The Effect of SMOTE and Optuna Hyperparameter Optimization on TabNet Performance for Heart Disease Classification by Danang Wijayanto, Robert Marco, Acihmah Sidauruk, Mulia Sulistiyono

“…Heart disease is a medical condition affecting the cardiovascular system, disrupting blood circulation and reducing cardiac function efficiency, which can lead to severe health complications. …”
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#grime4Corbyn and #grime4Grenfell: The Performance of Grime artists’ Political Involvement by Juliette ISSARTEL

“…The new genre combined sonic and lyrical elements that all contributed to the artists’ expression of identity and marginality and conveyed a feeling of being left out of the British political life, and even discriminated against by British political elites. Between the start of the century and the late 2010s, Grime’s political dimension could be found in the musical elements of the genre and in the way it was developed and performed. …”
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MDFT-GAN: A Multi-Domain Feature Transformer GAN for Bearing Fault Diagnosis Under Limited and Imbalanced Data Conditions by Chenxi Guo, Vyacheslav V. Potekhin, Peng Li, Elena A. Kovalchuk, Jing Lian

“…To improve classification performance, an Enhanced Hybrid Visual Transformer (EH-ViT) is constructed by coupling a lightweight convolutional stem with a ViT encoder, enabling robust and discriminative fault identification. …”
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Cross-Condition Fault Diagnosis of Planetary Gearboxes Driven by Data-Model Fusion Based on Improved Domain-Adversarial Transfer Learning by Long Chen, Guojin Feng, Dong Zhen, Hongxiang Jing, Xiaoxia Liang, Fengshou Gu

“…Finally, the method is applied to the operational condition transfer of the 2K-H planetary gearbox, validating its diagnostic performance under different conditions. …”
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TFF-Net: A Feature Fusion Graph Neural Network-Based Vehicle Type Recognition Approach for Low-Light Conditions by Huizhi Xu, Wenting Tan, Yamei Li, Yue Tian

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Changing performance of surgical risk scores according to the endpoint of postoperative mortality in infective endocarditis patients by Giuseppe Gatti, Antonio Fiore, Maria Ismail, Igor Vendramin, Alessandro Minati, Gianfranco Sinagra, Andrea Perrotti, Enzo Mazzaro

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ORGANIZATION MANAGEABILITY ENHANCED THROUGH TOPOLOGICAL MODULAR FORMS by NANTOI, Daria, NANTOI, Vadim

“…In order to simplify incommensurable complexity, authors offer the hypothesis that differentiating the approach to manageability in the two distinct situations "steady and familiar condition" and "unsteady and with considerable uncertainty condition" is effective. …”
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Feature Clustering Analysis Using Reference Model towards Rolling Bearing Performance Degradation Assessment by Xiaoxi Ding, Liming Wang, Wenbin Huang, Qingbo He, Yimin Shao

“…The experimental results show the potential in machine health performance degradation assessment.…”
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Application of Self-Organizing Maps to Explore the Interactions of Microorganisms with Soil Properties in Fruit Crops Under Different Management and Pedo-Climatic Conditions by Francesca Antonucci, Simona Violino, Loredana Canfora, Małgorzata Tartanus, Ewa M. Furmanczyk, Sara Turci, Maria G. Tommasini, Nika Cvelbar Weber, Jaka Razinger, Morgane Ourry, Samuel Bickel, Thomas A. J. Passey, Anne Bohr, Heinrich Maisel, Massimo Pugliese, Francesco Vitali, Stefano Mocali, Federico Pallottino, Simone Figorilli, Anne D. Jungblut, Hester J. van Schalkwyk, Corrado Costa, Eligio Malusà

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Ecological niche modeling of Prosopis africana (Guill., Perrot., and Rich.) Taub in Togo, West Africa under current and future climate conditions by Rachida Gbadamassi, Mahunan Eric José Vodounnon, Hèou Maléki Badjana, Guede Noël Zirihi, Kpérkouma Wala, Komlan Batawila, Koffi Akpagana

“…Principal Component Analysis was used to discriminate populations of P. africana based on 19 bioclimatic variables and soil data. …”
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YOLOv8-eRFD-AP: A Novel Domain Generalization Model for UAV-Based Insulator Inspection Under Adverse Weather Conditions by Badr-Eddine Benelmostafa, Rita Aitelhaj, Hicham Medromi

“…The model is trained under clear-weather conditions and evaluated on the IDID_Weather dataset, which includes rain, fog, and snow, to assess its performance under real-world challenges. …”
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The Influence of Female Teachers’ Reproductive Health Experiences on their Job Performance in Selected Secondary Schools in Kabale Municipality by Hellen, Tuhiriirwe

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Surface-Enhanced Raman Spectroscopy (SERS) Method for Rapid Detection of Neomycin and Chloramphenicol Residues in Chicken Meat by Yan Wu, Junshi Huang, Ni Tong, Qi Chen, Fang Peng, Muhua Liu, Jinhui Zhao, Shuanggen Huang

“…In this paper, principal component analysis (PCA)–linear discriminant analysis (LDA) was chosen to classify neomycin (NEO) and chloramphenicol (CAP) residues in chicken meat. …”
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Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques by Rabiu Aminu, Samantha M. Cook, David Ljungberg, Oliver Hensel, Abozar Nasirahmadi

“…The first step to achieve this is the identification of insects on plants and discrimination between pests and beneficial non-targets. …”
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Efficient Multipath Mitigation in GNSS Using Dynamic Selection and Weighting of Early-Late Correlators by Ayoub Bengherabi, Mustapha Flissi, Khaled Rouabah, Salim Attia, Diana W. Dawoud, Yassine Himeur, Shadi Atalla, Wathiq Mansoor

“…The proposed approach operates in two principal phases: first, it performs real-time estimation of the relative multipath delay; subsequently, it reconfigures the DLL discriminator through an empirically optimized lookup table, ensuring robust and adaptive delay tracking across dynamic signal conditions. …”
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Combining Sensor Fusion and a Machine Learning Framework for Accurate Tool Wear Prediction During Machining by Swathi Kotha Amarnath, Vamsi Inturi, Sabareesh Geetha Rajasekharan, Amrita Priyadarshini

“…Effective cutting tool condition monitoring (TCM) is critical for achieving precision, cost efficiency, and minimizing unplanned downtime. …”
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Advancements in Hyperspectral Imaging and Computer-Aided Diagnostic Methods for the Enhanced Detection and Diagnosis of Head and Neck Cancer by I-Chen Wu, Yen-Chun Chen, Riya Karmakar, Arvind Mukundan, Gahiga Gabriel, Chih-Chiang Wang, Hsiang-Chen Wang

“…<b>Methods:</b> A systematic review of seven rigorously selected studies was performed. We focused on CAD algorithms, such as convolutional neural networks (CNNs), support vector machines (SVMs), and linear discriminant analysis (LDA). …”
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Polarization scattering-based detection of lubricating materials by Xin Liu, Junxin Jian, Xiaolu Huang, Huilong Li, Yuan Tian, Weizhi Ma, Xiaolong Zhao, Zunnian Liu, Jiayi Sun, Xiushuo Zhang, Yong Wang, Xiaomei Zhu

“…We constructed a polarization detection system and employed data analysis methods, such as linear discriminant analysis, to study various samples. By using this system, we extracted specific parameters sensitive to different characteristic variables, enabling us to more accurately characterize the lubrication performance of materials and providing valuable insights for material optimization. …”
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Bearing Fault Diagnosis Method based on RLMD and Kmeans++ by Shaoting Yan, Yuguo Zhou, Yanbo Ren, Shiliang Liu, Shidang Yan

“…The Fisher features of bearing failure feature are extracted by linear discriminant analysis （LDA）. The fault feature is clustered by the Kmeans++ clustering method and the cluster center of each bearing working condition is got. …”
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Agrophysiological Performance of Mungbean Accessions (Vigna radiata (L.) R. Wilczek) and Nitrogen Balance under Mungbean in Burkina Faso by Rasmata Nana, Maïga Oumar, Nerbéwendé Sawadogo, Mohamed Louré

“…The objective of this study was to evaluate the physiological and agronomic performance of fifteen mungbean accessions from a collection of the World Vegetable Center in Mali under rainfed conditions in Burkina Faso. …”
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