Adaptive Determination of Optimum Switching Frequency in SiC-PWM-Based Motor Drives: A Speed-Dependent Core Loss Correction Approach by Sepideh Amirpour, Sima Soltanipour, Torbjorn Thiringer, Pranav Katta

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Prediction of the Remaining Useful Life of Lithium–Ion Batteries Based on Mode Decomposition and ED-LSTM by Bingzeng Song, Guangzhao Yue, Dong Guo, Hanming Wu, Yonghai Sun, Yuhua Li, Bin Zhou

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Motor imagery EEG signal classification using novel deep learning algorithm by Sathish Mathiyazhagan, M. S. Geetha Devasena

“…With better results, the proposed model attained superior performance compared to existing methods such as CNN, LSTM, and BiLSTM algorithms.…”
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A study on power supply restoration strategy considering flexible resource regulation ability by Xuefeng Liu, Fuguo Jin, Feng Guo, Jiwei Yang, Xiaoyi Qian, Dejin Feng

“…Last, the IEEE 33‐bus system proves that this method can quickly find the optimal path of power supply recovery and effectively reduce the power loss rate of essential loads, thus improving the toughness of urban distribution networks.…”
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Improving Energy Efficiency with Energy Recovery for Propylene Production by Andi Nadhif Athallah Hurairah, Danu Pasa Arkajaya, Tenisyah Ramadhani, Virgi Achmad Fahrezi

“…This study focuses on optimizing energy consumption by integrating heat recovery and reducing the reliance on external energy sources. …”
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Fractional-Order Swarming Intelligence Heuristics for Nonlinear Sliding-Mode Control System Design in Fuel Cell Hybrid Electric Vehicles by Nabeeha Qayyum, Laiq Khan, Mudasir Wahab, Sidra Mumtaz, Naghmash Ali, Babar Sattar Khan

“…This paper presents a DSMC strategy enhanced with Robust Uniform Exact Differentiators for FCHEV energy management. To optimally tune DSMC parameters, reduce chattering, and address the limitations of conventional methods, a hybrid metaheuristic framework is proposed. …”
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Sensitivity of biological sewage disposal efficiency functional to parameters of biogen concentration dynamics model by Е. S. Zhmenya, N. S. Buzalo

“…A practical example of the method application for the optimal control problem for an aeration tank (an element of the sewage treatment plant for the biological sewage treatment) is considered.Discussion and Conclusions. …”
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Soil moisture retrieval and spatiotemporal variation analysis based on deep learning by Zihan Zhang, Jinjie Wang, Jianli Ding, Jinming Zhang, Liya Shi, Wen Ma

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A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources by Nikolaos Savvopoulos, Nikos Hatziargyriou, Hannu Laaksonen

“…This paper presents a novel optimization-based method to estimate the time-dependent flexibility at a primary distribution substation while accounting for the uncertainty of renewable generation. …”
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On the issue of emergency medical service transportation support: relevance and research directions by Igor M. Chelyshkov, Artem I. Zhukov, Ivan A. Asmanov

“…The study proposes research directions and development approaches to enhance EMS efficiency, including differentiated optimization strategies based on service type (emergency vs. urgent care), queuing theory applications, station location optimization, advanced routing and dispatching methods, and artificial intelligence/neural network implementations. …”
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Dual Function Radar and Communication Waveform Design Based on Sub-pulse Hybrid Modulation by Yu LIU, Junhao ZHANG, Xue YAO, Xianxiang YU, Guolong CUI

“…The proposed SHM method utilizes time-, spectral-, and polarization-domain features from inter-subpulse and intra-subpulse sources to convey information. …”
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A novel and easy‐to‐implement modulation scheme for reducing modulation complexity in modular multilevel converter by Zichen Wang, Zhijie Liu, Ke‐Jun Li, Jinxin Dou, Zhonglin Guo, Xiaoxue Ge

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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…Finally, eight types of LCZ landscape pattern indices are preliminarily selected at the type and landscape scale levels, and the optimal research size is obtained using the moving window method in Fragstats 4.2 software. …”
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Designing a new tomato leaf disease classification framework using ran-based adaptive fuzzy c-means with heuristic algorithm model by Kanti Rongali Divya, Rao Gottapu Sasibhushana, Aruna Singam

“…Therefore, the model suggests advancement in predictive capabilities over traditional methods.…”
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Impacts of flexible renewable hybrid system with electric vehicles considering economic reactive power management on microgrid voltage stability and operation by Huan Xie, Ihab Omar, Husam Rajab, Rishabh Chaturvedi, Abdullah Abed Hussein, Narinderjit Singh Sawaran Singh, Jaber M. Asiri, Nimesh Raj, Tannmay Gupta, Ahmad Alizadeh

“…A single-objective optimization approach uses weighted functions alongside a fuzzy decision-making method to achieve a compromised solution. …”
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Synthesis and characterization of original fluorinated bis-cyclic carbonates and xanthates from a fluorinated epoxide by Alaaeddine, Ali, Ladmiral, Vincent, El Malti, Wassim, Haydar, Lolwa, Caillol, Sylvain, Améduri, Bruno

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Research on fusion prediction model of wind speed, gas and dust concentration under wind flow control in fully-mechanized heading face by Xiaoyan GONG, Hao ZOU, Zhuangzhuang LIU, Long CHEN, Haoran FU, Yuheng SUN, Hao LI, Xinyu WANG, Huming NIU

“…TensorFlow framework is used to build a multi-source data fusion neural network prediction model. …”
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Spatio-Temporal Characteristics and Driving Forces of Landscape Ecological Risks in Highly Urbanized Areas: A Case Study of Suzhou City by Lingyue LU, Dawei SHAO, Dianming WU

“…The formation mechanism, spatio-temporal heterogeneous driving effect and scale response law of LER in highly urbanized areas still need to be systematically explored.MethodsUtilizing multi-source data spanning the period from 1995 to 2020, including Landsat TM/ETM imagery, digital elevation model (DEM) and NASA datasets, this research focuses on exploring the characteristics of spatio-temporal variability of LER and corresponding drivers in Suzhou at the optimal scale, utilizing the LER evaluation model and the geographically and temporally weighted regression (GTWR) framework.Results1) The landscape pattern of Suzhou City is scale-dependent, with significant variations in the landscape pattern index for each land type at the optimal scale. …”
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Time-Series Forecasting of PM_2.5 and PM₁₀ Concentrations Based on the Integration of Surveillance Images by Yong Wu, Xiaochu Wang, Meizhen Wang, Xuejun Liu, Sifeng Zhu

“…Here we present a dual-channel deep learning model, integrating surveillance images and multi-source numerical data for air quality forecasting. …”
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Geometric Accuracy Design and Tolerance Allocation of Precision Horizontal Machining Centers by Lina Wang, Xingxing Liu, Wenjie Tian, Dawei Zhang

“…This paper conducts a comprehensive investigation into the tolerance optimization allocation method for geometric accuracy in precision horizontal machining centers utilizing interval theory. …”
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