Machine learning with analysis-of-variance-based method for identifying rice varieties by Nabin Kumar Naik, M. Venkata Subbarao, Prabira Kumar Sethy, Santi Kumari Behera, Gyana Ranjan Panigrahi

“…Using a combination of 12 morphological features, four shape features, and 90 color features obtained from five different color spaces, 106 features were extracted from the images. …”
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A Novel Spatter Detection Algorithm for Real-Time Quality Control in Laser-Directed Energy Deposition-Based Additive Manufacturing by Farzaneh Kaji, Jinoop Arackal Narayanan, Mark Zimny, Ehsan Toyserkani

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Binge-type eating disorders and ultra-processed food addiction: phenomenology, pathophysiology and treatment implications by Joan Ifland, Timothy D. Brewerton

“…Background and objectiveDespite their clinical differences, loss of control binge eating (LCBE) is a core feature of all binge-type eating disorders (EDs), including binge eating disorder (BED), bulimia nervosa (BN), and anorexia nervosa binge purge type (AN-BP). …”
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AI-Driven Signal Processing for SF6 Circuit Breaker Performance Optimization by Philippe A. V. D. Liz, Giovani B. Vitor, Ricardo T. Lima, Aurélio L. M. Coelho, Eben P. Silveira

“…This work presents an approach based on signal processing and artificial intelligence (AI) to identify the pre-insertion resistor (PIR) and main contact instants during the operation of high-voltage SF6 circuit breakers to help improve the settings of controlled switching and attenuate transients. …”
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The Organization of the Process Documentation in Accordance with International Standards on Auditing by Margarita Fridrikhovna Safonova, Dmitrii Sergeevich Reznichenko

“…Subject. The process of documentation permeates all stages of testing and allows you to collect the required number of auditing evidence of adequate quality to express a reasoned opinion on the outcome of the auditing. …”
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A Feasible 3D Ultrasound Palmprint Recognition System for Secure Access Control Applications by Antonio Iula, Monica Micucci

“…Collected 3D images are processed to generate 2D palmprint images at various under-skin depths. 2D features are then extracted from these images, experimenting with different procedures, and are merged to define a 3D template that contains lines’ depth information. …”
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Accelerated composition-process-properties design of precipitation-strengthened copper alloys using machine learning based on Bayesian optimization by Longjian Li, Jinchuan Jie, Xiaoyu Guo, Gaojie Liu, Huijun Kang, Zongning Chen, Enyu Guo, Tongmin Wang

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Deep multimodal representations and classification of first-episode psychosis via live face processing by Rahul Singh, Rahul Singh, Rahul Singh, Yanlei Zhang, Dhananjay Bhaskar, Dhananjay Bhaskar, Vinod Srihari, Cenk Tek, Xian Zhang, Xian Zhang, J. Adam Noah, J. Adam Noah, Smita Krishnaswamy, Smita Krishnaswamy, Smita Krishnaswamy, Joy Hirsch, Joy Hirsch, Joy Hirsch, Joy Hirsch, Joy Hirsch, Joy Hirsch

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Milling Cutter Wear Prediction Based on Feature Extraction and LongShort-term Memory Neural Networks by ZHOU Chengpeng, WANG Weijun, HOU Zhicheng, FENG Wei

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The octoPus: An open-source software for supporting farmers in the control of grapevine downy mildew by Simone Bregaglio, Eleonora Del Cavallo, Lorenzo Ascari, Eugenio Rossi

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Development and study of a visco-elastic gel with controlled destruction times for killing oil wells by Dmitriy A. Martyushev, Suresh Kumar Govindarajan

“…In this article, the authors have reported for the first time about a new VEG with controlled fracture times that remains appropriate for killing oil wells associated with both terrigenous carbonate reservoir operations. …”
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mRNA nuclear export: how mRNA identity features distinguish functional RNAs from junk transcripts by Alexander F. Palazzo, Yi Qiu, Yoon Mo Kang

“…Here, we explore how properly processed mRNAs are distinguished from both misprocessed mRNAs and junk RNAs by the presence or absence of various ‘identity features’.…”
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Improved FFT-based alpha-stable density approximation algorithm by BAI Yun, YU Li, ZHU Guang-xi, LI Li

“…Approximation of density of α-stable process is an elementary works in modeling network flow using α-stable process.Combining the mathematical properties of characteristic function of α-stable process with the traditional approximating algorithm,an improved FFT-based algorithm was proposed.The improved algorithm has 2 noticeable features: automatically choosing the sampling space and sampling interval,importing frequency expansion.Experiments show that it can decrease calculation complexity and effectively control computation error.…”
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Creative behavior, psychopathology, and salience processing: a case–control study of Italian artists from the Florence Academy of Fine Arts by Giuseppe Pierpaolo Merola, Andrea Patti, Andrea Patti, Andrea Patti, Bernardo Bozza, Davide Benedetti, Giulia Minotti, Andrea Saverio Spagnuolo, Giulia Pitt, Vincenzo Pecoraro, Andrea Lenti, Gaia D’Anna, Niccolò Porcinai, Silvia Tafuni, Isotta Fascina, Andrea Ballerini, Valdo Ricca

“…Aberrant salience, a transdiagnostic feature of psychosis vulnerability, may influence the creative process. …”
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Automation facilities for agricultural machinery control by A. Yu. Izmaylov, V. K. Khoroshenkov, V. A. Kolesnikova, I. S. Alekseev, S. E. Lonin, N. T. Goncharov

“…Technological processes control in agricultural production is exercised generally with feedback. …”
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Guidelines for glaucoma imaging classification, annotation, and quality control for artificial intelligence applications by Wei-Hua Yang, Yan-Wu Xu, Xing-Huai Sun, Expert Workgroup of Guidelines for Glaucoma Imaging Classification, Annotation, and Quality Control for Artificial Intelligence Applications

“…This guideline systematically elaborates on the principles, methods, processes, and quality control requirements for the classification and annotation of glaucoma images, providing standardized guidance for the classification and annotation of glaucoma images.…”
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The biochemical and morphostructural features of biological fluids in patients with rapidly growing uterine myoma by E. G. Shvarev, L. V. Dikareva, A. K. Ayupova, G. E. Shvarev

“…A new procedure has been developed and tested to diagnose rapidly growing UM, including the latter concurrent with endometrial hyperplastic processes, which is based on the comparison of the levels of lipid peroxidation products in the biomolecules in the study biological fluids (endometrial lavages) and on the analysis of their morphostructural features. …”
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A Real-Time High-Resolution Multi-Focus Image Fusion Algorithm Based on Multi-Scale Feature Aggregation by Huawei Chen, Xingkai Du, Hongchuan Huang, Tingyu Zhao

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Generation and Classification of Novel Segmented Control Charts (SCC) Based on Hu’s Invariant Moments and the K-Means Algorithm by Roberto Baeza-Serrato

“…Control charts (CCs) are one of the most important techniques in statistical process control (SPC) used to monitor the behavior of critical variables. …”
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How the brain memorizes the world from others’ perspectives: investigating allocentric encoding of object features during perspective taking by Nanbo Wang, Shuo Huang, Junyang Cai, Ruiyi Huang, Haiyan Geng

“…Results We found that individuals engaged in other-perspective processing can adopt either object-based encoding, where irrelevant features are automatically encoded into memory in an allocentric manner along with the target feature, or feature-based encoding, where irrelevant features will not be memorized without controlled intention. …”
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