Pneumatic Sucker-Rod Machine for Dispersing Solid Mineral Fertilizers by V. A. Makarov, O. I. Zhuravleva, A. V. Shemyakin

“…It was determined that the quality of fertilizer dispersing with a pneumatic sucker-rod machine is mainly aff ected by the uniformity of their supply by reel-type units to the air stream and rods with holes, and the pattern of fertilizer distribution to ejectors depending on the distance between them. …”
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Tri-dimensional measurements to evaluate dimensional alterations in gypsum patterns for complete dentures by Wildes da C. Monteiro, Christiano A. de L. Corradi, Saide S. Domitti, Simonides Consani

“…The use of machines to measure specifics points in the patterns, these points transference to a tri-dimensional design program and the areas math calculation, by the solids produced in that program are an efficient alternative to verify and after compare the dimensional variations that occurs in gypsum patterns, related of the moulding materials. …”
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Censoring Sensitivity Analysis for Benchmarking Survival Machine Learning Methods by János Báskay, Tamás Mezei, Péter Banczerowski, Anna Horváth, Tamás Joó, Péter Pollner

“…While established methodologies exist for validating standard machine learning models, current benchmarking approaches rarely assess model robustness under varying censoring conditions. …”
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Application of machine learning techniques for churn prediction in the telecom business by Raji Krishna, D. Jayanthi, D.S. Shylu Sam, K. Kavitha, Naveen Kumar Maurya, T. Benil

“…Telecom managers and analysts investigate why customers cancel their subscriptions and analyze the behavior patterns of customers who have stopped using the services. …”
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Multi-Spectral Optimization for Tissue Probing Using Machine Learning by Yarden Tzabari Kelman, Hadas Lupa Yitzhak, Nadav Shabairou, Shahaf Finder, Zeev Zalevsky

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Predicting future brand value: The role of machine learning monitoring by Ahmad Al Adwan, Ghaiath Altrjman, Lu’ay Al-Mu’ani

“…These findings demonstrate the effectiveness of machine learning in identifying predictive patterns relevant to brand performance and provide a practical framework for leveraging digital tools to enhance brand valuation strategies. …”
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Recent advances in ultra-precision machining of lithium niobate crystals by Yebing TIAN, Chengwei WEI, Xiaomei SONG, Cheng QIAN

“…Such advancements are essential for enhancing machining efficiency, improving surface quality, and minimizing damage. …”
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Quantum Neural Network Based Machine Translator for Hindi to English by Ravi Narayan, V. P. Singh, S. Chakraverty

“…This paper presents the machine learning based machine translation system for Hindi to English, which learns the semantically correct corpus. …”
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Impact of surface micro-dimples on machinability of Inconel 718 alloy by Kanishk Jain, Mukesh Tak, Rakesh G. Mote

“…Used extensively in the aerospace industry, the superalloy Inconel 718 is deemed hard to cut because of its rapid work hardening, low thermal conductivity, and excessive shear strength. Proposed here is patterning Inconel 718 with micro-dimples using electrochemical machining and electrical discharge machining prior to conventional cutting. …”
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Predicting Crime Time Intervals Using Machine Learning Models by Arief Deswandi, Widi Hastomo

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Interpretable machine learning models classify minerals via spectroscopy by R. Smith, Tyler L. Spano, Marshall McDonnell, Lance Drane, Ian Gibbs, Andrew Miskowiec, J. L. Niedziela, Ashley E. Shields

“…Here, we developed interpretable machine learning models that can classify uranium minerals by secondary oxyanion chemistry and other physicochemical properties based solely on Raman spectra. …”
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A Novel Support Vector Machine with Globality-Locality Preserving by Cheng-Long Ma, Yu-Bo Yuan

“…Support vector machine (SVM) is regarded as a powerful method for pattern classification. …”
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Identifying the quantum properties of hadronic resonances using machine learning by Jakub Filipek, Shih-Chieh Hsu, John Kruper, Kirtimaan Mohan, Benjamin Nachman

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Tooth Cutting Machining of Cycloid Coupling based on Monolithic Cutter by Zhiyong Wang, Wenhao Yu, Ying Zhang, Yiyu Zeng

“…Through the use of monolithic cutter to process the cycloid coupling on domestic CNC bevel gear cutting machine，the correctness and feasibility of cutting principle and processing method is verified by tooth profile error measurement and contact pattern inspection.…”
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An Overview and Classification of Machine Learning Approaches for Radar Signal Deinterleaving by Louis Lesieur, Jean-Marc Le Caillec, Ali Khenchaf, Vincent Guardia, Abdelmalek Toumi

“…As radar signals are more complex and observations are denser, new Machine Learning (ML) approaches appear in the literature to enhance traditional Radar Signal Deinterleaving (RSD). …”
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Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing by Waqar Shehbaz, Qingjin Peng

“…Initially, experimental data are generated by systematically varying key AM parameters, layer height, infill density, infill pattern, build orientation, and number of shells. …”
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The Extreme Value Support Measure Machine for Group Anomaly Detection by Lixuan An, Bernard De Baets, Stijn Luca

“…Group anomaly detection is a subfield of pattern recognition that aims at detecting anomalous groups rather than individual anomalous points. …”
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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…In recent years, machine learning (ML) has demonstrated significant potential in corrosion inhibitor molecule research and has emerged as a powerful tool for scientists to explore new and efficient corrosion inhibitors. …”
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Traffic travel pattern recognition based on sparse Global Positioning System trajectory data by Juan Chen, Kepei Qi, Shiyu Zhu

“…Then, support-vector machine, decision tree, and convolutional neural network are used for traffic travel pattern recognition. …”
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PATTERN FORECASTING OF PERFORMANCE INDICES FOR AIR-AND-SCREEN CLEANER FROM CHAFFING EFFICIENCY RISE by Yury Ivanovich Yermolyev, Andrey Vladimirovich Butovchenko, Artem Alexandrovich Doroshenko

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