Development of a PYTHON library for a mathematical model of nuclear reactor kinetics by Aleksei G. Goryunov, Danil D. Kachanov, Kirill D. Kachanov

“…The developed model is open-source, enabling scientists and engineers to use it for analyzing, optimizing, and managing nuclear reactors, thereby contributing to technological advancements and knowledge dissemination in this field.…”
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A Survey of Localization in Wireless Sensor Network by Long Cheng, Chengdong Wu, Yunzhou Zhang, Hao Wu, Mengxin Li, Carsten Maple

“…The location estimation methods can be classified into target/source localization and node self-localization. …”
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The Ontology-Based Approach Supporting Holistic Energy-Tunnel Design considering Cost, Heat Flux, and System Feasibility by Kun Meng, Chunyi Cui, Cheng Zhang, Hailong Liu

“…However, the conventional methods for designing energy tunnels mostly rely on complex numerical models. …”
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Dynamic pricing strategy of low-carbon integrated energy system considering multiple uncertainties by BIAN Xinyi, FAN Hong, ZENG Bo

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Assessing the Spatial Sustainability of Urban Bus Transit: A Socioeconomic Sustainability Perspective by Fei Shi, Jingang Zhang, Tiantian Wu

“…This concept aims to achieve a balance in the spatial distribution of bus routes, optimizing both social and economic benefits. The paper presented a novel approach that utilizes multisource big data to assess the spatial sustainability of bus transit, with a specific focus on the existing transit-supportive area (TSA) method. …”
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Weak peak identification of gamma spectrum based on singular value decomposition by CHEN Feng, ZHOU Jianbin, LIU Yi

“…Finally, the γ spectrum of the radioactive source 152Eu was used as the experimental object, the peak finding performance of proposed method was compared with that of first-order derivative peak finding, symmetric zero-area peak finding, and singular value decomposition peak finding.ResultsComparison result show that the bidirectional circular matrix SVD peaking method has higher recall rate, precision rate, and F1 value, achieving 100%, 87% and 0.94, respectively.ConclusionsThe approach of this study can optimize weak peak detection and offer additional options for peak finding methods.…”
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Translatological features of online publications on evaluating the BTL technologies effectiveness in the aspect of marketing communications by E. V. Pivanova

“…Linguistic methods of the study included definition method to clarify the content of basic concepts; comparative analysis method to compare the terminological systems of the Russian and English languages; linguistic analysis to determine the parameters of a scientific text; translatological analysis to identify ways to translate units of the source text, comparative analysis and a method of generalization and induction to highlight marketing aspects of evaluating the effectiveness of BTL technologies. …”
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A Multimodal Large Language Model Framework for Intelligent Perception and Decision-Making in Smart Manufacturing by Tianyu Wang, Bowen Zhang, Daqi Jiang, Dong Li

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State Estimation in Power Distribution Grids Using Deep Unfolding by Biswajeet Rout, Balasubramaniam Natarajan

“…Unlike model-agnostic neural networks (NNs), which are difficult to tune and train, the proposed model-based NN is created by “unfolding” the alternating direction method of multipliers (ADMM) solver. This article proposes two methods for state estimation: a purely data-driven approach called model-free DSSE network (MFDSSE-net) and a model-based DSSE network (MBDSSE-net) that incorporates network information by including the linearized power flow constraints into the optimization framework. …”
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Novel Real-Time Power System Scheduling Based on Behavioral Cloning of a Grid Expert Strategy with Integrated Graph Neural Networks by Xincong Shi, Chuangxin Guo

“…Tested on a modified IEEE 33-bus model rich in renewable sources, GES-GNNBC outperforms both traditional and RL methods in stability and efficiency of computing optimization schemes and power balance strategies, markedly improving dispatch decision-making speed and effectiveness.…”
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Research review of digital modeling technologies with 3D spatial visualization for pipelines by Xin LIU, Shengwen TU, Yanfang HOU, Dong LIN, Jie SHU, Yu TANG

“…Future efforts should focus on several key areas, including high-precision data acquisition, multi-source data fusion, optimization of real-time performance for visualization systems, and the promotion of intelligent and automated applications, aiming to achieve comprehensive visual interaction that encompasses pipeline spatial positions, defect information, and operational condition data, ultimately enhancing the intrinsic safety of pipelines.…”
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Study on the Equivalent Conicity of Train Wheelset Based on Image Process by WU Zaixin, BAO Zhengwei, WU Yongwei

“…A system of automatic wheelset tread detection and equivalent conicity calculation based on binocular vision system was proposed, which used laser light source to obtain the tread image of the repaired wheel with the CCD camera. …”
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Intelligent power control strategy based on self-tuning fuzzy MPPT for grid-connected hybrid system by H. Chaib, S. Hassaine, Y. Mihoub, S. Moreau

“…The purpose of the study is to improve the efficiency and reliability of the power supply in the face of unpredictable weather conditions and diverse energy sources. Intelligent control techniques are used to optimize the extraction of energy from available sources and effectively regulate energy distribution throughout the system. …”
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Effective Machine Learning Techniques for Non-English Radiology Report Classification: A Danish Case Study by Alice Schiavone, Lea Marie Pehrson, Silvia Ingala, Rasmus Bonnevie, Marco Fraccaro, Dana Li, Michael Bachmann Nielsen, Desmond Elliott

“…Background: Machine learning methods for clinical assistance require a large number of annotations from trained experts to achieve optimal performance. …”
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Freeform Optics for Achieving Collimated and Uniform Light Distribution in LCD-Type UV-Curable 3D Printing by Zhengbo Zhu

“…Initially, a ray mapping between the source domain and the target domain is established to design the preliminary freeform lens, assuming a point-like light source. …”
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A Joint Decoherence-Based AOA and TDOA Positioning Approach for Interference Monitoring in Global Navigation Satellite System by Wenjian Wang, Yinghong Wen, Yongxia Liu

“…Monitoring and troubleshooting of interference sources are important means to guarantee the normal use of satellite navigation applications and are an important part of GNSS operation in complex electromagnetic environments; however, traditional angle of arrival (AOA) algorithms cannot efficiently operate with coherent signals, so a decoherence-based orientation scheme is proposed to optimize the AOA algorithm. …”
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Development of deep learning models for high-resolution exposome mapping and health impact assessment by Lan Luan, Zhu Daoyu

“…Traditional exposome mapping methods often face limitations, such as low spatial-temporal resolution, challenges in integrating multi-modal data sources, and inadequate handling of uncertainties in exposure quantification.MethodsTo address these gaps, we introduce an innovative framework that leverages advanced deep learning techniques, adaptive optimization strategies, and multi-scale data integration to achieve high-resolution exposome modeling. …”
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Tackling Dual Gaps in Remote Sensing Segmentation: Task-Oriented Super-Resolution for Domain Adaptation by Eungi Hong, Jamyoung Koo, Seongmin Pyo, Haechul Choi, Eunkyung Kim, Haneol Jang

“…In this paper, we propose a novel task-oriented super-resolution method for domain adaptation in remote sensing semantic segmentation. …”
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A Dual-Branch Network for Intra-Class Diversity Extraction in Panchromatic and Multispectral Classification by Zihan Huang, Pengyu Tian, Hao Zhu, Pute Guo, Xiaotong Li

“…A central innovation of our method lies in introducing a modality-specific intra-class diversity modeling mechanism for the first time in dual-source classification. …”
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Selection of an appropriate fluorescent reference material to assess microplastic recovery in natural waters by Noah A. D’Ascanio, Husein Almuhtaram, Robert C. Andrews

“…In this study, an optimal fluorescence reference suspension was developed for use in spike and recovery assessments of microplastic sampling methods when considering source and treated drinking waters. …”
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