Satellite and ground-based data to monitor urban heat islands. Cases of study: polish and italian cities by E. Głowienka, E. S. Malinverni, M. Kucza, K. Michałowska, M. Sanità

“…The study employs object-based classification using a Random Forest (RF) algorithm, enabling a detailed assessment of land surface temperature (LST) variations across different land cover types.…”
Get full text

Preoperative prediction of WHO/ISUP grade of ccRCC using intratumoral and peritumoral habitat imaging: multicenter study by Zhihui Chen, Hongqing Zhu, Hongmin Shu, Jianbo Zhang, Kangchen Gu, Wenjun Yao

“…The K-means clustering algorithm divided the tumor region into three sub-regions, and the Least Absolute Shrinkage and Selection Operator (LASSO) regression identified the most predictive features. …”
Get full text

Development and Validation of Subchannel Analysis Program for LMR Based on FEM by ZHU Xinyang, CHEN Ronghua, WANG Jinshun, TIAN Jiahao, QIU Suizheng, SU Guanghui, TIAN Wenxi

“…Additionally, a hybrid approach that integrates the discontinuous Galerkin (DG) and finite element method (FEM) for discretizing conservation equations was employed in FLARE PROGRAM. …”
Get full text

Topology-aware pathway analysis of spatial transcriptomics by Siras Hakobyan, Maria Schmidt, Hans Binder, Arsen Arakelyan

“…In this study, we address that gap by translating gene expression into pathway-level activity using the Pathway Signal Flow (PSF) algorithm. PSF integrates expression data with curated interaction networks to compute numeric activity scores for each branch of a biological pathway, producing a functionally annotated feature space that captures downstream signaling effects as branch-specific activity values. …”
Get full text

A Novel Method for Water Surface Debris Detection Based on YOLOV8 with Polarization Interference Suppression by Yi Chen, Honghui Lin, Lin Xiao, Maolin Zhang, Pingjun Zhang

“…Aquatic floating debris detection is a key technological foundation for ecological monitoring and integrated water environment management. It holds substantial scientific and practical value in applications such as pollution source tracing, floating debris control, and maritime navigation safety. …”
Get full text

Enhancing Aerosol Vertical Distribution Retrieval With Combined LSTM and Transformer Model From OCO-2 O2 A-Band Observations by YuXuan Wang, RuFang Ti, ZhenHai Liu, Xiao Liu, HaiXiao Yu, YiChen Wei, YiZhe Fan, YuYao Wang, HongLian Huang, XiaoBing Sun

“…Furthermore, a physics-based, information-driven band selection method was developed to simplify input data and reduce complexity. To enhance the algorithm's applicability, the model was applied across the entire African continent and adjacent water bodies. …”
Get full text

Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning by Rakesh Batchala, Priyank Jain, Manasi Gyanchandani, Sanyam Shukla, Rajesh Wadhvani

“…We investigated the synergy between Convolutional Neural Networks (CNNs) and two reinforcement learning algorithms: the value-based Deep Q-Network (DQN) and the policy-based Advantage Actor-Critic (A2C). …”
Get full text

Linking Animal Feed Formulation to Milk Quantity, Quality, and Animal Health Through Data-Driven Decision-Making by Oreofeoluwa A. Akintan, Kifle G. Gebremedhin, Daniel Dooyum Uyeh

“…Leveraging advanced analytical techniques, such as machine learning and optimization algorithms, have created highly accurate feed formulations tailored to specific livestock needs. …”
Get full text

Research on Security Enhancement for Abnormal Content Release in Unified Audio Video Information service Systems by FENG Junhao

“…Method The content audit system using decision tree algorithms is combined with a unified audio video information service system, to construct an integrated data and multi-dimensional information security model, thereby improving the existing audio video information security management system. …”
Get full text

About need to improve game resource management by V. G. Safonov, V. M. Glushkov

“…Conception on resource management of game animals must be communal designed and adopted in State level; it must be form as a state-funded program with permanent institutions and algorithms of implementation. The transition to integrated environmental management in our country will require not only ecological studies, but legal foundations of land use focused on the complexity. …”
Get full text

Predicting cancer risk using machine learning on lifestyle and genetic data by Mohamed Abdelmoaty Ahmed, Ahmed AbdelMoety, Asmaa Mohamed Ahmed Soliman

“…This research underscores the value of integrating genetic and modifiable lifestyle variables into predictive modeling to enhance early detection and preventive healthcare strategies.…”
Get full text

A model of thalamo-cortical interaction for incremental binding in mental contour-tracing. by Daniel Schmid, Heiko Neumann

“…They utilize Gestalt properties and eventually show growth-cone characteristics labeling perceptual items by delayed activity enhancement of neuronal firing rates. We discuss the algorithmic process underlying incremental binding and relate it to our model computations. …”
Get full text

The battle for TNCs in Latin America: navigating policy trends and sociotechnical controversies in the regulation of ride-hailing platforms by Ronald Sáenz-Leandro

“…The latter underscores persistent power asymmetries among stakeholders and highlights the value of integrating Science and Technology Studies (STS) perspectives with Political Science, demonstrating how platform regulation is continuously co-produced through interactions among technologies, political institutions, and social interests. …”
Get full text

Ensemble stacking: a powerful tool for landslide susceptibility assessment – a case study in Anhua County, Hunan Province, China by Lei-Lei Liu, Aasim Danish, Xiao-Mi Wang, Wen-Qing Zhu

“…In this study, we evaluate and compare the effectiveness of six machine learning algorithms for predicting landslide susceptibility in Anhua County, Hunan Province, China. …”
Get full text

Pork-YOLO: Automated collection of pork quality traits by Jiacheng Wei, Xi Tang, Jinxiu Liu, Ting Luo, Yan Wu, Junhui Duan, Shijun Xiao, Zhiyan Zhang

“…Next, the StarNet backbone was integrated, employing star-shaped operations for high-dimensional feature representation while maintaining computational efficiency, along with a hierarchical convolutional structure to boost performance. …”
Get full text

Multiclass Fault Diagnosis in Power Transformers Using Dissolved Gas Analysis and Grid Search-Optimized Machine Learning by Andrew Adewunmi Adekunle, Issouf Fofana, Patrick Picher, Esperanza Mariela Rodriguez-Celis, Oscar Henry Arroyo-Fernandez, Hugo Simard, Marc-André Lavoie

“…To address these limitations, this study proposes a unified multiclass classification model that integrates traditional gas ratio features with supervised machine learning algorithms to enhance fault diagnosis accuracy. …”
Get full text

Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models by Wei Chen, Haotian Zheng, Binglin Ye, Tiefeng Guo, Yude Xu, Zhibin Fu, Xing Ji, Xiping Chai, Shenghua Li, Qiang Deng

“…Similarly, in the validation dataset, these models achieved AUC values of 0.961, 0.943, 0.789, 0.957, 0.824, and 0.76. …”
Get full text

Harnessing the machine learning and nomogram models: elevating prognostication in nonmetastatic gastric cancer with “double invasion” for personalized patient care by Zhenwen Hao, Zhiming Wang, Jinfeng Ma, Yifan Li, Wenbin Zhang

“…All models showed good calibration with low integrated Brier scores (< 0.1), although there was calibration drift over time, particularly in the traditional nomogram model. …”
Get full text

Modelling soil prokaryotic traits across environments with the trait sequence database ampliconTraits and the R package MicEnvMod by Jonathan Donhauser, Anna Doménech-Pascual, Xingguo Han, Karen Jordaan, Jean-Baptiste Ramond, Aline Frossard, Anna M. Romaní, Anders Priemé

“…We created the trait sequence database ampliconTraits, constructed by cross-mapping species from a phenotypic trait database to the SILVA sequence database and formatted to enable seamless classification of environmental sequences using the SINAPS algorithm. The R package MicEnvMod enables modelling of trait – environment relationships, combining the strengths of different model types and integrating an approach to evaluate the models' predictive performance in a single framework. …”
Get full text

A nomogram combining clinical features, O-RADS US, and radiomics based on ultrasound imaging for diagnosing ovarian cancer by Wenting Xie, Yaoqin Wang, Zhongshi Du, Yijie Chen, Xiaohui Ke, Tingfan Wu, Zhilan Wang, Lina Tang

“…O-RADS US characteristics, radiomics score, and clinical features selected using the LASSO algorithm were used to develop O-RADS US + Radscore + Clinical, Radscore + Clinical, and O-RADS US + Clinical models, respectively. …”
Get full text