Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…Multimodal neural network systems for analyzing heterogeneous dermatological data, using the proposed optimization algorithms, can be applied as a tool for auxiliary medical diagnostics, which will reduce the consumption of financial and labor resources involved in the medical industry, as well as increase the chance of early detection of pigmentary oncopathologies.…”
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AIRWAY ASSESSMENT IN OUTPATIENT DENTAL PRACTICE by I. А. Khrypachenko, T. V. Diomina, O. А. Udod

“…In spite of introduction of new supraglottic devices and video laryngoscopy, detail preoperative examination of patient airway allow to detect cases which require application of emergency airways patency restoration algorithm. …”
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BPDM-GCN: Backup Path Design Method Based on Graph Convolutional Neural Network by Wanwei Huang, Huicong Yu, Yingying Li, Xi He, Rui Chen

“…To address the problems of poor applicability of existing fault link recovery algorithms in network topology migration and backup path congestion, this paper proposes a backup path algorithm based on graph convolutional neural to improve deep deterministic policy gradient. …”
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Antiviral activity of herbal extracts against the tick borne encephalitis virus (literature review) by I. S. Solovarov, M. A. Khasnatinov, A. V. Liapunov, E. L. Manzarova, N. A. Bolotova, N. .. Oyuntsetseg, G. A. Danchinova

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A Development Model for Identifying the Uncertainty Sources and Their Impacts on Bridge Construction Projects by Kayvan Mohammadi Atashgah, Rouzbeh Ghousi, Armin Monir Abbasi, Abbasali Tayefi Nasrabadi

“…The analytic hierarchy process (AHP), on the other hand, is a computer technique that solves a complicated problem by breaking it down into numerous basic problems. …”
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Perfusion Computed Tomography in the Diagnosis of Colonic Diverticular Disease and its Complications by M. V. Timerbulatov, A. F. Itkulov, D. E. Baikov, A. A. Ibatullin, M. M. Khafizov

“…Since PCT is able to detect the difference of microcirculation parameters in inflammatory and malignant processes, it can be used in the diagnostic algorithm to determine further treatment strategy.…”
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EPIDEMIOLOGICAL AND THERAPEUTIC ISSUES OF PSORIATIC DISEASE by V.H. Kravchenko, Ya.O. Yemchenko, A.V. Kravchenko, A.M. Dashchuk, M.O. Dudchenko, V.I. Kamieniev

“…Only the joint efforts of the professional medical association of dermatologists and a significant part of the medical community (pediatricians, cardiologists, endocrinologists, immunologists) under the leadership of the National Health Service and the Ministry of Healthcare of Ukraine can overcome the problem, because the epidemiological and therapeutic issues of psoriatic disease are not exclusively dermatological problems.…”
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A Cross-Calibration Approach for Coastline Extraction With Time Series Satellite Images by Hua Yang, Jintao Xia, Jiang Zhang

“…The steep slope identification algorithm (SSI-A) is employed to detect these areas. …”
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Adaptive Symmetry Self-Matching for 3D Point Cloud Completion of Occluded Tomato Fruits in Complex Canopy Environments by Wenqin Wang, Chengda Lin, Haiyu Shui, Ke Zhang, Ruifang Zhai

“…This study proposes an adaptive symmetry self-matching (ASSM) algorithm. It dynamically adjusts symmetry planes by detecting defect region characteristics in real time, implements point cloud completion under multi-symmetry constraints and constructs a triple-orthogonal symmetry plane system to adapt to multi-directional heterogeneous structures under complex occlusion. …”
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Lantern-Explorer: A Collision-Avoidance Autonomous Exploration Drone System Based on Laser SLAM with Optimized Hardware and Software by L. Zhu, L. Zhu, R. Zhong, R. Zhong, D. Xie, D. Xie, X. Yuan, X. Yuan

“…Additionally, we proposed the improved omnidirectional LiDAR perception algorithm, FUEL-360, for autonomous exploration. This algorithm, based on the LiDAR FOV model, optimizes the strategy for detecting unknown frontiers, improving the efficiency of boundary extraction and viewpoint generation. …”
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The moderating role of professional grief in the relationship between job stress dimensions and turnover intention among nurses by Xue Liang, Jue Wang

“…XGBoost, known for enhancing sensitivity in detection and improving generalization performance, is particularly beneficial for high-dimensional problems and data heterogeneity. …”
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CEREBRAL OXYMETRY IN HIGH RISK CARDIAC SURGERY: APPLICABILITY AND PROTOCOL OF THE CLINICAL TRIAL by P. P. Perovskiy, E. V. Fominskiy, V. A. Shmyrev, I. A. Kornilov, V. V. Likhvantsev, V. V. Lomivorotov

“…Cerebral oxymetry is one of the monitoring techniques aimed at the early detection of changes in the brain state. Currently it is being actively introduced into practice, management algorithms for cerebral oxygenation disorders are being developed basing on it, including the ones for cardiac surgeries. …”
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Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks by Matteo Marouf, Pierre Machart, Vikas Bansal, Christoph Kilian, Daniel S. Magruder, Christian F. Krebs, Stefan Bonn

“…Augmenting sparse cell populations with cscGAN generated cells improves downstream analyses such as the detection of marker genes, the robustness and reliability of classifiers, the assessment of novel analysis algorithms, and might reduce the number of animal experiments and costs in consequence. cscGAN outperforms existing methods for single-cell RNA-seq data generation in quality and hold great promise for the realistic generation and augmentation of other biomedical data types.…”
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Digital Twin for a Frequency Mixer Used as a Phase Sensor by Carlos Pires, Manuel Abreu, Isabel Godinho, Rui Agostinho, João A. Sousa

“…The DT was trained with two machine learning algorithms, in particular, ARIMA and LSTM networks. …”
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The Emergence of AI-Driven Virtual Hospitals: Redefining Patient Care Beyond Physical Boundaries by Ifrah Hameed, Hafiz Muhammad Haseeb Khaliq

“…AI- driven virtual hospitals have solved this problem by automating routine tasks that reduced the workload on medical staff. …”
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Multi-label software requirement smells classification using deep learning by Ashagrew Liyih Alem, Ketema Keflie Gebretsadik, Shegaw Anagaw Mengistie, Muluye Fentie Admas

“…To address this problem, we developed a multi-label software requirement smell model to detect multiple software requirement smells in a single requirement. …”
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Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

“…MSCAS-Net displays the best performance on APTOS and DDR and IDRID benchmarks by reaching accuracy levels of 93.8%, 89.80% and 86.70%, respectively. Through its algorithm, the model solves problems with imbalanced datasets and inconsistent image quality without needing data augmentation because it learns stable features. …”
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Image harmonization improves consistency of intra-rater delineations of MS lesions in heterogeneous MRI by Aaron Carass, Danielle Greenman, Blake E. Dewey, Peter A. Calabresi, Jerry L. Prince, Dzung L. Pham

“…These results could lead to better truth models in both the development and evaluation of automated lesion segmentation algorithms.…”
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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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Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: Optimizing post-processing and application of ComBat by Benjamin Meyers, Vincent K. Lee, Lauren Dennis, Julia Wallace, Vanessa Schmithorst, Jodie K. Votava-Smith, Vidya Rajagopalan, Elizabeth Herrup, Tracy Baust, Nhu N. Tran, Jill V. Hunter, Daniel J. Licht, J. William Gaynor, Dean B. Andropoulos, Ashok Panigrahy, Rafael Ceschin

“…This proves to be a barrier in the analysis of large multi-center studies and is a particularly salient problem given the relative scarcity of neonatal imaging data. …”
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