Adaptive overcurrent protection considering fault current limiters effect by R. A. Mahmoud, K. G. Ghaly, S. A. Hasan

“…The proposed algorithm includes two modules: (1) a Z-score algorithm based on both the mean and the standard deviation values of the input current data, which is used to detect fault conditions, and (2) tripping characteristic curves based on the current Mean Ratio, which are applied to estimate the appropriate operating time of the adaptive OCR. …”
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Machine Learning in Maritime Safety for Autonomous Shipping: A Bibliometric Review and Future Trends by Jie Xue, Peijie Yang, Qianbing Li, Yuanming Song, P. H. A. J. M. van Gelder, Eleonora Papadimitriou, Hao Hu

“…Through the review, we found that maritime safety machine learning methods are evolving toward a systematic and comprehensive direction, and the integration with AI and human interaction may be the next bellwether. …”
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Does advancement in marker-less pose-estimation mean more quality research? A systematic review by Shivam Bhola, Shivam Bhola, Hyun-Bin Kim, Hyeon Su Kim, BonSang Gu, Jun-Il Yoo, Jun-Il Yoo

“…Despite the emergence of state-of-the-art keypoint-detection algorithms, the extent to which these tools are employed and the nature of their application in scientific research has yet to be systematically documented. …”
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Estimation of Moderate-Resolution Snow Depth in Xinjiang With Enhanced-Resolution Passive Microwave and Reanalysis Data by Machine Learning Methods by Yongchang Yan, Yan Qin, Yongqiang Liu, Yubao Qiu, Yang Liu

“…The integration of multisource data into the passive microwave retrieval of snow depth (SD) is vital for accurately capturing large-scale distribution of SD. …”
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Utility-Based Joint Routing, Network Coding, and Power Control for Wireless Ad Hoc Networks by Kaiqian Ou, Yinlong Xu, Xiumin Wang, Wang Liu

“…To evaluate routing optimality, we adopt expected utility as a metric, which integrates energy cost, reliability, and benefit value. …”
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A multiscale brain emulation-based artificial intelligence framework for dynamic environments by Yong Xie

“…Abstract Achieving general artificial intelligence (AGI) has long been a grand challenge in the field of AI, and brain-inspired computing is widely acknowledged as one of the most promising approaches to realize this goal. …”
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Prediction of microbe-drug associations using a CNN-Bernoulli random forest model by Zihao Song, Qingnuo Li, Jincheng Zhao, Qinggang Bu, Zekang Bian, Jia Qu

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Prescribed-Time Cooperative Output Regulation by Bounded Observer-Based Time-Varying Protocols by Jiaxin Zhou, Yuan Tian, Yan Li, Sidong Wu

“…This work lays a theoretical groundwork for complex network systems, such as the cooperative combat scenarios of multiple unmanned aerial vehicles and coordinated attacks of multiple missiles. The practical value of the proposed algorithm is verified through two simulation cases of a linear multi-agent system with one leader and four followers, showcasing its efficacy and potential in real applications.…”
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Toward global rooftop PV detection with Deep Active Learning by Matthias Zech, Hendrik-Pieter Tetens, Joseph Ranalli

“…Recent advances in Deep Active Learning offer the opportunity to significantly reduce the number of required annotated images by intelligently selecting the images to label next based on their informative value for the model. In this study, we compare different Deep Active Learning algorithms using a variety of datasets from different regions and compare different model training variants. …”
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Exploring entropy measures with topological indices on colorectal cancer drugs using curvilinear regression analysis and machine learning approaches. by Maria Fazal, Salma Kanwal, Muhammad Taskeen Raza, Asima Razzaque

“…A topological index is a numerical value derived from the structure of a molecule or graph that provides useful information about the molecule's physical, chemical, or biological properties. …”
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Collaborative carbon emission peak actions in urban agglomerations: multi-agent reinforcement learning analysis of the urban agglomerations of Beijing-Tianjin-Hebei and Yangtze Riv... by Bingbing Zhao, Min Deng, Wei-Zhen Lu, Kaiqi Chen

“…The socioeconomic actions of cities within an urban agglomeration are coordinated using the QMIX algorithm, which employs value function factorization to integrate local decisions and feedback on reduced emissions. …”
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A combined model for short-term traffic flow prediction based on variational modal decomposition and deep learning by Chuanxiang Ren, Fangfang Fu, Changchang Yin, Li Lu, Lin Cheng

“…The predicted value of traffic flow modal components by spatio-temporal feature model are stacked to obtain the ultimate traffic flow prediction results. …”
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Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities by Agboola Benjamin Alao, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, Argenis Bilbao

“…To address these limitations, the proposed model integrates an Adaptive Neuro-Fuzzy Inference System (ANFIS) with a multi-input multi-output (MIMO) prediction algorithm, utilizing historical temperature and irradiance data for accurate and efficient forecasting. …”
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Application of Deep Learning Techniques in Uranium Microparticle Fission Track Detection by ZHAO Xiong, REN Fangda, SHEN Yan

“…After cooling, the samples were transferred to a microscope to obtain the original images of uranium microparticle fission tracks. The YOLOv5 algorithm, a deep learning approach, was employed as the foundational network model. …”
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Resource allocation for coexistence of eMBB and bursty URLLC based on queueing with preemption by Wei Guo, Kai Liang, Yuewen Song, Xiaoli Chu, Gan Zheng, Kai-Kit Wong

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Optimal Design Parameters for Supercritical Steam Power Plants by Victor-Eduard Cenușă, Ioana Opriș

“…Schemes with eight and nine preheaters have an average optimum value of 0.178 ± 0.021 and 0.220 ± 0.011, respectively. …”
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Monitoring method⁃based guided wave for hole-edge crack in key attachment structure of helicopter by WANG Huaji, SHI Liming, DAI Yushan, QIU Lei

“…Subsequently, a damage alarm threshold was established using a mean-value method to facilitate damage detection. Furthermore, an improved delay-and-sum imaging algorithm was developed based on the specific configuration of the attachment lug structure to optimize probability distribution and achieve precise crack localization. …”
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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…Fine-grained factor mining used the K-means clustering algorithm to capture more detailed semantic topic-level edge factors from graph textual data. …”
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Prediction of cardiovascular diseases based on GBDT+LR by Zengxiao Chi, Li Liu, Liqin Yi, Lin Shi

“…The experimental results show that GBDT+LR outperforms other models in multiple evaluation indicators such as accuracy, precision, specificity, F1 value, MCC, AUC, and AUPR. The cardiovascular disease prediction model using the GBDT+LR algorithm has the best prediction performance. …”
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Optimisation of Criminal Data Clustering Model using Information Gain by Prih Diantono Abda’u, Ratih Hafsarah Maharrani, Muhammad Nur Faiz, Oman Somantri

“…The results indicate that the K-Means algorithm outperforms the other two methods, achieving the best clustering quality with an optimal number of clusters (k = 6) and the lowest DBI value.…”
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