The role of magnetic resonance imaging in radiation Diagnosis of abdominal aortic aneurysm by S. S. Saidov, S. K. Skul'skiy, N. P. Morozova, Ya. A. Lubashev, V. A. Ratnikov

“…At the same time, the existing algorithms for examining patients with AAA, aimed at the timely detection of preand postoperative complications, require significant correction [6, 7]. …”
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THREE-DIMENSIONAL GIS MODELING OF THE STRELTSOVSKAYA CALDERA’S COVER ON THE BASIS OF SURFACE RELIEF AND THE BASEMENT’S TOP DIGITAL MODELS by I. O. NAFIGIN, S. A. USTINOV, V. A. PETROV

“…To  solve this problem, modeling of the daylight surface relief and the  basement roof has been carried out on the basis on remote sensing  data, geophysical studies, cartographic materials vectorization and  processing results. …”
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Nonlinear Pulse-Time Conversion in Radioisotope Devices: Analysis and Application Possibilities by A. M. Vodovozov

“…The results obtained confirm the expediency of using time-pulse computing devices for linearizing the conversion curve of radioisotope devices in real time.Carrying out calculations according to the proposed algorithms by means of modern microelectronics opens up new possibilities for expanding the field of application of radioisotope devices in dynamic problems of industrial flaw detection, measuring the parameters of object movement, thickness of rolled products and coatings, in devices for continuous monitoring of liquid media.…”
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Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model by Beevi Fathima, N Santhi Dr, N Ramasamy Dr

“…Furthermore, the Focus View Algorithm is suggested, which incorporates features from infarcted regions to improve early detection of emerging lesions. …”
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Research on Concrete Crack Damage Assessment Method Based on Pseudo-Label Semi-Supervised Learning by Ming Xie, Zhangdong Wang, Li’e Yin

“…Compared with the mainstream models, this method effectively alleviates the problem of data annotation dependence through a semi-supervised strategy while maintaining high accuracy. …”
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A Low-Noise High-Resolution Temperature Measurement Technique Based on Inductive Voltage Divider and Alternating-Current Bridge by Shanghua Gao, Xiaoyi Zhu, Xiaofeng Zhang, Bing Xue, Jilou Xi, Jiang Li, Bing Zhang, Xiaolei Wang, Yuru Wang, Haoyue Zhang, Xu Wu

“…The proposed method has the following three characteristics: (1) it employs an AC excitation signal to drive the temperature measuring bridge to overcome the influence of 1/f noise in electronic components; (2) it uses as few resistance components as possible in the AC bridge and signal detection circuit to reduce the impact of resistance thermal noise on the measurement results; (3) it adopts a frequency-domain data processing algorithm based on discrete Fourier transform to improve the accuracy of the temperature measuring result. …”
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Imaging Method Based on Time Reversal Channel Compensation by Bing Li, Bin-Jie Hu

“…To solve these problems, a novel TRI algorithm is presented in this paper. …”
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Deteksi Cepat Kadar Alkohol Pada Minuman Kopi dengan Metode Dielektrik dan Jaringan Syaraf Tiruan by Sucipto Sucipto, Yuyun Rohmawati, Dyah Ayu Widyaningrum, Danang Triagus Setiyawan

“…Penambahan whiskey pada minuman kopi menjadi problem bagi konsumen. Pengukuran perbedaan nilai sifat biolistrik setiap bahan diharapkan dapat memprediksi kadar alkohol dalam minuman kopi. …”
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Implementation of Method of Minimizing the Side Lobe Level of Autocorrelation Functions of Signals With Nonlinear Frequency Modulation by O. O. Kostyria, A. A. Hryzo, I. A. Khizhnyak, A. V. Fedorov, A. A. Lukianchykov

“… An important problem that is solved during the creation of new and modernization of existing radar equipment is to ensure the maximum range of detection of air targets, which requires increasing the radiated power while maintaining the required range resolution. …”
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Graph cut-based segmentation for intervertebral disc in human MRI by Leena Silvoster, R. Mathusoothan S. Kumar

“…Our approach employs a fast algorithm addressing the s-t max-flow/min-cut problem, incorporating anatomical knowledge of soft tissues in the human body. …”
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Efficient Brain Tumor Segmentation for MRI Images Using YOLO-BT by Mengying Xiong, Aiping Wu, Yue Yang, Qingqing Fu

“…Aiming at the problems of inaccurate segmentation and low detection efficiency caused by irregular tumor shape and large size differences in brain MRI images, this study proposes a brain tumor segmentation algorithm, YOLO-BT, based on YOLOv11. …”
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Design and Implementation of Local Threshold Segmentation Based on FPGA by Shangshang Gao, Yuanyuan Wang, Zhaofeng Chen, Feng Zhou, Rugang Wang, Naihong Guo

“…The experimental results show that the algorithm can effectively solve the problems of reflection and uneven illumination on the image surface, and the segmentation effect is significantly improved compared with the fixed threshold algorithm and Otsu algorithm. …”
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Remote Sensing Target Tracking Method Based on Super-Resolution Reconstruction and Hybrid Networks by Hongqing Wan, Sha Xu, Yali Yang, Yongfang Li

“…And obtaining high-resolution images by optimizing algorithms will save a lot of costs. Aiming at the problem of large tracking errors in remote sensing target tracking by current tracking algorithms, this paper proposes a target tracking method combined with a super-resolution hybrid network. …”
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Bayesian Neural Networks With Robust Feature Interpretation for Enhanced Compressive Strength Prediction of Ultra‐High‐Performance Concrete by Tao Zhang, Ji Hao, Jie Zhang, Lina Du, Yunhao Zhang, Wenbin Jiao

“…This study addresses the research problem by developing an intelligent prediction framework that integrates robust data preprocessing, advanced neural network modeling, and comprehensive interpretability analyses. …”
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Optimal Report Strategies for WBANs Using a Cloud-Assisted IDS by Shigen Shen, Keli Hu, Longjun Huang, Hongjie Li, Risheng Han, Qiying Cao

“…To solve this problem, a cloud-assisted IDS framework is proposed. …”
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Research on Laser Radar Inspection Station Planning of Vehicle Body-In-White (BIW) with Complex Constraints by Lijuan Li, Siyi Wang, Jichao Ma, Xiaobing Gao

“…Focusing on the spatially constrained industrial environments and complex measurement specifications, the work reformulates Laser Radar inspection planning as a multi-constrained optimization problem challenge. Firstly, a parametric geometric modeling approach is developed to define measurement spaces for individual features, accompanied by an innovative maximal complete subgraph mining algorithm to intelligently identify shared feasible measurement regions among multiple features. …”
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Blockchain Integration in Agriculture for Transparent Farm-to-Fork Supply Chains: Leveraging IoT and Decentralized Identity for Enhanced Traceability and Security by Soy Aakansha, Balkrishna Sutar Manisha

“…The main agricultural research problem addressed by this study involves the supply chain transparency inadequacies and operational inefficiencies that stem from data verification problems and trust issues as well as real-time monitoring limitations. …”
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Copula-Driven Learning Techniques for Physical Layer Authentication Using Multimodal Data by Sahana Srikanth, Sanjeev Gurugopinath, Sami Muhaidat

“…A comparative performance study of the proposed architectures across the datasets is carried out in terms of detection accuracy. For the classification task, we consider some of the well-known learning algorithms including long short-term memory (LSTM), random forest, K-nearest neighbor, support vector machine and bagging tree techniques. …”
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The robustness of popular multiclass machine learning models against poisoning attacks: Lessons and insights by Majdi Maabreh, Arwa Maabreh, Basheer Qolomany, Ala Al-Fuqaha

“…Data set poisoning is a severe problem that may lead to the corruption of machine learning models. …”
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L-Shaped-Sensor-Array-Based Localization and Tracking Method for 3D Maneuvering Target by Xing Zhang, Xue Wang

“…The localization and tracking technology for a three-dimensional target, which is a kernel problem in the military area, has received more and more attention. …”
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