Research on rock fracture evolution prediction model based on Adam-ConvLSTM and transfer learning by Runze Liu, Ziwei Wang, Yanbo Zhang, Xulong Yao, Shaohong Yan, Zhiyuan Chen, Shuai Wang, Hua Li, Qi Wang

“…Initially, PFC2D numerical simulations were conducted on rocks with various pore defects under uniaxial compression, resulting in five sets of fracture propagation images. These images were processed using sliding window techniques to construct a foundational dataset. …”
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Integrated photonic programmable random matrix generator with minimal active components by Kevin Zelaya, Mostafa Honari-Latifpour, Mohammad-Ali Miri

“…Abstract Random matrices are fundamental in photonic computing because of their ability to model and enhance complex light interactions and signal processing capabilities. In manipulating classical light, random operations are utilized for random projections and dimensionality reduction, which are important for analog signal processing, computing, and imaging. …”
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Lightweight YOLOv8s-Based Strawberry Plug Seedling Grading Detection and Localization via Channel Pruning by CHEN Junlin, ZHAO Peng, CAO Xianlin, NING Jifeng, YANG Shuqin

“…To verify the effectiveness of the proposed two-stage seedling-hole matching algorithm, tests were conducted using a variety of complex images from the test set. …”
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High resolution building facade dataset for facade elements parsingMendeley Data by Shuchang Xu, Fan Wu, Junjie Cheng, Wenzhen Yang

“…Additionally, it offers twin versions of the facade images with perspective correction. To ensure data diversity, the dataset includes images captured under various lighting conditions, including challenging environments such as direct sunlight and backlighting. …”
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Estimation and Evaluation of the FY-3D/MERSI-II Fractional Snow Cover in China by Jinyu Huang, Lingmei Jiang, Fangbo Pan, Bo Zhong, Shengli Wu, Huizhen Cui

“…The accuracy of these estimations was corroborated using 30-m FSC maps derived from Landsat-8&#x002F;Operational Land Imager (OLI) images. This validation process resulted in RMSE and <italic>R</italic>² values of 0.13 and 0.88, respectively, across 253 OLI-based FSC scenes. …”
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RGB-based machine vision for enhanced pig disease symptoms monitoring and health management: a review by Md Nasim Reza, Kyu-Ho Lee, Eliezel Habineza, Samsuzzaman, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

“…This review explores innovative applications for monitoring disease symptoms by assessing features that directly or indirectly indicate disease risk, as well as for tracking body weight and overall health. Machine vision and image processing algorithms enable for the real-time detection of subtle changes in pig appearance and behavior that may signify potential health issues. …”
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Brown adipose tissue machine learning nnU-Net V2 network using TriDFusion (3DF) by Daniel Lafontaine, Stephanie Chahwan, Gustavo Barraza, Burcin Agridag Ucpinar, Gunjan Kayal, Nicolás Gómez-Banoy, Paul Cohen, John L. Humm, Heiko Schöder

“…The introduction of machine learning algorithms, such as the PET/CT algorithm implemented in the TriDFusion (3DF) Image Viewer, represents a significant advancement in BAT detection. …”
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Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…Proximity to critical geological structures, such as the Qom–Zefreh Fault, further complicates the scenario.Data sources: The study employed 145 ascending Sentinel-1 radar satellite images processed via the SBAS (Small Baseline Subset) technique to derive displacement data between 2019 and 2023. …”
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The use of frame molecules to develop professional competences of mining engineers to-be by Yu. A. Dubrovskaya, L. V. Pikhkonen

“…The visual model of frame technologies proposed by the authors – the «frame molecule» – can be considered as a universal means for presenting information in the educational process and presenting educational material. The connection of elementary frame molecules into chains allows one to visualize and enhance the presentation of the material, and the types of frame molecules – frame image, frame role, frame scenario – specify the fulfillment of a professional task for the formation of professional competences.Conclusion. …”
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An innovative UAV-based approach for estimating crop stand counts amidst weed infestation by Gurjinder S. Baath, Arun Bawa, Bala Ram Sapkota, K. Colton Flynn, Sayantan Sarkar, Douglas R. Smith

“…This research developed an image processing pipeline to estimate crop stand counts in both high and low weed pressure conditions. …”
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METHODOLOGY OF COGNITIVE-DISCURSIVE MODELLING OF LITERARY TRANSLATION (case study of Ukrainian retranslations of W. Shakespeare’s tragedies of the 19th–21st centuries) by Yana V. Boiko

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Research on machine vision online monitoring system for egg production and quality in cage environment by Zhenlong Wu, Hengyuan Zhang, Cheng Fang

“…To diverse operational needs, two distinct post-processing algorithms were developed: one for counting eggs and detecting abnormalities during robotic patrols, and another for assessing egg quality through fixed video streams, which measured crucial parameters such as egg dimensions and shape indexes. …”
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Artificial intelligence for difficult airway assessment: a protocol for a systematic review with meta-analysis by Dan Liu, Tingting Li, Li Du, Jianqiao Zheng, Yujie Huang, Weiyi Zhang

“…Nevertheless, the diagnostic performance of AI algorithms for difficult airway assessment remains unclear due to the small sample sizes, insufficient image acquisition standards and poor predictive accuracies. …”
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Detección y Seguimiento de Personas Basado en Estereovisión y Filtro de Kalman by Jorge García, Alfredo Gardel, Ignacio Bravo, José Luis Lázaro, Miguel Martínez, David Rodríguez

“…The detection step is based on correlation through a pre-processed image with various circular patterns in order to search people's heads, filtering these detections by stereovision depending on the height. …”
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An enhanced alpha evolution moss growth optimizer for prognostic prediction in spontaneous intracerebral hemorrhage by Lingxian Hou, Yongsheng Wang, Xiuqi Lin, Chengye Li, Huangrong Guo, Congcong Jin, Yi Chen, Huiling Chen, Jing Ji, Wenzong Zhu

“…Additionally, it uses an adaptive β parameter to dynamically balance the search process. AEMGO is designed to overcome common issues in traditional meta-heuristic algorithms, such as premature convergence and the exploration–exploitation imbalance, thus enabling the effective identification of key prognostic features. …”
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Capabilities of breast sonotomography (automated breast volume sonography) in the evaluation of the glandular structure of the breast in the context of its cancer risk by V. E. Gazhonova, M. P. Efremova, E. M. Bachurina, E. M. Khlyustina, S. B. Potkin

“…The international breast imaging and reporting data system was used to standardize detected breast masses.Results. …”
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Assessment and application of melting-layer simulations for spaceborne radars within the RTTOV-SCATT v13.1 model by R. Mangla, R. Mangla, M. Borderies, P. Chambon, A. Geer, J. Hocking

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Federated knowledge distillation for enhanced insulator defect detection in resource‐constrained environments by Xiaohu Huang, Minghui Jia, Xianghua Tai, Wei Wang, Qi Hu, Dongping Liu, Peiheng Guo, Shengxiang Tian, Dequan Yan, Haishan Han

“…It has become a mainstream research direction to realise insulator defect detection based on the combination of line images captured by UAVs and deep learning techniques. …”
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Analysis and prediction of land use changes: the case study of coastal areas of Gilan province by Sahar Abdollahi, Hashem Dadashpoor

“…Material and methods: Landsat 5 and 8 (TM) and (OLI-TIRS) satellite images were used for the years 1996, 2006 and 2016. …”
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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation by Qiang Zhang, Zhe Wu, Boshuo An, Ruitian Sun, Yanping Cui

“…In terms of technical implementation, combined with HyperMesh 2023 refinement mesh generation, ABAQUS 2023 simulates the stress distribution of gear under thermal fluid solid coupling conditions, the Gaussian process regression (GPR) stress prediction model, and a fault diagnosis algorithm based on wavelet transform and the depth residual shrinkage network (DRSN), and analyzes the vibration signal and stress distribution of gear under normal, broken tooth, wear and pitting fault types. …”
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