Three-Stage Bidding Strategy of Generation Company Based on Double Deep Q-Network under Incomplete Information Condition by Pengpeng YANG, Beibei WANG, Peng XU, Gaoqin WANG, Yaxian ZHENG

“…The proposed model can make decisions based on multi-dimensional continuous states such as the market clearing price and load levels. Finally, a PJM 5-bus test case is used to compare the rewards obtained by DDQN and traditional Q-learning algorithm. …”
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Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality by Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia, COVID-19 & Air Pollution Working Group

“…By computing their corresponding odds ratios, a clear trend was found for higher frequencies of unfavourable evolution in phenotype C with respect to B, as well as more unfavourable in phenotype B than in A. …”
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A visual positioning method for tunnel boring machines in underground coal mines based on anchor net features by Xuhui ZHANG, Yunkai CHI, Yuyang DU, Junying JIANG, Wenjuan YANG, Youjun ZHAO, Jicheng WAN, Yanqun WANG, Chenhui TIAN

“…Through illumination adjustment while suppressing noise, images with uniform illumination and clear textures were obtained. This contributed to enhanced adaptability of the visual positioning system under complex illumination conditions. …”
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Inferring regulatory networks by combining perturbation screens and steady state gene expression profiles. by Ali Shojaie, Alexandra Jauhiainen, Michael Kallitsis, George Michailidis

“…Extensive computational experiments show that the algorithm performs well in reconstructing the underlying network and clearly outperforms competing approaches that rely only on a single data source. …”
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Species-specific variation in predicted distribution and habitat suitability of phlebotomine sand flies in Italy under different climate change scenarios by Camila González, Johan Manuel Calderón, Ana María López, Ilaria Bernardini, Luigi Gradoni, Marco Pombi, Gioia Bongiorno, Simona Gabrielli

“…On the other hand, predictions for P. perfiliewi don’t show a clear pattern, with an initial decrease and subsequent increase in suitable areas. …”
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ARIMA-Kriging and GWO-BiLSTM Multi-Model Coupling in Greenhouse Temperature Prediction by Wei Zhou, Shuo Liu, Junxian Guo, Na Liu, Zhenglin Li, Chang Xie

“…Optimal prediction accuracy was observed in clear weather (RMSE = 0.71 °C), whereas rainy/snowy conditions showed a 42.9% improvement in MAPE compared to the PSO-BP model. …”
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Predicting Emergency Severity Index (ESI) level, hospital admission, and admitting ward in an emergency department using data-driven machine learning by Steve Agius, Vincent Cassar, Caroline Magri, Wasiq Khan, Dhiya Al-Jumeily Obe, Godwin Caruana, Luke Topham

“…This enhanced description provides a clear roadmap of the model development process, reinforcing the study’s rigor and contribution to advancing machine learning applications in emergency care. …”
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Q-Band MMW Transmission Enabled by Joint Probabilistic Shaping and Precoding With MZM-Based OCS Modulation by Hengxin Yan, Jiaohao Bi, Dong Guo, Xinying Li, Xiaolong Pan, Hongwu Ge, Wei Wu, Chao Yu, Xiangjun Xin, Qi Zhang, Ran Gao, Haipeng Yao, Ze Dong, Zhipei Li, Huan Chang, Sitong Zhou

“…In this letter, we propose a novel and straightforward scheme for Q-band (33–50 GHz) millimeter-wave signal generation enabled by a Mach-Zehnder modulator (MZM)-based joint algorithm, which combines probabilistic shaping (PS) and precoding technology, to enhance the anti-interference ability of the transmission system. …”
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Neural network-based snow depth retrieval from AMSR-2 brightness temperatures using ICESat-2 measurement as ground truth by Sunny Sun-Mack, Yongxiang Hu, Xiaomei Lu, Yan Chen, Ali Omar

“…The trained NN was then applied to AMSR-2 clear-sky wide-swath observations for the 2018–2019 and 2019–2020 Arctic winters, generating daily snow depth estimates across Arctic sea ice.ResultsValidation against independent ICESat-2 data showed strong performance: the NN-based AMSR-2 snow depth retrievals had a near-zero bias and a root mean square error (RMSE) of 10 cm. …”
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Interpretable machine learning for early predicting the risk of ventilator-associated pneumonia in ischemic stroke patients in the intensive care unit by Heshan Cao, Junying Wei, Ping Hua, Songran Yang, Songran Yang

“…The SHAP method offers clear and intuitive explanations for individual risk assessment. …”
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Deep LBLS: Accelerated Sky Region Segmentation Using Hybrid Deep CNNs and Lattice Boltzmann Level-Set Model by Fatema A. Albalooshi, M. R. Qader, Yasser Ismail, Wael Elmedany, Hesham Al-Ammal, Muttukrishnan Rajarajan, Vijayan K. Asari

“…We employ Convolutional Neural Networks (CNNs) to guide the active contour and extract regions of interest. Our algorithm is implemented by leveraging three types of CNNs, namely DeepLabV3+, Fully Convolutional Network (FCN), and SegNet. …”
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A Quantitative Evaluation of UAV Flight Parameters for SfM-Based 3D Reconstruction of Buildings by Inho Jo, Yunku Lee, Namhyuk Ham, Juhyung Kim, Jae-Jun Kim

“…In conclusion, this study clearly demonstrates that hierarchical strategic approaches are essential for optimizing UAV-SfM data collection. …”
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Prevention and Management of Spinal Cord Ischemia After Aortic Surgery: An Umbrella Review by Alexandros G. Brotis, Adamantios Kalogeras, Metaxia Bareka, Eleni Arnaoutoglou, Kostas Spanos, Miltiadis Matsagkas, Kostas N. Fountas

“…The prompt management of spinal cord complications is crucial to optimizing outcomes. No clear treatment algorithm has been universally adopted. …”
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Clinical and epidemiological characteristics of acute flaccid myelitis cases in children registered in the Russian Federation in 2015–2019 by A. K. Shakaryan, I. Kh. Belyaletdinova, S. V. Shakhgildyan, O. E. Ivanova, T. P. Eremeeva, A. P. Gmyl, O. Yu. Baykova, A. N.-I. Mustafina, L. I. Kozlovskaya

“…We provide an analysis of 18 cases of acute flaccid myelitis detected in the Russian Federation in the period from 2015 to 2019. A clear seasonality of the disease from July to November was noted. …”
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The Current Development Status of Agricultural Machinery Chassis in Hilly and Mountainous Regions by Renkai Ding, Xiangyuan Qi, Xuwen Chen, Yixin Mei, Anze Li

“…By establishing these performance benchmarks and focusing on critical technical priorities—including terrain-adaptive mechanism upgrades, energy-drive coordination, and precision leveling—this study provides a clear roadmap for the development of modular and intelligent chassis systems specifically designed for China’s hilly and mountainous regions, thereby addressing current bottlenecks in agricultural mechanization.…”
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Comparative analysis of endometrial gland imaging and pinopode detection for assessing endometrial receptivity by Min-bo Zhu, Bei-lei Chen, Meng Cen, Li-ping Chen, Zheng Shi

“…However, image recognition technology has clear economic and promotional advantages. Clinical trial number Not applicable.…”
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Microsatellite Markers Determine the Genetic Structure and Diversity of Landraces of Quinoa from Ayacucho, Peru by Germán De la Cruz, Carla L. Saldaña, Francisco Menéndez, Edgar Neyra, Carlos I. Arbizu

“…Principal coordinate analysis, similar to a dendrogram using the UPGMA clustering algorithm, showed that quinoa from Ayacucho is grouped into three clusters without a clear geographic component. …”
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The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study by Pranav Parekh, Richard Oyeleke, Tejas Vishwanath

“…While biopsy slides provide clear information on lesion depth, it is an emerging domain to find quick and noninvasive methods to estimate depth, particularly based on 2D images. …”
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The Evolution of Wisteria Vein Mosaic Virus: A Case Study Approach to Track the Emergence of New Potyvirus Threats by Massimiliano Morelli, Giusy D’Attoma, Pasquale Saldarelli, Angelantonio Minafra

“…A PhyML phylogenetic analysis, supported by clustering algorithm validation, identified a clear separation between two phylogroups. …”
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Design a Robust DDoS Attack Detection and Mitigation Scheme in SDN-Edge-IoT by Leveraging Machine Learning by Habtamu Molla Belachew, Mulatu Yirga Beyene, Abinet Bizuayehu Desta, Behaylu Tadele Alemu, Salahadin Seid Musa, Alemu Jorgi Muhammed

“…Existing studies on DDoS detection in SDN-IoT networks often suffer from inefficient detection accuracy due to poor algorithm design and latency issues arising from deploying models in the control plane. …”
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