Development of a machine learning-based surrogate model for friction prediction in textured journal bearings by Yujun Wang, Georg Jacobs, Shuo Zhang, Benjamin Klinghart, Florian König

“…Given the high computational cost of CFD simulations, the prediction accuracy of the ANN-based surrogate model is further enhanced without the need for additional data sets. …”
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A VIDEO GAME AS A MECHANISM FOR BROADCASTING THE NATIONAL CULTURAL HERITAGE by Anzhela V. Normanskaya

“…In this article, it is proposed to draw attention to the fact that computer games in a short period of time have ceased to be exclusively a form of entertainment for young people, having transformed into an effective mechanism for transmitting information and influencing the minds of a multi-million audience of gamers. …”
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Technical note: Impact of tissue section thickness on accuracy of cell classification with a deep learning network by Ida Skovgaard Christiansen, Rasmus Hartvig, Thomas Hartvig Lindkær Jensen

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Global Perspectives on Laptop Features: A Sentiment Analysis of User Preferences in Developed and Developing Countries by Mehrdad Maghsoudi, Mohammadreza Bakhtiari, Hamidreza Bakhtiari

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A Novel Approach to Road Safety: Detecting Illegal Overtaking Using Smartphone Cameras and Deep Learning for Vehicle Auditing by Karem Daiane Marcomini, Vitória de Carvalho Brito, Gregori da Cruz Balestra, Vitor Tosetto, Luiz Carlos Duarte, Antonio Roberto Donadon

“…Consequently, our innovative and practical solution, utilizing simple cameras and advanced computer vision models, can significantly enhance highway safety and support vehicle auditing systems.…”
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Performance Evaluation of Four Deep Learning-Based CAD Systems and Manual Reading for Pulmonary Nodules Detection, Volume Measurement, and Lung-RADS Classification Under Varying Ra... by Sifan Chen, Lingqi Gao, Maolu Tan, Ke Zhang, Fajin Lv

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Comparative assessment of the depth of invasion of early-stage oral cavity carcinomas based on intraoral ultrasound and computerized tomography findings by Marković-Vasiljković Biljana, Antić Svetlana, Jelovac Drago

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Efficient Malaria Parasite Detection From Diverse Images of Thick Blood Smears for Cross-Regional Model Accuracy by Yuming Zhong, Ying Dan, Yin Cai, Jiamin Lin, Xiaoyao Huang, Omnia Mahmoud, Eric S. Hald, Akshay Kumar, Qiang Fang, Seedahmed S. Mahmoud

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Enhanced and predictive modelling of direct shoot regeneration of Evolvulus alsinoides (L.) using ANN machine learning model and genetic stability studies by Collince Omondi Awere, Kasinathan Rakkammal, Andaç Batur Çolak, Mustafa Bayrak, Ogolla Fredrick, Valentine Chikaodili Anadebe, Manikandan Ramesh

“…However, achieving an optimized protocol is typically difficult due to the high cost and time consumption, as well as the complexity of this process. Hence, the application of computational techniques (machine learning (ML) algorithms) is essential for predicting de novo direct regeneration. …”
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Resting Posture Recognition Method for Suckling Piglets Based on Piglet Posture Recognition (PPR)–You Only Look Once by Jinxin Chen, Luo Liu, Peng Li, Wen Yao, Mingxia Shen, Longshen Liu

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Methodological approach to development of dosimetric models of the human skeleton for beta-emitting radionuclides by M. O. Degteva, E. A. Shishkina, E. I. Tolstykh, V. I. Zalyapin, P. A. Sharagin, M. A. Smith, B. A. Napier

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p-im2col: Simple Yet Efficient Convolution Algorithm With Flexibly Controlled Memory Overhead by Anton V. Trusov, Elena E. Limonova, Dmitry P. Nikolaev, Vladimir V. Arlazarov

“…One of the standard approaches to fast convolution computation is to use GeMM-based convolution algorithms relying on efficient general matrix multiplication (GeMM) from optimized BLAS libraries. …”
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Robust lung segmentation in Chest X-ray images using modified U-Net with deeper network and residual blocks by Wiley Tam, Paul Babyn, Javad Alirezaie

“…The limited availability of radiologists to interpret Chest X-ray (CXR) images for diagnosing common lung conditions poses a significant challenge, often resulting in delayed diagnosis and treatment. In response, Computer-Aided Diagnostic (CAD) tools can be used to potentially streamline and expedite the diagnostic process. …”
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Fast estimation of patient‐specific organ doses from abdomen and head CT examinations without segmenting internal organs using machine learning models by Wencheng Shao, Liangyong Qu, Xin Lin, Ying Huang, Weihai Zhuo, Haikuan Liu

“…Abstract Background Computed Tomography (CT) imaging is essential for disease detection but carries a risk of cancer due to X‐ray exposure. …”
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SympCoughNet: symptom assisted audio-based COVID-19 detection by Yuhao Lin, Xiu Weng, Bolun Zheng, Weiwei Zhang, Zhanjun Bu, Yu Zhou

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Automated 3D segmentation of the hyoid bone in CBCT using nnU-Net v2: a retrospective study on model performance and potential clinical utility by Ismail Gümüssoy, Emre Haylaz, Suayip Burak Duman, Fahrettin Kalabalik, Seyda Say, Ozer Celik, Ibrahim Sevki Bayrakdar

“…The nnU-Net v2 architecture was utilized to process the training and test datasets, generating the algorithm weight factors. …”
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Multi-CNN Deep Feature Fusion and Stacking Ensemble Classifier for Breast Ultrasound Lesion Classification by Kemal PANÇ, Sümeyye SEKMEN

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Identifying EEG biomarkers of sense of embodiment in virtual reality: insights from spatio-spectral features by Daniela Esteves, Daniela Esteves, Madalena Valente, Shay Englander Bendor, Alexandre Andrade, Athanasios Vourvopoulos

“…Virtual Reality (VR) provides a powerful platform to manipulate SoE, making it a crucial factor in immersive human-computer interaction. This becomes particularly relevant in Electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs), especially motor imagery (MI)-BCIs, which harness brain activity to enable users to control virtual avatars in a self-paced manner. …”
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Dataset on Programming Competencies Development Using Scratch and a Recommender System in a Non-WEIRD Primary School Context by Jesennia Cárdenas-Cobo, Cristian Vidal-Silva, Nicolás Máquez

“…A structured educational process was implemented, including an initial diagnostic test to assess logical reasoning, guided activities in Scratch to build foundational skills, a phase of personalized practice with CARAMBA, and a final computational thinking evaluation using a validated assessment instrument. …”
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Impact of Generation Rate of Speech Imagery on Neural Activity and BCI Decoding Performance: A fNIRS Study by Zengzhi Guo, Lisheng Xu, Wenjun Tan, Fei Chen

“…Brain-computer interface (BCI) enables stroke patients to actively modulate neural activity, fostering neuroplasticity and thereby accelerating the recovery process. …”
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