Hybrid Solar Desalination System for rural Morocco: Development and performance analysis by M. Hmich, B. Zoukarh, R. Malek, K. Kassmi, P. Schmitz, S. Alexopoulos, K. Schwarzer, H. Chayeb, N. Bachiri

“…This demonstrates a significant improvement in both water output and energy efficiency compared to systems relying only on thermal collectors. …”
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High-value utilization of agricultural residues based on component characteristics: Potentiality and challenges by Rui Xu, Jingwen Chen, Nina Yan, Bingqian Xu, Zhichao Lou, Lei Xu

“…Agricultural residues (ARs) mainly consist of lignocellulose materials, such as crop straws and by-products from agricultural processing, with a global annual output exceeding 1.9 billion tons. Currently, effective waste management and resource utilization have garnered significant attention. …”
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testCompareR: an R package to compare two binary diagnostic tests using paired data [version 4; peer review: 1 approved, 2 approved with reservations] by Marc Y.R. Henrion, José A. Roldán-Nofuentes, Kyle J. Wilson

“…The output and efficiency of testCompareR is compared to the only other available package which performs this function, DTComPair, as well as an open-source program, compbdt, using a motivating example. …”
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Gaseous molecules-mediated electrochemical exfoliation of halogenated MXenes and its boosting in wear-resisting tribovoltaic devices by Qi Fan, Minghua Chen, Longyi Li, Minghui Li, Chuanxiao Xiao, Tianci Zhao, Long Pan, Ningning Liang, Qing Huang, Lijing Yu, Laipan Zhu, Michael Naguib, Kun Liang

“…Molten salts etching route further achieves their controllable surface chemistry. However, the method encounters challenges in achieving few-layered structures due to more complex delamination behaviors. …”
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A Review of Traditional and Advanced MPPT Approaches for PV Systems Under Uniformly Insolation and Partially Shaded Conditions by Mustafa Sacid Endiz, Göksel Gökkuş, Atıl Emre Coşgun, Hasan Demir

“…Existing research clearly demonstrates that the advanced techniques exhibit superior efficiency in comparison to traditional methods, although at the cost of increased design complexity and higher expenses. …”
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The Use of Project Management to Create a New Product/Service with Maximized Customer Value by S. V. Ildemenov, R. I. Kutlakhmetov

“…The study has also evaluated the following indicators: the time of a new product/service development, the most important criterion is the speed of a new product/service output to the market; the cost of the development process; the knowledge level in the project team; the complexity and the labour intensity of the methods used, etc. …”
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Pixels relationship analysis for extracting building footprints by A. Emelyanov, A. Emelyanov, V. Knyaz, V. Knyaz, V. Kniaz, V. Kniaz, D. Artist

“…According to the experimental results, the algorithm shows high efficiency: IOU (intersection over union) = 91.2%, AP (average precision) = 64.1% and AR (average recall) = 75.1%, comparable to leading building boundary extraction methods such as PolyWorld.…”
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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

“…Automatically extracting regularized building outline polygon vectors is crucial for improving vector mapping efficiency and geographic information system applications, but existing deep learning methods struggle to simultaneously achieve accurate detection, high pixel-level coverage, and geometric regularity. …”
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Tools for Providing Technologies to Solve Organizational Management Problems by B. N. Gerasimov, K. B. Gerasimov

“…A study and review of various means and methods of management wascarried out. The most common structural unit of management activity in practice and in many scientific works is the task, which is a complex of procedures for converting input information into output information, performed at a certain time with a given quality. …”
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A Deep Learning Framework for Parameter Estimation in 1D Marine Ecosystem Model by Ao Li, Kewei Zhao, Weiwei Fang, Chan Shu, Runjie Zhou, Qiuyi Li, Xiaolong Huang, Xiaohong Lei, Menghan Xu, Haoyu Jiang, Lin Mu

“…In this study, we proposed a deep learning-based approach for parameter estimation in numerical models, utilizing deep neural networks to capture the complex nonlinear relationships between numerical model input parameters and output variables. A one-dimensional marine ecosystem model is employed as a case study to evaluate the effectiveness of the proposed method. …”
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MONITORING OF EROSION PROCESSES DEVELOPMENT WITH THE USE OF ARCHIVAL REMOTE SENSING DATA by I. I. Nugmanov, E. V. Nugmanova, O. V. Luneva, I. Yu. Chernova

“…The goal of the research is to develop components of the method aimed at output of information on relief-forming processes from archival and current remote sensing (RS) data with the use of the latest data-processing technologies, including photogrammetry and geoinformation systems (GIS). …”
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Three-stage hybrid spiking neural networks fine-tuning for speech enhancement by Nidal Abuhajar, Zhewei Wang, Marc Baltes, Ye Yue, Li Xu, Avinash Karanth, Charles D. Smith, Jundong Liu

“…Recently, spiking neural networks (SNNs) have emerged as a promising low-power alternative to ANNs, leveraging their inherent sparsity to enable efficient computation while maintaining performance.MethodWhile SNNs offer improved energy efficiency, they are generally more challenging to train compared to ANNs. …”
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Grape Leaf Diseases Identification System Using Convolutional Neural Networks and LoRa Technology by Zinon Zinonos, Socratis Gkelios, Ala F. Khalifeh, Diofantos G. Hadjimitsis, Yiannis S. Boutalis, Savvas A. Chatzichristofis

“…In this study, we use the Grad-CAM method to visualize the output layer judgments of the CNN. …”
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Prediction and Analysis of metabolic mechanism for regional water system from the perspective of quantity-quality collaborative control——A case study of Zhejiang Province, China... by Siqi Li, Yang Zhang, Tianqi Liu, Jinbo Zhang, Huaicheng Guo, Xiao Pu, Lu Lu, Changbo Qin

“…In detail, the prediction of water metabolism network in future scenario is established based on the Grey Model-Biproportional Scaling Method (GM-RAS) and the Input-Output Analysis (IOA). …”
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Transient Characteristics Analysis of He-Xe Cooled Space Reactor Coupled with Brayton Cycle Nuclear Power System by WU Yangmao1, 2, TANG Simiao1, 2, ZHU Longxiang1, 2, LIAN Qiang1, 2, ZHANG Luteng1, 2, MA Zaiyong1, 2, SUN Wan1, 2, PAN Liangming1, 2

“…In contrast, delayed intervention requires stronger negative reactivity, leading to a decrease in core temperature and a reduction in thermal efficiency. During TAC shaft speed reduction, reactor heat output remains proportional to system load. …”
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Shortcuts to adiabaticity in anisotropic Bose-Einstein condensates by Chinmayee Mishra, Thomas Busch, Thomás Fogarty

“…Finally, we apply these STA techniques to a unitary engine cycle with a BEC as the working medium. The STA methods significantly enhance the engine’s power output without reducing efficiency and remain highly effective even after multiple consecutive cycles.…”
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Complementary Configuration and Optimal Energy Flow of CCHP-ORC Systems Using a Matrix Modeling Approach by Wencong Huang, Yufang Chang, Youxin Yuan

“…To further improve the using efficiency of the excess thermal energy, an active method, which adds the organic Rankine cycle (ORC) equipment in the CCHP system, is configured. …”
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Intelligent Flood Dispatching in River Basins Based on Knowledge Graphs by SONG Wanli, XIONG Xian, YANG Haihua, ZHU Sha, FENG Yuwei, WANG Zhaoli

“…Aimed at regulating the water level during flood seasons, controlling the discharge and ensuring the power generation output, flood dispatching of cascade hydropower stations plays an important role in alleviating the flood control pressure in the lower reaches of the basins and protecting the life safety of residents. …”
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Toward Intelligent Fading Channel Prediction: A Comprehensive Survey by Ramoni Adeogun

“…We place a significant emphasis on the shift towards machine learning techniques, which offer a promising avenue for enhancing prediction accuracy and operational efficiency. The survey delves into various predictive models, including neural networks, parametric models, and their applications across multiple input multiple output (MIMO) systems, highlighting their relative strengths and limitations. …”
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Dynamics and key directions of sustainable development of regional agriculture in the context of ensuring national and food security of the Russian Federation by Sergey V. Ryazantsev, Marina L. Vartanova

“…The main arguments proving the relevance of target qualitative indicators in the methodology of regional management of the agricultural sector (improved efficiency of agricultural sector and increased output of agricultural and food products to the level that ensures regional food security) were chosen according to the initial and projected situation in food supply. …”
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