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

“…A scanning algorithm using the Remote Bitbang protocol is proposed to enable data to be transferred between OpenOCD and a device connected to the debug port. …”
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A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons by Liya Li, Liya Li, Ying Hu, Ying Hu, Xiaojun Wang, Pei Sun, Tingwei Quan

“…Our results demonstrate significantly improved axon detection rates across both state-of-the-art and traditional methodologies. …”
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Measuring Transducer for Air Gap Capacitive Sensor in Hydrogenerator by A. S. Levytskyi, I. O. Zaitsev, V. O. Bereznychenko, O. E. Sukhorukova

“…The aim of this paper was to develop a secondary measuring transducer providing accuracy and resolution for a capacitive gap sensor formed by coplanar parallel electrodes.It is shown that the reliability and safety of operation of powerful HG inextricably depend on the timely detection of their defects, especially during operation. …”
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A plug and play fuzzy mask extraction module for single image deraining by Mingdi Hu, Yao Song, Songxin Zhang, Zejian Xie, Bingyi Jing

“…The advantage of our proposed method is, as long as our fuzzy mask extraction module is embedded in any encoding and decoding rain removal network, it can obtain additional guided information such as rainy/non-rainy regions and the degree of degraded image, which can be greatly beneficial in rain detection and removal. Comprehensive experiments show that combining the rain removal network with our proposed model not only improves the rain removal effect of the algorithm, but also gives clearer background details of the image. …”
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Polygraph and audio synchronization applied to apnea event analysis based on non-negative matrix factorization by Francisco David Gonzalez-Martinez, Juan De La Torre-Cruz, Julio Jose Carabias-Orti, Francisco Jesus Canadas-Quesada, Alejandro Antonio Salvador-Navarro, Jose Ranilla, Lyam Lamrini-H. Laarbi

“…The primary clinical methods for OSA detection are polysomnography (PSG) and polygraphy (PG). …”
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An Improved Time-Frequency Identification Method for Pipeline Weld EMAE Aliasing Modes With a Focused Electromagnetic Excitation Device by Houshi Ding, Pan Hu, Tongyu Zhao, Yuchao Jin, Xu Gui

“…The detection of circumferential cracks in pipeline welds is crucial for ensuring pipeline safety. …”
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The Application of Artificial Digital Models in X-Ray Computed Tomography (CT) of the Core in Solving the Problem of Binarization of the Void Space of Reservoir Rocks by O. A. Melkishev, Y. V. Savitsky, S. V. Galkin

“…These phantoms were then converted into tomograms, allowing us to determine statistical characteristics of the values for X-ray densities of the samples at the reconstruction stage.Based on the statistical analysis of the X-ray density distribution in the sample, we determined the boundary values that are most suitable for reliable void space detection. Using regression and correlation methods, we developed a model to estimate the optimal boundary value for X-ray density in void space allocation.We proposed an algorithm for determining and applying this value in the analysis of core X-ray CT data.This model was tested on real samples that were not used in the development of the forecast model. …”
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Snow Distribution Patterns Revisited: A Physics‐Based and Machine Learning Hybrid Approach to Snow Distribution Mapping in the Sub‐Arctic by R. L. Crumley, C. L. Bachand, K. E. Bennett

“…We trained a random forest ML algorithm on tens of thousands of snow survey observations from a subarctic study area on the Seward Peninsula, Alaska, collected during peak snow water equivalent (SWE). …”
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Neuroimaging informatics framework for analyzing rare brain metastasis patterns in pleural mesothelioma using hybrid PET CT by Sumit Kumar Agrawal, Indra Prakash Dubey, Anoop Kumar Nair, Anurag Jain, Abhishek Mahato, Rajeev Kumar

“…Our methodology combines sophisticated neuroinformatics technologies with AI-driven image processing algorithms to improve hybrid PET-CT scans' spatial and metabolic resolution. …”
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A practical guide to UAV-based weed identification in soybean: Comparing RGB and multispectral sensor performance by Kelvin Betitame, Cannayen Igathinathane, Kirk Howatt, Joseph Mettler, Cengiz Koparan, Xin Sun

“…In this research, a field study was conducted using a support vector machine classification algorithm and object-based image analysis in ArcGIS Pro to examine the impact of sensor choice on weed type differentiation. …”
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Reducing False Alarm in Target Sidelobes Using Time-Varying Trajectories in Range-Doppler Diagram With Conditional 3D-DCNN by Jiyeon Choi, Daegun Oh, Youngwook Kim

“…By adjusting a Gaussian filter in accordance with the target’s velocity in the suggested C-3D-DCNN structure, the algorithm distinguishes real targets from clutter, noise, and target sidelobes that appear along the Doppler axis. …”
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Generative Target Tracking Method with Improved Generative Adversarial Network by Yongping Yang, Hongshun Chen

“…In this paper, we proposed a target tracking algorithm based on the conditional adversarial generative twin networks, using the improved you only look once multitarget association algorithm to classify and detect the position of the target to be detected in the current frame, constructing a feature extraction model using generative adversarial networks (GANs) to learn the main features and subtle features of the target, and then using GANs to generate the motion trajectories of multiple targets, finally fuzing the motion and appearance information of the target to obtain the optimal match. …”
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Motion Analysis in Alpine Skiing: Sensor Placement and Orientation-Invariant Sensing by Behrooz Azadi, Michael Haslgrübler, Alois Ferscha

“…In field experiments with six skiers, the suggested preprocessing algorithm consistently detected skiing turns with an overall RMSE of 0.77 and MAE of 0.50 on all of the sensors relative to a reference sensor.…”
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Application of Energy Dispersive X-ray Fluorescence Spectroscopy in Analysis of Heavy Metals in Soil: A Review by Aosong JIANG, Longhua WU, Zhu LI

“…Therefore, the current mainstream focus is on combining the advantages of different algorithms for the preprocessing analysis of ED-XRF spectroscopy and the establishment of quantitative analysis models to improve the accuracy of ED-XRF detection. …”
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Research on the Method of Coke Optical Tissue Segmentation Based on Adaptive Clustering by Huaiguang Liu, Liheng Zhang, Shiyang Zhou, Li Fang

“…The experimental results show that compared with the traditional K-means algorithm, FCM algorithm, and Meanshift algorithm, the adaptive clustering algorithm proposed in this paper is more accurate in the segmentation of various tissue components in COT images, and the accuracy of tissue segmentation reaches 94.3500%.…”
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Worst-Case Input Generation for Concurrent Programs under Non-Monotone Resource Metrics by Long Pham, Jan Hoffmann

“…It has several applications, and can, for example, detect vulnerabilities to denial-of-service (DoS) attacks. …”
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Gridless DOA Estimation with Extended Array Aperture in Automotive Radar Applications by Pengyu Jiang, Silin Gao, Jie Zhao, Zhe Zhang, Bingchen Zhang

“…Additionally, because the targets detected by automotive radar typically exhibit sparsity, compressed sensing-based algorithms have been utilized for sparse array reconstruction, achieving superior performance. …”
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QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting. by Dominic Waithe, Peter Rennert, Gabriel Brostow, Matthew D W Piper

“…The accuracy of the baseline algorithm is additionally increased in this study through correction of bias observed in the algorithm output. …”
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Anti-Interference Heartbeat Measurement Based on a Miniaturized Doppler Radar Sensor by Lingtong Min, Qinyi Lv, Laisen Nie, Deyun Zhou

“…Unfortunately, most detections are easily affected by interference or strong noise. …”
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Fast Method for DOA Estimation with Circular and Noncircular Signals Mixed Together by Yaoping Zeng, Yixin Yang, Guangyue Lu, Qiongdan Huang

“…However, it is quite often in practical engineering that circular and noncircular signals appear in the same time. To effectively detect DOA of signals in such circumstances, we propose a novel algorithm. …”
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