Identification of digital device hardware vulnerabilities based on scanning systems and semi-natural modeling by E. F. Pevtsov, T. A. Demenkova, A. О. Indrishenok, V. V. Filimonov

“…An important aspect of this problem is to study existing methods for the possibility and ability to identify hardware errors or search for errors on the corresponding models. …”
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Chest X-Ray Images to Differentiate COVID-19 from Pneumonia with Artificial Intelligence Techniques by Rumana Islam, Mohammed Tarique

“…This investigation has employed two algorithms to solve this problem objectively. One algorithm uses lower-dimension encoded features extracted from the X-ray images and applies them to the machine learning algorithms for final classification. …”
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A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data. by Aaditya V Rangan, Caroline C McGrouther, John Kelsoe, Nicholas Schork, Eli Stahl, Qian Zhu, Arjun Krishnan, Vicky Yao, Olga Troyanskaya, Seda Bilaloglu, Preeti Raghavan, Sarah Bergen, Anders Jureus, Mikael Landen, Bipolar Disorders Working Group of the Psychiatric Genomics Consortium

“…We present a simple algorithm for tackling this biclustering problem. Our algorithm accumulates information about 2-by-2 submatrices (i.e., 'loops') within the data-matrix, and focuses on rows and columns of the data-matrix that participate in an abundance of low-rank loops. …”
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The System Research and Implementation for Autorecognition of the Ship Draft via the UAV by Wei Zhan, Shengbing Hong, Yong Sun, Chenguang Zhu

“…In order to solve the above problems, this paper introduces the computer image processing technology based on deep learning, and the specific process is divided into three steps: first, the video sampling is carried out by the UAV to obtain a large number of pictures of the ship draft reading face, and the images are preprocessed; then, the deep learning target detection algorithm of improved YOLOv3 is used to process the images to predict the position of the waterline and identify the draft characters; finally, the prediction results are analyzed and processed to obtain the final reading results. …”
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Constrained Extended Kalman Filter for Target Tracking in Directional Sensor Networks by Sha Wen, Zixing Cai, Xiaoqing Hu

“…Then, the target tracking problem is formulated as a constrained estimation problem, and a constrained extended Kalman filter (CEKF) tracking algorithm integrating the direction and measurement information is presented; its structural and statistical properties are rigorously derived. …”
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Damage Diagnosis in 3D Structures Using a Novel Hybrid Multiobjective Optimization and FE Model Updating Framework by Nizar Faisal Alkayem, Maosen Cao, Minvydas Ragulskis

“…Structural damage detection is a well-known engineering inverse problem in which the extracting of damage information from the dynamic responses of the structure is considered a complex problem. …”
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Multi-label semantic segmentation of magnetic resonance images of the prostate gland by Mark Locherer, Christopher Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan Philipp Radtke

“…Especially freely available labeled prostate magnetic resonance imaging data is rare. With regard to this problem, we show a method to combine two existing small datasets to form a bigger one. …”
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The main approaches to the formation of competence in the field of diagnostics of circuits based on FPGA by Yuriy V. Shapovalov, Boris N. Chugaev

“…This work is devoted to the questions of diagnostics and control of primitive machines (combinational circuits), described by Boolean equations in “Theory of machines”, which are the theoretical foundation for formulating and solving problems in the field of computer science. A classic application of these provisions is the development of models of computing systems hardware. …”
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Classification of Alzheimer's disease using unsupervised diffusion component analysis by Dominique Duncan, Thomas Strohmer

“…The key difference between our method and others used to classify and detect AD early in its course is our nonlinear and local network approach, which overcomes calibration differences among different scanners and centers collecting MRI data and solves the problem of individual variation in brain size and shape. …”
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Advancements in the use of AI in the diagnosis and management of inflammatory bowel disease by Dalia Braverman-Jaiven, Luigi Manfredi

“…To tackle this, more annotated colonoscopy images and videos will be required for the training of new and more reliable AI algorithms. This article discusses the current challenges in the early detection of IBD, focusing on the available AI algorithms, and databases, and the challenges ahead to improve the detection rate.…”
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UAV attitude estimation based on MARG and optical flow sensors using gated recurrent unit by Xiaoqin Liu, Xiang Li, Qi Shi, Chuanpei Xu, Yanmei Tang

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Tree-Based Backtracking Orthogonal Matching Pursuit for Sparse Signal Reconstruction by Yigang Cen, Fangfei Wang, Ruizhen Zhao, Lihong Cui, Lihui Cen, Zhenjiang Miao, Yanming Cen

“…By solving an optimization problem, the original sparse signal can be reconstructed accurately. …”
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Co-Colonization of Non-<i>difficile</i> Clostridial Species in Antibiotic-Associated Diarrhea Caused by <i>Clostridioides difficile</i> by Daniel Salas-Treviño, Samantha Flores-Treviño, Carlos Cisneros-Rendón, Cristian Valdemar Domínguez-Rivera, Adrián Camacho-Ortiz

“…Hospitalized confirmed CDI cases were analyzed. CDI detection was performed using a 2-step diagnostic algorithm, including glutamate dehydrogenase (GDH) with toxin A/toxin B assays and molecular detection of the <i>tpi</i> gene. …”
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Spectroscopic and Imaging Technologies Combined with Machine Learning for Intelligent Perception of Pesticide Residues in Fruits and Vegetables by Haiyan He, Zhoutao Li, Qian Qin, Yue Yu, Yuanxin Guo, Sheng Cai, Zhanming Li

“…Therefore, it is of great significance to develop rapid, non-destructive, and efficient detection technologies and equipment. In recent years, the combination of spectroscopic techniques and imaging technologies with machine learning algorithms has developed rapidly, providing a new attempt to solve this problem. …”
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Detección y diagnóstico de fallas en motores mediante el análisis de vibraciones aplicando técnicas de inteligencia artificial. by Jair Elías Araujo Vargas, Dilan Yesid Franklin Coronel, Victor Manuel Arias Ruiz

“…Thus, artificial intelligence algorithms demonstrated high accuracy in fault detection and resolution, identifying various types of problems in a timely manner; the models contributed significantly to the overall analysis, offering a more reliable approach to predictive industrial maintenance, paving the way for future improvements and the adoption of new, more robust and adaptable algorithms.…”
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CSL-SFNet for Cooperative Spectrum Sensing in Cognitive Satellite Network with GEO and LEO Satellites by Kai Yang, Shengbo Hu, Xin Zhang, Tingting Yan, Manqin Zhu

“…The simulation results demonstrate that the proposed algorithm can achieve a detection probability of 90% when the signal-to-noise ratio is −20 dB; it has a shorter running time and always outperforms the other CSS algorithms.…”
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Hybrid model integration with explainable AI for brain tumor diagnosis: a unified approach to MRI analysis and prediction by D. Vamsidhar, Parth Desai, Sagar Joshi, Shrikrishna Kolhar, Nilkanth Deshpande, Shilpa Gite

“…Medical imaging plays a pivotal role in improving tumor detection and diagnosis in the early stage. This study presents two approaches to the tumor detection problem focusing on the healthcare domain. …”
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Reactive Power Controller for Under-Excitation Limiter With Regard to Electromechanical Oscillations by Dusan Joksimovic, Djordje Stojic, Slavko Veinovic, Darko Marcetic

“…Considering that the SG is close to its stability limit when the UEL is operational, if the Var controller is not tuned well, the UEL can generate a negative damping torque on electromechanical oscillations and even lead to SG instability. The proposed algorithm solves this problem by targeting the specific frequency bandwidth of the Var control system that excludes the detected frequency of electromechanical oscillations. …”
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River Surface Space–Time Image Velocimetry Based on Dual-Channel Residual Network by Ling Gao, Zhen Zhang, Lin Chen, Huabao Li

“…To solve this problem, we propose a deep learning-based MOT detection model using a dual-channel ResNet (DCResNet). …”
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Determining Body Condition of Dairy Cows for Early Diagnosis of Physiological Diseases by D. Yu. Pavkin, S. S. Yurochka, A. A. Polikanova, I. M. Dovlatov

“…It was determined that in 24 percent of cases the body condition score is less than the least normal one. An algorithm was developed to help veterinarians to detect the animals that need additional examination. …”
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