Categorization of Celebrity Photos Based on Deep Machine Learning for Feature Extraction and Classification by Salwa Shakir Baawi, Farah Jawad Al-Ghanim, Nisreen Ryadh Hamza

“…This paper aims to analyze celebrity categorization based on deep features under different conditions. Most algorithms are influenced by these problematic factors, whether intentionally or unintentionally. …”
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Impacts of wildfire on soil characteristics in subtropical Chir Pine forests of Murree, Pakistan by Arif Hussain, Muhammad Irfan Ashraf, Sajjad Hussain, Muhammad Atif, Beenish Akram Khan

“…These fires influence soil characteristics as well as tree-species growth and survival. …”
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Obesity: A Modulator in Acne Management by Jean-Paul Claudel, Fabienne Ballanger, Nicole Auffret, Marie-Thérèse Leccia, Brigitte Dréno

“…Different exposome factors, including hormonal and family factors, have been suggested to influence acne. Obesity is an increasingly observed condition worldwide, and is considered as a public health problem by the World Health Organization. …”
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Assessing the effectiveness of mangrove rehabilitation using above-ground biomass and structural diversity by Asamaporn Sitthi, Uday Pimple, Camille Piponiot, Valery Gond

“…A common allometric model and linear regression analysis were used to evaluate the influence of species diversity, structural complexity, and tree density on AGB. …”
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Probabilistic Seismic Hazard Analysis Assessment in Cianjur Following the Mw 5.6, 2022 Earthquake by Yusufa Kholifa Ardha, Iman Satyarno, Gayatri Indah Marliyani

“…We apply updated ground motion prediction equations (GMPEs) and utilize the logic tree method to account for uncertainties in attenuation equations and source parameters. …”
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The Impact of Natural and Cultural Landscape Quality on Attachment to Place and the Intention to Recommend Tourism in a UNESCO World Heritage City by Dong Lv, Shukun Qin, Rui Sun, Xuxin Jiang, Ruxia Cheng, Weimin Sun

“…Study 3 demonstrated the efficacy of a Decision Tree model in classifying landscape naturalness based on EEG features. …”
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Heart Disease Diagnostics Using Meta-Learning-Based Hybrid Feature Selection by Kaushalya Dissanayake, Md Gapar Md Johar

“…Heart disease, encompassing a range of conditions affecting the heart, remains a leading cause of morbidity and mortality worldwide. …”
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The Research on Diagnosis Technology of High-speed Train Power Chain Based on Electrical Signal by Jianghua FENG

“…Due to the long-term operation in complex and harsh environment, the influence of wide speed range, heavy load conditions and rail surface impact, the transmission components are easy to cause faults, which will affect the normal operation of vehicles and traffic order. …”
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Todim-Based Complex Spherical Fuzzy VIKOR Method for Evaluating the Optimal Band Interval for Classification of Cashmere and Wool Fibers in near-Infrared Spectroscopy by Xinlong Li, Yuhong Du, Ziqi Rong, Shuaijie Zhao

“…The proposed CSF-TODIM-VIKOR model achieved an F1-score of 0.893, significantly outperforming baseline methods such as logistic regression (0.832), decision tree (0.818), and KNN (0.797), with statistical significance (p < 0.001). …”
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Comprehensive transcriptional analysis of ethylene and softening regulation in plums with distinct climacteric ripening behaviors by Po-Kai Huang, George A. Manganaris, Ksenija Gasic, Christopher A. Saski, Diane M. Beckles, Carlos H. Crisosto

“…PpACO1, PpPL1, PpBGAL16, PpNAC2, and PpJID1 expression patterns were conserved across cultivars and experimental conditions. Our findings provide novel insights into the transcriptional regulation of climacteric ripening and offer a strategic framework for future genetic studies in plum and other tree crops.…”
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Machine learning prediction of ammonia nitrogen adsorption on biochar with model evaluation and optimization by Chong Liu, Paramasivan Balasubramanian, Jingxian An, Fayong Li

“…Using SHAP and Partial Dependence Plots, we found experimental conditions (67.2%) and biochar’s chemical properties (18.2%) most influenced adsorption capacity. …”
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Sustainable Fertilization of Organic Sweet Cherry to Improve Physiology, Quality, Yield, and Soil Properties by Liliana Gaeta, Luigi Tarricone, Alessandro Persiani, Angelo Fiore, Francesco Montemurro, Daniela De Benedetto, Carolina Vitti, Pasquale Campi, Mariangela Diacono

“…The results indicated that compost tea, applied both to the soil and as a foliar spray, significantly improved tree water status, particularly under water stress conditions, as reflected by more negative stem water potential values. …”
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Leveraging Feature Sets and Machine Learning for Enhanced Energy Load Prediction: A Comparative Analysis by Fernando Pedro Silva Almeida, Mauro Castelli, Nadine Côrte-Real

“…Since meteorological conditions highly influence cooling demand, leveraging external air data and user metrics offers a promising approach to estimate a building's hourly cooling energy usage. …”
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Environmental determinants of intraspecific variation in five functional traits of Pinus yunnanensis Franch by Xinrui Song, Ying Liu, Dongli Yu, Shuting Li, Wuchao Gao, Hong Zeng, Hong Zeng, Dongyu Cao, Dongyu Cao, Shixing Zhou, Shixing Zhou, Xinglei Cui, Xinglei Cui

“…In this study, we examined the relationships between five functional traits (bark thickness, tree height, leaf dry matter content, leaf length, and specific leaf area) and habitat conditions across 20 populations, representing three varieties: var. yunnanensis (the original variety), var. pygmaea, and var. tenuifolia. …”
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Effects of Hardwood Biomass Variability on Biochar Properties: Insights from Wood Waste Utilization by Saowanee Wijitkosum, Thavivongse Sriburi

“…The structural and compositional diversity among wood species significantly influences the properties of the resulting biochar. …”
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Application of UAV and satellite technologies for assessing phytophthora root rot severity in avocado orchards by S. Duncan, A. McLeod, C. Poblete-Echeverria

“…A field experiment was conducted in two avocado blocks to investigate the effect of spatial resolution, phenological stages, and canopy conditions on the mapping of PRR severity. The results of this study showed that canopy management practices revealed a pronounced influence in the determination of the severity ranking using remote sensing (RS) methods and that these methods can be used as an alternative to visual estimations. …”
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Integrating environmental and LULC drivers of groundwater droughts in groundwater-dependent ecosystems: a machine learning (XGBoost)-SEM analysis with ecosystem implications by Kawawa Banda, Christopher Shilengwe, Imasiku Nyambe

“…The study aims to: (a) characterize the spatial-temporal distribution of groundwater drought in the catchment, (b) identify hydrological and terrestrial drivers affecting groundwater drought, (c) rank the drivers according to their impact on the groundwater distribution/system, and (d) explore groundwater management actions under drought conditions i.e. disaster risk management. Methods Influencing factors, which include meterological drought indicators (such as Standardized Precipitation Evapotranspiration Index, SPEI), teleconnection factors (ENSO, PDO and AMO), and anthropogenic factors (land use and land cover (LULC)), were investigated and quantitatively compared based on Spearman correlation analysis and a decision tree machine learning model (extreme gradient boosting, XGBoost). …”
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Data driven assessment of built environment impacts on urban health across United States cities by Siavash Ghorbany, Ming Hu, Siyuan Yao, Matthew Sisk, Chaoli Wang, Kai Zhang, Quynh Camthi Nguyen

“…The findings revealed certain building features profoundly influence urban health, including lead paint as a persistent health hazard, while air conditioning boosts health outcomes. …”
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Interpretable machine learning modeling of temperature rise in a medium voltage switchgear using multiphysics CFD analysis by Mahmood Matin, Amir Dehghanian, Amir Hossein Zeinaddini, Hossein Darijani

“…This paper investigates the influence of four key manufacturing and operational parameters, both categorical and continuous, on temperature rise in a medium voltage (MV) switchgear case study. …”
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Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain by Ali Asghar Rostami, Mohammad Taghi Sattari, Halit Apaydin, Adam Milewski

“…Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. …”
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