Prospects of application of artificial neural networks for forecasting of cargo transportation volume in transport systems by D. T. Yakupov, O. N. Rozhko

“…When predicting the ANN, three methods of learning were used: 1) the Levenberg-Marquardt algorithm-network training stops when the generalization ceases to improve, which is shown by the increase in the mean square error of the output value; 2) Bayes regularization method - network training is stopped in accordance with the minimization of adaptive weights; 3) the method of scaled conjugate gradients, which is used to find the local extremum of a function on the basis of information about its values and gradient. …”
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Knowledge Graph–Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation by Yulong Xia, Jie Li, Bo Deng, Qilin Huang, Fenglin Cai, Yanfeng Xie, Xiaochuan Sun, Quanhong Shi, Wei Dan, Yan Zhan, Li Jiang

“…ResultsThe outputs based on HKG showed reliable performance as compared with neurosurgical doctors, with an overall accuracy of 94.87%. …”
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Productivity measurement using DEA and Malmiquest index by Alireza Khosravi, Sayed Ismail Najafi, Saeed Rafiei

“…There are several ways to assess the performance of the organization, and data envelopment analysis (DEA) is one of the most important methods. DEA is an appropriate technique to measure the efficiency of decision-making units, but does not provide complete information about the unit's productivity. …”
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Weighted Feature Fusion Network Based on Multi-Level Supervision for Migratory Bird Counting in East Dongting Lake by Haojie Zou, Hai Zhou, Guo Liu, Yingchun Kuang, Qiang Long, Haoyu Zhou

“…Among them, the EEMA-VGG16 sub-network cross-injects enhanced efficient multi-scale attention (EEMA) into the truncated VGG16 structure. …”
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Prediction of Water Chemical Oxygen Demand with Multi-Scale One-Dimensional Convolutional Neural Network Fusion and Ultraviolet–Visible Spectroscopy by Jingwei Li, Yijing Lu, Yipei Ding, Chenxuan Zhou, Jia Liu, Zhiyu Shao, Yibei Nian

“…Experimental results demonstrate the effectiveness of the proposed method, as it was compared with three traditional methods and three deep learning methods on the same dataset. …”
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Time-Series Data-Driven PM_2.5 Forecasting: From Theoretical Framework to Empirical Analysis by Chunlai Wu, Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, Wenfeng Zheng

“…Bibliometric analysis shows that research output is growing rapidly, with China and the United States playing a leading role, and recent research is increasingly focusing on data-driven methods such as deep learning. …”
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An Omni-Dimensional Dynamic Convolutional Network for Single-Image Super-Resolution Tasks by Xi Chen, Ziang Wu, Weiping Zhang, Tingting Bi, Chunwei Tian

“…The proposed ODConvNet offers an effective, flexible, and efficient solution for the SISR task and provides promising directions for future research.…”
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A Space-Borne Ka-Band Tile-Type Phased Array Transmitter Module Based on HTCC Technology by Hui Xu, Kaixue Ma, Shuantao Li, Gaojian Liu

“…The proposed Ka-band transmitter module exhibits a gain of ≥26 dB, an output power of ≥21 dBm, and an overall efficiency of the component of ≥40%. …”
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Statistics on the Industry Structure of the Russian Economy and its Optimization Model by O. V. Morozov, M. A. Vasiliev

“…The assessment of the export-import potential of the domestic economy is based on statistical data on the cost of output of goods and services for 2014-2018. Econometric methods of processing the initial data and tabular methods of visualizing the results of the study were used. …”
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Design and Simulation of Ornithopter based on Four-bar Mechanism by Zhao Zhifang, Qi Mingsi, Feng Jingkai, Zhang Wei, Wang Junyuan, Zhang Jiping

“…In addition,the optimized simulation curve can well approach the given task trajectory. The design method proposed in this paper has the characteristics of fast and efficient,and the result is intuitively visible,which provides a feasible scheme for parameter setting and optimization of other mechanical structure.…”
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Reservoir controllers design though robot-reservoir timescale alignment by Fan Ye, Arsen Abdulali, Kai-Fung Chu, Xiaoping Zhang, Fumiya Iida

“…Unlike other model-free approaches, the reservoir controllers are sample-efficient, meaning a weighted average of the reservoir output can be trained with a limited amount of pre-recorded data. …”
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Numerical simulation and experimental study on hydraulic instability of pump as turbine devices induced by thoma number based on scale-averaged wavelet spectrum by Jiantao Shen, Li Cheng, Shuo Jia, Weixuan Jiao, Bowen Zhang, Anlong Yang

“…However, low-head pumps as turbines (PAT) unit often encounter challenges such as flow instability, significant cavitation, and output power fluctuations when operating under off-design conditions, severely compromising their efficiency and operational stability. …”
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Three-dimensional conductive conjugated polyelectrolyte gels facilitate interfacial electron transfer for improved biophotovoltaic performance by Zhongxin Chen, Samantha R. McCuskey, Weidong Zhang, Benjamin Rui Peng Yip, Glenn Quek, Yan Jiang, David Ohayon, Shujian Ong, Binu Kundukad, Xianwen Mao, Guillermo C. Bazan

“…Furthermore, microscopic photocurrent mapping of the biocomposites down to the single-cell level reveals a ~ 0.2 nanoampere output per cell, which translates to a 10-fold improvement relative to that of bare S. elongatus, corroborating efficient electron transport from S. elongatus to the electrode. …”
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Integration of a novel Vernier-DSPM generator in a grid connected hybrid renewable energy system with battery storage by Abderrahmane Redouane, Rachid Saou, Youcef Belkhier, Amrane Oukaour

“…A five-level Active Neutral Point Clamped (5L-ANPC) DC/AC converter is proposed for efficient power flow, better output voltage harmonic spectrum, and better power quality injected into the grid. …”
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Comparative Analysis of Machine Learning Algorithms and Statistical Techniques for Data Analysis in Crop Growth Monitoring with NDVI by M. Arunachalam, S. Sekar, A. M. Erdmann, V. V. Sajith Variyar, R. Sivanpillai

“…ML methods had greater efficiency in terms of replicating the steps for other fields, whereas ISODATA requires analyst intervention and interpretation.…”
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Research on Fast SOC Balance Control of Modular Battery Energy Storage System by Jianlin Wang, Shenglong Zhou, Jinlu Mao

“…In recent years, SOC balancing methods based on software algorithms have gained popularity. …”
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An effective and open source interactive 3D medical image segmentation solution by Yi Gao, Xiaohui Chen, Qinzhu Yang, Andras Lasso, Ivan Kolesov, Steve Pieper, Ron Kikinis, Allen Tannenbaum, Liangjia Zhu

“…First, we proposed an efficient and effective 3D interactive algorithm with the adaptive dynamic programming method. …”
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Lightweight DeepLabv3+ for Semantic Food Segmentation by Bastián Muñoz, Angela Martínez-Arroyo, Constanza Acevedo, Eduardo Aguilar

“…To achieve this, the state-of-the-art DeepLabv3+ model was adapted by optimizing the backbone with the lightweight network EfficientNet-B1, replacing the Atrous Spatial Pyramid Pooling (ASPP) in the neck with Cascade Waterfall ASPP (CWASPP), and refining the encoder output using the squeeze-and-excitation attention mechanism. …”
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DEVELOPMENT OF DC-DC BUCK CONVERTER FOR SOLAR PANEL ENERGY STORAGE THROUGH LOAD OPTIMIZATION AND FEEDBACK CIRCUIT by Widyaningrum Indrasari, Gusti Rama, Rahmondia Nanda Setiadi, Lilik Hasanah, Siti Kudnie Sahari

“…A solar panels cannot be connected directly to the load due to its low energy conversion efficiency and low output voltage. One of the methods used to control solar cells to operate efficiently at their maximum power point is MPPT. …”
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Performance analysis of a PV/T system with metal hydride-based energy storage by Sofiene Mellouli, Faouzi Askri, Talal Alqahtani, Salem Algarni, Badr M. Alshammari, Lioua Kolsi

“…Additionally, the study provides detailed insights into electrical energy output, thermal energy output, heat stored in MH bed, and outlet water temperature. …”
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