Full Vector Inversion of Magnetic Microscopy Images Using Euler Deconvolution as Prior Information by Gelson F. Souza‐Junior, Leonardo Uieda, Ricardo I. F. Trindade, Janine Carmo, Roger Fu

“…We applied the method to real data of a speleothem sample, where it accurately retrieved the expected directions induced in the sample. The semi‐automated nature of our algorithm, combined with its low processing cost and ability to determine the magnetic moments of numerous particles, represents a significant advancement in facilitating paleomagnetic applications of magnetic microscopy.…”
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Morphological characterization of Mycobacterium tuberculosis in a MODS culture for an automatic diagnostics through pattern recognition. by Alicia Alva, Fredy Aquino, Robert H Gilman, Carlos Olivares, David Requena, Andrés H Gutiérrez, Luz Caviedes, Jorge Coronel, Sandra Larson, Patricia Sheen, David A J Moore, Mirko Zimic

“…The Microscopic Observation Drug Susceptibility (MODS) assay uses visual recognition of cording patterns from Mycobacterium tuberculosis (MTB) to diagnose tuberculosis infection and drug susceptibility directly from a sputum sample in 7-10 days with a low cost. …”
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Research of electronic compensation methods of reserence signal in the surveillance channel of semi-active coherent bistatic DVB-T2 radar by P. I. Karpovich, S. A. Korenevsky, V. V. Muraviov

“…This paper provides an overview of different electronic compensation methods of a reference signal. An algorithm for electronic compensation of the DVB-T2 direct signal in a semi-active coherent radar has been proposed. …”
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TrueSkill Through Time: Reliable Initial Skill Estimates and Historical Comparability with Julia, Python, and R by Gustavo Landfried, Esteban Mocskos

“…Analytical approximation methods and message-passing algorithms allow inference to be solved efficiently using any low-end computer, even in causal networks with millions of nodes and irregular structures. …”
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Research Status and Development Trends of Deep Reinforcement Learning in the Intelligent Transformation of Agricultural Machinery by Jiamuyang Zhao, Shuxiang Fan, Baohua Zhang, Aichen Wang, Liyuan Zhang, Qingzhen Zhu

“…From the perspective of algorithm–hardware synergy, the article provides an in-depth analysis of DRL’s specific applications in agricultural ground platform navigation, path planning for intelligent agricultural end-effectors, and autonomous operations of low-altitude unmanned aerial vehicles. …”
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NUTRI-ONCOCARE: New integral nutrition care model to prevent and treat malnutrition in cancer patients by Mariola Sirvent-Ochando, Ana Murcia-Lopez, Cristina Sangrador-Pelluz, Sara Espla, Margarita Garrido-Siles, Jimena Abiles

“…Their discussion and analysis allowed us to design a performance algorithm.</p><p><strong>Results:</strong> The algorithm differentiates two groups of patients according to the location of the tumor and its impact on nutritional status: high-risk tumors (group 1) include cancers of the head and neck, upper digestive tract and colorectal and low-risk tumors (group 2) include the rest of the neoplasms. …”
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IMAGE PROCESSING MODELS AND METHODS RESEARCH AND WAYS OF IMPROVING MARKER RECOGNITION TECHNOLOGIES IN ADDED REALITY SYSTEMS by Nataliia Bolohova, Igor Ruban

“…At segmentation stages, it is expedient to use genetic algorithms based on the best indicators of proper segmentation and low processing time, but it is necessary to develop functions that are appropriate for the format of the markers. …”
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Study on Harmonic Suppression Method of Permanent Magnet Synchronous Motor in High Voltage Wire Inspection Robot by Ma Long, Xu Xiaoyi, Mao Yanfang, Wang Baocang

“…Then, the d‐axis current is equal to zero in the adjustment control algorithm, and a direct torque control method of the permanent magnet synchronous motor space vector modulation based on time‐varying flux amplitude is proposed. …”
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Bogie Running-in Test of Fault Monitoring Experiment on Rolling Stock Based on Microphone Array by Bo MA, Gongye YU, Ge YAN

“…In view of the low degree of information and intelligence in running-in test of rolling stock bogies, it was difficult to realize fault diagnosis and fault location of bearings and gearboxes quickly and accurately in the test process. …”
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Cooperative secret key generation for multi-hop relaying systems in Internet of things by Shuaifang XIAO, Yunfei GUO, Kaizhi HUANG, Liang JIN

“…The achievable key rate of secret key generation method in multi-hop relaying systems was relative low in Internet of things.A cooperative secret key generation algorithm based on network coding was proposed to improve the achievable key rate.Firstly,all the nodes send training sequences in turn to estimate the channels.After that the relays employ secure network coding technique to assist the two legitimate users to obtain the correlative observations of the same wireless channel,with nothing leakage about the channel information to the eavesdropper.Finally,the two legitimate users agreed on a common secret key directly over the public channel.Theoretical and simulation results validate the performance of the proposed secret key generation algorithm,and obtain that increasing the wireless transmission paths,selecting the transmission path with less hops and larger variance channels can further improve the achievable secret key rate.…”
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Partition detection for large scale ad hoc networks by LI Jian-dong, TIAN Ye, SHENG Min, ZHANG Yan, YAO Jun-liang

“…As the failure of a critical node will directly partition a network,a theorem for critical node identification was proved,which indicates that node degree Ni and elementary loop degree Mi of node i are two decisive factors for the exis-tence of a critical node and shows that Ni-Mi≥ 2 is the necessary and sufficient condition for node i being critical.Based on the theorem,a distributed topology partition detection algorithm（distributed partition detection protocol,DPDP） was presented for large scale networks,which achieves the goal of partition detection efficiently by detecting critical nodes in a local area.Theoretic analysis and experiment results show that DPDP has the advantages of low complexity,high accuracy,low cost as well as good scalability,and is superior to other algorithms.…”
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2DUMAP: Two-Dimensional Uniform Manifold Approximation and Projection for Fault Diagnosis by Benchao Li, Yuanyuan Zheng, Ruisheng Ran

“…However, the UMAP has Out-of-Sample Problem, making it unable to directly map new samples to the learned low-dimensional space. …”
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Unsupervised SAR Image Change Detection Based on Curvelet Fusion and Local Patch Similarity Information Clustering by Yuhao Huang, Zhihui Xin, Guisheng Liao, Penghui Huang, Guangyu Hou, Rui Zou

“…Different fusion rules are designed for the low-frequency subband, mid-frequency directional subband, and high-frequency subband of curvelet coefficients. …”
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Late gadolinium enhancement cardiovascular magnetic resonance with generative artificial intelligence by Omer Burak Demirel, Fahime Ghanbari, Christopher W. Hoeger, Connie W. Tsao, Adele Carty, Long H. Ngo, Patrick Pierce, Scott Johnson, Kathryn Arcand, Jordan Street, Jennifer Rodriguez, Tess E. Wallace, Kelvin Chow, Warren J. Manning, Reza Nezafat

“…In this study, we sought to evaluate a rapid two-dimensional (2D) LGE imaging protocol using a generative artificial intelligence (AI) algorithm with inline reconstruction. Methods: A generative AI-based image enhancement was used to improve the sharpness of 2D LGE images acquired with low spatial resolution in the phase-encode direction. …”
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DOA Estimation Method for Vector Hydrophones Based on Sparse Bayesian Learning by Hongyan Wang, Yanping Bai, Jing Ren, Peng Wang, Ting Xu, Wendong Zhang, Guojun Zhang

“…Simulation experiments have shown that compared with the OMP, MUSIC, and CBF algorithms, the proposed method exhibits higher DOA estimation accuracy under conditions of low SNR, small snapshots, multiple sources, and coherent sources. …”
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Research on wave measurement and simulation experiments of binocular stereo vision based on intelligent feature matching by Junjie Wu, Junjie Wu, Shizhe Chen, Shizhe Chen, Shizhe Chen, Shixuan Liu, Shixuan Liu, Shixuan Liu, Miaomiao Song, Miaomiao Song, Miaomiao Song, Bo Wang, Bo Wang, Bo Wang, Qingyang Zhang, Qingyang Zhang, Yushang Wu, Yushang Wu, Yushang Wu, Zhuo Lei, Zhuo Lei, Zhuo Lei, Jiming Zhang, Jiming Zhang, Jiming Zhang, Xingkui Yan, Xingkui Yan, Xingkui Yan, Bin Miao, Bin Miao, Bin Miao

“…To improve the discontinuity and low accuracy in disparity maps from traditional wave image matching algorithms, this paper proposes the use of a high-precision stereo matching method based on Pyramid Stereo Matching Network (PSM-Net).A 3D reconstruction method integrating Scale-Invariant Feature Transform (SIFT) with stereo matching was also introduced to overcome the limitations of template matching and interleaved spectrum methods, which only provide 2D data and fail to capture the full 3D motion of waves. …”
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JSOM: Jointly-evolving self-organizing maps for alignment of biological datasets and identification of related clusters. by Hong Seo Lim, Peng Qiu

“…A computational approach for aligning different datasets and hence identifying related clusters will be useful for data integration and interpretation in large scale single-cell experiments. Our proposed algorithm called JSOM, a variation of the Self-organizing map, aligns two related datasets that contain similar clusters, by constructing two maps-low-dimensional discretized representation of datasets-that jointly evolve according to both datasets. …”
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A Comparison of CALPUFF and LAPMOD Against the Project Sagebrush Datasets by Roberto Bellasio, Roberto Bianconi, Paolo Zannetti

“…This may be due to the inability of CALMET to reproduce the vertical wind direction variations in a shallow layer close to the ground, but also to inappropriate turbulence dispersion algorithms in the dispersion models. …”
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Integral characteristics of induction loop located overthin conducting layer by V.S. Portnov, N.V. Reva, V.I. Onishchuk, E.S. Li

“…The asymptotic analysis of the obtained relations in the intervals of asymptotically low and high frequencies was performed, and on the basis of received results algorithms for interpreting the experimental frequency dependences of integral characteristics of the induction loop were developed. …”
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Enhanced Real-Time Onboard Orbit Determination of LEO Satellites Using GPS Navigation Solutions with Signal Transit Time Correction by Daero Lee, Soon Sik Hwang

“…Enhanced real-time onboard orbit determination for low-Earth-orbit satellites is essential for autonomous spacecraft operations. …”
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