SINDy and PD-Based UAV Dynamics Identification for MPC by Bryan S. Guevara, José Varela-Aldás, Daniel C. Gandolfo, Juan M. Toibero

“…Both methodologies leverage data-driven strategies to construct compact and interpretable models from experimental data, capturing significant nonlinearities with high fidelity. …”
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Satellite Clear‐Sky Observations Overestimate Surface Urban Heat Islands in Humid Cities by Qiquan Yang, Yi Xu, Dawei Wen, Ting Hu, TC Chakraborty, Yue Liu, Rui Yao, Shurui Chen, Changjiang Xiao, Jie Yang

“…These discrepancies can be attributed mainly to the increased missing LST data caused by cloud enhancement in urban areas. …”
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Analysis and spatial prediction of water retention curves in two types of soil by Diego L. Cortés-Delgadillo, Jesús H. Camacho Tamayo, Ramón Giraldo

“…The curves were subjected to geostatistical functional analysis (GF), and the applicability of this method was evaluated by obtaining the usable water table (LAA) and comparing the results with experimental data obtained using traditional methods. …”
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Restoration of multi-channel signal loss using autoencoder with recursive input strategy by Jaejun Lee, Yonggyun Yu, Hogeon Seo

“…Experiments on multivariate sensor datasets show that the proposed method significantly outperforms the one-time autoencoder restoration method and maintains robust performance across diverse datasets and missing data scenarios. This approach provides a scalable and adaptable solution to ensure data integrity in complex sensor networks, enabling improved reliability and operational efficiency in industrial and technological applications.…”
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Analytical techniques and software for the study of intragroup metric variation using principal component analysis by Andrej Alexeevich Evteev, Nikolai Evgenievich Staroverov, Nikolai Nikolaevich Potrakhov

“…Some male individuals from Zalavar display distinct craniofacial features similar to those found in a South Siberian sample. Potential applications of these techniques and software are not restricted to cranial measurements but can be used for exploring any type of continuously varying data. …”
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Toward an Onboard Anomaly Detection and Identification Method for Satellites by Shun Katsube, Hironori Sahara

“…This study proposes a novel onboard satellite monitoring method that detects anomalies, identifies their types, and locates specific abnormal channels within housekeeping data. The proposed method employs the Mahalanobis distance for anomaly detection owing to its low computational cost, making it suitable for onboard applications. …”
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Reverb and Noise as Real-World Effects in Speech Recognition Models: A Study and a Proposal of a Feature Set by Valerio Cesarini, Giovanni Costantini

“…Although the MFCC method is the standard and performs well on clean training data, it shows a significant tendency to misclassify the main speaker in real-world scenarios, which is a critical limitation for modern user-centric verification applications. …”
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Quantum Computing and the Law: Navigating the Legal Implications of a Quantum Leap by Kasim Balarabe

“…This article investigates the key legal implications of quantum computing, focusing on intellectual property, data security, regulation, and ethical considerations. …”
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A Reduced-Order Model of Lithium–Sulfur Battery Discharge by Noushin Haddad, Hosam K. Fathy

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A new representation in genetic programming with hybrid feature ranking criterion for high-dimensional feature selection by Jiayi Li, Fan Zhang, Jianbin Ma

“…Selecting features for high-dimensional data is challenging due to the large search space. …”
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‘A Mulligan’s stew’: educational preparation for today’s academic library liaisons in the humanities and social sciences by Rachel Fleming-May, Wade Bishop, Caroline Villarreal

“…This short paper reports on findings from a survey of academic librarians with liaison responsibilities to college and university social sciences and humanities departments, with particular attention to newer responsibilities related to research data management and scholarly communications, areas less commonly associated with humanities and humanistic social sciences liaison work. …”
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Designing a Minimum Dataset for the Cow's Milk Protein Allergy in Children: Identifying and Evaluating the Key Factors in Managing, Controlling and Monitoring the Cow's Milk Protei... by Farzaneh Asadilari, Sadrieh Hajesmaeel‐Gohari, Roghayeh Ershad Sarabi, Nasrin Bazargan, Sarehsadat Ebrahimi

“…This study aims to design a minimum data set (MDS) for CMPA in children, as a prerequisite for implementing related registries and applications. …”
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BASSET: Bandpass-adaptive Single-pulse Search Toolkit—Optimized Subband Pulse Search Strategies for Faint Narrowband Fast Radio Bursts by J. H Cao, P. Wang, D. Li, Q. H. Pan, K. Mao, C. H. Niu, Y. K. Zhang, Q. Y. Qu, W. J. Lu, J. S. Zhang, Y. H. Zhu, Y. D. Wang, H. X. Chen, X. L. Chen, J. H. Fang, Y. Feng, H. Gao, Y. F. Huang, J. Li, C. C. Miao, C. W. Tsai, J. M. Yao, S. P. You, R. S. Zhao, Q. Z. Liu, S. M. Weng, S. H. Yew, J. Zhang, L. Zhang, E. Gügercinoğlu, D. K. Zhou, W. W. Zhu

“…The BASSET algorithm was applied to the FAST real data set of FRB 20190520B, resulting in the discovery of additional 79 pulses through reprocessing. …”
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Relation of Muscles Coordination to the Major Degrees of Freedom in Three Upper Limb Motions by Morteza Farrokhnia, Seyyed Arash Haghpanah, Esmaeal Ghavanloo, Mohammad Taghi Karimi

“…These models are validated using surface electromyography (EMG) data to ensure accurate representation of neuromuscular activation patterns. …”
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Comprehensive Review and Analysis of Cryptography Techniques in Cloud Computing by K. Sasikumar, Sivakumar Nagarajan

“…The analysis addresses their methodology, algorithms, results, applications, and limitations and provides valuable suggestions for data security in the cloud. …”
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Enhancing the data processing speed of a deep-learning-based three-dimensional single molecule localization algorithm (FD-DeepLoc) with a combination of feature compression and pip... by Shuhao Guo, Jiaxun Lin, Yingjun Zhang, Zhen-Li Huang

“…Three-dimensional (3D) single molecule localization microscopy (SMLM) plays an important role in biomedical applications, but its data processing is very complicated. …”
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Real-Time Power System Event Detection: A Novel Instance Selection Approach by Gabriel Intriago, Yu Zhang

“…However, such devices produce continuous and unbounded data streams, posing challenges for data handling and storage. …”
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A Novel Framework for Financial Cybersecurity and Fraud Detection Using XAI-RNN-SGRU by Smarajit Ghosh

“…The introduced method improves data security, scalability, and efficiency in real financial applications. …”
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Diagnosis of epileptic seizure neurological condition using EEG signal: a multi-model algorithm by Mosleh Hmoud Al-Adhaileh, Mosleh Hmoud Al-Adhaileh, Sultan Ahmad, Alhasan A. Alharbi, Mohammed Alarfaj, Mohammed Alarfaj, Mukta Dhopeshwarkar, Theyazn H. H. Aldhyani

“…Key features, including delta, theta, alpha, beta, and gamma bands, as well as spectral entropy, were extracted to aid in the classification process.ResultsA comparative analysis was conducted, resulting in high classification accuracy, with the Random Forest model achieving the best results at 99.9% accuracy.DiscussionThe study demonstrates the potential of EEG data for reliable seizure detection while emphasizing the need for further development of more practical and non-invasive monitoring systems for real-world applications.…”
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Digital twins as global learning health and disease models for preventive and personalized medicine by Xinxiu Li, Joseph Loscalzo, A. K. M. Firoj Mahmud, Dina Mansour Aly, Andrey Rzhetsky, Marinka Zitnik, Mikael Benson

“…Digital twins are virtual representations of health and disease processes that can integrate real-time data and simulations to predict, prevent, and personalize treatments. …”
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