten Khalid Karim, Hela Elmannai

“…Document Clustering has attracted the interest of many researchers who have created several solutions to this problem by combining different techniques, models, and algorithms. …”
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Enhancing Injector Performance Through CFD Optimization: Focus on Cavitation Reduction by Jose Villagomez-Moreno, Aurelio Dominguez-Gonzalez, Carlos Gustavo Manriquez-Padilla, Juan Jose Saucedo-Dorantes, Angel Perez-Cruz

“…The integration of optimization algorithms further enhances these processes by facilitating studies on mechanical behavior and accelerating iterative operations. …”
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Research on Application of Big Data in Internet Financial Credit Investigation Based on Improved GA-BP Neural Network by Fei-Peng Wang

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Association between the stress hyperglycemia ratio and all-cause mortality in patients with hemorrhagic stroke: a retrospective analysis based on MIMIC-IV database by Wei Zhu, Wei Zhu, Dingke Wen, Lijuan Duan, Lijuan Duan, Chaofeng Fan, Chaofeng Fan, Yan Jiang, Yan Jiang

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Ensemble distribution model of Muga Silkworm (Antheraea assamensis) and its primary host plant Soalu (Litsea monopetala) in defined climate space by Kuladip Sarma, Vivek Chetry, Amal Bawri, Keshob Jyoti Borah, Bulbuli Khanikor, Tarali Kalita, Banasri Mech, Malabika Kakati Saikia, Manas Das

“…Altogether two model algorithms were used to get the final ensemble model for both the MSW and the two primary host plants. …”
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Validation of Artificial Intelligence Computer-Aided Detection on Gastric Neoplasm in Upper Gastrointestinal Endoscopy by Hannah Lee, Jun-Won Chung, Sung-Cheol Yun, Sung Woo Jung, Yeong Jun Yoon, Ji Hee Kim, Boram Cha, Mohd Azzam Kayasseh, Kyoung Oh Kim

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Design and energy management research of integrated microgrid with light storage and charging with double-layer optimization scheduling model by Pan Zhai

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Research on operation optimization of heavy-haul combined trains in long and steep downhill sections based on reinforcement learning by WANG Jianhua, WANG Chunyi, ZENG Zhou, WANG Cong, WANG Qingyuan, YANG Hang

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