Estimating river water level using satellite altimetry and water surface temperature data in a regulated subtropical river by Qi Wang, Hailong Wang

“…Intentional discharge from the upstream reservoir for downstream ecological conservation during dry seasons could also challenge both methods for capturing the induced high flows. …”
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Review of the methodology used for the assessment of the short‐term (acute) dietary exposure to pesticide residues in food (IESTI methodology) by European Food Safety Authority (EFSA)

“…Abstract In accordance with the mandate under Article 43 of Regulation (EC) No 396/2005, EFSA reviewed the methodology used for the assessment of the short‐term dietary exposure to pesticide residues currently used in the EU (also known as international estimated short‐term intake (IESTI) methodology) and elaborated three alternative options for exposure calculations that would address some of the weak points of the current methodology. …”
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Development of a 1.0 KVA Fuelless Generator by Blessing Ngozi Goodluck Aliemeke, Munirat Abdullawal Momoh, Mercy Onoshioze Asekhome, Christian Azuka Anani, Afoke Chief Vincent

“…Integration of power factor correction capacitors and advanced control algorithms contributed to achieving a power factor close to unity, optimizing energy utilization. …”
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Dual-Ascent-Inspired Transformer for Compressed Sensing by Rui Lin, Yue Shen, Yu Chen

“…The architecture features an innovative asymmetric primal–dual space at each iteration layer, enabling dimension-specific operations that balance reconstruction quality with computational efficiency. We also optimize the Cross Attention module through parameter sharing, effectively reducing its training complexity. …”
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Constitutive Model for Hot Deformation Behavior of Fe-Mn-Cr-Based Alloys: Physical Model, ANN Model, Model Optimization, Parameter Evaluation and Calibration by Jie Xu, Chaoyang Sun, Huijun Liang, Lingyun Qian, Chunhui Wang

“…The parameters and architecture of the ANN model are then systematically optimized using optimization algorithms to enhance training efficiency and prediction accuracy. …”
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METHODOLOGICAL APPROACH TO CONSTRUCTION OF A SYSTEM FOR DETECTION AND PREVENTION OF DESTRUCTION OF THE ACTIVITIES OF CONSTRUCTION PARTICIPANTS by Mykhailo Malykhin, Denys Dubinin, Olha Bielienkova

“…The proposed framework incorporates the utilisation of behavioural indicators, deviation tracking algorithms, and early warning dashboards, which collectively facilitate proactive responses to disruption risks. …”
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PlantCareNet: an advanced system to recognize plant diseases with dual-mode recommendations for prevention by Muhaiminul Islam, AKM Azad, Shifat E. Arman, Salem A. Alyami, Md Mehedi Hasan

“…We introduce PlantCareNet, a novel, automated, end-to-end diagnostic system for plant diseases that can also offer interactive guidance to users. The system utilizes a dual mode strategy that integrates advanced deep learning algorithms for precise disease diagnosis with a knowledge-based framework guided by experts for preventive measures. …”
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Analyzing the severity of distracted driving crashes on horizontal curves of rural highways: A hybrid approach of boosting-based ensemble machine learning and discrete choice metho... by Morteza Safari, Meysam Effati, Mahyar Arabani

“…Evaluating and comparing ensemble learning algorithms showed that the Light Gradient Boosting Machine (LightGBM) model, with its gradient boosting capabilities and an accuracy exceeding 75 %, performed best in fitting the data and identifying the most critical factors contributing to distraction-related crashes on RTU curves. …”
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Among the DLTs: Holochain for the Security of IoT Distributed Networks—A Review and Conceptual Framework by Shereen Ismail, Raouf Mehannaoui, Eden Teshome Hunde, Hassan Reza

“…Holochain, an emerging distributed ledger technology (DLT), offers the benefits of blockchain while overcoming its limitations, such as the reliance on consensus algorithms and a globally synchronized ledger. As a result, Holochain has garnered attention in the research community as a promising solution for distributed IoT applications. …”
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Impact of Hypoglycemia on Glucose Variability over Time for Individuals with Open-Source Automated Insulin Delivery Systems by Arsalan Shahid, Dana M. Lewis

“…This study investigates glucose conditions preceding and following various hypoglycemia levels in individuals with type 1 diabetes using open-source automated insulin delivery (AID) systems. It also seeks to evaluate relationships between hypoglycemia and subsequent glycemic variability. …”
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A Systematic Survey of Machine Learning and Deep Learning Models Used in Industrial Internet of Things Security by Ersin Enes Eryılmaz, Erdal Kılıç, Yankı Ertek, Sedat Akleylek

“…As deep learning (DL) and machine learning (ML) models have significantly advanced in recent years, they have also begun to be employed in advanced security methods for IoT systems. …”
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Innovations of Contemporary Artificial Intelligence: Value-Based Approach by R. I. Mamina, A. V. Ilina

“…Innovations in the field of AI create not only new opportunities for a person and society as a whole, but also risks, problems and threats, which leads to the actualization of a risk-oriented approach towards the regulation of AI development on both the international and national levels. …”
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Optimization of multi-objective feature regression models for designing performance assessment methods in college and university educational reform by Fengjun Qi, Zhenping Liu, Wenzheng Zhang, Zhenjie Sun

“…Experimental evaluations on three datasets—Education Reform (EDU-REFORM), Programme for International Student Assessment (PISA), and National Assessment of Educational Progress (NAEP)—demonstrate the superior performance of MOFR-LSF, achieving relative root mean square error (RRMSE) values of 0.634, 0.332, and 0.925, respectively, outperforming existing multi-objective regression algorithms. The proposed model not only enhances predictive accuracy but also strengthens the scientific validity and fairness of performance evaluations, offering meaningful contributions to educational reform in colleges and universities. …”
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Understanding user experience for mobile applications: a systematic literature review by Guoying Lu, Siyuan Qu, Yining Chen

“…Additionally, the integration of complex algorithms has enhanced MAUX’s theoretical framework and methodological approaches. …”
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A beginner’s approach to deep learning applied to VS and MD techniques by Stijn D’Hondt, José Oramas, Hans De Winter

“…In the field of biochemistry, MD has also become a compelling method for studying biophysical systems (e.g., protein folding) complementary to experimental techniques. …”
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View Score: An early warning score to detect possible complications among COVID-19 patients by Meenakshi Bhakare, Rajkumar Nikalje, Reshma Patil, Urvi Shukla, Rupesh Bokade, Gajanan Sakhare, Shardul Joshi, Aditi Pais

“…Conclusion: Home-based spirometry acts as an effective tool for COVID-19 patients to predict lung complications and also promote self-monitoring thereby reducing the burden on the health system.…”
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Federation in Digital Twins and Knowledge Transfer: Modeling Limitations and Enhancement by Alexios Papacharalampopoulos, Dionysios Christopoulos, Olga Maria Karagianni, Panagiotis Stavropoulos

“…As a result, the models within these DTs can be enriched with more-detailed information, leading to the creation of verified, high-fidelity models. Human involvement is also emphasized, particularly in the transfer of knowledge. …”
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Safety assessment of sodium zirconium cyclosilicate: A FAERS-based disproportionality analysis. by Yongfei Yu, Kaiyu Zhang, Jinglin Gao, Guoshun Huang, Chen Yong, Yuan Wei, Enchao Zhou

“…Sex subgroup analyses were also conducted. A total of 1,154 SZC-related AE reports were obtained from the FAERS database. …”
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Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM. by Sadia Nazim, Muhammad Mansoor Alam, Syed Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Suud

“…Although these methods yield exceptional accuracy, they are also difficult to understand. Thus, the advancement of interpretable and powerful AI models is indispensable to their reliability and trustworthiness. …”
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Digital rights identification as an object of accounting and control by A. V. Bodiako, S. V. Ponomareva, T. M. Rogulenko

“…The authors consider the applied value of the phenomenon of digital rights not only in civil paper work, but also in accounting and control processes. The concepts developed by accounting methodologists to post transactions with digital rights in ledgers are revealed. …”
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