Advanced signal processing algorithm for fault classification and localization in VSC-HVDC based Offshore wind farm by Rehana Perveen

“…This work provides real-time validation on the RTDS platform by the use of S-transform, Ensemble Empirical Mode Decomposition (EEMD), and SVM, for quick and reliable detection of AC/DC faults. Next for classification, features extracted through intrinsic mode function decomposed by EMD and EEMD and classified distinctly using support vector machine techniques. …”
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Persistence of Reptile DNA in a Terrestrial Substrate: A Case Study Using the Eastern Indigo Snake by Leah R. N. Samuels, Houston C. Chandler, Michelle Hoffman, John A. Kronenberger, Michele Elmore, Robert Aldredge, Benjamin S. Stegenga, James E. Bogan Jr., Mark A. Davis, Stephanie Hertz, Michael K. Schwartz, Taylor Wilcox

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Big data for imaging assessment in glaucoma by Douglas R. da Costa, Felipe A. Medeiros

“…Leveraging vast data sources, these technologies promise to enhance clinical practice and public health outcomes by enabling earlier disease detection, progression forecasting, and deeper understanding of underlying mechanisms. …”
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Cooperative Spectrum Sensing for Cognitive Heterogeneous Networking Using Iterative Gauss-Seidel Process by Haleh Hosseini, Kaamran Raahemifar, Sharifah Kamilah Syed Yusof, Alagan Anpalagan

“…Heterogeneous networks with dense deployment of small cells can employ cognitive features to efficiently utilize the available spectrum resources. Spectrum sensing is the key enabler for cognitive radio to detect the unoccupied channels for data transmission. …”
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Global Trends and Empirical Metrics in the Evaluation of Code Smells and Technical Debt: A Bibliometric Study by Ronald Henry Diaz Arrieta, Byron Leoncio Diaz Monroy, Luis Javier Castillo Heredia, Alexandra Gabriela Valenzuela Cobos

“…Among the critical factors that affect these attributes are code smells, indicators of structural deficiencies in the source code, which, although they do not directly affect functionality, significantly increase technical debt and maintenance costs. …”
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Soil methane emission suppression control using unmanned aircraft vehicle swarm application of biochar mulch - A simulation study by Di An, Derek Hollenbeck, Kai Cao, YangQuan Chen

“…In this paper, we present a soil methane emissions suppression approach using swarms of unmanned aerial vehicles (UAVs), by spreading biochar mulch on top of the detected methane emissions area/source. Soil microorganisms can produce methane and release it into the atmosphere causing climate change such as global warming. …”
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Automated hypocenter determination of tectonic tremors in the Nankai subduction zone using convolutional neural networks combined with semblance analysis by Amane Sugii, Yoshihiro Hiramatsu, Takahiko Uchide, Kazutoshi Imanishi

“…The trained CNN model achieved high accuracy, with both precision and recall exceeding 97%, and correctly detected 96% of distant earthquakes. The probability of tectonic tremor as a function of the signal-to-noise ratio (SNR) increased steeply from 10 to 90% at an SNR of 4. …”
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Insights into the Driving Factors of Methane Emission from Double-Season Rice Field Under Different Fertilization Practices in South China by Jin Zheng, Yusheng Lu, Peizhi Xu, Kaizhi Xie, Changmin Zhou, Yaying Li, Haoyang Geng, Qianyuan Wang, Wenjie Gu

“…Paddy fields are the main agricultural source of greenhouse gas methane (CH₄) emissions. …”
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Multimodal AI and Large Language Models for Orthopantomography Radiology Report Generation and Q&A by Chirath Dasanayaka, Kanishka Dandeniya, Maheshi B. Dissanayake, Chandira Gunasena, Ruwan Jayasinghe

“…In addition, the proposed solution includes a question-answering platform in the native Sinhala language, alongside the English language, designed to function as a chatbot for dental-related queries. We hope that this platform will eventually bridge the gap between dental services and patients, created due to a lack of human resources. …”
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Multifaceted roles of Galectins: from carbohydrate binding to targeted cancer therapy by Nan Zhang, Qiao Liu, Daihan Wang, Xiaoyun Wang, Zhaoping Pan, Bo Han, Gu He

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Standard: human liver-on-a-chip by Haitao Liu, Xu Zhang, Yaqing Wang, Min Zhang, Peng Wang, Jing Shang, Zhongqiang Li, Likun Gong, Xin Xie, Dongyang Liu, Jingbo Pi, Xinghua Gao, Xianliang Li, Wei Ding, Dianbing Wang, Yun Long, Lan Wang, Song Li, Xingchao Geng, Pingkun Zhou, Wanjin Tang, Xian’en Zhang, Chunying Chen, Shengli Yang, Jianhua Qin

“…However, the lack of standardized definitions, structural designs, cell sources, model constructions, and functional validations has posed challenges to their widespread translational applications. …”
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Energy filtering enables macromolecular MicroED data at sub-atomic resolution by Max T. B. Clabbers, Johan Hattne, Michael W. Martynowycz, Tamir Gonen

“…While direct electron detection essentially eliminates the read-out noise during MicroED data collection, other sources of noise remain and limit the measurement of faint high-resolution reflections. …”
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REVISITING THE ORGANIZATION OF A CLINICAL (MEDICAL) PSYCHOLOGIST WORK AT THE FIRST STAGE OF MEDICAL REHABILITATION IN THE CONDITIONS OF THE INTENSIVE CARE UNIT (ICU) BY THE EXAMPLE... by Алена Валентиновна Слекишина, Марина Григорьевна Жестикова, Светлана Станиславовна Зиборова

“…There is currently a pressing need to devise a way of neurophycological diagnostics of higher mental functions which would allow to detect cognitive impairment in patients in the ICU during the first stages of medical rehabilitation taking into account working hours constraints.…”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…Multimodal neural network systems for analyzing heterogeneous dermatological data, using the proposed optimization algorithms, can be applied as a tool for auxiliary medical diagnostics, which will reduce the consumption of financial and labor resources involved in the medical industry, as well as increase the chance of early detection of pigmentary oncopathologies.…”
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3D Seismic Attribute Conditioning Using Multiscale Sheet-Enhancing Filtering by Taiyin Zhao, Yuehua Yue, Tian Chen, Feng Qian

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Logistical constraints lead to an intermediate optimum in outbreak response vaccination. by Yun Tao, Katriona Shea, Matthew Ferrari

“…The latter may also result in significantly larger outbreaks, thus suggesting a benefit of allocating resources to timely outbreak detection and response.…”
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Ensemble learning driven Kolmogorov-Arnold Networks-based Lung Cancer classification. by Abdul Rahaman Wahab Sait, Eid AlBalawi, Ramprasad Nagaraj

“…Early Lung Cancer (LC) detection is essential for reducing the global mortality rate. …”
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The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

“…Firstly, the system can proactively capture and integrate heterogeneous surveillance data from multiple sources. Based on these multi-channel data, users can select appropriate warning indicators and AI models to automatically trigger early warnings. …”
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Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy by Yongmei Hao, Zhanghao Du, Juncheng Jiang, ZhiXiang Xing, Xinming Yan, Shuli Wang, Yongchao Rao

“…Pipeline leak detection has always been a relatively difficult technical problem; especially in urban pipeline leak detection, there are still many problems to be solved. …”
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AiWatch: A Distributed Video Surveillance System Using Artificial Intelligence and Digital Twins Technologies by Alessio Ferone, Antonio Maratea, Francesco Camastra, Angelo Ciaramella, Antonino Staiano, Marco Lettiero, Angelo Polizio, Francesco Lombardi, Antonio Junior Spoleto

“…In this context, the AiWatch system introduces digital twin (DT) technology in a modern video surveillance architecture to facilitate advanced analytics through the aggregation of data from various sources. By exploiting AI and DT to analyze the different sources, it is possible to derive deeper insights applicable at higher decision levels. …”
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