THE INVERSE GAUSSIAN PLUME METHOD FOR ESTIMATING THE LEVEL OF AIR POLLUTION by Volodymyr Hura, Liubomyr Monastyrskyi

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Learning the factors controlling mineral dissolution in three-dimensional fracture networks: applications in geologic carbon sequestration by Aleksandra A. Pachalieva, Aleksandra A. Pachalieva, Jeffrey D. Hyman, Daniel O’Malley, Gowri Srinivasan, Hari Viswanathan

“…This study is a first step towards characterizing the parameters that control carbon mineralization using an approach with integrates computational physics and machine learning.…”
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Modulation instability control via evolutionarily optimized optical seeding by Sader Lynn, Boussafa Yassin, Hoang Van Thuy, Haldar Raktim, Kues Michael, Wetzel Benjamin

“…Here, we investigate noise-driven modulation instability during nonlinear fiber propagation, underlining the potential of coherent optical seeding and machine learning to jointly control incoherent spectral broadening dynamics. …”
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Explainable artificial intelligence visions on incident duration using eXtreme Gradient Boosting and SHapley Additive exPlanations by Khaled Hamad, Emran Alotaibi, Waleed Zeiada, Ghazi Al-Khateeb, Saleh Abu Dabous, Maher Omar, Bharadwaj R.K. Mantha, Mohamed G. Arab, Tarek Merabtene

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A Hybrid Quantum-Classical Approach for Multi-Class Skin Disease Classification Using a 4-Qubit Model by Aravinda C V, Emerson Raja Joseph, Sultan Alasmari

“…Quantum machine learning (QML) presents a promising avenue for addressing complex classification challenges, yet its application in medical imaging remains largely unexplored. …”
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Flexible pressure sensors based on weft–knitted fabrics for real–time body signal monitoring applications with integrated tiny convolutional neural networks by Chi Cuong Vu, Tuan Nghia Nguyen

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Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…Traditional methods often result in errors which led to misclassifications and conventional machine learning models often struggle in feature extraction due to subtle differences in mushroom species. …”
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BCI‐control and monitoring system for smart home automation using wavelet classifiers by Amer Al‐Canaan, Hicham Chakib, Muhammad Uzair, Shuja‐uRehman Toor, Amer Al‐Khatib, Majid Sultan

“…With careful settings of deep‐learning classifier model parameters, the training and testing were successful with high accuracy results. …”
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Self-adaptive evolutionary neural networks for high-precision short-term electric load forecasting by Muhammad Abbas, Yanbo Che, Sarmad Maqsood, Muhammad Zain Yousaf, Mustafa Abdullah, Wajid Khan, Saqib Khalid, Mohit Bajaj, Mohammad Shabaz

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Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies by Dennis Teutscher, Tyll Weber-Carstanjen, Stephan Simonis, Mathias J. Krause

“…This paper introduces a machine learning-powered digital twin framework to improve the operational flexibility and predictive control of a traditional chamber filter press. …”
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Sex-specific cardiometabolic multimorbidity, metabolic syndrome and left ventricular function in heart failure with preserved ejection fraction in the UK Biobank by Ambre Bertrand, Xin Zhou, Andrew Lewis, Thomas Monfeuga, Ramneek Gupta, Vicente Grau, Blanca Rodriguez

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Ai-powered digital twin in the industrial IoT by Željko Bolbotinović, Saša D. Milić, Žarko Janda, Dragan Vukmirović

“…This method should enable parameter prediction which cannot be directly measured. …”
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Computational complexity when constructing rational plans for program execution in a given field of parallel computers by V. M. Bakanov

“…The developed software system confirmed its efficiency for studying the parameters of hidden parallelism in arbitrary algorithms and rational use in data processing. …”
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The Design and Experiment of a Motion Control System for the Whole-Row Reciprocating Seedling Picking Mechanism of an Automatic Transplanter by Jiawei Shi, Jianping Hu, Wei Liu, Junpeng Lv, Yongwang Jin, Mengjiao Yao, Che Wang

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Fitting of nonnegative physical models based on statistical divergence: application to thermally stimulated depolarization currents by Yasunobu Ando, Shusuke Kasamatsu, Suguru Iwasaki, Yumi Tanaka

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Comparative Analysis of Dedicated and Randomized Storage Policies in Warehouse Efficiency Optimization by Rana M. Saleh, Tamer F. Abdelmaguid

“…It integrates the Storage Location Assignment Problem (SLAP) with the unrelated parallel machine scheduling problem (UPMSP), which represents the scheduling of the material handling equipment (MHE). …”
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A Forecasting Approach for Wholesale Market Agricultural Product Prices Based on Combined Residual Correction by Bo Li, Yuanqiang Lian

“…Initially, the sparrow search algorithm (SSA) is used to optimize the penalty factors and kernel parameters of support vector regression (SVR) and the input weights and hidden layer biases of the extreme learning machine (ELM), thereby improving the convergence rate and predictive accuracy of these models. …”
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WiFi Indoor Positioning Based on EGA-PF and Fernet Algorithm by Yanchun Wang, Shaoye Sun, Fengjuan Miao, Ying Xia

“…Firstly, in response to the challenge of balancing positioning time and accuracy, the extreme learning machine (ELM) does not require iterative adjustment of the weights of the hidden layer, allowing it to achieve high positioning accuracy in a short time, but the difficulty in adjusting the parameters restricts the development of the ELM, with each partial parameter of the ELM as an individual, the genetic algorithm (GA) uses operations such as crossover, compilation and selection to optimize until the system performance is met continuously. …”
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Web Application Firewall Based on Anomaly Detection using Deep Learning by Sezer Toprak, Ali Gökhan Yavuz

“…In order to accomplish this task, the research focusses on using Machine Learning and Deep Learning techniques. In the world of the Internet, we are facing a similar problem to identify whether a website request contains malicious activity or just a normal request. …”
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Multi-Objective Optimization Design of Dual-Spindle Component Based on Coupled Thermal–Mechanical–Vibration Collaborative Analysis by Xiaoliang Lin, Yiming Xie, Xiaolei Deng, Jing Tian, Yue Han, Peng Wang

“…The dual-spindle component of a CNC machine tool is taken as the parameterized model. …”
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