Improving Earth surface temperature forecasting through the optimization of deep learning hyper-parameters using Barnacles Mating Optimizer by Zuriani Mustaffa, Mohd Herwan Sulaiman, Muhammad ‘Arif Mohamad

“…Time series forecasting is crucial across various sectors, aiding stakeholders in making informed decisions, planning for the short and long term, managing risks, optimizing profits, and ensuring safety. …”
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Evaluation of Knowledge Management Maturity Level in Iranian Audiovisual Archives Based on the APQC Model by Sepideh Ciruskabiri, Atefeh Sharif, Saeed Rezaei Sharifabadi, Mohammad Hassanzadeh

“…Moreover, investment in modernizing technological infrastructures and integrating innovative tools—such as artificial intelligence and machine learning algorithms—can markedly enhance the processes of data collection, storage, and retrieval. …”
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An Upper Partial Moment Framework for Pathfinding Problem Under Travel Time Uncertainty by Xu Zhang, Mei Chen

“…It holds strong potential for applications in traveler information systems, transportation planning, and network resilience analysis.…”
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Management of capital renewal at machine-building enterprises by N.A. Yefimenko

“…A unified set of processes for the enrichment forecasting and strategic planning of the enterprises of mechanical restlessness has been proposed based on the algorithm of the functioning of the mechanism for controlling the enrichment renewal process, which is based on the division of the main workers and workers at work places, focusing on activating labor potential, health care provision of a system of rich coordination of individual actions and functions The industrial-state sector of mechanical engineering has a focus on achieving an integral economic effect in material and intellectual production. …”
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Detecting Planetary Oblateness in the Era of JWST: A Case Study of Kepler-167e by Quanyi Liu, Wei Zhu, Yifan Zhou, Zhecheng Hu, Zitao Lin, Fei Dai, Kento Masuda, Sharon X. Wang

“…Planets may be rotationally flattened, and their oblateness thus provides useful information on their formation and evolution. Here, we develop a new algorithm that can compute the transit light curve due to an oblate planet very efficiently and use it to study the detectability of planet oblateness (and spin obliquity) with the James Webb Space Telescope (JWST). …”
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The Short-Term Impacts of the 2017 Portuguese Wildfires on Human Health and Visibility: A Case Study by Diogo Lopes, Isilda Cunha Menezes, Johnny Reis, Sílvia Coelho, Miguel Almeida, Domingos Xavier Viegas, Carlos Borrego, Ana Isabel Miranda

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Coastal Wetlands Classification and Carbon Storage Estimation: A Case Study of the Region Surrounding the South China Sea by Guanglin Lai, Zhi He, Chengle Zhou, Youwei Wang

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Adaptation of strategic management accounting to the ac tivities of medical equipment distributors by N. A. Kamordzhanova, E. V. Satalkina, N. D. Fedorova

“…Taking into account the consequences of the transformation of the healthcare system under the influence of trends and tendencies in the development of the global and Russian medical market, it can be stated that in the current conditions for participants in the medical equipment market, taking into account internal and external factors is of key importance when making informed management decisions. The use of a strategic approach is becoming a key part of the management system of organizations, providing the tools necessary to ensure sustainability and competitiveness, including long-term planning, risk analysis and the use of innovative solutions. …”
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Clinical-oriented 3D visualization and quantitative analysis of gingival thickness using convolutional neural networks and CBCT by Lan Yang, Lan Yang, ZiCheng Zhu, Yongshan Li, Jieying Huang, Xiaoli Wang, Haoran Zheng, Jiang Chen

“…ObjectiveTraditional gingival thickness (GT) assessment methods provide only point measurements or simple classifications, lacking spatial distribution information. This study aimed to develop a CBCT-based 3D visualization system for gingival thickness using deep learning, providing a novel spatial assessment tool for implant surgery planning.MethodsCBCT and intraoral scanning (IOS) data from 50 patients with tooth loss were collected to establish a standardized dataset. …”
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China's annual forest age dataset at a 30 m spatial resolution from 1986 to 2022 by R. Shang, R. Shang, X. Lin, J. M. Chen, J. M. Chen, Y. Liang, K. Fang, M. Xu, Y. Yan, W. Ju, G. Yu, N. He, L. Xu, L. Liu, J. Li, W. Li, J. Zhai, Z. Hu

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Integrating data from unmanned aerial vehicles and Sentinel-2 with PROSAIL-5D-driven machine learning for fuel moisture content estimation in agroecosystems by Jinlong Liu, Jia Jin, Jing Huang, Mengjuan Wu, Shaozheng Hao, Haoyi Jia, Tengda Qin, Yuqing Huang, Dan Chen, Nathsuda Pumijumnong

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An Effective Ensemble Approach for Preventing and Detecting Phishing Attacks in Textual Form by Zaher Salah, Hamza Abu Owida, Esraa Abu Elsoud, Esraa Alhenawi, Suhaila Abuowaida, Nawaf Alshdaifat

“…We provide two approaches for the planned task; The first technique employs ensemble learning soft voting, while the second employs weighted ensemble learning. …”
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Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model by Jiacan Wu, Guanghong Tao, Siyuan Xie, Han Yang, Fenglin Qi, Naiyue Bao, Zhuo Li, Guanglei Chang, Hua Xiao

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A crack detection and quantification method using matched filter and photograph reconstruction by Liu Zhen-liang, Zhou An, Ran Xin-ru, Wu Yun-peng, Zhao Wei-gang, Zhang Hao

“…This 3D model, annotated with detected cracks, provides an intuitive and comprehensive representation of bridge damage, facilitating informed decision making in maintenance planning and resource allocation. …”
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To accurately predict lymph node metastasis in patients with mass-forming intrahepatic cholangiocarcinoma by using CT radiomics features of tumor habitat subregions by Pengyu Chen, Zhenwei Yang, Peigang Ning, Hao Yuan, Zuochao Qi, Qingshan Li, Bo Meng, Xianzhou Zhang, Haibo Yu

“…Methods Clinical, radiological, and pathological data from ICC patients were retrospectively collected. Using information from the arterial and venous phases of multisequence CT images, tumor habitat subregions were delineated through the K-means clustering algorithm. …”
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Forecasting Urban Sprawl Dynamics in Islamabad: A Neural Network Approach by Saddam Sarwar, Hafiz Usman Ahmed Khan, Falin Wu, Sarah Hasan, Muhammad Zohaib, Mahzabin Abbasi, Tianyang Hu

“…As a result of inadequate urban planning and spatial distribution, it has significantly influenced land use–land cover (LULC) changes and green areas. …”
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Morphometric and radiomics analysis toward the prediction of epilepsy associated with supratentorial low-grade glioma in children by Min-Lan Tsai, Kevin Li-Chun Hsieh, Yen-Lin Liu, Yi-Shan Yang, Hsi Chang, Tai-Tong Wong, Syu-Jyun Peng

“…This model provides a highly accurate tool for distinguishing epilepsy-associated LGG in children, supporting precise treatment planning. Trial registration Not applicable.…”
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Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City by Naser Shafiei Sabet, Faranak Feyzbabaei cheshmeh sefidi

“…Therefore, planners should consider this extensive urban growth and development to carry out their plans more efficiently.…”
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Enhancing Crop Yield Prediction Using IoT-Based Soil Moisture and Nutrient Sensors by Alsalami Zaid, Mohammed G., Srinivas Tummala

“…Crop yield prediction is crucial for ensuring food security by enabling farmers to optimize resource use, manage risks, and plan for market demands, ultimately leading to increased agricultural productivity and sustainability..The IoT-based crop yield prediction system integrates advanced sensing technologies, communication protocols, machine learning algorithms, and real-time monitoring to optimize crop production. …”
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Dominant Tree Species Mapping Using Machine Learning Based on Multi-Temporal and Multi-Source Data by Heyi Guo, Sornkitja Boonprong, Shaohua Wang, Zhidong Zhang, Wei Liang, Min Xu, Xinwei Yang, Kaimin Wang, Jingbo Li, Xiaotong Gao, Yujie Yang, Ruichen Hu, Yu Zhang, Chunxiang Cao

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