A new approach for bin packing problem using knowledge reuse and improved heuristic by Jie Fang, Xubing Chen, Yunqing Rao, Yili Peng, kuan Yan

“…In this study, the similarity measurement method based on the twin neural network model is used to evaluate the similarity of pieces in the source task and the target task. …”
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Determination of Nitrate Nitrogen and Nitrite Nitrogen in Brackish and Saline Waters by Flow Injection Analysis by Hongbin SUN, Huiyuan ZANG, Xin ZHANG, Yun ZHU, Lei WANG

“…It has been widely used in freshwater and seawater analysis, but for saline water samples with higher salinity, the method has not been studied in depth.OBJECTIVESTo establish an analytical method for the determination of nitrate nitrogen and nitrite nitrogen in saline water and brackish water using a fully automatic flow injection analyzer to expand the scope of application of the instrument and achieve simultaneous determination of nitrate nitrogen and nitrite nitrogen in saline water, brackish water and freshwater.METHODAn analytical method suitable for the determination of nitrate nitrogen and nitrite nitrogen in saline and brackish water was established using a fully automatic flow injection analyzer after optimizing experimental conditions such as instrument working parameters, the affection of sulfonamide and N-(1-naphthyl) ethylenediamine concentration, the ammonium chloride concentration and pH value in buffer solution.RESULTSThe optimal instrumental operating conditions were selected through condition optimization experiments. …”
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Enhancing grid frequency regulation in low inertia modern multi‐area power systems using cascaded non‐integer control approaches with BESS‐based virtual inertia by Tushar Kanti Roy, Amanullah Maung Than Oo

“…Abstract In modern power systems, the integration of inverter‐based renewable energy sources has significantly reduced system inertia, leading to heightened frequency fluctuations and potential instability within multi‐area interconnected microgrids. …”
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Survey on positioning technology based on signal of opportunity from low earth orbit by Jiawei He, Jiawei He, Shaojie Ni, Shaojie Ni, Honglei Lin, Honglei Lin, Zhe Liu, Zhe Liu, Zhibin Xiao, Zhibin Xiao

“…This paper begins by introducing the principle of Doppler location and analyzing its error sources. It then discusses in detail the methods of observation extraction, including cognitive-based and blind-based methods. …”
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Amplitude and Phase Calibration with the Aid of Beacons in Microwave Imaging Radiometry by Aperture Synthesis: Algebraic Aspects and Algorithmic Implications by Eric Anterrieu

“…The performances of both amplitude and phase calibration are then assessed by means of numerical simulations with emphasis on the sensitivity of the accuracy to the inversion method as well as to various errors.…”
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LiDGS: An efficient 3D reconstruction framework integrating lidar point clouds and multi-view images for enhanced geometric fidelity by Li Yan, Jiang Song, Hong Xie, Pengcheng Wei, Gang Li, Longze Zhu, Zhongli Fan, Shucheng Gong

“…Multi-view reconstruction of real-world scenes has been an important and challenging task. Although methods based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have made significant progress in rendering quality, there are still some limitations regarding the fidelity of geometric structures. …”
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A Review on Risk and Reliability Analysis in Photovoltaic Power Generation by Ahmad Zaki Abdul Karim, Mohamad Shaiful Osman, Mohd. Khairil Rahmat

“…Qualitative methods include failure mode analysis, graphical analysis, and hazard analysis, while quantitative methods include analytical methods, stochastic methods, Bayes’ theorem, reliability optimization, multi-criteria analysis, and data utilization. …”
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Research on Self-Diagnosis and Self-Healing Technologies for Intelligent Fiber Optic Sensing Networks by Ruiqi Zhang, Liang Fan, Dongzhu Lu

“…To address the issue of insufficient reliability of fiber optic sensing networks in complex environments, this study proposes a self-diagnosis and self-healing method based on intelligent algorithms. This method integrates redundant fiber paths and a fault detection mechanism, enabling rapid data transmission recovery through redundant paths during network faults, ensuring the stable operation of the monitoring system. …”
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Service-Level Objective-Aware Load-Adaptive Timeout: Balancing Failure Rate and Latency in Microservices Communication by Hiroki Hanada, Keisuke Ishibashi

“…The proposed method was implemented as an open-source Go library and evaluated using the Online Boutique benchmark under various load conditions. …”
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A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…To provide an overview of published works in tourism, we used the systematic mapping study method. Articles were assessed based on various factors, including research topic, conceptual and theoretical descriptions, data sources, data types and sizes, data collection methods, data analysis techniques, and reporting and visualization methods. …”
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Federated Learning for Real-Time Demand Response by Data Centers Toward Energy Efficiency and Privacy Preservation by Mohannad Alhazmi, Alexis Pengfei Zhao, Wanzi Li, Chenlu Yang

“…We evaluate various demand response programs by the proposed method in different scenarios and case studies to demonstrate their efficacy in adapting to energy consumption patterns for optimal energy usage and cost reduction. …”
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Life cycle inventory dataset for energy production and storage technologies: Standardized metrics for environmental modelingZenodo by Elena Rozzi, Paolo Marocco, Marta Gandiglio

“…Unlike existing LCA databases, which are often paywalls, and can have highly detailed but less accessible data, this method provides aggregated and user-friendly parameters that are ready for direct use. …”
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Plant Height Estimation in Corn Fields Based on Column Space Segmentation Algorithm by Huazhe Zhang, Nian Liu, Juan Xia, Lejun Chen, Shengde Chen

“…Addressing these issues through algorithm optimization, parallel processing, and the integration of additional data sources such as multispectral or LiDAR data could enhance its scalability and robustness. …”
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SMART Based Multi-Point Matching Assisted Approximation of Renewable Interconnected Power System by Umesh Kumar Yadav, V. P. Singh, Luigi Fortuna, Umesh Kumar Sahu

“…In the interconnected power systems, the renewable based hydro power generating plants are generally used as one of the effective renewable energy source due to its capability of high response time against the variable loading conditions in comparison with other renewable based energy sources. …”
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Maximum Energy Absorbed from the Persian Gulf Waves Considering Uncertainty in Power Take off Parameters by Mohammad Jalali, Reihaneh Kardehi Moghaddam, Naser Pariz

“…Compared to particle swarm optimization and conventional black hole algorithm, the results of the proposed method indicate enhancements in reference velocity tracking and absorbed power. …”
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Data-Driven Proactive Early Warning of Grid Congestion Probability Based on Multiple Time Scales by Haobo Fu, Ruizhuo Wang, Bingxu Zhai, Yuanzhuo Li, Pengyuan Li, Rui Zhang, Haoyuan He, Siyang Liao

“…In order to solve the problem of a lack of accuracy and predictability of the current scheduling method based on “passive” prediction, a data-driven active warning method based on the probability of grid congestion at multiple time scales is proposed. …”
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Advanced Anomaly Detection in Smart Grids Using Graph Convolutional Networks With Integrated Node and Line Sensor Data by Mahdi Zarif, Ramin Moghaddass

“…Also, an optimization model was developed to find the most likely sources of anomalies across all nodes and edges of the network. …”
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A New Experimental Approach for Hydraulic Fracturing Fluid Damage of Ultradeep Tight Gas Formation by Hui Li, Zhiliang Liu, Ninghong Jia, Xu Chen, Jing Yang, Lele Cao, Ben Li

“…Hydraulic fracturing is the main method for tight gas reservoir development because of its extremely low permeability and porosity. …”
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Microwave-Assisted Valorization of Tomato Pomace for Pectin Recovery: Improving Yields and Environmental Footprint by Nikolina Golub, Emerik Galić, Kristina Radić, Nada Smigic, Ilija Djekić, Sandra Pedisić, Dubravka Vitali Čepo

“…The response surface methodology was used to model the optimization process. The physico-chemical properties of pectin were determined using titrimetric methods and FTIR spectroscopy. …”
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Fiscal transfers and public health services in China: a macro–micro analysis by Xunhua Tu, Jie Yan, Yueyi Wang, Jing Zheng

“…IntroductionThis study innovatively integrates functional performance and systemic capacity dimensions to establish a comprehensive evaluation framework for public health services, addressing critical knowledge gaps in fiscal policy-health system interactions.MethodsUtilizing multi-source spatial panel data from 1,871 Chinese counties (2001-2020), we developed a novel assessment system combining structural equation modeling (SEM) and fuzzy comprehensive evaluation. …”
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