Mathematical Modeling of Thermal and Deformation Fields in Non-Metallic Heterogeneous Materials During Control by the Thermal Imaging Method by Vladimir Tonkonogyi, Maryna Holofieieva, Yurii Morozov, Volodymyr Yarovyi, Oksana Bieliavska, Isak Karabegović

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The application of multiple linear regression methods to FTIR spectra of fingernails for predicting gender and age of human subjects by L. Mihaly Cozmuta

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Early-Stage State-of-Health Prediction of Lithium Batteries for Wireless Sensor Networks Using LSTM and a Single Exponential Degradation Model by Lorenzo Ciani, Cristian Garzon-Alfonso, Francesco Grasso, Gabriele Patrizi

“…Various architectures and hyperparameters were explored to optimize the models’ performance. The key finding is that training one of the models with only 50 records (equivalent to 30% of battery usage) enables accurate SOH prediction, achieving a Mean Squared Error (MSE) of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.68</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>4</mn></mrow></msup></mrow></semantics></math></inline-formula> and Root Mean Squared Error (RMSE) of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.30</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula>. …”
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Model of Organization of Distance Learning for Students of Architectural Specialties by E. A. Dyachkova

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Nonparametric Estimation of Dynamic Value-at-Risk: Multifunctional GARCH Model Case by Zouaoui Chikr-Elmezouar, Ali Laksaci, Ibrahim M. Almanjahie, Fatimah Alshahrani

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Ecological Momentary Assessment of emotional dysregulation and outbursts among youth with ADHD: a feasibility study of a biomarker-driven predictive algorithm in the special educat... by Ripudaman (Zeeba) Singh, Janav Panchal, Sami Ali, Beth Krone, Isaac J. Wert, Mark Owens, Mark Stein, Maulik V. Shah

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Laser–Arc Welding Adaptive Model of Multi-Pre-Welding Condition Based on GA-BP Neural Network by Zesheng Wu, Zhaodong Zhang, Gang Song

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Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context by Bekan Kitaw, Chera Asefa, Firew Legese

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A unified model integrating UTAUT-Behavioural intension and Object-Oriented approaches for sustainable adoption of Cloud-Based collaborative platforms in higher education by Kaihong Feng, Divya Haridas

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Development of Simplified Diabetes Nutrition Education Tools for Patients with Type 2 Diabetes Mellitus in Basrah, Iraq by Saman Hashim, Nada Al jassim, Abbas Mansour

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Extended Generalized Skew Laplace Random Field: Spatial Autoregressive and Moving Average Model for Prediction of Missing Data in Skew and Heavy Tailed Data by Mohammad Mehdi Saber, Alireza Nematollahi, Mohsen Mohammadzadeh

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Incorporating stand parameters in nonlinear height-diameter mixed-effects model for uneven-aged Larix gmelinii forests by Muhammad Junaid Ismail, Tika Ram Poudel, Akber Ali, Lingbo Dong

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AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptides by Saptashwa Datta, Jen-Chieh Yu, Yi-Hsiang Lin, Yun-Chen Cheng, Ching-Tai Chen

“…Nine machine learning models were used for cross-validation and independent tests. …”
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Urban traffic flow prediction based on the multisource heterogeneous spatio-temporal data fusion by Yang AN, Jianwei SUN, Qian LI, Yongshun GONG

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In vivo percutaneous microwave ablation with ECO system in swine kidney and liver: comparison of ablation-zone size to manufacturer predictions and assessment of new antenna design by Théo Bonnefoy, Georges Tarris, Kévin Guillen, Olivia Poupardin, Olivier Chevallier, Ludwig Serge Aho Glele, Jean-Michel Correas, Romaric Loffroy

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Development and validation of a prediction model for gestational diabetes mellitus risk among women from 8 to 14 weeks of gestation in Western China by Jiani Zhang, Qi Cao, Chihui Mao, Jinfeng Xu, Yaqian Li, Yi Mu, Guiqiong Huang, Daijuan Chen, Xixi Deng, Tingting Xu, Fan Zhou, Xiaodong Wang

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A Deep Learning Model for NOx Emissions Prediction of a 660 MW Coal-Fired Boiler Considering Multiscale Dynamic Characteristics by Jianrong Huang, Yanlong Ji, Haiquan Yu

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Application of ANN in Prediction of Vibration Caused By Blast Operation, Case Study Shur River Dam by Mohammad reza Motahari, Amin Vafaei

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SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning by Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng

“…The SGCL-LncLoc web server is available at http://csuligroup.com:8000/SGCL-LncLoc. The source code can be obtained from https://github.com/CSUBioGroup/SGCL-LncLoc.…”
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SpatConv Enables the Accurate Prediction of Protein Binding Sites by a Pretrained Protein Language Model and an Interpretable Bio-spatial Convolution by Mingming Guan, Jiyun Han, Shizhuo Zhang, Hongyu Zheng, Juntao Liu

“…Traditional protein binding site prediction models usually extract residue features manually and then employ a graph or point-cloud-based architecture borrowed from other fields. …”
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