Improved genetic algorithm based on greedy and simulated annealing ideas for vascular robot ordering strategy. by Zixi Wang, Yubo Huang, Yukai Zhang, Yifei Sheng, Xin Lai, Peng Lu

“…Traditional heuristic methods, though intuitive, often fail to achieve global optimization. …”
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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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Precision in Tear Fluid Biomarker Discovery: Quantitative Proteomic Profiling of Small-Volume, Individual Samples Using Capillary Tube Collection by Kyla Frenia, Yunxiang Fu, Maria A. Beatty, Kathleen C. Garwood, Jeremy Kimmel, Veena Raiji, Dipanjan Pan, David Bartlett, Leanne T. Labriola, Kunhong Xiao

“…Schirmer strips remain the most common collection method due to existing LC-MS/MS protocol optimization. …”
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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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Efficient Calculation and Component Analysis of Fault Current in MMC-HVDC Grid by Lixu Chen, Jun Yan, Xiufang Jia, Chengyong Zhao, Jianzhong Xu

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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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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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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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Analysis of the Structure of Nonlinear Distortions at Baseband Pulse Impacts Using Behavioral Nonlinear Models of Electrical Circuits by E. V. Semyonov

“…This, as a result, complicates the optimization of devices.Aim. To develop an approach capable of determining the contribution of various sources to the nonlinear distortion of baseband pulse signals.Materials and methods. …”
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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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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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Production of Single-Cell Oil from a Local Isolate Bacillus subtilis Using Palm Fronds by Wassan Dawood Musa Al-Obeidi, Dhafer F. Al-Rawi, Loay H. Ali

“…Submerged cultures were used to improve SCO production, with optimal conditions determined as pH 7, a temperature of 30°C, carbon source concentration of 3 g/100 ml, inoculum volume of 3 ml/100 ml, inoculum density of 20 × 107 cells, and an incubation period of 72 hours. …”
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images by M. Eliazer, Sibi Amaran, K. Sreekumar, A. Vikram, Gyanendra Prasad Joshi, Woong Cho

“…Finally, the enhanced coati optimization algorithm (ECOA) method is implemented for the hyperparameter tuning of the KELM method, which results in a higher classification process. …”
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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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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…ObjectiveThis study aims to develop a robust and generalizable deep learning framework for detecting misinformation related to the prolonged impacts of COVID-19 by integrating pretrained language models (PLMs) with an innovative fuzzy rank-based ensemble approach. MethodsA comprehensive dataset comprising 566 genuine and 2361 fake samples was curated from reliable open sources and processed using advanced techniques. …”
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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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Research on Parameter Distribution Features of Photovoltaic Array under the Cover and Shadow Shading Conditions by Honglu Zhu, Cao Yu, Lingxing Lu, Weiwei Lian, Jianxi Yao, Yang Hu

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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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