Confidence-Based Fusion of AC-LSTM and Kalman Filter for Accurate Space Target Trajectory Prediction by Caiyun Wang, Jirui Zhang, Jianing Wang, Yida Wu

“…Experimental results on simulated radar-based noisy trajectory data demonstrate that the proposed method outperforms conventional algorithms, offering superior precision and robustness. …”
Get full text

Seismic Random Noise Attenuation Using DARE U-Net by Tara P. Banjade, Cong Zhou, Hui Chen, Hongxing Li, Juzhi Deng, Feng Zhou, Rajan Adhikari

“…Seismic data processing plays a pivotal role in extracting valuable subsurface information for various geophysical applications. …”
Get full text

Framework for effective PV system instrumentation focused on fault diagnosis by Edgar Hernando Sepúlveda-Oviedo, Bruno Estibals

“…A comprehensive framework for instrumentation in photovoltaic (PV) systems is proposed to enhance fault detection accuracy and diagnostic capability across varied PV applications. The framework is structured around four key components: (i) system design considerations, which include PV topology, scale, and sensor placement strategies to maximize detection sensitivity; (ii) data acquisition, detailing sensor selection, sampling rate optimization, and communication protocols adaptable to different configurations; (iii) data management and preprocessing, encompassing storage strategies, data quality control, and normalization pipelines; and (iv) a review of existing monitoring platforms, identifying their limitations for fault-specific diagnostics. …”
Get full text

Stable Diffusion-Driven Conditional Image Augmentation for Transformer Fault Detection by Wenlong Liao, Yiping Jiang, Rui Liu, Yun Feng, Yu Zhang, Jin Hou, Jun Wang

“…The proposed approach successfully addresses key data augmentation challenges in transformer fault detection applications.…”
Get full text

A Realistic Image Generation of Face From Text Description Using the Fully Trained Generative Adversarial Networks by Muhammad Zeeshan Khan, Saira Jabeen, Muhammad Usman Ghani Khan, Tanzila Saba, Asim Rehmat, Amjad Rehman, Usman Tariq

Get full text

World of Crayfish™: a web platform towards real-time global mapping of freshwater crayfish and their pathogens by Mihaela C. Ion, Caitlin C. Bloomer, Tudor I. Bărăscu, Francisco J. Oficialdegui, Nathaniel F. Shoobs, Bronwyn W. Williams, Kevin Scheers, Miguel Clavero, Frédéric Grandjean, Marc Collas, Thomas Baudry, Zachary Loughman, Jeremy J. Wright, Timo J. Ruokonen, Christoph Chucholl, Simone Guareschi, Bram Koese, Zsombor M. Banyai, James Hodson, Margo Hurt, Katrin Kaldre, Boris Lipták, James W. Fetzner, Tommaso Cancellario, András Weiperth, Jạnis Birzaks, Teodora Trichkova, Milcho Todorov, Maksims Balalaikins, Bogna Griffin, Olga N. Petko, Ada Acevedo-Alonso, Guillermo D’Elía, Karolina Śliwińska, Anatoly Alekhnovich, Henry Choong, Josie South, Nick Whiterod, Katarina Zorić, Peter Haase, Ismael Soto, Daniel J. Brady, Phillip J. Haubrock, Pedro J. Torres, Denis Şadrin, Pavel Vlach, Cüneyt Kaya, Sang Woo Jung, Jin-Young Kim, Xavier H.C. Vermeersch, Maciej Bonk, Radu Guiaşu, Muzaffer M. Harlioğlu, Jane Devlin, Irmak Kurtul, Dagmara Błońska, Pieter Boets, Hossein Masigol, Paul R. Cabe, Japo Jussila, Trude Vrålstad, David V. Beresford, Scott M. Reid, Jiří Patoka, David A. Strand, Ali S. Tarkan, Frédérique Steen, Thomas Abeel, Matthew Harwood, Samuel Auer, Sandor Kelly, Ioannis A. Giantsis, Rafał Maciaszek, Maria V. Alvanou, Önder Aksu, David M. Hayes, Tadashi Kawai, Elena Tricarico, Adroit Chakandinakira, Zanethia C. Barnett, Ştefan G. Kudor, Andreea E. Beda, Lucian Vîlcea, Alexandru E. Mizeranschi, Marian Neagul, Anton Licz, Andra D. Cotoarbă, Adam Petrusek, Antonín Kouba, Christopher A. Taylor, Lucian Pârvulescu

“…The database offers open access to the data through specialized standard geospatial services (Web Map Service, Web Feature Service) enabling users to view, embed, and download customizable outputs for various applications. …”
Get full text

A Multi-Scale Hybrid Scene Geometric Similarity Measurement Method Using Heterogeneous Graph Neural Network by Chongya Gong, Tinghua Ai, Shiyu Chen, Tianyuan Xiao, Huafei Yu

“…Due to the differing dimensionality of these various types of geographic data, traditional geometric similarity measurement methods that rely on a single type of feature are not applicable to mixed scenes. …”
Get full text

Multimodal behavior recognition for dairy cow digital twin construction under incomplete modalities: A modality mapping completion network approach by Yi Zhang, Yu Zhang, Meng Gao, Xinjie Wang, Baisheng Dai, Weizheng Shen

“…This approach enhances the robustness and applicability of cow behavior recognition based on multimodal data in situations of modality loss, resolving practical issues in the development of digital twins for cow behavior and providing comprehensive support for the intelligent and precise management of farms.…”
Get full text

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures by Nathaniel Morgan, Caleb Yenusah, Adrian Diaz, Daniel Dunning, Jacob Moore, Erin Heilman, Calvin Roth, Evan Lieberman, Steven Walton, Sarah Brown, Daniel Holladay, Marko Knezevic, Gavin Whetstone, Zachary Baker, Robert Robey

“…This paper presents software advances to easily exploit computer architectures consisting of a multi-core CPU and CPU+GPU to accelerate diverse types of high-performance computing (HPC) applications using a single code implementation. The paper describes and demonstrates the performance of the open-source C++ <b>mat</b>rix and <b>ar</b>ray (MATAR) library that uniquely offers: (1) a straightforward syntax for programming productivity, (2) usable data structures for data-oriented programming (DOP) for performance, and (3) a simple interface to the open-source C++ Kokkos library for portability and memory management across CPUs and GPUs. …”
Get full text

Optimal Instruments for Measurement of Dietary Intake, Physical Activity, and Sleep Among Adults in Population‐Based Studies: Report of a National Heart, Lung, and Blood Institute... by Gabriel Anaya, Kelley Pettee Gabriel, Marie‐Pierre St‐Onge, Linda V. van Horn, Alfonso Alfini, Sylvia E. Badon, Carol Boushey, Alison Brown, Christopher M. Depner, Keith M. Diaz, Aiden Doherty, Erin E. Dooley, Dorothea Dumuid, Julio Fernandez‐Mendoza, Michael A. Grandner, Kirsten A. Herrick, Frank B. Hu, Kristen L. Knutson, Amanda Paluch, Charlotte A. Pratt, Jared P. Reis, Jennifer Schrack, Marissa M. Shams‐White, Diana Thomas, Katherine L. Tucker, Maya K. Vadiveloo, Dana L. Wolff‐Hughes, Yuling Hong

Get full text

The impact of information management strategies on decision-making effectiveness in Jordanian private hospitals by Dhia Qasim, Abdallah Q. Bataineh, Waheeb Abu-Dawwas

Get full text

Perspective Transformation and Viewpoint Attention Enhancement for Generative Adversarial Networks in Endoscopic Image Augmentation by Laimonas Janutėnas, Dmitrij Šešok

“…This study presents an enhanced version of the StarGAN model, with a focus on medical applications, particularly endoscopic image augmentation. …”
Get full text

Exploring the research trend and development of sports science technology in the last 4 decades: systematic review by Andhega Wijaya, Muchamad Arif Al Ardha, Nurhasan Nurhasan, Chung Bing Yang, Ru Han Lin, Andika Bayu Putro

“…Keywords: technological advancements, sensor technology, big data analytics, virtual reality in sports …”
Get full text

Behavioural user segmentation of app users based on functionality interaction patterns by Li-Yoong Ooi, Choo-Yee Ting, Helmi Zakariah, Eashvaren Chandar

“…The findings revealed that Density-Based Spatial Clustering of Applications with Noise that leveraged on One-hot Encoding and data representation learning via an autoencoder performed best, with a Silhouette score of 0.36. …”
Get full text

A novel blockchain-based privacy-preserving framework for online social networks by Shiwen Zhang, Tingting Yao, Voundi Koe Arthur Sandor, Tien-Hsiung Weng, Wei Liang, Jinshu Su

“…In recent years, there are some research works to address this privacy issue, yet they do not always focus on providing the normal social network services for users, such as data sharing, data retrieval and data access services. …”
Get full text

Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer by Rana Muhammad Adnan, Wang Mo, Ahmed A. Ewees, Salim Heddam, Ozgur Kisi, Mohammad Zounemat-Kermani

“…The study advocates for the 75–25% train-test data splitting scenario for optimal performance in data-driven methodologies. …”
Get full text

Incorporating Deep Learning Into Hydrogeological Modeling: Advancements, Challenges, and Future Directions by Zhenxue Dai, Chuanjun Zhan, Huichao Yin, Junjun Chen, Lulu Xu, Yuzhou Xia, Songlin Yang, Wei Chen, Mingxu Cao, Zhengyang Du, Xiaoying Zhang, Bicheng Yan, Yue Ma, Hao Wang, Farzad Moeini, Mohamad Reza Soltanian, Hung Vo Thanh, Kenneth C. Carroll

“…Although recent applications of DL in hydrogeology have shown potential, many models are still in the testing phase due to limited hydrogeological data, the “black box” nature of DL models hindering interpretability, and the substantial computational resources needed for training. …”
Get full text

KRID: A Large-Scale Nationwide Korean Road Infrastructure Dataset for Comprehensive Road Facility Recognition by Hyeongbok Kim, Eunbi Kim, Sanghoon Ahn, Beomjin Kim, Sung Jin Kim, Tae Kyung Sung, Lingling Zhao, Xiaohong Su, Gilmu Dong

Get full text

THE ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALISED MEDICINE: ADVANCEMENTS, CHALLENGES, AND FUTURE PERSPECTIVES by Ioana-Marcela PĂCURARU, Ciprian-Sorin CHIRVASE, Ştefan-Ioan TIRITEU

“…By leveraging vast amounts of data, AI enhances early disease detection, tailors treatments to individual patients, and optimises medical resource management. …”
Get full text

Enhancing high pressure pulsation test bench performance: a machine learning approach to failure condition tracking by Aslı Aksoy, Ömer Haki

“…The findings of this study provide a basis for the development of the company’s data-driven smart predictive maintenance applications while providing an increase in the operational efficiency of HPPT benches. …”
Get full text