Numerical Study of Air Cushion Effect in Notched Disk Water Entry Process Using Structured Arbitrary Lagrangian–Eulerian Method by Zhe Zhang, Nana Yang, Jinlong Ju, Xingzhi Bai, Houcun Zhou, Wenhua Wu

“…Systematic analysis of the effects of notch size, water entry velocity, and entry angle on the evolution of the free surface, impact loads, and structural responses uncovers several novel findings. …”
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Underwater Target Localization Method Based on Uniform Linear Electrode Array by Wenjing Shang, Feixiang Gao, Jiahui Liu, Yunhe Pang, Sergey V. Volvenko, Vladimir M. Olshanskiy, Yidong Xu

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Unveiling Hidden Structures: Multi-Platform IoT Malware Analysis Using Graph Embeddings by Remus M. Petrache, Ciprian Oprisa, Camelia Lemnaru

“…Moreover, we propose an efficient method for computing graph similarities for graphs with multiple connected components, which achieves accuracy on par with the cubic Hungarian Algorithm matching approach. The evaluations conducted on a dataset containing clean samples and malware from 18 distinct families indicate that our CFG embedding similarity approach can easily identify most malware family samples belonging to the same family, for the same platform, obtaining AUC scores above 90%. …”
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HSF-IBI: A Universal Framework for Extracting Inter-Beat Interval from Heterogeneous Unobtrusive Sensors by Zhongrui Bai, Pang Wu, Fanglin Geng, Hao Zhang, Xianxiang Chen, Lidong Du, Peng Wang, Xiaoran Li, Zhen Fang, Yirong Wu

“…The algorithm is morphology-independent and can be adapted to different sensors. …”
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Caffeine Content Prediction in Coffee Beans Using Hyperspectral Reflectance and Machine Learning by Dthenifer Cordeiro Santana, Rafael Felipe Ratke, Fabio Luiz Zanatta, Cid Naudi Silva Campos, Ana Carina da Silva Cândido Seron, Larissa Pereira Ribeiro Teodoro, Natielly Pereira da Silva, Gabriela Souza Oliveira, Regimar Garcia dos Santos, Rita de Cássia Félix Alvarez, Carlos Antonio da Silva Junior, Matildes Blanco, Paulo Eduardo Teodoro

“…Each database was subjected to different machine learning models: artificial neural networks (ANNs), decision tree (DT), linear regression (LR), M5P, and random forest (RF) algorithms. …”
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S. Spitz nevus – Clinical, Dermatoscopic and Histological Features Correlation – Cases Report by T. Shulaia, N. Kiladze, A. Miriamidze

“…Digital dermatoscopic images were captured using Dermatoscope (DermLite DL3) mounted on the digital camera Galaxy S-4 Samsung Corporation) using the ultrasound gel for imersion dermatoscopy. All images were evaluated in accordance with algorithm of H. Kittler. …”
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Mendelian randomization and bioinformatics analysis of TRIM31 with chronic liver disease by YOU Junyi, LIANG Guoqiang, SONG Xiudao

“…The expression level of TRIM31 in HCC was analyzed using TCGA data, and the correlation between TRIM31 expression and immune cell infiltration was analyzed using the CIBERSORT algorithm. The diagnostic accuracy was evaluated by ROC curves. …”
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A novel network with enhanced edge information for left atrium segmentation from LGE-MRI by Ze Zhang, Zhen Wang, Xiqian Wang, Kuanquan Wang, Yongfeng Yuan, Qince Li

“…Additionally, the generalizability of our model was evaluated on the heart dataset from the Medical Segmentation Decathlon (MSD) challenge, confirming its robustness across different clinical scenarios involving LA segmentation.…”
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Comparison of Deep Learning Sentiment Analysis Methods, Including LSTM and Machine Learning by Jean Max T. Habib, A. A. Poguda

“…We present a comparison of several deep learning models, including convolutional neural networks, recurrent neural networks, and long-term and shortterm bidirectional memory, evaluated using different approaches to word integration, including Bidirectional Encoder Representations from Transformers (BERT) and its variants, FastText and Word2Vec. …”
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Discovering temporal, spatial, and contextual anomalous social activities from streaming social media datasets by Mete Celik, Ahmet Sakir Dokuz, Alper Ecemis, Emre Erdogmus

“…The proposed Temporal, Spatial, and Contextual Anomalous Social Activity Miner (TSCASA-Miner) algorithm is experimentally evaluated with a naive alternative and related studies. …”
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Comparative analysis of machine learning models for malaria detection using validated synthetic data: a cost-sensitive approach with clinical domain knowledge integration by Gudi V. Chandra Sekhar, Chekol Alemu

“…Five machine learning algorithms were evaluated using comprehensive statistical validation including bootstrap confidence intervals and significance testing. …”
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Operational considerations for approximating molecular assembly by Fourier transform mass spectrometry by Gabriella M. Weiss, Gabriella M. Weiss, Gabriella M. Weiss, Silke Asche, Hannah McLain, Angela H. Chung, Angela H. Chung, Angela H. Chung, S. Hessam M. Mehr, Leroy Cronin, Heather V. Graham

“…The raw mass spectrometry data was compared with two different MA processing algorithms - one that uses the parent molecule spectrum and molecular weight (recursive) and one that does not (non-recursive). …”
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FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION by REN Taizhu, FAN Jun, JIANG Xiaxin

“…The characteristic indexes of different fault conditions were evaluated, and the private rule database of each working condition was obtained. …”
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Comparison of Numerical Results With Experiment Using Digital Image Correlation System of Multiobjective Structural Optimised Wind Turbine Blade by Ramazan Özkan, Mustafa Serdar Genç

“…The optimisation algorithm defined several variables, including structural constraints, the type of composite material and the number of composite layers to form a mathematical model. …”
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Research on Hyperspectral Inversion of Soil Organic Carbon in Agricultural Fields of the Southern Shaanxi Mountain Area by Yunhao Han, Bin Wang, Jingyi Yang, Fang Yin, Linsen He

“…Rapidly obtaining information on the content and spatial distribution of soil organic carbon (SOC) in farmland is crucial for evaluating regional soil quality, land degradation, and crop yield. …”
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Thermal analysis and multi-objective optimization of equal-area microfluidic cooling systems by Yucheng Wang, Antong Bi, Yue Yao, Weiting Chen, Kaiyu Chen, Shenxin Yu, Jiangang Yu, Chao Wang, Wei Li, Shaoxi Wang

“…However, most current structural designs do not take into account the constraint of a fixed heat transfer area, limiting the practical relevance and comparability of performance evaluations. This study investigates the effects of different microchannel geometries on cooling performance while maintaining a constant heat transfer area. …”
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Comparative Analysis of Deep Learning Methods for Classification of Ablated Regions in Hyperspectral Images of Atrial Tissue by Yeva Gabrielyan, Arpi Hunanyan, Sona Bezirganyan, Lusine Davtyan, Ani Avetisyan, Narine Sarvazyan, Aram Butavyan, Varduhi Yeghiazaryan

“…The 45 classification algorithms are benchmarked through two types of experiments: objective and subjective. …”
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Antifungal Metabolites from High-Altitude Soil Actinomycetes Isolated from Nepal by Sagar Aryal, F.P. Jake Haeckl, Rameshwar Adhikari, Balmukunda Regmi, Dev Raj Joshi

“…Feature-Based Molecular Networking (FBMN) was used to create molecular networks and visualized using Cytoscape v. 3.8.2. Evaluation of LC-MS data of the different active extracts revealed several known compounds that can plausibly exhibit antifungal activity. …”
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Machine learning reveals the dynamic importance of accessory sequences for Salmonella outbreak clustering by Chao Chun Liu, William W. L. Hsiao

“…To quantify the ability of MGE variations to cluster outbreak clones, we devised a reference-free tree-building algorithm inspired by colored de Bruijn graphs, which enabled topological comparisons between MGE and standard typing methods. …”
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Predicting Landslide Deposit Zones: Insights from Advanced Sampling Strategies in the Ilopango Caldera, El Salvador by Laura Paola Calderon-Cucunuba, Abel Alexei Argueta-Platero, Tomás Fernández, Claudio Mercurio, Chiara Martinello, Edoardo Rotigliano, Christian Conoscenti

“…This study aimed to evaluate the predictive capability of identifying where displaced material might be deposited by using different inventories of specific parts of a landslide, including the source area, intermediate area, and deposition area. …”
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