The joint policy of production, maintenance, and product quality in a multi-machine production system by reinforcement learning and agent-based modeling by Mohammad Reza Nazabadi, Seyed Najafi, Ali Mohaghar, Farzad Movahedi Sobhani

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Research on Fusion of Locomotive Safety Monitoring and Detection Data and Its Application by GONG Li, QIAO Bin, ZHAO Chao, YAO Kai

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Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach Exploration by Andrés Cacereño, David Greiner, Andrés Zuñiga, Blas J. Galván

“…Multiobjective evolutionary algorithms are combined with discrete event simulation while the performance of two state-of-the-art multiobjective evolutionary algorithms is studied. …”
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Z-Score Experience Replay in Off-Policy Deep Reinforcement Learning by Yana Yang, Meng Xi, Huiao Dai, Jiabao Wen, Jiachen Yang

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Hybrid multi-objective node deployment for energy-coverage problem in mobile underwater wireless sensor networks by Salmah Fattah, Ismail Ahmedy, Mohd Yamani Idna Idris, Abdullah Gani

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Intelligent Trust Evaluation Method for Underwater Sensor Networks Based on Fuzzy Clustering and Dynamic Weight Allocation by Zhaohui WANG, Guangjie HAN, Jiaxin DU, Chuan LIN, Lei WANG

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Dynamic Optimization of Bus Line Schedule in Commuter Corridor Based on Bus IC Card Data by Zhihong Li, Han Xu, Shiyao Qiu, Jun Liu, Kairan Yang, Jiahao Wu

“…To solve the model, a dynamic departure interval optimization method based on improved Genetic Algorithm (GA) was designed under different decision preferences. …”
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Developing an Integrative Data Intelligence Model for Construction Cost Estimation by Zainab Hasan Ali, Abbas M. Burhan, Murizah Kassim, Zainab Al-Khafaji

“…In this research, extreme gradient boosting is developed as an advanced input selector algorithm and coupled with three AI models, including random forest (RF), artificial neural network (ANN), and support vector machine (SVM) for cost estimation. …”
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A Framework for Automatic IT Architecture Modeling: Applying Truth Discovery by Margus Välja, Robert Lagerström, Ulrik Franke, Göran Ericsson

“…The usefulness of the proposed framework is demonstrated in a study where models using three tools are created, namely; Archi, securiCAD, and EMFTA.…”
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Preference-based expensive multi-objective optimization without using an ideal point by Peipei Zhao, Liping Wang, Qicang Qiu

“…The experimental results show that the proposed method is competitive compared to three state-of-the-art algorithms.…”
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Improving myocardial infarction diagnosis with Siamese network-based ECG analysis. by Vaibhav Gadag, Simrat Singh, Anshul Harish Khatri, Shruti Mishra, Sandeep Kumar Satapathy, Sung-Bae Cho, Abishi Chowdhury, Amrit Pal, Sachi Nandan Mohanty

“…It was converted into three classes Myocardial Infarction, Abnormal heartbeat, and Normal.…”
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Contagious disease outbreaks: Distinguishing between constant and variable order using the SEIAR model by S.Sepehr Tabatabaei, Mohammadreza Dehghan

“…The methodology involves a three-phase process: selecting an appropriate model, estimating its parameters, and identifying the order of derivation. …”
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Research on Automatic Test Case Generation Technology Based on Finite State Machines and Function Block Diagrams by LI Ning, XIONG Yan, DING Yaoguo

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FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA by N. G. Zagoruiko, O. A. Kutnenko, I. A. Borisova, V. V. Dyubanov, D. A. Levanov, O. A. Zyranov

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Online prediction of optimal deep brain stimulation contacts from local field potentials in Parkinson’s disease by Marjolein Muller, Stefano Scafa, Ibrahem Hanafi, Camille Varescon, Chiara Palmisano, Saskia van der Gaag, Rodi Zutt, Niels A. van der Gaag, Carel F. E. Hoffmann, Jocelyne Bloch, Mayte Castro Jiménez, Julien F. Bally, Philipp Capetian, Ioannis U. Isaias, Eduardo M. Moraud, M. Fiorella Contarino

“…Using beta-band power measures (13–35 Hz), we ranked channels based on clinical contact-level choices and developed two prediction algorithms: (i) a “decision tree” method for in-clinic use and (ii) a “pattern based” method for offline validation. …”
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Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders by Wei-Chun Hsu, Tommy Sugiarto, Yi-Jia Lin, Fu-Chi Yang, Zheng-Yi Lin, Chi-Tien Sun, Chun-Lung Hsu, Kuan-Nien Chou

“…A comparison of the various methods and features for classifying the three groups revealed that a combination of time domain and gait temporal feature-based classification with the Multilayer Perceptron (MLP) algorithm outperformed the other methods of feature-based classification. …”
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Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming by Shyamal Mundada, Pooja Jain

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The First Step of AI in LEO SOPs: DRL-Driven Epoch Credibility Evaluation to Enhance Opportunistic Positioning Accuracy by Jiaqi Yin, Feilong Li, Ruidan Luo, Xiao Chen, Linhui Zhao, Hong Yuan, Guang Yang

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A Cooperative Motion Control Using Leader-Follower Approach for Unmanned Underwater Vehicle by Jingxiang Feng, Yang Cao, Xueman Fan, Guang Yang, Jingwei Dong

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Guideline for the use of therapeutic drug monitoring of antipsychotics to individualize the selection of therapy in the treatment of exacerbation of schizophrenia by S. S. Potanin, M. M. Morozova, A. G. Beniashvili, D. S. Burminskiy, I. I. Miroshnichenko

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