Hybrid Optimization Machine Learning Framework for Enhancing Trust and Security in Cloud Network by Himani Saini, Gopal Singh, Amrinder Kaur, Sunil Saini, Niyaz Ahmad Wani, Vikram Chopra, Zahid Akhtar, Shahid Ahmad Bhat

“…For resource allocation, the framework employs the Time-aware modified best fit decreasing (T-MBFD) algorithm, which adapts to fluctuating workloads. Key input parameters for T-MBFD include available resources, job size, and time constraints, while output parameters focus on optimized resource distribution and minimizing wastage. …”
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Evaluating the robustness of Bayesian flood mapping with Sentinel-1 data: A multi-event validation study by Florian Roth, Mark Edwin Tupas, Claudio Navacchi, Jie Zhao, Wolfgang Wagner, Bernhard Bauer-Marschallinger

“…The impact of using two polarizations can be seen in particular over vegetation or in case of windy conditions. Furthermore, while the post-processing strategy applied in the TU Wien algorithm helps to prevent speckle impact, it also smooths out important details in small-scale flood events. …”
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A method for efficient virtual-physical synchronization of the digital twin system of an excavation-supporting robot cluster targeting coal pillars between mining faces by Qinghua MAO, Junlei SIMA, Hongwei MA, Chuanwei WANG, Yanzhang CHEN, Wenjin GUO, Wenda CUI, Jiashuai CHENG

“…MethodsFit-controlling vertices were defined, and their collapse cost factor was introduced to improve the quadratic error metric (QEM) algorithm and to constrain the lightweighting process of the 3D model of an assembly while maintaining fits between components. …”
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rhBNN+ Comprehensive Detections and Analyses of the Human Body Temperatures and Sounds by the Same Smart Mask by Bingcan Liao, Pin Sun, Shuyi Chen, Rihong Huang, Junyu Yang, Guofeng Li, Chengzhi Lv, Nan Zhu, Shui Guan, Hailong Liu, Rong Liu, Ali Mansouri, Changkai Sun

“…The SVM achieved 84.3% accuracy for sound data classification, while the Lion algorithm−optimized SVM achieved an even higher accuracy of 93.6%. …”
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Sperm swarm optimization for many objective power flow problems with enhanced performance evaluation in power systems by Wulfran Fendzi Mbasso, Ambe Harrison, Pradeep Jangir, Idriss Dagal, Hossam Kotb, Njimboh Henry Alombah, Raman Kumar, Aseel Smerat, Emmanuel Fendzi Donfack, Saad F. Al-Gahtani, Z. M. S. Elbarbary

“…A single radar plot and a cumulative ranking summary illustrate and quantify how MaOSSO outperforms more recent swarm-based algorithms like GWO, MOPSO, and MOGWO. The study describes specific future improvement actions while admitting some constraints on extremely large-scale systems. …”
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Validation of CT perfusion-based vascular territory mapping: correlation to visual pial grading and outcome measures by Michael Valente, Henry Ma, Andrew Bivard, Bernard Yan, Mark Parsons, Chushuang Chen, Milanka Visser

“…This observational study was performed to assess the hypothesis that the VTM algorithm may correlate to visual measurements of leptomeningeal grading and stroke outcome measures in acute middle cerebral artery (MCA) occlusion. …”
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D. M. Ovsianyko-Kulikovsky as an Orthologist: the Cognitive-evolutionary Coverage by Sergiy Popov

“…Since he had and still has his followers, whose books are still being reprinted, we can speak of the existence of an anti-language-evolutionary conservative party in Russian-language orthology, which can be recognized as quite natural for Russian society as a whole.…”
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Fractional Impervious Surface Mapping on Multispectral Images With Visible Shadows via a Bundle-Based Sparse Unmixing Model by Yanze Liu, Dacheng Li, Wei Xiong, Qijin Han, Lingling Ma

“…In addition, the sparse unmixing algorithm combined with the endmember bundle extraction technique can effectively distinguish impervious surfaces, vegetation, and soils, and the root-mean-square error, mean absolute error, and systematic error of the whole area are much lower than those of the traditional spectral unmixing method, which are approximately 5.52%, 5.86%, and 8.24% lower than those of FCLSU_MANU, respectively. …”
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COMPREHENSIVE CREDIT RISK ASSESSMENT OF UKRAINIAN BANKS by Larysa Hrytsenko, Liudmyla Pavlenko, Iryna Kozhushko, Onur Erişen

“…The financial stability of both individual banks and the banking sector as a whole depends on the feasibility and effectiveness of risk management. …”
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Analysis and prospects for the development of services of the chamber of commerce and industry of Ukraine by O. M. Vinichenko, S. I. Chymshyt, V. O. Ilyukhina, H. E. Riabyk

“…In particular, it is recommended to implement research services, a generalized algorithm for their implementation being presented. …”
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Potential of GNSS-R for the Monitoring of Lake Ice Phenology by Yusof Ghiasi, Claude R. Duguay, Justin Murfitt, Milad Asgarimehr, Yuhao Wu

“…A moving <italic>t</italic>-test algorithm was applied to time-varying SNR values allowing for the detection of lake ice at daily temporal resolution. …”
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Androgens and severity of the new coronavirus infection course by A. A. Gritskevich, Ya. D. Prokhorova, T. P. Baitman, E. Yu. Gritskevich, A. A. Kostin

“…In particular, the data of clinical studies demonstrate a correlation between the level of testosterone in the blood serum and the level of inflammatory cytokines, the features of viral entry into cells, the course of the disease as a whole. This is especially important for understanding the features of the new coronavirus infection in patients with prostate cancer (PC), including for the development of a therapeutic algorithm, indications and contraindications to certain methods of treating PC in a pandemic, as well as ways of additional therapeutic effects when combined with PC and COVID‑19.The review presents the results of studies on the potential mechanisms of increased susceptibility of men to SARS‑CoV‑2 and discusses the search for new therapeutic targets in COVID‑19, discusses the features of the course of COVID‑19 in patients with PC depending on the level of androgens, including androgen deprivation therapy (ADT).…”
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Deep Learned Feature Technique for Human Action Recognition in the Military using Neural Network Classifier by Adeola O Kolawole, Martins E Irhebhude, Philip O Odion

“…Images were segmented into background and foreground using a Grabcut-based segmentation algorithm. On the foreground masked images, features were extracted and used for classification with neural network. …”
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Minimizing Delay in UAV-Aided Federated Learning for IoT Applications With Straggling Devices by Mudassar Liaq, Waleed Ejaz

“…We then use the concurrent deterministic simplex with root relaxation algorithm. We also propose a deep reinforcement learning (DRL)-based solution to improve runtime complexity. …”
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Large indel detection in region-based phased diploid assemblies from linked-reads by Can Luo, Brock A. Peters, Xin Maizie Zhou

“…This pipeline only focuses on target regions (50kb by default) to extract barcoded reads as input and then integrates a haplotyping algorithm and local assembly to generate phased diploid contiguous sequences (contigs). …”
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Prediction of Aerosol Particle Size Distribution Based on Neural Network by Yali Ren, Jiandong Mao, Hu Zhao, Chunyan Zhou, Xin Gong, Zhimin Rao, Qiang Wang, Yi Zhang

“…The results show that BP neural network has a better prediction effect than that of the RBF neural network and is an effective method to obtain the aerosol particle size distribution of the whole atmosphere column using the data of CE-318 and APS 3321.…”
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Online Estimation of the State of Health for the Lithium-Ion Battery Based on Open Circuit Model by Pan Yajia, Junda Li, Wang Tian'An, Yang Shengxun, Zhang Yunxuan, Li Zigang, Hu Yanwen

“…Firstly, the Thevenin model of the lithium-ion battery is established, of which the parameters are identified online by the recursive least squares with forgetting factor algorithm. Then, the OCV model is set up based on the first-order Taylor&#x2019;s formula where the first-order partial derivation of OCV against state of charge (SOC) is modeled as unmodeled noise. …”
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Creep behavior of clayey soil and its model prediction in the Cangzhou land subsidence area by Jianfeng Qi, Yongjie Xie, Chen Li, Haipeng Guo, Yunlong Wang

“…The model contains five parameters, which can be solved by using genetic algorithm, and then a simple determination method of the parameters is proposed. …”
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An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions by Zeyu Bai, Peng Jia, Jiameng Lv, Xiang Zhang, Wennan Xiang, Lin Nie

“…Simulated images are essential in algorithm development and instrument testing for optical telescopes. …”
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LIMITS AND OPERATIONAL EVALUATION OF THE SPAWNERS ESCAPEMENT TO THE SPAWNING GROUNDS AS TOOLS FOR PROSPECTIVE AND SHORT-TERM MANAGEMENT OF THE PACIFIC SALMON STOCKS IN THE RIVERS O... by E. A. Shevlyakov, M. G. Feldman, V. I. Ostrovsky, V. V. Volobuev, A. M. Kaev, E. V. Golub, E. I. Barabanshchikov, I. S. Golovanov

“…If the method of the efficient spawning density is applied to the whole area of spawning grounds, without examination of conditions for spawning, false conclusions on optimum abundance of the spawners could be made. …”
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