A New Approach for Quantification of Finger Angles with Applications in Rehabilitation and Medical Assessment by Marius Turnea, Andrei Gheorghita, Irina Duduca, Mariana Rotariu

“…The study opens new perspectives for the development of advanced data processing algorithms, including the integration of deep learning neural networks for modelling and optimizing joint movements…”
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Enhancing Real-Time Visual SLAM with Distant Landmarks in Large-Scale Environments by Hexuan Dou, Xinyang Zhao, Bo Liu, Yinghao Jia, Guoqing Wang, Changhong Wang

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Analysis of Mechanisms of Mandible Fractures by Lateral Impact: A Biomechanical Approach Using Finite Element Models by Takahiro Tomioka, Daisuke Ito, Takato Murai, Arisa Takeda, Mami Nakamura, Shinya Koshinuma, Kazuki Takaoka, Masahito Hitosugi

“…Background/Aim: The purpose of this study was to reproduce a lateral fall using a computer simulation model and to clarify the circumstances of mandible fracture caused by a lateral impact. …”
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Scalable bearing fault diagnosis using metaheuristic feature selection and machine learning for diverse operating conditions by B. R. Nayana, R. Subha, Rekha Radhakrishnan, P. Geethanjali

“…The compact feature set combined with the simplicity of the ML model delivers a computationally simple, yet effective feature extraction and classification model scalable for real-time bearing fault diagnosis under diverse operating conditions. …”
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Mobile detection of cataracts with an optimised lightweight deep Edge Intelligent technique by Dipta Neogi, Mahirul Alam Chowdhury, Mst. Moriom Akter, Md. Ishan Arefin Hossain

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Experimental and simulation study on micro damage of HTPB propellant under multi angle tensile shear loading by Wang Jiaxiang, Qiang Hongfu, Pei Shudi, Li Shiqi

“…The variation of propellant internal damage with loading process and the influence of different representative volume element (RVE) sizes on porosity were analyzed. …”
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Identifying the critical micropores characteristics for the degradation of mechanical properties in automotive wheels by Yisheng Miao, Zhongyao Li, Xuelong Wu, Shuwei Feng, Shihao Wang, Decai Kong, Qinghuai Hou, Xiaoying Ma, Haibo Qiao, Xiang Li, Wenbo Wang, Yuling Lang, Junsheng Wang

“…In this study, X-ray computed tomography (XCT), finite element analysis (FEA), and digital image correlation (DIC) were employed to investigate the effects of micropore size, morphology and distribution on the mechanical properties at different wheel locations. …”
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An improved numerical model for landslide-induced waves and its application to the Huangtian landslide in the XW reservoir, China by Xia Yue, Fuchu Dai, Zunhong Ke, Jie Zhu, Wei Cheng

“…It can rapidly and effectively simulate the entire process of landslide-induced wave generation. Moreover, the model improves computational efficiency through the use of fixed computational cells, particularly in mountainous regions. …”
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Smartphone-Based Deep Learning System for Detecting Ractopamine-Fed Pork Using Visual Classification Techniques by Hong-Dar Lin, Mao-Quan He, Chou-Hsien Lin

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SEGMENTATION OF ELECTRONIC PLANOGRAMS BY MEANS OF ARTIFICIAL INTELLIGENCE by V.V. Mikhailishin

“…Background. Computer plantography is one of the methods of diagnosing the condition of the feet. …”

Simulation of X-ray fluorescence and K-edge absorption spectra using Geant4 code by Anna S. Kotlyarevskaya, Alexander O. Pavlyuk

“…The authors have developed the computational model of hybrid device for determining concentration of actinides in radioactive waste or process solutions using X-ray fluorescence analysis and X-ray densitometry. …”
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Leveraging dual‐blockchain collaboration for logistics supply chain supervision by Licheng Lin, Senshan Pan, Pujie Jing, Xiangmei Song

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Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification by Qingyu Wang, Qingyu Wang, Duzhen Zhang, Xinyuan Cai, Tielin Zhang, Bo Xu

“…Energy-efficient spikformer has been proposed by integrating the biologically plausible spiking neural network (SNN) and artificial transformer, whereby the spiking self-attention (SSA) is used to achieve both higher accuracy and lower computational cost. However, it seems that self-attention is not always necessary, especially in sparse spike-form calculation manners. …”
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Towards accurate and efficient diagnoses in nephropathology: An AI-based approach for assessing kidney transplant rejection by Alexey Fayzullin, Elena Ivanova, Victor Grinin, Dmitry Ermilov, Svetlana Solovyeva, Maxim Balyasin, Alesia Bakulina, Pavel Nikitin, Yana Valieva, Alina Kalinichenko, Alexander Arutyunyan, Aleksey Lychagin, Peter Timashev

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NNHMC: An Efficient Stokes Inversion Method Using a Neural Network (NN) Model Combined with the Hamiltonian Monte Carlo (HMC) Algorithm by Chong Xu, JinLiang Wang, Hao Li, ZiYao Hu, XianYong Bai, JiaBen Lin, Hui Liu, ZhenYu Jin, KaiFan Ji

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Determination of spatial position of tibial graft using X-ray images after anterior cruciate ligament reconstruction by Đuričin Aleksandar, Tabaković Slobodan, Zeljković Milan, Milojević Zoran, Jokšić-Mazinjanin Radojka, Milankov Vukadin

“…The obtained results were compared with the results of measuring the angle of the tunnel in the tibia on knee images by computed tomography (CT) in all patients. Results. …”
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Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review by Filip Orzan, Ştefania D. Iancu, Laura Dioşan, Zoltán Bálint

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Leveraging deep learning for plant disease and pest detection: a comprehensive review and future directions by Muhammad Shoaib, Abolghasem Sadeghi-Niaraki, Farman Ali, Irfan Hussain, Shah Khalid

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Surgical tactics of mediastinal bronchogenic cysts. A rare complication – cystobronchial fistula by S. A. Plaksin, A. A. Gorodilov

“…The diagnosis was confirmed by computed tomography data, in one case by a transbronchial puncture. …”
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Development of Robust CNN Architecture for Grading and Classification of Renal Cell Carcinoma Histology Images by Amit Kumar Chanchal, Shyam Lal, Shilpa Suresh

“…The diagnosis of kidney cancer requires manual examination and analysis of histopathological images of the affected tissue. This process is time-consuming, prone to human error, and highly depends on the expertise of a pathologist. …”
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