FDTD Complex Terrain Modeling Method Based on Papery Contour Map by Meng Chen, Bing Wei, Xinbo He

“…Finally, the scattered points in the curve matrix are meshed by the Delaunay triangulation algorithm, and a three-dimensional triangular mesh model is established according to the recognition results. …”
Get full text

Standards of specialized diabetes care. Edited by Dedov I.I., Shestakova M.V., Mayorov A.Yu. 10th edition by Ivan I. Dedov, Marina V. Shestakova, Alexander Yu. Mayorov, Natalya G. Mokrysheva, Olga K. Vikulova, Gagik R. Galstyan, Tamara L. Kuraeva, Valentina A. Peterkova, Olga M. Smirnova, Elena G. Starostina, Elena V. Surkova, Olga Y. Sukhareva, Alla Y. Tokmakova, Minara S. Shamkhalova, Ivona Renata Jarek-Martynova, Ekaterina V. Artemova, Diana D. Beshlieva, Olga N. Bondarenko, Natalya N. Volevodz, Irina S. Gomova, Olga R. Grigoryan, Zera N. Dzhemilova, Roza M. Esayan, Liudmila I. Ibragimova, Viktor Y. Kalashnikov, Irina V. Kononenko, Dmitry N. Laptev, Dmitry V. Lipatov, Olga G. Melnikova, Margarina S. Mikhina, Marina S. Michurova, Oleg G. Motovilin, Tatiana V. Nikonova, Roman V. Rozhivanov, Igor A. Sklyanik, Ekaterina A. Shestakova

“…These guidelines are intended for endocrinologists, primary care physicians, pediatricians and other medical professionals involved in the treatment of DM.Compared with previous edition of the Standards of Specialized Diabetes Care edited by Dedov I.I., Shestakova M.V., ­Mayorov A.Yu., 10th edition, Moscow, 2021 (signed for printing on 10.09.2021) a number of changes have been made.On behalf of the Working Group…”
Get full text

Synthesizing Recursive Logic Programs by Inverting General Resolution by Taosheng Qiu, Ryutaro Ichise

“…While semantic search methods that directly explain examples by inductive inference rules may utilize data relations to effectively prune the search space, in general logic programs, the compactness of the search space is often outweighed by the high complexity of inductive inference algorithms. …”
Get full text

Three-dimensional graph reconstruction of filamentous structures from z-stack images by Oscar Sten, Emanuela Del Dottore, Marilena Ronzan, Nicola Pugno, Barbara Mazzolai

“…The resulting output is a graph where each node has a 3D coordinate representing the 3D filament network's morphology and topology. The algorithm's 3D reconstruction capabilities are tested on 3D-printed structures used as ground truth with a filament radius of 0.5 mm, obtaining a Root Mean Square Error (RMSE) lower than the filament radius for most cases. …”
Get full text

CM-YOLO: A Multimodal PCB Defect Detection Method Based on Cross-Modal Feature Fusion by Haowen Lan, Jiaxiang Luo, Hualiang Zhang, Xu Yan

“…By integrating information from RGB images and depth images, the feature perception capability of a defect detection algorithm can be enhanced, making it more robust and reliable in detecting subtle defects on printed circuit boards. …”
Get full text

A Two-Step Method for Impact Source Localization in Operational Water Pipelines Using Distributed Acoustic Sensing by Haonan Wei, Yi Liu, Zejia Hao

“…The second step utilizes the Pruned Exact Linear Time (PELT) algorithm for accurate signal segmentation, followed by an unsupervised learning method combining Dynamic Time Warping (DTW) and clustering to identify the impact segment and precisely pick the arrival time based on shape similarity, overcoming the limitations of traditional pickers under conditions of complex noise. …”
Get full text

SIMULATION AND OPTIMIZATION OF POROUS BONE-LIKE MICROSTRUCTURES WITH SPECIFIC MECHANICAL PROPERTIES by Adrian Wit, Sebastian Wronski, Jacek Tarasiuk

“…Manufacturing of a generated structure is only limited by used technique. The proposed algorithm was developed regardless of the manufacturing technique, however, same examples of the structure were printed using 3D addictive technology. …”
Get full text

A Continuous k-Nearest Neighbor Query Method for Moving Data in Obstructed Spaces by WAN Jing, TANG Bei-bei, HE Yun-bin, Li Song

“…The COpKNN query includes three sub-processes: based on the concepts of visibility graph, R-tree and heap sort, a method for calculating the obstacle distance between two points (greater than or equal to the Euclidean distance) is given; based on the R-tree query method, all possible k nearest neighbor result sets of q within the user-given time period (preliminary results, also called candidate sets) are found; the k nearest neighbor result set is pruned by using Mindist(E,q) and the candidate set update algorithm UpdataC(pn) to obtain a more accurate k nearest neighbor result set. …”
Get full text

Preventing face morphing attacks by using legacy face images by Ilias Batskos, Florens F. deWit, Luuk J. Spreeuwers, Raymond J. Veldhuis

“…Abstract Countries allow citizens to upload a face image or provide printed copies to authorities to issue their passport. …”
Get full text

Reconstruction of the Intrarenal Vascular Tree From μ-CT Scans of Corrosion Cast Specimens by Katarzyna Heryan

“…Visual inspection confirmed that the algorithm effectively addressed discontinuities and preserved anatomical integrity. …”
Get full text

A Machine Learning-Based Guide for Repeated Laboratory Testing in Pediatric Emergency Departments by Adi Shuchami, Teddy Lazebnik, Shai Ashkenazi, Avner Herman Cohen, Yael Reichenberg, Vered Shkalim Zemer

“…The minimal decision tree (MDT) algorithm was selected for its interpretability and capacity to generate optimally pruned classification trees. …”
Get full text

A Flexible Smart Healthcare Platform Conjugated with Artificial Epidermis Assembled by Three-Dimensionally Conductive MOF Network for Gas and Pressure Sensing by Qingqing Zhou, Qihang Ding, Zixun Geng, Chencheng Hu, Long Yang, Zitong Kan, Biao Dong, Miae Won, Hongwei Song, Lin Xu, Jong Seung Kim

“…Ultimately, a wearable alarming system with a mobile application terminal is self-developed by integrating the bimodular senor into flexible printed circuits. This system can assess risk factors related with asthmatic, such as stimulation of external NO2 gas, abnormal expiratory behavior and exertion degrees of fingers, achieving a recognition accuracy of 97.6% as assisted by a machine learning algorithm. …”
Get full text

Dual-Oriented Targeted Nanostructured SERS Label-Free Immunosensor for Detection, Quantification, and Analysis of Breast Cancer Biomarker Concentrations in Blood Serum by Mohammad E. Khosroshahi, Christine Gaoiran, Vithurshan Umashanker, Hayagreev Veeru, Pranav Panday

“…SERS data were processed using the <i>filtfilt</i> filter from <i>scipy.signal</i> for smoothing and then baseline-corrected with the Improved Asymmetric Least Squares (IASLS) algorithm from the <i>pybaselines.Whittaker</i> library. …”
Get full text

AI-driven generative and reinforcement learning for mechanical optimization of 2D patterned hollow structures by Yicheng Shan, Leitao Cao, Yu Wang, Jing Ren, Chen Huang, Wenli Gao, Shengjie Ling

“…We generated a comprehensive dataet comprising 1000 samples across five distinct density classes using a custom grid pattern generation algorithm, ensuring a wide range of structural variations. …”
Get full text

Research on Model Reconstruction Methods for Partial Point Cloud Information Loss by Zhengping CHANG, Guoshuai YUAN, Jiuhua LI, Yang ZHAO, Zhongqi WANG

“…Finally, the scanned point cloud carried on region partition, and the Interactive Closest Point (ICP) algorithm was utilized to match the scanned area with the theoretical model. …”
Get full text

Didgital-art цінних паперів by Oleh Kardash, Viktor Chelombitko

“…Therefore, it would be more appropriate to transfer not the image of the pattern, but the algorithm for constructing this pattern. Analysis of recent research and publications in traditional techniques. …”
Get full text

Book reviews by JNAAT

“…Chopp, Introduction to High Performance Scientific Computing, SIAM, Philadelphia, 2019, ISSN: 9781611975642, ISSN (print): 9781611975635. Eduard Stefan Grigoriciuc: Samuel D. …”
Get full text

Reduced O3 subsequence labelling: a stepping stone towards optimisation sequence prediction by Yi-Ping You, Yi-Chiao Su

“…We formulated the problem and attempted to solve the problem by using genetic algorithms. We believe that with mature deep learning techniques, a machine learning model that predicts the reduced O3 subsequences or even the best O3 subsequence for a given code fragment could be developed and used to prune the search space of the problem of the optimisation phase tuning, thereby shortening the tuning process and also providing more effective tuning results.…”
Get full text

Non-destructive control of tablet forms of cefuroxime by near-infrared spectroscopy and digital colorometry methods by Amelin, Vasiliy G., Emelyanov, Oleg E.

“…The application of chemometric algorithms to determine the concentration of the active ingredient cefuroxime in the drug Zinnat has been considered. …”
Get full text

Hysteresis in Neuron Models with Adapting Feedback Synapses by Sebastian Thomas Lynch, Stephen Lynch

“…This work has the potential to improve learning algorithms, increase understanding of neural memory formation, and inform neuromorphic engineering research.…”
Get full text