Probability Density Functions for Travel Times in One-Dimensional and Taxicab Service Zones Parameterized by the Maximal Travel Duration of the S/R Machine Within the Zone by Todor Todorov

“…The probability density function (PDF) of the travelling time for a semi-random trip in a one-dimensional zone is expressed analytically for all possible locations of its starting point. …”
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Integrated CAD/CAM Approach for Parametric Design and High-Precision Microfabrication of Planar Functional Structures Comprising Radially Oriented V-Grooves by Jonas T. Churchill-Baird, O. Remus Tutunea-Fatan, Evgueni V. Bordatchev

“…MFB3 combines inputs from MFB1 with parameters related to cutting tool geometry, cutting strategy, and process planning, producing functional NC code for the machine tool. The approach focuses on micromachining radial V-grooves on planar surfaces, requiring precise alignment and multi-axis single-point diamond cutting (SPDC) with rotation tool center point (RTCP) support. …”
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Integrated CAD/CAM Approach for Parametric Design and High Precision Fabrication of Planar Curvilinear Structures by Jonas T. Churchill-Baird, O. Remus Tutunea-Fatan, Evgueni V. Bordatchev

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Enhancing the reverse transcriptase function in Taq polymerase via AI-driven multiparametric rational design by Yulia E. Tomilova, Nikolay E. Russkikh, Igor M. Yi, Elizaveta V. Shaburova, Viktor N. Tomilov, Galina B. Pyrinova, Svetlana O. Brezhneva, Olga S. Tikhonyuk, Nadezhda S. Gololobova, Dmitriy V. Popichenko, Maxim O. Arkhipov, Leonid O. Bryzgalov, Evgeniy V. Brenner, Anastasia A. Artyukh, Dmitry N. Shtokalo, Dmitry N. Shtokalo, Dmitry N. Shtokalo, Denis V. Antonets, Mikhail K. Ivanov, Mikhail K. Ivanov

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Features of the dynamic properties of the working bodies of technological machines with inertial excitation of vibrations by Andrey V. Eliseev, Vladimir B. Kashuba, Nikita Z. Kinash, Sergey V. Eliseev

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A Machine Learning Free Energy Functional for the 1D Reference Interaction Site Model: Towards Prediction of Solvation Free Energy for All Solvent Systems by Jonathan G. M. Conn, Abdullah Ahmad, David S. Palmer

“…This represents a significant step towards a universal machine learning SFE functional for RISM.…”
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Acoustic modelling of machines using the inversion method for the purposes of the acoustic assessment of machines by Dariusz PLEBAN

“…The acoustic modelling of machines may be carried out using a set of omni-directional substitute sound sources, located in points related to the functional elements of machines. …”
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Toward Symmetry in Accessible Restrooms Design: Integrating KE, RST, and SVM for Optimized Emotional-Functional Alignment by Zimo Chen, Jingwen Tian, Hongtao Zhou, Duan Wu

“…The exhaustive prediction of 15,750 feasible design combinations pinpointed an optimal configuration; follow-up user testing confirmed the improvement in satisfaction (mean 5.1 on a seven-point scale). The KE–RST–SVM workflow thus offers a reproducible, data-driven path for harmonizing emotional and functional objectives in inclusive restroom design, and can be extended to other barrier-free facilities.…”
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Learning Discrete-Time Uncertain Nonlinear Systems With Probabilistic Safety and Stability Constraints by Iman Salehi, Tyler Taplin, Ashwin P. Dani

“…The controlled dynamic model of a discrete-time system with a zero-mean Gaussian process noise is approximated using an Extreme Learning Machine (ELM) whose parameters are learned subject to chance constraints derived using a discrete-time control barrier function and discrete-time control Lyapunov function in the presence of the ELM reconstruction error. …”
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Integrating Machinery Safety Functions Into Functional Safety for Process Industry by Gregor Schmitt-Pauksztat, Dirk Hablawetz, Marco Knödler, Dominic de-Kerf, Christian Demski, Marc Risser, Ugo Dehner

“…From a Process Industry point of view, the integration of Machinery Safety Functions into Functional Safety for Process Safety has always been a challenge. …”
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Physics-Informed Deep Learning for Three Dimensional Black Holes by Emad Yaraie, Hossein Ghaffarnejad, Mohammad Farsam

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Democratization of Point-of-Care Viral Biosensors: Bridging the Gap from Academia to the Clinic by Westley Van Zant, Partha Ray

“…While traditional laboratory methods remain essential, point-of-care solutions are critical for decentralized testing at the population level. …”
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Operating Point Optimization of Agricultural Tractor–Implement Combinations as Constraint Optimization Problem by Benjamin Kazenwadel, Marina Graf, Lukas Michiels, Marcus Geimer

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Advances in Corneal Diagnostics Using Machine Learning by Noor T. Al-Sharify, Salman Yussof, Nebras H. Ghaeb, Zainab T. Al-Sharify, Husam Yahya Naser, Sura M. Ahmed, Ong Hang See, Leong Yeng Weng

“…Several diagnostic techniques, such as corneal topography, are crucial points of discussion. This paper also examines the use of machine learning models, specifically Decision Tree and Nearest Neighbor Analysis, which enhance the accuracy of diagnosing based on topographical corneal parameters from corneal topography. …”
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Cybersecurity Requirements for Industrial Machine Control Systems by Leszek Kasprzyczak, Anna Manowska, Marek Dźwiarek

“…The next section reviews the current research on cybersecurity in machine control systems. This section also points out the research gaps that the article aims to fill. …”
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Experimental modelling and research on vibroacoustic phenomena in machines by D. Pleban

“…The acoustic modelling of machines may be carried out using a system of omni-directional substitute sound sources, deployed in points related to the functional elements of machines. …”
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An Interior Point Method for L1/2-SVM and Application to Feature Selection in Classification by Lan Yao, Xiongji Zhang, Dong-Hui Li, Feng Zeng, Haowen Chen

“…To solve this nonconvex and non-Lipschitz optimization problem, we first transform it into an equivalent quadratic constrained optimization model with linear objective function and then develop an interior point algorithm. …”
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An optimized feature selection using triangle mutation rule and restart strategy in enhanced slime mould algorithm by Ibrahim Musa Conteh, Gibril Njai, Abass Conteh, Qingguo Du

“…Comparison with benchmark testing on CEC2017 functions confirms TRSMA’s ability to perform global optimization. …”
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A Cost of Misclassification Adjustment Approach for Estimating Optimal Cut-Off Point for Classification by O.-A. Ampomah, R. Minkah, G. Kallah-Dagadu, E. N. N. Nortey

“…By doing so, we can systematically shift the cut-off point within its measurement range till the optimal point is obtained. …”
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Vibroacoustic monitoring of bearing points failures in the driving system of the mining main ventilation fans by T. ZAKRZEWSKI

“…It is worth noting that considerably less work has been devoted to the elaboration of methods of vibroacoustic diagnosis for slide bearings than the methods for rolling bearings although slide bearings also constitute weak points in a number of machines. Many reasons account for such a situation, above all the fact that a slide bearing is characterized by low vibroactivity in comparison with that of other points of machines. …”
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