Hybrid Deep Neural Network-Based Generation Rescheduling for Congestion Mitigation in Spot Power Market by Anjali Agrawal, Seema N. Pandey, Laxmi Srivastava, Pratima Walde, Saumya Singh, Baseem Khan, R. K. Saket

“…In a day ahead or spot power market, generation rescheduling (GR) is one of the most prominent techniques to be adopted by the system operator (SO) to release congestion. In this paper, a novel hybrid Deep Neural Network (NN) is developed for projecting rescheduled generation dispatches at all the generators. …”
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A K‐band eight‐element reconfigurable phased‐array receiver with high Tx‐band rejection by Zhuoheng Xie, Shi Chao Jin, Jia Xing Sun, Dunge Liu, Bo Huang, Yuqian Yang, Chenyu Mei, Jinhuai Su, Jun Huang, Xiulong Wu, Lei Zhang

“…In addition, an active vector‐modulated phase shifter is designed to meet the demands of precise phase shifts of phased‐array systems. Based on the proposed method, a K‐band eight‐element reconfigurable phased‐array receiver operating from 17.7 to 21.2 GHz is designed and measured. …”
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Prediction of State-of-Health and Remaining-Useful-Life of Battery Based on Hybrid Neural Network Model by Le Thi Minh Lien, Vu Quoc Anh, Nguyen Duc Tuyen, Goro Fujita

“…However, when the battery reaches its end-of-life, it becomes more unstable, leading to a higher probability of system operation failure and safety accidents. Therefore, to accurately predict the State of Health (SOH) and the Remaining Useful Life (RUL) of a battery system, a prediction method is proposed in this paper based on Empirical Mode Decomposition (EMD), Bidirectional Long Short-Term Memory (BiLSTM), Convolutional Neural Network (CNN), and Attention Mechanism (AM). …”
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Perbandingan Pengaturan tentang Production Sharing Contract Bidang Pertambangan Perspektif Teori Keadilan by Marnalom Marnalom, Syafrinaldi Syafrinaldi, Muhammad Fais Mufidi

“…The research uses the normative legal research method and legal principles rooted in specific areas of the legal system, initially by determining the rules defined in the relevant legislation. …”
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Ocean Surface Wind Field Retrieval Simultaneously Using SAR Backscatter and Doppler Shift Measurements by Yulei Xu, Kangyu Zhang, Liwei Jing, Biao Zhang, Shengren Fan, He Fang

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Compensation for vibration signal power variance when changing equipment speed mode by D. A. Kechik

“…Preliminary compensation of vibration power variation caused by variable operation speed has proved to be effective for improving vibrational diagnostic system results. …”
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Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors by Chibuike Chiedozie Ibebuchi

“…Hourly DAEP data from the California Independent System Operator (January 2017 to July 2023) were integrated with exogenous and engineered endogenous features. …”
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Short-Term Prediction of Ship Heave Motion Using a PSO-Optimized CNN-LSTM Model by Guowei Li, Gang Tang, Jingyu Zhang, Qun Sun, Xiangjun Liu

“…When ships conduct offshore operations in the ocean, they are subject to disturbances from natural factors such as sea breezes and waves. …”
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A novel fault diagnosis methodology in modular multilevel converters to enhance reliability and resilience by Moulay Kheireddine, Imad Merzouk, Ahmed Hafaifa, Hegazy Rezk, Ahmed F. Mohamed

“…Despite its advantages, the MMC is vulnerable to short-circuit issues (SC), particularly in insulated gate bipolar transistors (IGBTs), This may result to severe operational disruptions if not promptly addressed. The article in question suggests a novel fault diagnosis methodology for MMCs that merges fault detection and localization to enhance system reliability. …”
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Enhancing solar irradiance prediction precision: A stacked ensemble learning-based correction paradigm by Bo Tian, Ningbo Wang, Yuanxin Lin, Shuangquan Shao

“…This work holds substantial value for optimizing solar power system operations and advancing renewable energy utilization.…”
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A Novel Statistical Approach to Obtain the Best Visibility Slice in MRI Sequence of Brain Tumors by Hassan Al-Yassin, Mohammed A. Fadhel, Omran Al-Shamma

“…A private dataset of twenty MRI scans (sequences) was used for testing and evaluating the system. …”
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Distributed photovoltaic cluster output monitoring method based on time series data acquisition by Hua Ye, Xuegang Lu, Wei Zhang, Fei Cheng, Ying Zhao

“…Abstract The data processing efficiency of distributed photovoltaic cluster output monitoring needs to be improved, improving the prediction effect of distributed photovoltaic power station cluster can effectively improve the security of power system operation and reduce the difficulty of power grid management. …”
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High‐Impulse, Modular, 3D‐Printed CubeSat Electrospray Thrusters Throttleable via Pressure and Voltage Control by Hyeonseok Kim, Luis Fernando Velásquez‐García

“…Compared to pressure control, modulating thrust via voltage control simplifies system design, eliminating the need for complex valves and enabling a wider throttle range. …”
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Combined State-of-Charge Estimation Method for Lithium-Ion Batteries Using Long Short-Term Memory Network and Unscented Kalman Filter by Long Pu, Chun Wang

“…The state of charge (SOC) of lithium-ion batteries (LIBs) is a pivotal metric within the battery management system (BMS) of electric vehicles (EVs). An accurate SOC is crucial to ensuring both the safety and the operational efficiency of a battery. …”
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A Heterogeneous Image Registration Model for an Apple Orchard by Dongfu Huang, Liqun Liu

“…First, a VGG16 network was included as the encoder in the feature point encoder system, and the positional encoding was embedded into the network. …”
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A Two-Class Stochastic Network Equilibrium Model under Adverse Weather Conditions by Chenming Jiang, Linjun Lu, Junliang He, Caimao Tan

“…Adverse weather condition is one of the inducements that lead to supply uncertainty of an urban transportation system, while travelers’ multiple route choice criteria are the nonignorable reason resulting in demand uncertainty. …”
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An Adaptive Neural Network Fuzzy Sliding Mode Controller for Tracking Control of Deep-Sea Mining Vehicles by Shidong Wang, Zida Shan, Jialuan Xiao, Junjun Cao, He Zhang, Nan Sun

“…To validate the ARFSMC’s performance, three numerical simulation cases were conducted, each designed to reflect an expected operation scenario of the HMV, through which the tracking performance of the ARFSMC under time-varying system inertia is validated and benchmarked against conventional sliding mode control (CSMC) and double-loop sliding mode control (DSMC). …”
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Enhanced CNN-BiLSTM-Attention Model for High-Precision Integrated Navigation During GNSS Outages by Wulong Dai, Houzeng Han, Jian Wang, Xingxing Xiao, Dong Li, Cai Chen, Lei Wang

“…The Global Navigation Satellite System (GNSS)/Inertial Navigation System (INS) integrated navigation technology is widely utilized in vehicle positioning. …”
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Wavelet Multiresolution Analysis-Based Takagi–Sugeno–Kang Model, with a Projection Step and Surrogate Feature Selection for Spectral Wave Height Prediction by Panagiotis Korkidis, Anastasios Dounis

“…In addition, we introduce a projection step, to further refine the approximation capabilities of the resulting predictive system. The proposed methodology is applied to a real-world time series pertaining to spectral wave height and obtained from the Poseidon operational oceanography system at the Institute of Oceanography, part of the Hellenic Center for Marine Research. …”
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EFFICIENCY AND SAFETY OF ROBOT-ASSISTED THORACOSCOPIC LOBECTOMIES WHEN MANAGING PULMONARYTUBERCULOSIS by P. K. Yablonsky, G. G. Kudryashov, I. V. Vasilyev, A. O. Avetisyan, A. D. Ushkov, O. P. Sokolova

“…The frequency of post-operative surgical complications made 25% [6].Conclusion. …”
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