Analysis of Flame Evolution Generated from Methyl Laurate Droplet Using Deep Learning by Fikrul Akbar Alamsyah, Chi-Cheng Cheng

“…YOLOv9, a state-of-the-art object detection model, is employed to automatically segment and track key flame features such as flame shape, size, and intensity. …”
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Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…Comparisons with other optimization techniques, such as the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), reveal that the proposed method outperforms them in selecting key features and achieving faster convergence. These characteristics make the proposed method a suitable choice for real-world applications, including recommender systems, large-scale social network analysis, and interaction pattern detection. …”
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Cluster-driven non-uniform characteristic analysis of underwater target acoustic scattering field by Tianyang Xu, Hongjian Jia, Jixing Qin

“…Finally, the implicit angular relationship between echo features is extracted under unsupervised conditions by cluster analysis. …”
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Goalie: Defending Against Correlated Value and Sign Encoding Attacks by Rongfei Zhuang, Ximing Fu, Chuanyi Liu, Peiyi Han, Shaoming Duan

“…According to the analysis, Goalie extracts features from the parameters in the early training epochs of the models and uses these features to detect malicious models. …”
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Chiral and achiral analysis of chiral flavonoids with liquid and supercritical fluid chromatography – A review by Laurine Réset, Clément De Saint Jores, Caroline West

“…One- and two-dimensional methods are reported, and the different detection modes are also examined. Note that this review did not aim at being comprehensive, but rather at displaying the diversity and main features of current methods.…”
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Application of EEG Signal Recognition Method Based on Duffing Equation in Psychological Stress Analysis by Min Chai, Lei Ba

“…Based on the study of the feature extraction algorithm based on the multiple empirical mode decomposition of the Duffing equation, this paper proposes a corresponding improved algorithm, completes the identification and analysis of the psychological pressure dimension space under the audiovisual induction method, and designs two typical psychological types of music and pictures. …”
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Establishing and Assessing of a Leak Collection System Analysis Method by Computational Fluid Dynamics by Dae Kyung Choi, Won Man Park, Woo-Shik Kim, Dong-Jin Euh, Tae-Soon Kwon, Choengryul Choi

“…In this study, we designed a numerical analysis process to evaluate a prototype leak detection system simulator. …”
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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

“…Despite that the biopsy-based histopathological analysis provides easier breast cancer detection, yet the invasive treatment and iterative costs limit its scalability for the masses. …”
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Diagnostic d'erreurs dans le projet FreeText by Sébastien L'haire, Anne Vandeventer-Faltin

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Analysis of prognostic factors for community-acquired pneumonia of elderly patients in medical and nursing institutions by WEN Jie, ZHANG Huanli, YUN Xia, XU Min, ZHANG Anna, ZHOU Qingbo

“…Objective To analyze the clinical features and prognostic factors of community-acquired pneumonia （CAP） of elderly patients in medical and nursing institutions. …”
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Protecting Industrial Control Systems From Shodan Exploitation Through Advanced Traffic Analysis by Sayed Reza Ghazinour Naeini, Alireza Shameli-Sendi, Masoume Jabbarifar

“…This research introduces protocol analysis as a novel feature in network traffic analysis, significantly improving detection accuracy over models that rely solely on traditional network features. …”
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RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…Conventionally, both data-driven and physics-based models for structural damage detection have relied on handcrafted features, which are susceptible to the practitioner’s expertise and experience in feature selection. …”
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Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli by Dmitry Yu Isaev, Samantha Major, Kimberly L. H. Carpenter, Jordan Grapel, Zhuoqing Chang, Matias Di Martino, David Carlson, Geraldine Dawson, Guillermo Sapiro

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An open-source tool for analysis and automatic identification of dendritic spines using machine learning. by Michael S Smirnov, Tavita R Garrett, Ryohei Yasuda

“…Our algorithm is rapid, flexible, has over 90% accuracy in spine detection, and bundled with our user-friendly, open-source, MATLAB-based software package for spine analysis.…”
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Cervical cancer prediction using machine learning models based on routine blood analysis by Jie Su, Hui Lu, Ruihuan Zhang, Na Cui, Chao Chen, Qin Si, Biao Song

“…Using least absolute shrinkage and selection operator (LASSO) and the random forest method (RF) method, 15 key routine blood features were ultimtely selected from an initial set of 23 features for model training. …”
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A Review on Language-Independent Search on Speech and its Applications by Sushil Venkatesh Kulkarni, Sukomal Pal

“…A thorough analysis of language-independent search methods and models for speech detection, a crucial task in retrieving audio file from large archives based on spoken queries was presented in this study. …”
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CSSA-YOLO: Cross-Scale Spatiotemporal Attention Network for Fine-Grained Behavior Recognition in Classroom Environments by Liuchen Zhou, Xiangpeng Liu, Xiqiang Guan, Yuhua Cheng

“…However, challenges such as lighting variations, occlusions, and diverse behaviors complicate sensor-based behavior analysis. To address these issues, we introduce CSSA-YOLO, a novel detection network that incorporates cross-scale feature optimization. …”
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The Role of Machine Learning in Cognitive Impairment in Parkinson Disease: Systematic Review and Meta-Analysis by Yanyun Wu, Yangfan Cheng, Yi Xiao, Huifang Shang, Ruwei Ou

“…Predictors commonly used in ML models included clinical features, neuroimaging features, and other variables. …”
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Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions by Angèle Barbedette, Iris Eshkol-Taravella

“…We suggest a typology of these intents based on existing work and the corpus analysis. We implement a supervised automatic classification model based on annotated data and selected linguistic features, whose results and performance are evaluated and interpreted.…”
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FA-HRNet: A New Fusion Attention Approach for Vegetation Semantic Segmentation and Analysis by Bingnan He, Dongyang Wu, Li Wang, Sheng Xu

“…Traditional machine learning-based methods often struggle to capture deep-level features for the segmentation. This work proposes a novel deep learning network named FA-HRNet that leverages the fusion of attention mechanism and a multi-branch network structure for vegetation detection and segmentation. …”
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