Enhancing burned area monitoring with VIIRS dataset: A case study in Sub-Saharan Africa by Boris Ouattara, Michael Thiel, Barbara Sponholz, Heiko Paeth, Marta Yebra, Florent Mouillot, Patrick Kacic, Kwame Hackman

“…This paper describes and evaluates the effectiveness of our developed hybrid algorithm, which utilizes VIIRS reflectance and active fire products on the Google Earth Engine platform, in producing efficient information about BA. …”
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Efficient Deep Learning Models Revolutionize Doctor’s Training for Point-of-Care Ultrasound by Hsin-Hung Chou, Yi-Chung Chang, Wan-Ching Lien, Lung-Chun Lin, Xing-Zheng Lin, Ting-En Hsu, Yueh-Ping Liu, Li Liu, Yen-Ting Chan, Feng-Sen Kuan

“…Their learning performance was also evaluated. The UNet++ algorithm surpassed the other two, attaining an impressive sensitivity of 96%, specificity of 97%, area under the curve (AUC) of 98%, intersection over union (IOU) of 81%, and minimal latency. …”
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From Biopsy to Diagnosis: Navigating Aggressive B-Cell Lymphomas in Practice by Georgian Halcu, Anca Evsei-Seceleanu, Mihai Cerbu, Marina Alina Bara, Andrei Turbatu, Mihail Constantin Ceausu

“…This review presents a practical method for differentiating DLBCL from other aggressive B-cell neoplasms, such as Burkitt lymphoma, B-lymphoblastic lymphoma, and mantle cell lymphoma. …”
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Impact Assessment of Second-Life Batteries and Local Photovoltaics for Decarbonizing Enterprises Through System Digitalization and Energy Management by Gerard Borrego-Orpinell, Jose-Fernando Forero, Adriano Caprara, Francisco Díaz-González

“…A sensitivity analysis has been carried out to evaluate the potential of this methodology for enterprises in different contexts, where different battery sizes, PV installations, consumption types, and environmental prioritization policies are encountered. …”
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An analytical assessment of credit card fraud detection techniques: Supervised, Unsupervised, and Reinforcement Learning by Abdourahman Djamal Djama

“…Result. An analytical evaluation of fraud detection methods is provided, covering different learning approaches: supervised, unsupervised and reinforcement learning. …”
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Comparative Study of Random Forest and Support Vector Machine for Land Cover Classification and Post-Wildfire Change Detection by Yan-Cheng Tan, Lia Duarte, Ana Cláudia Teodoro

“…The land use land cover (LULC) map is extensively employed for different purposes. Machine learning (ML) algorithms applied in remote sensing (RS) data have been proven effective in image classification, object detection, and semantic segmentation. …”
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Dual-Resource Optimization Configuration and Collaborative Scheduling for Flexible Job Shop Under Worker Flexibility Constraints by Zijie Ren, Hongyi Qu, Mejdl Safran, Jiafu Wan

“…A method based on the worker ability matrix, proficiency, and skill level coefficients is introduced to quantify and evaluate worker flexibility and individual differences. …”
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Early detection of bacterial pneumonia by characteristic induced odor signatures by Kim Arnold, Alejandro Gómez-Mejia, Miguel de Figueiredo, Julien Boccard, Kapil Dev Singh, Serge Rudaz, Pablo Sinues, Annelies S. Zinkernagel

“…The detected VOCs were analyzed using a pre- and post-processing algorithm along with ANOVA and RASCA statistical evaluation methods. …”
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Integrative multiomics analysis reveals the subtypes and key mechanisms of platinum resistance in gastric cancer: identification of KLF9 as a promising therapeutic target by Pengcheng Zhang, Lexin Wang, Haonan Lin, Yihui Han, Jingfang Zhou, Hang Song, Peng Wang, Huanhuan Tan, Yajuan Fu

“…These functional differences in platinum resistance gene models were further explored in GC. …”
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Lactylation Modification as a Promoter of Bladder Cancer: Insights from Multi-Omics Analysis by Yipeng He, Lingyan Xiang, Jingping Yuan, Honglin Yan

“…Functional enrichment analysis, tumor microenvironment analysis, and treatment response evaluation were performed on the high- and low-risk groups. …”
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Study on Energy Efficiency and Maintenance Optimization of Run-Out Table in Hot Rolling Mills Using Long Short-Term Memory-Autoencoders by Ju-Woong Yun, So-Won Choi, Eul-Bum Lee

“…By integrating the technical advantages of these two algorithms, a predictive maintenance model based on the LSTM-AE algorithm, named the Run-Out Table Predictive Maintenance Model (ROT-PMM), was developed. …”
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Mechanistic role of miR-375 in regulating PDPK1 to promote progression of small bowel neuroendocrine tumors: a silico analysis by Tao Ren, Lu Zhou, Zhenlong Li, Mingmei Pan, Xueqiong Han

“…Enrichment and coexpression analyses were carried out for DEmRs. XGBoost algorithm was used to screening feature miRNAs. Module genes in SBNETs-related pathways were selected to construct regulated network for feature miRNAs. …”
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Study on Distributed Ultrasonic Detection Method of Two-dimensional Gas Temperature Field by LI Shaozhuang, SHI Youan, LU Xiaokang, CHEN Yu, WEI Dong

“…The accuracy of the LQ‒SVD algorithm was analyzed by evaluating the maximum absolute error, mean error, and root mean square error between the reconstructed temperature field and the original temperature field, and the results were compared to those of three other common algorithms. …”
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Similarity measure for intuitionistic fuzzy sets and its applications in pattern recognition and multimodal medical image fusion by Anjali Patel, Deepa Gupta, E. A. Gopalakrishnan, Divya Sasidharan, V. Sowmya, Mohammed Zakariah, Abdulaziz S. Almazyad

“…To construct an image fusion algorithm, initially, we employ a two-layer decomposition method based on Gaussian filtering to the source images of different modalities to decompose them into the base subimages and the detailed subimages. …”
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Could chronic Vardenafil administration influence the cardiovascular risk in men with type 2 diabetes mellitus? by Daniele Santi, Michela Locaso, Antonio R Granata, Tommaso Trenti, Laura Roli, Chiara Pacchioni, Vincenzo Rochira, Cesare Carani, Manuela Simoni

“…<h4>Results</h4>Predicted cardiovascular risk at ten years resulted different using the three algorithms chosen, without differences between study and control groups and among visits. …”
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A Progressive Noise Removal Method for ICESat-2 Data Based on Terrain Slope Adaptive Calculation by Z. Hui, Z. Hui, Z. Hui, L. Zhang, L. Zhang, L. Zhang, Y. Chen, P. Cheng, P. Cheng, P. Cheng, Y. Xia, Y. Xia, Y. Xia, T. Hui, Z. Huang

“…To evaluate the effectiveness of the proposed method, experimental data sets from two regions with different geographical characteristics in the United States are selected for testing. …”
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Integrative analysis of epigenetic subtypes in acute myeloid Leukemia: A multi-center study combining machine learning for prognostic and therapeutic insights. by Jincan Li, Shengyue Wang

“…Drug sensitivity was predicted using the pRRophetic algorithm with GDSC database reference.<h4>Results</h4>Multi-omics integration revealed two molecularly distinct AML subtypes with significant survival differences (CS2 vs CS1, P < 0.001). …”
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A homophilic and dynamic influence maximization strategy based on independent cascade model in social networks by Gang Wang, Shangyi Du, Yurui Jiang, Xianyong Li

“…This has led to inaccurate simulations of information spread and influence propagation between nodes, with traditional IM algorithms’ selected seed node sets failing to adapt to network evolution. …”
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Exploring Heterogeneity in Car-Following Behaviors Based on Driver Visual Characteristics: Modeling and Calibration by Congcong Bai, Jun Jing, Bokun Liu, Wenbin Yao, Chengcheng Yang, Adjé Jérémie Alagbé, Sheng Jin

“…The driver’s visual characteristic variables were then incorporated to improve the full velocity difference (FVD) model. Genetic algorithms were employed to calibrate the model under different car-following types, revealing pronounced behavioral variations. …”
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A new internal clustering validation index for categorical data based on concentration of attribute values by FU Li-wei, WU Sen

“…For data without a clustering structure, clustering results need to be evaluated. For data with a clustering structure, different results obtained under different algorithms and parameters also need to be further optimized by clustering validation. …”
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