On the Question of the Applicability of Artificial Intelligence Systems to Forensic Examination of Documents and Their Requisites by A. F. Kupin, A. S. Kovalenko

“…The author gives examples of solving identification, prediction, and detection problems that are successfully solved using such systems. …”
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Proposal for Slepian-States-Based DV- and CV-QKD Schemes Suitable for Implementation in Integrated Photonics Platforms by Ivan B. Djordjevic

“…Quantum repeaters would be an ultimate solution to overcome this problem; however, they are well beyond the reach. …”
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Atrial Fibrillation in Hypertrophic Cardiomyopathy by G. A. Ignatenko, G. G. Taradin, N. T. Vatutin, A. A. Kaluga, Yu. D. Kostyamin

“…The current information about features of atrial fibrillation in patients with hypertrophic cardiomyopathy is presented in this review. …”
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Otimização conjunta de gráficos de X-barra - S ou X-barra - R: um procedimento de fácil implementação Joint optimization of X-bar - S or X-bar - R charts: an easily implemented pro... by Eugenio K. Epprecht, Adriana Leiras

“…An example shows that the procedure is easy to apply. All these features increase its applicability for a wide range of typical practical situations.…”
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An Integrated Model for Circular Waste Management Using the Internet of Things, Semantic Web, and Gamification (Circonomy): Case Study in Indonesia by Vitri Tundjungsari, Bambang Purnomosidi Dwi Putranto, Muhamad Bahrul Ulum, Nizirwan Anwar

“… Abstract BackgroundThe problem of how to deal with waste is a global issue all countries face. …”
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Orofacial Manifestation and Dental Management of Sickle Cell Disease: A Scoping Review by Mayank kakkar, Kristen Holderle, Megha Sheth, Szilvia Arany, Leslie Schiff, Adela Planerova

“…Sickle cell disease (SCD) is an upcoming global health problem with rapid progress in therapy especially since 2017. …”
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PREFERENTIAL CREDITING AS URGENT INSTRUMENT OF THE STATE FINANCIAL SUPPORT OF AGRARIAN AND INDUSTRIAL COMPLEX by Z. B. Aliyeva

“…A complex author’s research of system of subsidizing and crediting of the agrarian and industrial complex enterprises of Russia, detection of advantages of new forms of crediting of the agrarian sector and also the existing concepts and approaches to a solution of the problem of financial support of agrarian and industrial complex. …”
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Defect intelligent recognition of membrane product based on deep learning by Maonian Wu, Ling Li, Wei Peng, Tao Wu, Jinwei Yu, Bo Zheng, Shaojun Zhu

“…We present a feature enhancement module called the SE-CAR, which aims to handle the identified problems effectively. …”
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A Multi-Mode Recognition Method for Broadband Oscillation Based on Compressed Sensing and EEMD by Jinggeng Gao, Honglei Xu, Yong Yang, Haoming Niu, Jinping Liang, Haiying Dong

“…In power systems, the application of wind power generation equipment and power electronic devices leads to an increased frequency of broadband oscillation events, and the detection of oscillation information becomes extremely difficult, due to the limitations of communication bandwidth and the sampling theorem. …”
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Ultrashort wave satellite channel classification and recognition algorithm based on mirror filled spectrum and LA-ResNet50 by Shang WU, Lei SHEN, Lijun WANG, Ruxu ZHANG, Xin HU

“…In response to the classification and identification problems of 5 kHz channels, 25 kHz channels, broadband interference channels, narrowband interference channels, and single tone interference channels in the ultrashort wave frequency band, a classification and identification method for ultrashort wave channels based on mirror filled spectrum and LA-ResNet50 (LBP attention ResNet50) was proposed.The problem of difficulty in distinguishing between satellite channels and background noise under low signal-to-noise ratio, as well as the identification of signal channels and interference channels with similar characteristics, has been effectively solved.Firstly, the proposed method performs mirror symmetry on the ultrashort wave spectrum and fills it in, while blackening the edges of the spectrum to construct a mirror-filled spectrum, which improves the discrimination of different types of channel spectra.Then, channel attention was introduced into ResNet50 to focus the attention of the network model on the channel.Finally, a loss function based on cross entropy and local binary pattern (LBP) was proposed to improve the extraction effect of subtle texture features on signal channels and interference channels images.The proposed method based on mirror-filled spectrum and LA-ResNet50 has shown an improvement of 19.8%, 8.2%, 1.8%, and 0.8% in classification accuracy for ultrashort wave channels compared to the traditional method utilizing fast Fourier transform (FFT) spectrum thresholding, the YOLOv5s target detection and classification method based on mirror-filled spectrum, the Attention-ResNet50 method with attention mechanism based on mirror-filled spectrum, and the Transformer network method under a signal-to-noise ratio (SNR) of 10 dB.…”
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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

“…Moreover, the motion of remote sensing targets usually has nonlinear features, and existing target tracking methods based on remote sensing data cannot accurately track remote sensing targets. …”
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Security situational awareness of power information networks based on machine learning algorithms by Chao Wang, Jia-han Dong, Guang-xin Guo, Tian-yu Ren, Xiao-hu Wang, Ming-yu Pan

“…A perception model outlines the consequences of the abstracted perception problem. Sample data is initially pre-processed using linear discriminant analysis methods to optimise the data, get integrated features, and ascertain the best projection. …”
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Clinical Significance of Germline Variants in the Gene and Their Association With Prostate Cancer Risk in Polish Men: A Case-Control Study by Marta Heise PhD, Piotr Jarzemski MD, Julia Kuk

“…Objectives Currently, prostate cancer (PC) is the most common medical problem endangering men’s health and life worldwide. …”
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Сomparative analysis of social disadaptation and criticality indicators in patients with schizoaffective disorder and paranoid schizophrenia as components of pathopersonological tr... by M. Ye. Khomitskyi

“…Differential diagnosis of schizophrenia or schizoaffective disorder (SAD), both are included in endogenous psychoses group, which represents an extremely important problem in clinical practice and modern psychiatric theory considering steady expanding and transforming ideas about the systematic typology of mental diseases in recent years. …”
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SAR 3D Reconstruction Based on Multi-Prior Collaboration by Yangyang Wang, Zhenxiao Zhou, Zhiming He, Xu Zhan, Jiapan Yu, Xingcheng Han, Xiaoling Zhang, Zhiliang Yang, Jianping An

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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…Introduction: Artificial intelligence (AI) is defined as an artificial entity capable of solving problems, learning from experience, and performing tasks such as pattern recognition and inductive reasoning. …”
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CARDIOVASCULAR AND METABOLIC IMPAIRMENT IN PATIENTS WITH OBSTRUCTIVE SLEEP APNEA by M. V. Gorbunova, S. L. Babak, A. G. Maliavin

“…Now obstructive sleep apnea (OSA) recognized as an  independent predictor of the development of impaired glucose  tolerance (insulin resistance, fasting hyperglycaemia), type 2  diabetes mellitus (DM2), resistant arterial hypertension, cardio- vascular death. The problem of identifying and treating patients with OSA is still actual. …”
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A Deep Shrinkage Network for Direction-of-Arrival Estimation with Sparse Prior by Lei Zhou, Shihong Zhou, Yubo Qi, Lixin Wu, Yannick Benezeth

“…Current methods struggle with this problem in passive detection scenarios. To address these limitations, this study proposes a deep learning (DL)-based DOA estimation framework leveraging sparse representation. …”
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PolyReg: Autoregressive Building Outline Regularization via Masked Attention Sequence Generation by Longfei Cui, Chao Li, Xin Chen, Xiao Wang, Haizhong Qian

“…In the first stage, the SegFormer model is used to extract image features, effectively capturing global context information. …”
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Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network by Runfang Hao, Yunpeng Bai, Kun Yang, Yongqiang Cheng, Shengjun Chang

“…Finally, the kernel size of the CNN is optimized based on the length of the filtered periodic pulse signal, which enables the CNN to achieve deeper feature extraction and classification. Experimental results from two different datasets highlight that AMOMCKD-CNN outperforms other classical diagnostic methods under the same conditions, and it is more conducive to the detection of compound faults.…”
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