Investigations into cyanobacterial photoacclimation processes address longstanding proposals for improving crop yields by Christopher J. Gisriel, Gary W. Brudvig

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Electronic Document Circulation As a Factor of Efficient Managing the Organizations’ Business Processes by O. N. Chemodanova, G. Yu. Grib

“…The factors of forming and implementing the system of managing the organizations’ business processes in the form of electronic document circulation corporate system (EDCCS) enabling to avoid the excessive paper document circulation are considered in the article. …”
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Interactive external representations for knowledge-building processes and performance in dyads: An experimental study by Magdalena Mateescu, Simone Kauffeld

“…Digital tools that enable the production and manipulation of interactive external representations (IER) could be vital in strengthening collaboration and boosting performance. This experimental study with 40 participants working in dyads at a Large Interactive Surface examined the effects of IER on the collaborative processes and solution quality. …”
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Digital transformation in the construction industry: Analysing the impact of technological changes on construction processes by Olena Emelianova, Viktoriya Tytok, Kateryna Lavrukhina, Inna Shatrova, Olena Demydova

“…A framework of efficiency-boosting tactics, including personnel training, process optimisation, and technology integration, was created. …”

Stacking Gaussian Process Regression for Soil Moisture Estimation Over the Continental U.S. by Ling Zhang, Yujuan Zhang, Wenchang Ji, Zhaohui Xue

“…In this paper, we introduce a novel soil moisture estimation method based on ensemble learning, termed Stacking Gaussian Process Regression (SGPR). This method incorporates Gaussian Process Regression (GPR) within a stacking strategy that utilizes gradient boosting and employs K-fold cross-validation, leveraging 11 multi-source remote sensing features. …”
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Scenario modeling of the drug prescription process for children: application of machine learning methods by А. А. Kondrashov, М. М. Kurashov, Е. Е. Loskutova

“…The study was based on data on drug prescription for children from medical information systems of Moscow clinics for the period from January to December 2023 including information about patients, the date of treatment, diagnoses, prescribed medications and the doctor's specialty. Preliminary data processing enabled to extract additional features and define the process as a multi-label classification task. …”
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A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes by Cosmina-Mihaela Rosca, Adrian Stancu

“…Additionally, the literature identifies 224 articles that have studied random forest and 114 that have incorporated gradient boosting about wind power. Among these, 60 articles have specifically addressed the issue of optimizing wind energy production. …”
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Deep learning application to roughness classification of road surface conditions through an e-scooter’s ride quality by Asher Virin, Lalitphat Khongsomchit, Sakdirat Kaewunruen

“…Three machine learning models—Random Forest Classifier, Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM) with k-means clustering—were tested using various hyperparameter tuning, post-processing, and data splitting strategies. …”
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Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department by Yu-Hsin Chang, Ying-Chen Lin, Fen-Wei Huang, Dar-Min Chen, Yu-Ting Chung, Wei-Kung Chen, Charles C.N. Wang

“…Six machine learning models (CatBoost, Light Gradient Boosting Machine, Logistic Regression, Random Forest, Extremely Randomized Trees, and Gradient Boosting) and one Logistic Regression derived from triage level were developed and evaluated using EPs’ predictions as reference. …”
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Computational linguistics and natural language processing techniques for semantic field extraction in Arabic online news by Maulana Ihsan Ahmad, Moh. Kanif Anwari

“…The research aimed to extract semantic fields from Arabic online news and advance Natural Language Processing (NLP) applications in understanding and managing news information effectively. …”
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The impact of presentation modes on mental rotation processing: a comparative analysis of eye movements and performance by Philipp Stark, Efe Bozkir, Weronika Sójka, Markus Huff, Enkelejda Kasneci, Richard Göllner

“…Moreover, participants showed eye movements associated with more holistic processing for visual 3D figures and more piecemeal processing for pictorial 2D figures.…”
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Proactive Detection of Malicious Webpages Using Hybrid Natural Language Processing and Ensemble Learning Techniques by Althaf Ali A, Rama Devi K, Syed Siraj Ahmed N, Ramchandran P, Parvathi S

“…The ensemble model combines decision trees, random forests, and gradient boosting methods, optimizing classification accuracy and reducing false positives. …”
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CAMPuS: Concurrent Acceleration of Memory Access and Parallel Processing in Near-Memory SpMV Architecture by Kwangrae Kim, Ki-Seok Chung

“…To resolve such DRAM bandwidth issues, several studies have proposed DIMM-based near-memory processing (NMP) architectures to accelerate SpMV computation. …”
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A Signal Processing-Guided Deep Learning Framework for Wind Shear Prediction on Airport Runways by Afaq Khattak, Pak-wai Chan, Feng Chen, Hashem Alyami, Masoud Alajmi

“…To predict wind shear more effectively, the proposed framework integrates a signal processing technique with a deep learning strategy. …”
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The analysis of energy and magnetic processes in inductors switched-mode electrical energy converters by А. Ф. Кадацкий, А. П. Русу

“…It is shown that the energy and magnetic processes in core of inductors are identical for DC-DC and AC-AC converters, for buck, boost, buck-boost and fly-back converters, and for transfer, recuperation and idle modes. …”
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The impact of digital interaction on the transformations of socio-economic and educational processes in Russian society by Margarita Vdovina, Mihail Firsov, Yanina Shimanovskaya, Anna Chernikova, Dmitry Savchenko

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Machine learning-driven design of support structures and process parameters in additive manufacturing by Yang Mo, Jinlong Su, Qinzhi Li, Fulin Jiang, Swee Leong Sing

“…However, the combined effects of support geometry and process parameters on key qualities such as residual stress (RS) and geometric accuracy remain insufficiently explored. …”
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Deformation prediction in innovative implant design with machine learning approaches by Mehmet Onur Yağır, Muhammed Fatih Pekşen, Şaduman Şen, Uğur Şen

“…The data obtained were modeled using a finite element analysis system (ANSYS), and instantaneous deformation data were collected during the modeling process. These instantaneous deformation data were included as an additional feature in the ML dataset and used in the analysis processes.In the study, the Kernel Support Vector Machine (Kernel SVM), Kernel Logistic Regression (Kernel LR), and extreme gradient boosting (XGBoost) classification methods were employed to assess the impact of the implant on the jawbone. …”
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Grade Identification of Raw Nongxiangxing Baijiu Based on Fused Data of Near Infrared Spectroscopy and Gas Chromatography-Mass Spectrometry by ZHANG Wei, ZHANG Guiyu, TUO Xianguo, FU Ni, LI Xiaoping, PANG Tingting, LIU Kecai

“…Raw Nongxiangxin Baijiu of different grades were collected during the distillation process, and their near infrared spectroscopy (NIR) data and gas chromatography-mass spectrometry (GC-MS) data were acquired. …”
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Improving Cardiovascular Disease Prediction through Stratified Machine Learning Models and Combined Datasets by Tara Yousif Mawlood, Alla Ahmad Hassan, Rebwar Khalid Muhammed, Aso M. Aladdin, Tarik A. Rashid, Bryar A. Hassan

“…Seven classification algorithms – logistic regression, random forest (RF), support vector machine (SVM), Gaussian naive Bayes (GNB), gradient boosting (GB), K-nearest neighbors, and decision tree (DT) – were employed. …”
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