Essence of the monitoring system for managing project life cycle at an instrument-making holding by P. A. Zhurina, O. V. Tyagunova

“…The relevance of the material is the activity of a real specialist directly inside the dynamic structure of the holding, who knows all the old management methods and models new and redundant management methods, updating them in accordance with external and internal challenges. …”
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Application and Analysis of Random Forest and Support Vector Classification in Risk Prediction of Childhood Obesity and Hyperuricemia by Wang Y, Shi S, Wei X, Wu Y, Shi Y, Cai J

“…Machine learning (ML) offers an effective framework for constructing efficient risk prediction models in pediatric populations.Objective: This study aimed to develop and evaluate two ML models—Random Forest (RF) and Support Vector Classification (SVC)—to predict the risk of childhood obesity and hyperuricemia by integrating clinical and biochemical variables.Methods: A total of 101 children were enrolled, including 60 with obesity and 41 with obesity plus hyperuricemia. …”
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Cloud based real-time multivariate multi-step prediction of systolic blood pressure and heart rate using temporal convolutional network and Apache Spark by Hager Saleh, Nora El-Rashidy, Sherif Mostafa, Abdulaziz AlMohimeed, Shaker El-Sappagh, Zainab H. Ali

“…During the offline model development, we explore the single-task and multi-task modeling. …”
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Rice Leaf Disease Classification—A Comparative Approach Using Convolutional Neural Network (CNN), Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net), and MobileNet-V2... by Monoronjon Dutta, Md Rashedul Islam Sujan, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

“…This work highlights the advantages of custom CNN models for efficient and accurate rice leaf disease classification, paving the way for technology-driven advancements in farming practices.…”
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Diabetic Retinopathy Assessment through Multitask Learning Approach on Heterogeneous Fundus Image Datasets by Hongkang Wu, MS, Kai Jin, MD, PhD, Yiyang Jing, MD, Wenyue Shen, MD, Yih Chung Tham, PhD, Xiangji Pan, PhD, Victor Koh, MD, PhD, Andrzej Grzybowski, MD, PhD, Juan Ye, MD, PhD

“…Objective: To develop and validate an artificial intelligence (AI)-based system, Diabetic Retinopathy Analysis Model Assistant (DRAMA), for diagnosing diabetic retinopathy (DR) across multisource heterogeneous datasets and aimed at improving the diagnostic accuracy and efficiency. …”
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid, Md. Mosarrof Hossen, Mohammad Nashbat, Mazhar Hasan-Zia, Ali K. Ansaruddin Kunju, Amith Khandakar, Azad Ashraf, Molla Ehsanul Majid, Saad Bin Abul Kashem, Muhammad E. H. Chowdhury

“…To address these challenges, we propose a novel model, Self-DSNet, for efficient driving distraction detection. …”
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Integrating evolutionary algorithms and enhanced-YOLOv8 + for comprehensive apple ripeness prediction by Yuchi Li, Zhigao Wang, Aiwei Yang, Xiaoqi Yu

“…For unstructured image data, an Enhanced-YOLOv8+, a modified YOLOv8 architecture integrating Detect Efficient Head (DEH) and Efficient Channel Attention (ECA) mechanism, was employed for precise apple localization and ripeness identification. …”
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WaveConv-sLSTM-KET: A Novel Framework for the Multi-Task Analysis of Oil Spill Fluorescence Spectra by Shubo Zhang, Menghan Li, Jing Li

“…The frequent occurrence of marine oil spills underscores the need for efficient methods to identify spilled substances and analyze their thickness. …”
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Predicting high-need high-cost pediatric hospitalized patients in China based on machine learning methods by Peng Zhang, Bifan Zhu, Xing Chen, Linan Wang

“…MLP showed robustness as the most efficient model in external validation (ROC-AUC: 0.843) and internal validation using different train-test ratios (ROC-AUC: 0.826 in 80:20 ratio; 0.807 in 90:10 ratio). …”
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YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios by Peichun Suo, Jincan Zhu, Qingyang Zhou, Weili Kou, Xiuyan Wang, Wen Suo

“…These results reflect improvements of 7.4% and 6.0%, respectively, over the baseline YOLOv9 model. Additionally, the F1 scores increased by 5.9% and 2.8%. …”
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Cardiovascular risk management system: prerequisites for developing, organization principles, target groups by E. V. Shlyakhto, N. E. Zvartau, S. V. Villevalde, A. N. Yakovlev, A. E. Soloveva, A. S. Alieva, N. G. Avdonina, E. A. Medvedeva, A. A. Fedorenko, V. V. Kulakov, V. A. Karlina, G. V. Endubaeva, V. V. Zaitsev, A. E. Soloviev

“…The introduction of a new model of specialized care for cardiovascular diseases, the cardiovascular risk management system,  is aimed  at the  efficient use  of healthcare resources and providing the reduction in cardiovascular mortality.…”
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An improved chilli pepper flower detection approach based on YOLOv8 by Zhi-Yong Wang, Cui-Ping Zhang

“…Artificial pollination, on the other hand, raises production costs while also necessitating specific operating abilities. The precise and efficient identification of pepper blossoms is a critical step in the development of robotic pollinators or pollination drones. …”
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CMSAF-Net: integrative network design with enhanced decoder for precision segmentation of pear leaf diseases by Jie Ding, Wenwen Xu, Xin Shu, Wenyu Wang, Shuxia Chen, Yunzhi Wu

“…With the advancement of precision agriculture, accurate identification and segmentation of diseased areas are critical for targeted disease management and optimizing crop production. …”
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Diseño de nuevos modelos de sistemas de mampostería termorresistentes a partir de la reinterpretación constructiva de calados cerámicos de Norte de Santander, Colombia by Marlyn Stephanny Narváez-Ortega, Jorge Sánchez-Molina, Jessica Viviana Sánchez-Zúñiga

“…These products are easily acquired commercially as an alternative for the development of economical and efficient models for the manufacture of architectural skins in local buildings. …”
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RGB imaging-based detection of rice leaf blast spot and resistance evaluation at the canopy scale by XIE Pengyao, FU Haowei, TANG Zheng, MA Zhihong, CEN Haiyan

“…The proposed method is promising for efficient selection of disease-resistant rice varieties in breeding.…”
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A fault location method for DC distribution networks with DC circuit breaker and current limiter coordination by Xiaoyong Cao, Jiaming Weng, Zaijun Wu, Dong Liu, Gaoming Li, Weinian Ouyang

“…A DC distribution network model is built by PSCAD/EMTDC, and the location calculation method is simulated in MATLAB. …”
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CGI-Based Synthetic Data Generation and Detection Pipeline for Small Objects in Aerial Imagery by Rudra Patel, Divyam Chandalia, Ashalatha Nayak, Andrew Jeyabose, David Jijo

“…The first stage employs YOLOv9 for efficient region of interest localization, while the second stage utilizes a ResNet-based model for precise classification. …”
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Adsorption of Cd (II) Using Chemically Modified Rice Husk: Characterization, Equilibrium, and Kinetic Studies by Javier Montalvo-Andía, Warren Reátegui-Romero, Alexis D. Peña-Contreras, Walter F. Zaldivar Alvarez, María E. King-Santos, Víctor Fernández-Guzmán, José Luis Guerrero-Guevara, Jhon E. Puris-Naupay

“…In optimal experimental conditions, the maximum adsorption efficiency was 92.65%. Fourier-transform infrared spectroscopy (FTIR) and scanning electron microscope (SEM) were used allowing the identification of the main functional groups and morphology of rice husk and treated rice husk, and the results showed an improvement of adsorption characteristics after rice husk treatment with NaOH. …”
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Tracking murine gammaherpesvirus 68 infection of germinal center B cells in vivo. by Christopher M Collins, Samuel H Speck

“…Infection of mice with murine gammaherpesvirus 68 (MHV68) provides a tractable small animal model to study various aspects of persistent gammaherpesvirus infection. …”
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HIEN: A Hybrid Interaction Enhanced Network for Horse Iris Super-Resolution by Ao Zhang, Bin Guo, Xing Liu, Wei Liu

“…Central to our approach is the design of Paired Asymmetric Transformer Block (PATB), which incorporates Contextual Query Generator (CQG) to efficiently capture contextual information and model global feature interactions. …”
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