Hierarchical Embedded System Based on FPGA for Classification of Respiratory Diseases by Trong-Thanh Han, Kien Le Trung, Phuong Nguyen Anh, Anh Do Trung

“…Objectives: This research aims to design and develop a hierarchical embedded system that utilizes respiratory sound features for diagnosing COPD and other respiratory disorders. …”
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Efficient curve fitting with penalized B-splines for oceanographic and ecological applications by Kwan-Young Bak, Dong-Young Lee, Ju-Seong Lee, Hee-Jung Jee, R. Jisung Park, Ja-Yong Koo, Jae-Hwan Jhong

“…By leveraging group penalties and the Alternating Direction Method of Multipliers (ADMM) algorithm, the method ensures consistency across response variables and computational efficiency. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…The model enhances reservoir characterization by capturing complex lithological patterns, supporting better zonation and well placement. …”
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Nonlinear energy consumption analysis of shallow-buried bias tunnel stability with improvement of failure mode by Wei Luo, Shirui Liu, Zhi Tao, Haifeng Wang, Xun Gan

“…With the increase of the load on the top of the slope and the buried depth ratio, the failure of the shallow tunnel deflects toward the shallow side of the slope. The research findings provide crucial guidance for ensuring safe construction practices in shallow-buried tunnels.…”
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Travel route recommendation with a trajectory learning model by Xiangping Wu, Zheng Zhang, Wangjun Wan

“…However, capturing the latent patterns in complex trajectory data for accurate route planning presents a significant challenge. …”
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A Gamified AI-Driven System for Depression Monitoring and Management by Sanaz Zamani, Adnan Rostami, Minh Nguyen, Roopak Sinha, Samaneh Madanian

“…One of its key strengths is a research-ready design that enables real-time simulation, algorithm testing, and hypothesis exploration without relying on large-scale human trials. …”
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A Hybrid Model Integrating Variational Mode Decomposition and Intelligent Optimization for Vegetable Price Prediction by Gao Wang, Shuang Xu, Zixu Chen, Youzhu Li

“…This study proposes a hybrid forecasting model integrating variational mode decomposition (VMD), the Fruit Fly Optimization Algorithm (FOA), and a gated recurrent unit (GRU). …”
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Integrating Fine-Grained Classification and Motion Relation Analysis for Face Anti-Spoofing by Ziyang Cheng, Xiafen Zhang

“…By introducing an attention mechanism, the MCAN uses the RAFT optical flow algorithm to adaptively focus on the direction and intensity of micro-movements in key face regions, distinguishing the natural movement of real faces from the static or repetitive motion patterns in spoofing attacks. …”
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Machine Learning Advancements in Urban Traffic Simulation: A Comprehensive Survey by Harshit Maheshwari, Li Yang, Richard W. Pazzi

“…The code developed for this case study is publicly available, providing a valuable resource for researchers interested in replicating this work or building upon it. …”
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Enhancing deadlift training through an artificial intelligence-driven personal coaching system using skeletal analysis by Bolganay Kaldarova, Aigerim Toktarova, Rustam Abdrakhmanov

“…While the study demonstrates significant potential, it also identifies areas for future research, including algorithm refinement, dataset expansion, and integration of additional metrics and technologies. …”
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Intelligent rockburst level prediction model based on swarm intelligence optimization and multi-strategy learner soft voting hybrid ensemble by Qinghong Wang, Tianxing Ma, Shengqi Yang, Fei Yan, Jiang Zhao

“…This database was subsequently subjected to in-depth statistical and correlation analyses to identify key patterns and relationships. The data preprocessing method proposed in this study, based on an improved version of the Student t-SNE algorithm, effectively reduced the negative impact of data noise on model performance, enhancing the reliability of predictions. …”
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Intelligent Resource Allocation for Immersive VoD Multimedia in NG-EPON and B5G Converged Access Networks by Razat Kharga, AliAkbar Nikoukar, I-Shyan Hwang

“…IVoD requires substantial bandwidth and minimal latency to deliver its interactive XR experiences. This research examines intelligent resource allocation for IVoD services across NG-EPON and B5G X-haul converged networks. …”
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Downscaling of Soil Moisture Map using Sentinel Radar Satellite Images and Distribution Analysis in the West of Iran by Seyed Hossein Mirmosavi, kohzad Raispour, Muhammad Kamangar

“…The results of this study also confirm that the algorithm used in this research can effectively lead to the extraction of the soil surface moisture layer with a higher resolution…”
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Macrostructural Analysis of the Dynamics of the Two-Sector Economy by O. S. Sukharev, E. N. Voronchikhina

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A longitudinal study of changes in depressive symptoms and risk factors for congestive heart failure by Julia Gallucci, Justin Ng, Maria T. Secara, Brett D. M. Jones, Colin Hawco, M. Omair Husain, Nusrat Husain, Imran B. Chaudhry, Aristotle N. Voineskos, M. Ishrat Husain

“…Further, a random forest algorithm was used to determine baseline demographic, clinical and behavioural predictors for each trajectory. …”
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Do Open Tibial Shaft Fractures Portend a Worse Outcome in the Pediatric Population? A Pilot Study Utilizing a Matched Cohort by Dylan R. Rakowski, MD, Brennan Roper, MD, Sarah R. Purtell, BS, Patrick Carry, PhD, Julia S. Sanders, MD

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The role of fMRI in the mind decoding process in adults: a systematic review by Sahal Alotaibi, Maher Mohammed Alotaibi, Faisal Saleh Alghamdi, Mishaal Abdullah Alshehri, Khaled Majed Bamusa, Ziyad Faiz Almalki, Sultan Alamri, Ahmad Joman Alghamdi, Mohammed Alhazmi, Hamid Osman, Mayeen U. Khandaker

“…Studies were selected based on strict inclusion and exclusion criteria: peer-reviewed; published between 2000 and 2024 (in English); focused on adults; investigated mind-reading (mental state decoding, brain-computer interfaces) or related processes; and employed various mind-reading techniques (pattern classification, multivariate analysis, decoding algorithms). …”
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Integration of T cell repertoire, CyTOF, genotyping and symptomatology data reveals subphenotypic variability in COVID-19 patients by Fernando Marín-Benesiu, Lucia Chica-Redecillas, Sergio Cuenca-López, Carmen Entrala-Bernal, Sara Martín-Esteban, Maria Jesús Alvarez-Cubero, Luis Javier Martínez-González

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Creeping in the night: What might ecologists be missing? by Carol Anne Nichols, Kathleen Alexander

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Timing of singleton births by onset of labour and mode of birth in NHS maternity units in England, 2005-2014: A study of linked birth registration, birth notification, and hospital... by Peter Martin, Mario Cortina-Borja, Mary Newburn, Gill Harper, Rod Gibson, Miranda Dodwell, Nirupa Dattani, Alison Macfarlane

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