A novel multi-modal rehabilitation monitoring over human motion intention recognition by Saleha Kamal, Saleha Kamal, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…However, existing systems struggle with recognizing such subtle movements due to complex postural variations and environmental noise. This paper presents a novel multi-modal framework that integrates RGB and depth data to extract high-resolution spatial-temporal and anatomical features for accurate HMIR. …”
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Some Reliability Issues of the Corrugated I-Beam Girder by Damian SOKOŁOWSKI, Marcin Marek KAMIŃSKI

“…The perturbation-based results are compared with these coming from the Monte-Carlo simulation and with an analytical solution obtained via symbolic integration carried out in MAPLE also. The indices of reliability are determined for the maximum deflections of the beam as the function of an input coefficient of variation of the web’s thickness whose meaning is the extent of a corrosion process.…”
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Addressing process-induced porosity variations in multiscale composite materials analysis using aggregated projection clustering and Halton sequence RVE sampling by Hamidreza Dehghani, Henri Perrin, Elias Belouettar-Mathis, Borek Patzák, Salim Belouettar

“…In such cases, porosity significantly decreases as we approach the consolidation surfaces, leading to substantial variations in material behavior in those areas. To address this, we propose an unsupervised machine learning approach integrated with micro-computed tomography (μCT) image processing and Asymptotic Homogenization (AH) for accurate and robust consideration of real microstructure as the basis for an upscaling process. …”
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Multi-objective mathematical programs to minimize the makespan, the patients' flow time, and doctors' workloads variation using dispatching rules and genetic algorithm by Jerbi Badreddine, Kanoun Salma, Kamoun Hichem

“…The problem considers a parallel machine scheduling model that integrates simultaneously the following most known objectives in healthcare systems: minimization of the makespan, the patients' total flow times, and the doctors' workloads variations. …”
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A VSG Power Decoupling Control with Integrated Voltage Compensation Schemes by Longhai Wei, Bo Yang, Shuai Lu

“…These methods are less effective under varying operating points. …”
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An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data by Matteo Bozzano, Francesco Varni, Monica De Martino, Alfonso Quarati, Nicoletta Tambroni, Bianca Federici

“…This method enables us to identify the river centerline, its width, and its slope variations. …”
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Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory by Zilong Zhao, Luliang Tang, Chang Ren, Xue Yang, Zihan Kan, Qingquan Li

“…In this study, we integrate geographic methods with high-dimensional tensor theory and develop a comprehensive framework for traffic anomaly diagnosis. …”
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Integrated Vascular Analysis System of Olive Cultivation: Savia Olivar Project by Antonio Aguirre-Arcos, Irene Ortiz-Bernad, Juana Nieto Carricondo, Antonio M. Lallena, Marino Pedro Reyes-Martín, Álvaro Ávila-Pérez, Emilia Fernández-Ondoño

“…Olive trees are widely cultivated crops, especially in Mediterranean countries, which requires new practices to maintain productivity, optimize resource use and improve the quality of the environment. Integrated production seeks to achieve these objectives, but this requires rapid and effective methods to plan crop nutrition. …”
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An integrated strain-level analytic pipeline utilizing longitudinal metagenomic data by Boyan Zhou, Chan Wang, Gregory Putzel, Jiyuan Hu, Menghan Liu, Fen Wu, Yu Chen, Alejandro Pironti, Huilin Li

“…ABSTRACT With the development of sequencing technology and analytic tools, studying within-species variations enhances the understanding of microbial biological processes. …”
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The rising burden of diabetes and state-wise variations in India: insights from the Global Burden of Disease Study 1990–2021 and projections to 2031 by Shubham Chauhan, Mahalaqua Nazli Khatib, Suhas Ballal, Pooja Bansal, Kiran Bhopte, Abhay M. Gaidhane, Balvir S. Tomar, Ayash Ashraf, M. Ravi Kumar, Ashish Singh Chauhan, Muhammed Shabil, Diptismita Jena, Ganesh Bushi, Prakasini Satapathy, Lara Jain, Vaibhav Jaiswal, Manvi Pant

“…BackgroundDiabetes is a major public health concern in India, contributing significantly to morbidity and mortality. With variations in disease burden across states, a detailed understanding of trends in incidence, prevalence, and Disability Adjusted Life Years (DALYs) is essential for targeted interventions.MethodsThis study utilized Global Burden of Disease (GBD) data from 1990 to 2021 to examine trends in diabetes across Indian states. …”
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Integrating Machine Learning Techniques for Enhanced Safety and Crime Analysis in Maryland by Zeinab Bandpey, Soroush Piri, Mehdi Shokouhian

“…Our research utilized an enhanced combination of machine learning models, including random forest, gradient boosting, XGBoost, extra trees, and advanced ensemble methods like stacking regressors. These models have been meticulously optimized to address the unique dynamics and demographic variations across Maryland, enhancing our capability to capture localized crime trends with high precision. …”
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Bayesian variable selection with graphical structure learning: Applications in integrative genomics. by Suprateek Kundu, Yichen Cheng, Minsuk Shin, Ganiraju Manyam, Bani K Mallick, Veerabhadran Baladandayuthapani

“…Our methods are motivated by and applied to a glioblastoma multiforme (GBM) dataset from The Cancer Genome Atlas to predict patient survival times integrating gene expression, copy number and methylation data. …”
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Integrating Remote Sensing and AI for precision Monitoring of Soil and Vegetation Contamination by M. Spiralski, A. Miszczak, G. Siebielec, Ż. Piasecka, R. Trojnacki, P. Kwaśnik, J. Kotlarz, K. A. Kubiak-Siwinska, M. Kacprzak, S. Marciniak, K. A. Rotchimmel, K. P. Beben, J. Szymanski

“…Addressing the needs of end-users, the research focuses on the development of reliable methods to assess environmental contaminants that impact soil quality. …”
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Reliability of an Integrated Ultrasound and Stereophotogrammetric System for Lower Limb Anatomical Characterisation by Frederick Greatrex, Erica Montefiori, Thomas Grupp, Josef Kozak, Claudia Mazzà

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Coupling study on ecological resilience and urban-rural integrated development in China by Yue Wang, Mengfei Song, Siyan Zhu, Zhihui Jiang, Zhen Zhang

“…This research utilizes an integrated coupling coordination framework to examine the relationship among ecological resilience and rural-urban dynamics in 31 Chinese provinces from 2011 to 2022. …”
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International competencies of nurses with advanced practice in anesthesia nursing: An integrative review by Kathrin Julia Pann, Verena-Katrin Buchner, Roland Eßl-Maurer, Tobias Bacher, Manela Glarcher, Andre Ewers

“…Eight qualitative, ten quantitative, and one mixed methods study, as well as seven scientific reports could be identified. …”
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GLLR-HAD: Global-local low-rank integration for hyperspectral image anomaly detection by Yu Bai, Yanling Zhang, Lili Zhang, Tan Zhao

“…To overcome this limitation, we propose a novel framework, Global-Local Low-Rank Integration for Hyperspectral Anomaly Detection (GLLR-HAD), which synergistically integrates global and local low-rank modeling to effectively extract both global semantic representations and local fine-grained features from HSI data. …”
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Bridging the gap between technology and nursing education: Assessing student perspectives on Blackboard integration by Petelyne P. Pangket, Evalynn M. Rondilla, Jerold C. Alcantara, Dolores I. Cabansag, Hamdan Mohammad Albaqawi, Sarah Nawasreh, Lea L. Dando, Jonalee M. Valdez, Jane Rachelle D. Baroquillo, Laila Lafi Alharbi, Latifa Awad Alshammari

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Enhancing Maritime Data Integration for Platform Services With Sequence-to-Sequence Models and Statistical Refinement by Hyoseong Hwang, Richard Wong, Ducsun Lim, Jonggu Kang, Inwhee Joe

“…Experimental results demonstrate that the sequence-to-sequence model with statistical refinement outperformed single-step and discriminative methods in handling class imbalance and variations when mapping ship DSLs to a unified platform data model. …”
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Survey on Image-Based Vehicle Detection Methods by Mortda A. A. Adam, Jules R. Tapamo

“…Deep learning methods are categorized into one-stage detectors (e.g., YOLO, SSD, FCOS, CenterNet), two-stage detectors (e.g., Faster R-CNN, Mask R-CNN), transformer-based detectors (e.g., DETR, Swin Transformer), and GAN-based methods, highlighting architectural trade-offs concerning speed, accuracy, and practical deployment. …”
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