Health Assessment of Rolling Bearings Based on Multivariate State Estimation and Reliability Analysis by Chunjun Chen, Lizhi Liu

“…Current health assessment methods for rolling bearings only extract strongly related feature indicators and input them into the health assessment model without considering the profound impact external conditions have on the fluctuation of feature indicators, which will lead to an inaccurate health assessment. …”
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Decoding Poultry Welfare from Sound—A Machine Learning Framework for Non-Invasive Acoustic Monitoring by Venkatraman Manikandan, Suresh Neethirajan

“…Model performance, validated through stratified cross-validation and multiple statistical metrics (e.g., F1-score, Matthews correlation coefficient), demonstrated high classification accuracy and generalizability. …”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

“…Based on the comparison, this paper grouped the top seven ML models such as Neural Networks, Logistic Regression, Nave Bayes Classifier, Multilayer Perceptron, Support Vector Machine, BF Tree, Bayesian Networks algorithms and measured feature importance, and other, to justify the differences between classification models. …”
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A Risk-Optimized Framework for Data-Driven IPO Underperformance Prediction in Complex Financial Systems by Mazin Alahmadi

“…Accurate predictions of Initial Public Offerings (IPOs) aftermarket performance are essential for making informed investment decisions in the financial sector. …”
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Experimental Research on Passive Residual Heat Removal System of Chinese Advanced PWR by Zhuo Wenbin, Huang Yanping, Xiao Zejun, Peng Chuanxin, Lu Sansan

“…Passive residual heat removal system (PRHRS) for the secondary loop is one of the important features for Chinese advance pressurized water reactor (CAPWR). …”
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Machine learning analysis of survival outcomes in breast cancer patients treated with chemotherapy, hormone therapy, surgery, and radiotherapy by Eyachew Misganew Tegaw, Betelhem Bizuneh Asfaw

“…Performance of the models was assessed using parameters such as Accuracy, Precision, Recall, F1-Score and Area under the Receiver Operating Characteristic Curve (AUC-ROC). …”
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CaLiJD: Camera and LiDAR Joint Contender for 3D Object Detection by Jiahang Lyu, Yongze Qi, Suilian You, Jin Meng, Xin Meng, Sarath Kodagoda, Shifeng Wang

“…Three-dimensional object detection has been a key area of research in recent years because of its rich spatial information and superior performance in addressing occlusion issues. However, the performance of 3D object detection still lags significantly behind that of 2D object detection, owing to challenges such as difficulties in feature extraction and a lack of texture information. …”
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Simultaneous Estimation of Wrist Joint Angle and Torque During Isokinetic Contraction Based on HD-sEMG by Mingjie Yan, Zhe Chen, Jianmin Li, Jinhua Li, Lizhi Pan

“…Evaluation metrics including normalized root mean square error (NRMSE) and Pearson’s correlation coefficient (PCC) were applied to evaluate the estimation performance of the seven models. The GACNN showed significantly better estimation performance than SVM, LSTM, ResNet, STFEN and it also demonstrated superior performance over TBM and MSGAT-LSTM in some estimation cases. …”
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Perfusion Bioreactor Technology for Organoid and Tissue Culture: A Mini Review by Paola Avena, Lucia Zavaglia, Ivan Casaburi, Vincenzo Pezzi

“…The ability to mimic the tumor environment and to maintain patient-derived biopsies for a long time makes perfusion bioreactors an essential model for preclinical testing.…”
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Molten Pool Image Segmentation Based on Adaptive Multi-Scale Attention Mechanism by Yuefeng Chen, Weihua Liu, Qing Yang, Huabin Chen, Qi Jiang

“…The AMSNet algorithm outperforms PIDNet by 2.51% and SegNet by 4.66% in terms of molten pool segmentation accuracy, providing solid evidence of its effectiveness in tackling the task of molten pool image segmentation. The model performs well in computational efficiency, data processing and complexity balance, making it suitable for industrial field deployment.…”
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Automatic brake Driver Assistance System based on deep learning and fuzzy logic. by A R García-Escalante, R Q Fuentes-Aguilar, A Palma-Zubia, E Morales-Vargas

“…The traffic light detection model obtained a mAP of 0.96 for distances less than 13 m and 0.89 for 15 m, with an average RMSE of 0.9 m and 0.05 m in the braking force applied, respectively. …”
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Picking the Wild Poppies by Dominika Moravčíková

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Exploring explanation deficits in subclinical mastitis detection with explainable boosting machines by Changhong Jin, John Upton, Brian Mac Namee

“…The study finds that while models using the readily available features can perform well in prediction, the explanations derived from them are often less interpretable and harder to align with established veterinary knowledge compared to explanations from models using milk composition data. …”
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A Weakly Supervised Multimodal Deep Learning Approach for Large-Scale Tree Classification: A Case Study in Cyprus by Arslan Amin, Andreas Kamilaris, Savvas Karatsiolis

“…A crucial component of our methodology is a ResNet50 model which takes as input high spatial resolution satellite imagery in the visible band and near-infrared band, as well as topographical features. …”
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Structural and mutational analyses of the Leptospira interrogans virulence-related heme oxygenase provide insights into its catalytic mechanism. by Anabel Soldano, Sebastián Klinke, Lisandro H Otero, Mario Rivera, Daniela L Catalano-Dupuy, Eduardo A Ceccarelli

“…Finally, by analyzing the crystal structures of ferredoxin-NADP+ reductase and heme oxygenase, we propose a model for the productive association of these proteins.…”
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Financial Fraud Detection Approach Based on Firefly Optimization Algorithm and Support Vector Machine by Ajeet Singh, Anurag Jain, Seblewongel Esseynew Biable

“…In the first level, the firefly algorithm (FFA) and the CfsSubsetEval feature section method have been applied to optimize the subset of features, while in the second level, the support vector machine classifier has been used to build the training model for the detection of credit card fraud cases. …”
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On the Question of the Applicability of Artificial Intelligence Systems to Forensic Examination of Documents and Their Requisites by A. F. Kupin, A. S. Kovalenko

“…Based on the analysis of the principles of the construction and functioning of the neural network, which forms the basis of artificial intelligence, as an abstract model created to solve a specific problem, the capabilities of neural networks as a whole are revealed, and thus the features of working with them are demonstrated. …”
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Distributed Absorber for Noise and Vibration Control by Michel Azoulay, Alexander Veprik, Vladimir Babitsky, Neil Halliwell

“…The simulation and optimization of the main frequency characteristics has been performed using a full scale 3-dimensional Finite Element model. …”
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MARKET POWER, BANK-SPECIFIC FACTORS, AND MACROECONOMIC EFFECTS ON BANKING PROFITABILITY IN INDONESIA: BEFORE AND AFTER THE COVID-19 PANDEMIC by Hayet Hayet, Syafiq Mahmadah Hanafi, Mukhammad Yazid Afandi

“…The data was collected quarterly from 6 conventional banks and 6 Islamic banks during the period from the second quarter of 2014 to 2023, and analyzed using a panel data regression model approach. The dependent variable is bank profitability, measured using the return on asset proxy (ROA) and net interest margin (NIM) / net operating margin (NOM); while the independent variables are concentration ratio (CR), third-party funding (TPF), capital adequacy ratio (CAR), non-performing loan (NPL), operating expenses to operating income (BOPO ratio), gross domestic product (GDP), inflation, exchange rate, and dummy variables. …”
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Review of the Color Gradient Lattice Boltzmann Method for Simulating Multi-Phase Flow in Porous Media: Viscosity, Gradient Calculation, and Fluid Acceleration by Fizza Zahid, Jeffrey A. Cunningham

“…The lattice Boltzmann method (LBM) is widely applied to model the pore-scale two-phase flow of immiscible fluids through porous media, and one common variant of the LBM is the color gradient method (CGM). …”
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