An Adaptive Variance Adjustment Strategy for a Static Background Error Covariance Matrix—Part I: Verification in the Lorenz-96 Model by Lilan Huang, Hongze Leng, Junqiang Song, Dongzi Wang, Wuxin Wang, Ruisheng Hu, Hang Cao

“…Accurate initial conditions are crucial for improving numerical weather prediction (NWP). Variational data assimilation relies on a static background error covariance matrix (<b>B</b>), yet its variance estimation is often inaccurate, affecting assimilation and forecast performance. …”
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Unmanned Aerial Vehicle Anomaly Detection Based on Causality-Enhanced Graph Neural Networks by Chen Feng, Jun Fan, Zhiliang Liu, Guang Jin, Siya Chen

“…As a direct representation of system health status, flight data contain critical status information, driving data-driven methods to gradually replace traditional dynamic modeling as the mainstream paradigm. …”
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Eficiência e impacto do contexto na gestão através do DEA: o caso da UEG Efficiency and impact of the context in the management through the DEA: case study of the UEG by Carlos Rosano-Peña

“…<br>This work shows the contribution of the method Data Envelopment Analysis (DEA) in the evaluation of the efficiency of organizations that operate in differentiated contexts. …”
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Employing combined spatial and frequency domain image features for machine learning-based malware detection by Abul Bashar

“…The ubiquitous adoption of Android devices has unfortunately brought a surge in malware threats, compromising user data, privacy concerns, and financial and device integrity, to name a few. …”
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GPE-DNeRF:Neural radiance field method for surface geological bodies reconstruction by Xinyi Wang, Weihua Hua, Xiuguo Liu, Peng Li, Guohe Li

“…Deep learning-based 3D reconstruction technologies offer highly automated approaches for recognizing complex data patterns and generating realistic reconstruction results. …”
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Spatiotemporal pattern evolution and quantitative prediction of electrical carbon emissions from a demand-side perspective in urban areas by Ying Tian, Hui Cao, Dapeng Yan, Jinmei Chen, Yayan Hua

“…Utilizing high-frequency monitoring data from  3000 distribution network stations (May–Sept 2018), it creates an integrated ’spatiotemporal evolution-data driven prediction’ framework to reveal emission dynamics and enhance forecast accuracy. …”
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What Is My Plaza for? Implementing a Machine Learning Strategy for Public Events Prediction in the Urban Square by Jumana Hamdani, Pablo Antuña Molina, Lucía Leva Fuentes, Hesham Shawqy, Gabriella Rossi, David Andrés León

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HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDS by Abdulrafiu Yusuf, Olalekan Ogunbiyi, Lambe Mutalub Adesina, Bashiru Olalekan Ariyo

“…Methods: The methodology includes the integration of real-time data from Supervisory Control and Data Acquisition (SCADA) systems, smart meters, and Phasor Measurement Units (PMUs), followed by the application of WLS, KF, and a hybrid approach to estimate voltage magnitudes and phase angles. …”
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Multiplex Networks and Pan-Cancer Multiomics-Based Driver Gene Identification Using Graph Neural Networks by Xingyi Li, Junming Li, Jun Hao, Xingyu Liao, Min Li, Xuequn Shang

“…Identifying cancer driver genes has paramount significance in elucidating the intricate mechanisms underlying cancer development, progression, and therapeutic interventions. Abundant omics data and interactome networks provided by numerous extensive databases enable the application of graph deep learning techniques that incorporate network structures into the deep learning framework. …”
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Assessing glacier thickness changes with multi-temporal UAV-derived DEMs: The evolution of Forni Glacier over the period 2014–2022 by Valeria Belloni, Davide Fugazza, Kevin Hanson, Marco Scaioni, Martina Di Rita

“…However, multi-temporal UAV-based data usually must be improved in terms of consistency due to possible variable survey conditions, requiring precise co-registration. …”
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L’efficacité de la politique budgétaire et de la politique monétaire dans la gestion macroéconomique des petites économies insulaires en développement : application au cas de Saint... by Louis Dupont

“…In spite of this controversy and dilemma, we try to verify in the case of small island developing states, especially Saint Lucia if the results were contrasted, then what would be economic implications in this country. In this context, in order to determine the influence of fiscal and monetary policy on the economic activity in Saint Lucia, we employed a VEC model on the series of yearly data for the period 1995-2023. …”
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Journaling with large language models: a novel UX paradigm for AI-driven personal health management by Birger Moëll, Fredrik Sand Aronsson, Fredrik Sand Aronsson

“…The prototype combines a personal health record with an LLM assistant, allowing for reflective self-monitoring and aiming to combine patient-generated data with clinical insights. Key innovations include a three-panel interface for seamless journaling, AI dialogue, and longitudinal tracking, alongside specialized modes for interacting with simulated healthcare expert personas.ResultPreliminary insights from persona-based evaluations highlight the system's capacity to enhance health literacy through explainable AI responses while maintaining strict data localization and privacy controls. …”
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The possibilities of lineament analysis using for quantitative assessment of the areas prospectivity for the hydrocarbon deposits searching (on the example of the Dnieper-Donets de... by A. Ya. Khodorovskyi, O. A. Apostolov, L. O. Yelistratova, I. F. Romanciuc

“…The reliability of faults corresponding to zones of increased number of lineaments was assessed by their spatial coincidence with the faults identified by geophysical data. The lineament density maps of the Earth’s thermic field, established by remote sensing data, were analyzed. …”
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Research on Small-Target Detection of Flax Pests and Diseases in Natural Environment by Integrating Similarity-Aware Activation Module and Bidirectional Feature Pyramid Network Mod... by Manxi Zhong, Yue Li, Yuhong Gao

“…To enhance the detection accuracy and generalization capability of the model, this paper first employs the Albumentations library for data augmentation, which strengthens the model’s adaptability to complex environments by enriching the diversity of training samples. …”
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Design of Instrumentation and Control Components of Power Distribution Systems by Y. A. Klimenko, Y. E. Lvovich, A. P. Preobrazhensky

“…The proposed schematic diagram of production control showed how the data collection subsystem, management system, and operating mechanisms were involved in the control of operations. …”
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Drone-Mounted Intelligent Reflecting Surface-Assisted Multiple-Input Multiple-Output Communications for 5G-and-Beyond Internet of Things Networks: Joint Beamforming, Phase Shift De... by Jiahan Xie, Fanghui Huang, Yixin He, Wenming Xia, Xingchen Zhao, Lijun Zhu, Deshan Yang, Dawei Wang

“…Motivated by these challenges, we investigate the application of drone-mounted IRS-assisted MIMO communications in B5G IoT networks, where multiple IRS-equipped drones are deployed to provide real-time communication support. …”
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Design and fabrication of E-band silica based dense wavelength-division multiplexing (DWDM) AWG by Feng Han, Jiashun Zhang, Liangliang Wang, Pengwei Cui, Yue Wang, Junming An, Jun Chen, Bingli Sun, Tianhong Zhou

“…The high-performance AWG provides an application basis for e-band data center transmission.…”
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An AI explained systematic modular approach for enhanced Electricity Theft Detection for urbanized Smart Grid environment by Muhammad Ammar, Nadeem Javaid, Ali Arishi

“…Initially, the data pre-processing module imputes missing values with interpolation, handles outliers with the three-sigma rule, and normalizes data with min–max scaling methods to enhance data quality for robust model training. …”
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AN ADVANCED MACHINE LEARNING (ML) ARCHITECTURE FOR HEART DISEASE DETECTION, PREDICTION AND CLASSIFICATION USING MACHINE LEARNING by Muhammad Anas, Muhammad Atif Imtiaz, Saad Khan, Arshad Ali, Noor Fatima Naghman, Hamayun Khan, Sami Albouq

“…As a result, the doctors can visualize the patient’s real-time sensor data using the application and start live video streaming if instant medication is required. …”
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O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros Landrelief in the interpretation of spatial variability of nutrient content in citru... by Marisol G. A. de Leão, José Marques Júnior, Zigomar M. de Souza, Diego S. Siqueira, Gener T. Pereira

“…The leaves were collected at regular intervals of 50 m, totaling 332 sampling points. Data were analyzed by descriptive statistics, geostatistics and induction of decision tree. …”
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