Research on Long-Distance Snow Depth Measurement Method Based on Improved YOLOv8 by Jia-Wen Wang, Yu Cao, Zong-Kai Guo, Cheng Xu

“…However, the standard YOLOv8-seg model still faces challenges, such as insufficient detection accuracy and blurred edges, when dealing with snow detection in complex backgrounds. …”
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Assessing the well-being of PhD scholars: a scoping review by Naheed Mahsood, Usman Mahboob, Muhammad Asim, Neelofar Shaheen

“…Abstract Background Gaining insight into the well-being of PhD scholars is essential for cultivating a nurturing academic environment that boosts their efficiency and adds to the overall excellence of higher education. …”
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Student scientific circle as a necessary component of higher medical education by V. N. Larina, E. V. Kudina, K. R. Mikava

“…The greatest attention in the SSC of the Department of Polyclinic Therapy should be given to clinical reviews of patients with complex diagnoses and problems in the selection of therapy, work with real examination results, including ECG, the continuity of the theoretical knowledge gained with their practical application. …”
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Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions by YiFan Chen, Weng Howe Chan, Eileen Lee Ming Su, Qi Diao

“…With the growing complexity and interdependence of urban systems, multi-objective optimization (MOO) has become a critical tool for smart-city planning, sustainability, and real-time decision-making. …”
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Development and application of Sinopec integrated management platform for underground gas storage by MI Lidong,ZENG Daqian,LIU Hua,ZHANG Guangquan,ZHANG Junfa

“…The integration of these phases is crucial for the safe construction and efficient operation of gas storage facilities. Given the complexity and scope of UGS, there is a pressing need for a comprehensive system that encompasses “management decision-making, monitoring, early warning, simulation analysis, and production control” to facilitate the integrated application of the entire gas storage process. …”
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Aqua-MC as a simple open access code for uncountable runs of AquaCrop by Vahid Adabi, Hadi Ramezani Etedali, Asghar Azizian, Faraz Gorginpaveh, Ali Salem, Ahmed Elbeltagi

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Enhancement of rime algorithm using quadratic interpolation learning for parameters identification of photovoltaic models by Shazly A. Mohamed, Abdullah M. Shaheen, Mohammed H. Alqahtani, Badr M. Al Faiya

“…Abstract Accurate parameter estimation in photovoltaic (PV) models is essential for optimizing solar energy systems, enhancing their efficiency, and ensuring precise performance predictions. …”
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Preparing Dutch Homes for Energy Transition by Prateek Wahi

“…However, with their high heating demands, many existing homes require significant renovations before efficiently transitioning to LTH-based systems. The selection of appropriate renovation strategies is complex, often leading to uncertainty and delays. …”
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Strategic innovations and future directions in deep learning for engineering applications: a systematic literature review by Arianna G. Tobias, Javeed Kittur

“…BackgroundDeep learning (DL), a subset of machine learning and artificial intelligence (AI), is transforming engineering by addressing complex problems with innovative solutions. Despite its growing influence, a comprehensive review of current trends, applications, and research gaps in engineering disciplines is essential to understand its full potential, limitations, and potential educational implications.PurposeThis study systematically explores the state, trends, and future directions of deep learning applications in engineering, and potential educational implications. …”
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APPA: An adaptation path planning algorithm for real-time obstacle avoidance in multi-robot systems by Jianzhi Jin, Mou Wu, Ping Fan, Guonian Jin

“…To enhance both planning efficiency and coordination, APPA integrates a reward mechanism that balances goal orientation and obstacle avoidance. …”
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Numerical Simulation of Multi-Cluster Fracture Propagation in Marine Natural Gas Hydrate Reservoirs by Lisha Liao, Youkeren An, Jinshan Wang, Yiqun Zhang, Lerui Liu, Meihua Chen, Yiming Gao, Jiayi Han

“…Natural gas hydrates (NGHs) are promising energy resources, although their marine exploitation is limited by low reservoir permeability and hydrate decomposition efficiency. Multi-cluster fracturing technology can enhance reservoir permeability, yet complex properties of hydrate sediments render the prediction of fracture behavior challenging. …”
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Comprehensive evaluation and ranking of CMIP6 global climate models for simulating climate extreme indices across diverse hydrological and geographical regions of Nepal by Shiksha Bastola, Koshish Raj Maharjan, Innkyo Choo, Younghun Jung

“…The proposed framework is scalable and transferable to other regions with complex climatic and topographic variations, enhancing the robustness of climate model selection for impact studies.…”
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Towards an intelligent integrated methodology for accurate determination of volume percentages in three-phase flow systems by Abdullah M. Iliyasu, Mohammad Sh. Daoud, Ahmed Sayed Salama, John William Grimaldo Guerrero, Kaoru Hirota

“…Further, through iterative elimination and re-evaluation, the algorithm refines the feature set, retaining only those with the highest relevance to the three-phase fluid composition. This feature selection process optimises the performance of subsequent machine learning models, streamlining the input space for enhanced interpretability and efficiency. …”
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Application of the Adaptive Mixed-Order Cubature Particle Filter Algorithm Based on Matrix Lie Group Representation for the Initial Alignment of SINS by Ning Wang, Fanming Liu

“…These results demonstrate that the proposed method substantially enhances the filtering accuracy, robustness, and computational efficiency of SINS, confirming its practical value for initial alignment in high-noise, complex dynamic, and nonlinear navigation systems.…”
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Data-Driven Battery Remaining Life Prediction Based on ResNet with GA Optimization by Jixiang Zhou, Weijian Huang, Haiyan Dai, Chuang Wang, Yuhua Zhong

“…Secondly, the deep feature extraction capability of ResNet is utilized to effectively capture the complex patterns and subtle changes during battery decline to alleviate the problem of gradient disappearance. …”
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A Hierarchical Archimedean Copula (HAC) model for climatic variables: an application to Kenyan data by Kevin Otieno, Linda Chaba, Linda Chaba, Evans Omondi, Evans Omondi, Collins Odhiambo, Collins Odhiambo, Bernard Omolo, Bernard Omolo

“…However, conventional copula approaches, such as the bivariate copula, often fail to capture complex interactions in high-dimensional climate data. …”
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Royal Society report: what would a comprehensive evaluation suggest about non-pharmaceutical interventions during COVID-19? by Elisabeth Paul, Garrett W. Brown, David Bell, Jean Merlin von Agris, Valéry Ridde

“…This paper performs a critical analysis of the Royal Society report and explains what a proper evaluation of NPIs would mean, arguing that theory-based evaluations are required to approach complex issues and nurture democratic debates on societal choices. …”
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Biophysical and Morphometric Characteristics of Sunflower Achenes: Implications for Industrial Processing and Byproduct Utilization by Jelena Ovuka, Jelena Jocković, Milan Jocković, Siniša Jocić, Sonja Gvozdenac, Miloš Krstić, Dušica Jovičić

“…Their byproducts indicate a complex interrelationship among the analyzed traits. …”
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A novel immunoinformatic approach for design and evaluation of heptavalent multiepitope foot-and-mouth disease virus vaccine by Mostafa R. Zaher, Mohamed H. El-Husseiny, Naglaa M. Hagag, Azza M. El-Amir, Mohamed E. El Zowalaty, Reham H. Tammam

“…Finally, the DNA sequence of the vaccine was cloned in pET-30a (+) for efficient expression in Escherichia coli. Conclusion The inclusion of computational and immunoinformatic approaches will ensure cost-effectiveness and rapid design of FMDV vaccine, decrease wet lab experimentation, and aid the selection of novel FMDV vaccines. …”
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THE CONSTRUCTION OF A TYPOLOGY OF BRANCH BANKS ON THE BASIS OF CLUSTER ANALYSIS AND NEURAL NETWORKS by D. S. Kurushin, E. E. Vasilyeva

“…The article analyzes Russia’s banking system, which is a complex, multi-layered, hierarchically organized system in which there exist different stable groups of banks. …”
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