Crop Yield Prediction: Data Structure and Ai-Powered Methods by V. K. Kalichkin, K. Yu. Maksimovich, O. A. Aleshchenko, V. V. Aleshchenko

“…(Research purpose) The aim of this study is to analyze data structures and compare machine learning and deep learning algorithms used in used in crop yield prediction. (Materials and methods) Using a convergent approach and applying methods of cognitive and semantic analysis, the authors examined the subject area of artificial intelligence applications in crop yield prediction. …”
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GDDKIA xml service, road traffic incidents data: availability and quality research by Natalia Dziuba, Stanisław Szombara

“…To improve accuracy, additional algorithms were applied that automatically corrected the position of the points to match the nearest roads. …”
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Non-Invasive Continuous Respiratory Monitoring on General Hospital Wards: A Systematic Review. by Kim van Loon, Bas van Zaane, Els J Bosch, Cor J Kalkman, Linda M Peelen

“…<h4>Background</h4>Failure to recognize acute deterioration in hospitalized patients may contribute to cardiopulmonary arrest, unscheduled intensive care unit admission and increased mortality.…”
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Sulfur fumigation of botanical drugs: impact on chemical composition and pharmacological properties, and advances in detection technologies by Weiyi Xu, Hongyu Jin, Ying Wang, Feng Wei, Jing Liu

“…Prolonged exposure to these residues may result in respiratory problems and potential carcinogenic effects. …”
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BRIDGING THE GAP: OPPORTUNITIES, CHALLENGES AND STRATEGIES FOR AI DEPLOYMENT IN PUBLIC SERVICE DELIVERY by Richard Douglas Kamara

“…At the same time, it emphasises significant challenges, such as algorithmic bias, data privacy risks, public trust deficits, and resource disparities that may impede the equitable adoption of AI. …”
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Cloud-edge collaborative data anomaly detection in industrial sensor networks. by Tao Yang, Xuefeng Jiang, Wei Li, Peiyu Liu, Jinming Wang, Weijie Hao, Qiang Yang

“…The heavy traffic load may cause communication delays or packets lost by corruption. …”
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ENDOCRINE PANCREATIC FUNCTION IN ACUTE PANCREATITIS by P. V. Novokhatny

“…The significant changes of pancreatic renin-angiotensin system may have clinical relevance in acute pancreatitis and hypoxia-induced injury in the pancreas. …”
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Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates by N. Ragu Ramalingam, K. Johnson, M. Pagani, M. Pagani, M. L. V. Martina

“…To address these challenges, it is crucial to develop concepts and algorithms for reducing the number of events simulated and more efficiently approximate the needed simulation results. …”
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Automated attendance management with RFID and geospatial visualization by Jilbert C. Bati-On, Kyle P. Kuizon, Krischel Ann Y. Catulpos, Johnloyd B. Bonghanoy, Jose Jr. Costillas Agoylo

“…Future enhancements may include improving facial recognition in low-light conditions and expanding system compatibility for mobile devices. …”
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Anomaly Detection Dataset for Industrial Control Systems by Alireza Dehlaghi-Ghadim, Mahshid Helali Moghadam, Ali Balador, Hans Hansson

“…Using Machine Learning (ML) for Intrusion Detection Systems (IDS) is a promising approach for ICS cyber protection, but the lack of suitable datasets for evaluating ML algorithms is a challenge. Although a few commonly used datasets may not reflect realistic ICS network data, lack necessary features for effective anomaly detection, or be outdated. …”
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Exploring hypoxia-related genes in spinal cord injury: a pathway to new therapeutic targets by Shihuan Cheng, Le Li, Mengmeng Xu, Ningyi Ma, Yinhua Zheng

“…Exploring hypoxia-related genes in SCI may reveal potential therapeutic targets and improve our understanding of its pathogenesis.MethodsWe developed a diagnostic model using LASSO regression and Random Forest algorithms to investigate hypoxia-related genes in SCI. …”
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Automated pipeline for leaf spot severity scoring in peanuts using segmentation neural networks by Joshua Larsen, Jeffrey Dunne, Robert Austin, Cassondra Newman, Michael Kudenov

“…Eliminating human subjectivity for the scoring protocols will allow non-experts to collect scores and may enable drone-based data collection. This could reduce the time needed to obtain new lines or identify new genes responsible for leaf spot resistance in peanut.…”
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Diagnostic value of leukocytosis in patients presenting to the emergency department with abdominal pain: A retrospective observational study by Erkan Boğa

“…Further multicenter prospective studies are needed to validate these findings and improve diagnostic algorithms.…”
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Adverse events following 9-valent human papillomavirus vaccine (GARDASIL® 9) reported to the Vaccine Adverse Event Reporting System (VAERS), 2015–2024 by Qiong Liu, Guojun Liang, Yang Song

“…Disproportionality analyses using four independent algorithms (ROR, PRR, IC, EBGM) were applied to identify positive safety signals. …”
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Index or illusion: The case of frailty indices in the Health and Retirement Study. by Yi-Sheng Chao, Hsing-Chien Wu, Chao-Jung Wu, Wei-Chih Chen

“…We are developing new algorithms to develop and validate innovative indices.…”
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Wearing WHOOP More Frequently Is Associated with Better Biometrics and Healthier Sleep and Activity Patterns by Gregory J. Grosicki, Finnbarr Fielding, Jeongeun Kim, Christopher J. Chapman, Maria Olaru, William von Hippel, Kristen E. Holmes

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Analysis of potential molecular targets and mechanisms of brominated flame retardants in causing osteoarthritis using network toxicology, machine learning, SHAP analysis, and molec... by Yu Liu, Guohang Shen, Zidong Xia, Ruoyan Wang, Yupei Dai

“…Subsequently, a comprehensive machine learning workflow involving 113 different algorithms was used to identify 10 core target genes as potential mediators of BDE-47-induced osteoarthritis. …”
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Explore potential immune-related targets of leeches in the treatment of type 2 diabetes based on network pharmacology and machine learning by Tairan Hu, Zhaohui Fang

“…Finally, we employed LASSO regression, SVM-RFE, XGBoost, and random forest algorithms to further predict potential targets, followed by validation through molecular docking.ResultsLeeches may influence cellular immunity by modulating immune receptor activity, particularly through the activation of RGS10, CAPS2, and OPA1, thereby impacting the pathology of Type 2 Diabetes Mellitus (T2DM).DiscussionHowever, it is important to note that our results lack experimental validation; therefore, further research is warranted to substantiate these findings.…”
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Numerical Modeling Tools and S-derivatives by Anatoly Nikolaevich Morozov

“…For dynamical systems, this question may be related with a generalization of the concept of a derivative, which keeps the used constructions relevant. …”
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Face Anti-spoofing Detection Based on Novel Encoder Convolutional Neural Network and Texture’s Grayscale Structural Information by Marwa Radad, Amira E. Enab, Salah S. Elagooz, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

“…Furthermore, in real-world situations, color disparities may be introduced by lighting, camera settings, and other elements. …”
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