Classification of Particulate Matter (PM2.5) Concentrations Using Feature Selection and Machine Learning Strategies by Matara Caroline Mongina, Nyambane Simpson Osano, Yusuf Amir Okeyo, Ochungo Elisha Akech, Khattak Afaq

“…This research employed machine learning approaches to classify acceptable or non-acceptable particulate matter (PM2.5) concentrations using a dataset that was obtained from the Nairobi expressway road corridor. …”
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Comprehensive MILP Formulation and Solution for Simultaneous Scheduling of Machines and AGVs in a Partitioned Flexible Manufacturing System by Cheng Zhuang, Jingbo Qu, Tianyu Wang, Liyong Lin, Youyi Bi, Mian Li

“…The findings of this research are expected to contribute to the development of advanced scheduling strategies in automated manufacturing systems.…”
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Machine learning-based prediction of CO2 solubility in methyldiethanolamine solutions: A comparative study by Sajjad Fazeli, Mohammad Amin Moradkhani, Behrouz Bayati

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Local corner smoothing based on deep learning for CNC machine tools by Bai Jiang, Rong Sun, Ze-long Li, Liang Xu, Huang Liao, Xiao-yan Teng, Bing Li

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Development and Application of a Software Tool to Support the Teaching of Formal Languages by A. P. Sergushicheva, E. N. Davydova

“…A software training system has been created that allows you to link the theory of formal languages with high-level languages through appropriate examples. The algorithm of checking the correctness of the task execution by means of syntactic analysis of the program entered by the student and imitation of its execution is developed and implemented in the specified system. …”
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Simulation and Optimization of Metro Train Braking Rate under the Timing Condition by PAN Yang

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Inverse Design of Metamaterial Absorbers for Far-Infrared CMOS Detectors by Tiantian Shi, Wenbin Zhou, Xiangze Liu, Wei Si, Zhangnan Li, Yiming Liao, Xiaoli Ji

“…The inverse design of the MAs is applied using binary coding and a staged genetic algorithm (SGA) to enhance efficiency and flexibility for ultra-broadband absorptivity. …”
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Integrating Social Sustainability into Supply Chain Design: Optimization of a Capacitated Two-Echelon Location-Routing Problem by Mohamed Nafea, Lamia A. Shihata, Maggie Mashaly

“…Under the umbrella of optimization technology, the algorithm used to solve the problem is a genetic algorithm. …”
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Advances in Principle of Electrical Impedance Tomography and Its Application in Diagnosis and Treatment of Pulmonary Diseases by Quchao ZOU, Jinjiang JIN, Jianping YE, Lijian WANG, Yiwen WANG, Tianhai HUANG, Jucheng ZHANG, Yonghua CHU

“…This paper introduces the basic principles of lung EIT, analyzes the research progress and existing problems of the technology from the perspectives of hardware systems, imaging algorithms, and clinical applications (such as lung ventilation, lung perfusion, and lung function assessment), and discusses the development direction to provide ideas for expanding the clinical application of lung EIT.…”
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SBNNR: Small-Size Bat-Optimized KNN Regression by Rasool Seyghaly, Jordi Garcia, Xavi Masip-Bruin, Jovana Kuljanin

“…On the other hand, researchers are interested in using machine learning methods to analyze this scale of data. …”
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HSoMLSDP: A Hybrid Swarm-Optimized Machine Learning Framework for Software Defect Prediction by Madhusmita Das, Biju R. Mohan, Ram Mohana Reddy Guddeti

“…This research aims to design a hybrid swarm-optimized machine learning software defect prediction (HSoMLSDP) framework to predict software defects. …”
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APPLICATION OF THE SPECTRUM ANALYSIS WITH USING BERG METHOD TO DEVELOPED SPECIAL SOFTWARE TOOLS FOR OPTICAL VIBRATION DIAGNOSTICS SYSTEM by E. O. Zaitsev, V. E. Sydorchuk, A. N. Shpilka

“…Spectral analysis of vibration based on use maximum-entropy autoregressive method of spectral analysis by the Berg algorithm. For measured signals use preliminary analysis based on regression analysis. …”
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Inverse Kinematics: Identifying a Functional Model for Closed Trajectories Using a Metaheuristic Approach by Raúl López-Muñoz, Mario A. Lopez-Pacheco, Mario C. Maya-Rodriguez, Eduardo Vega-Alvarado, Leonel G. Corona-Ramírez

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Enhancing HEVC Efficiency: A Novel Approach to Intra-Mode Estimation Through Hadamard Cost Analysis by Junaid Tariq, Imran Javed, Touseef Sadiq, Hameedur Rahman, Ashfaq Hussain Farooqi, Amir Ijaz

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Formation of private performance criteria A-CDM taking into account the interests of the participants in the decision-making process in a dynamic environment by G. N. Lebedev, V. B. Malygin

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The Volume-Based Pollution-Routing Problem with Time Windows: A Case Study by Bilal Bencharif, Mohamed Amine Beghoura, Emrah Demir

“…Green logistics has gained significant attention in recent years due to increasing pollution levels and their negative effects. This area of research is crucial as governments and countries worldwide recognize the severity of pollution and its detrimental effects. …”
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Presenting a robust optimization model for the design of the green loop supply chain network in the power plant by taking into account the disruption in the supply chain by Javad Mohammadghasemi, Seyyed Esmaeil Najafi, Mohammad Fallah, Mohammad Reza Nabatchian

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Maximizing influence via link prediction in evolving networks by Kexin Zhang, Mo Li, Shuang Teng, Lingling Li, Yi Wang, Xuezhuan Zhao, Jinhong Di, Ji Zhang

“…We establish that the IMFN problem is NP-hard and advocate a prospective solution framework, employing judiciously selected link prediction methods to forecast the future network, and subsequently applying a greedy algorithm to select the k most influential nodes. Moreover, we present SCOL (Sketch-based Cost-effective lazy forward selection algorithm Optimized with Labeling technique), a well-designed algorithm to accelerate the query of our IMFN problem. …”
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Recent advancements in stereolithography (SLA) and their optimization of process parameters for sustainable manufacturing by Asmaul Husna, Salahuddin Ashrafi, ANM Amanullah Tomal, Noshin Tasnim Tuli, Adib Bin Rashid

“…Furthermore, the paper discusses the application of optimization methods like Genetic Algorithms and Artificial Neural Networks (ANN) to analyze, refine, and determine the optimal processing parameters for stereolithography. …”
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TensorTrack: Tensor Decomposition for Video Object Tracking by Yuntao Gu, Pengfei Zhao, Lan Cheng, Yuanjun Guo, Haikuan Wang, Wenjun Ding, Yu Liu

“…To address this issue, this paper proposes an innovative method that utilizes tensor decomposition, an underexplored concept in object-tracking research. By applying L1-norm tensor decomposition, video sequences are represented as four-mode tensors, and a real-time background subtraction algorithm is introduced, allowing for effective modeling of the target–background relationship and adaptation to environmental changes, leading to accurate and robust tracking. …”
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