Constrained total least squares localization using angle of arrival and time difference of arrival measurements in the presence of synchronization clock bias and sensor position er... by Ruirui Liu, Ding Wang, Jiexin Yin, Ying Wu

“…Subsequently, a set of pseudo-linear equations are constructed, based on which the constrained total least squares optimization model has been formulated for target localization and the Newton iteration is applied to obtain the source position and clock bias simultaneously. …”
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Energy Management Considering Energy Storage and Demand Response for Smart Energy Hub in Internet of Things by Jinyong Lei, Changcheng Zhou, Xiaolin Li, Andi Huang, Hao Bai, Zhiyong Yuan, Linjie Zhou

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Probabilistic phase labeling and lattice refinement for autonomous materials research by Ming-Chiang Chang, Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Lan Zhou, John M. Gregoire, Carla P. Gomes, R. Bruce van Dover, Michael O. Thompson

“…However, rapid, automated, and reliable analysis of XRD data at rates that match the pace of experimental measurements at a synchrotron source remains a major challenge. To address these issues, we developed CrystalShift for rapid and efficient probabilistic XRD phase labeling employing symmetry-constrained optimization, best-first tree search, and Bayesian model comparison. …”
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Smart Attention (SAB-LSTM): A Revolutionary Model for Advanced Solar Energy Forecasting by Aljafari Belqasem, Babu Thanikanti Sudhakar

“…Solar power forecasting has a significant relevance to the optimization of energy management and to maintaining the reliability of the power systems against the growing use of renewable sources of energy globally. …”
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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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Study on the hybrid energy storage for industrial park energy systems: Advantages, current status, and challenges by Guo Jiacheng, Peng Jinqing, Luo Yimo, Zou Bin, Luo Zhengyi

“…This discussion leads to proposals for the direction of future research. The optimization methods and processes for designing and operating hybrid energy storage systems were proposed based on theoretical frameworks and methods. …”
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Path Planning of Unmanned Autonomous Helicopter Based on Human-Computer Hybrid Augmented Intelligence by Zengliang Han, Mou Chen, Tongle Zhou, Zhiqiang Nie, Qingxian Wu

“…Firstly, an improved artificial bee colony (I-ABC) algorithm is proposed based on the dynamic evaluation selection strategy and the complex optimization method. In the I-ABC algorithm, the following way of on-looker bees and the update strategy of nectar source are optimized to accelerate the convergence rate and retain the exploration ability of the population. …”
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Research Progress on Thermal Management of Electronic Devices Based on Flat Heat Pipe Technology by Luo Song, Yan Yuhao, Ye Gongran, Zhu Jianjie, Ouyang Hongsheng, Xiao Longhuang, Han Xiaohong

“…By evaluating the internal flow and heat transfer characteristics of flat heat pipes under different capillary wick structures and cavity thicknesses, the mechanism and comprehensive optimization method of heat dissipation performance, and the design of a flat heat pipe with strong space adaptability and high heat dissipation performance compatible to different electronic device heat management requirements are still key technologies to be further developed. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…Most current approaches focus on shallow learning methods such as community analysis, ego network or selection of subspace method. …”
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Predictive model on employee stock ownership impacting corporate performance by Yiping Huang, Shixin Huang, Xiangjian Chen

“…Finally, the Explainable AI (XAI) is built based on the LSTM model, and the SHAP value method is used to downsize the performance of the complex black box model LSTM, present the model “black box”, and analyze the common roles played by the elements of ESOPs, the maturity level of smart manufacturing, and the social sentiment on ESOPs in the long term and nonlinear process. …”
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Form Grinding Simulation and Allowance Distribution Technique of Large Gear Ring by Luo Yong, Chen Weifang, Chen Qiwei, Su Chuan

“…Taking a large gear ring as the research object,with the deformation control as the goal,the deformation of several sets of grinding gear is simulated and the optimal distribution value is obtained. The research method had some guidance significance on improving the precision of large gear ring forming grinding.…”
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Research of Positioning Accuracy of the Cycloid Ball Planetary Transmission by Su Hui, Yang Kun, Yu Qinghuan, Hou-Tian Bowen

“…In view of the influence of elastic deformation of ball reducer gear meshing point on the transmission performance,a method for locating the positioning accuracy by using the stiffness coefficient of the mesh point is proposed. …”
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Customizing egg incubators for Cameroon: A design and construction guide. by Marck Jickel Kemegne Tagne, Thomas Kanaa, Paul Etouke Owoundi, Arnaud Obono Biyobo

“…The incubator is built using the prototyping method, and the optimization of energy efficiency for the system was achieved through the mathematical modeling of heat transfer. …”
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Two-stage amplification mechanism based on flexible hinge by WANG Xuecheng, ZHANG Shijun, CUI Xilong

“…Piezoelectric ceramics serve as the driving source, and a parameter optimization model was developed using Matlab software. …”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…To meet this new goal, one must be able to understand the urban system through the integrated use of different methods in a multi-level approach. In this context, mobile surveying is a consolidated method for data collection in urban environments. …”
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TCN–Transformer Spatio-Temporal Feature Decoupling and Dynamic Kernel Density Estimation for Gas Concentration Fluctuation Warning by Yanping Wang, Longcheng Zhang, Zhenguo Yan, Jun Deng, Yuxin Huang, Zhixin Qin, Yuqi Cao, Yiyang Wang

“…Finally, a dynamic confidence interval is established using the locally weighted kernel density estimation (LWD-KDE) method with an optimized bandwidth, and an unsupervised early warning mechanism for the risk of gas concentration fluctuations in coal mines is constructed. …”
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Hosting capacity in smart distribution systems using OpenDSS tool and Monte Carlo-based methodology by Masic Fatima, Saric Mirza, Hivziefendic Jasna, Dzemic Zijad

“…A considerable increase of the circuit losses is recorded if the optimal penetration of PV is exceeded. The main contribution of this work is the development, testing and implementation of the HC estimation method in complex power systems using open-source tools and integrating them in an innovative fashion. …”
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Identifying the Spatial Range of the Pearl River Delta Urban Agglomeration from a Differentiated Perspective of Population Distribution and Population Mobility by Yongwang Cao, Qingpu Li, Zaigao Yang

“…This method not only provides technical support for scientific regional planning but also effectively guides the functional positioning of edge cities and the optimization of resource allocation. …”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…This method provides a scientific analytical approach for landscape design from macro to micro scales, helping form spatial structure optimization schemes based on bottom-up design concepts. …”
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Typical characteristic mining and load evaluation for the difficulties of power supply–demand balance regulation by Junwei Li, Yang Yu, Zengqiang Mi, Jian Wu

“…Finally, to elucidate the contribution of random samples to typical demand features, a sample weighting method utilizing clustering categories is proposed and a distance‐minimum optimization model is constructed to estimate typical features by leveraging the “group effect” concept. …”
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