Uncovering codon usage patterns during murine embryogenesis and tissue-specific developmental diseases by Sarah E. Fumagalli, Sean Smith, Brian Lin, Rahul Paul, Collin Campbell, Luis Santana-Quintero, Anton Golikov, Juan Ibla, Haim Bar, Anton A. Komar, Anton A. Komar, Ryan C. Hunt, Michael DiCuccio, Chava Kimchi-Sarfaty

“…Applying a multifaceted approach, we calculated relative synonymous codon usage, reduced the dimensionality, and employed machine learning clustering techniques.Results and discussionThese techniques identified relative synonymous codon usage differences/similarities among strains and deviations in codon usage patterns between healthy and disease-linked genes. …”
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A Machine Learning Approach for User Behavior Analysis in Developing Websites by Aeesha Shaheen

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A Chemoinformatics Investigation of Spectral and Quantum Chemistry Patterns for Discovering New Drug Leads from Natural Products Targeting the PD-1/PD-L1 Immune Checkpoint, with a... by Henrique Rabelo, Ayana Tsimiante, Yuri Binev, Florbela Pereira

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Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning Analysis by Marcos Uceta, Alberto del Cerro‐León, Danylyna Shpakivska‐Bilán, Luis M. García‐Moreno, Fernando Maestú, Luis Fernando Antón‐Toro

“…Recent studies have changed their scope into finding predisposition factors that may lead adolescents into this kind of patterns of consumption. Methods In this article, using unsupervised machine learning (UML) algorithms, we analyze the relationship between electrophysiological activity of healthy teenagers and the levels of consumption they had 2 years later. …”
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Tooth Contact Analysis of Straight Bevel Gears Machined with Concave Cutters by Wang Zhiyong, Zhang Zhu, Duan Zhihong, Zhang Yu

“…The tooth contact analysis program is compiled, and the contact pattern and transmission error curve of the gear pair are calculated. …”
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Machine learning-based characteristic identification of MSG content in gravy foods by Rosyady Phisca Aditya, Habibah Nurina Umy, Masita, Yudhana Anton

“…Therefore, this research aims to detect the level of MSG content in soupy foods using Machine Learning. This research determines the identification of MSG using the Machine Learning method Naive Bayes classifier algorithm in Python software. …”
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Partial Discharges Acceptance Criteria for AC Rotating Machines Insulation Systems by Alfredo Contin, Andrea Piccolo

“…A wide number of PRPD patterns associated with well-known defect typologies are presented and discussed in this paper to empirically demonstrate that the PRPD patterns associated with distributed micro voids are clearly distinguishable from the other PRPD patterns. …”
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APPLICATION OF POLYSTYRENE FOAM CORE FUSIBLE PATTERNS IN PRODUCTION OF GAS TURBINES’ CAST PARTS by O. I. Shinsky, I. I. Maksіuta, Yu. G. Kvasnitskaya, E. V. Mikhnyan, A. V. Neima

“…Kinetic parameters of the process of dissolving and removing patterns of degradation products the polystyrene in the group of solvents depending on the type and amount of polystyrene were identified. …”
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Differentiating Growth Patterns in Winter Wheat Cultivars via Unmanned Aerial Vehicle Imaging by Asparuh I. Atanasov, Hristo P. Stoyanov, Atanas Z. Atanasov

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Integrating Machine Learning Techniques for Enhanced Safety and Crime Analysis in Maryland by Zeinab Bandpey, Soroush Piri, Mehdi Shokouhian

“…This study advances crime analysis methodologies in Maryland by leveraging sophisticated machine learning (ML) techniques designed to cater to the state’s varied urban, suburban, and rural contexts. …”
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A Novel Nonparallel Hyperplane Based Extreme Learning Machine for Classification by Arvind Kumar, Sanyam Shukla, Manasi Gyanchandani

“…Recently, researchers have developed nonparallel variants of both extreme learning machine (ELM) and support vector machine (SVM) classifiers to improve learning speed and generalization. …”
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Machine learning technology in the classification of glaucoma severity using fundus photographs by Sukhumal Thanapaisal, Passawut Uttakit, Worapon Ittharat, Pukkapol Suvannachart, Pawasoot Supasai, Pattarawit Polpinit, Prapassara Sirikarn, Panawit Hanpinitsak

“…Abstract This study evaluates the performance of a machine learning model in classifying glaucoma severity using color fundus photographs. …”
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Structural Topology Design for Electromagnetic Performance Enhancement of Permanent-Magnet Machines by Pengjie Xiang, Liang Yan, Xiaoshuai Liu, Xinghua He, Nannan Du, Han Wang

“…Therefore, the objective of this paper is to summarize the stator/rotor arrangements and magnet patterns of the permanent-magnet brushless machines, in depth. …”
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Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery by Ching-Chun Chang, Kai Gao, Shuying Xu, Anastasia Kordoni, Christopher Leckie, Isao Echizen

“…Through reverse engineering and statistical inference, we detect deceptive patterns and estimate the likelihood of backdoor infection. …”
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Ecological Effects of Local Materials in Landscape Design based on Machine Learning by Jianjian Li

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Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection by Tengzi Liu, Muhammad Zohaib Hassan Shah, Xucun Yan, Dongping Yang

“…The Electroencephalogram (EEG) pattern of seizure activities is highly individual-dependent and requires experienced specialists to annotate seizure events. …”
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Analysis and prediction of infectious diseases based on spatial visualization and machine learning by Yunyun Cheng, Yanping Bai, Jing Yang, Xiuhui Tan, Ting Xu, Rong Cheng

“…Firstly, we used ArcGIS software to analyze the spatial agglomeration pattern of the number of patients in various regions of China through global spatial autocorrelation analysis, local spatial autocorrelation analysis, center of gravity trajectory migration algorithm and other statistical tools; In addition, the areas with serious COVID-19 epidemic and requiring special attention were screened out. …”
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Machine learning assisted estimation of total solids content of drilling fluids by B.T. Gunel, Y.D. Pak, A.Ö. Herekeli, S. Gül, B. Kulga, E. Artun

“…In contrast to human-intensive methods, machine learning may offer a viable alternative for solids content estimation due to its pattern-recognition capability. …”
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Improving Stream Solute Predictions With a Modified LSTM Model Incorporating Solute Interdependences and Hysteresis Patterns by Tarun Agrawal, Allison Goodwell, Praveen Kumar

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Machine Learning Reveals Aneuploidy Characteristics in Cancers: The Impact of BEX4 by Aizhong Xu, Jianjun Liu, Li Tong, Tingting Shen, Songlin Xing, Yujie Xia, Bosen Zhang, Zihao Wu, Wenkang Yuan, Anhai Yu, Zijie Kan, Wenqi Yang, Chao Zhang, Chong Zhang

“…Various machine learning techniques were employed to screen aneuploidy-associated genes, after which aneuploidy characteristic subtypes were established in cancers. …”
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