A GAN Guided NCCT to CECT Synthesis With an Advanced CNN-Transformer Aggregated Generator by Haozhe Wang, Dawei Gong, Rongzhen Zhou, Junbo Liang, Ruili Zhang, Wenbin Ji, Sailing He

“…MSPHAB consists of spatial self-attention and channel self-attention in parallel. …”
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3BTRON: A Blood-Brain Barrier Recognition Network by Nan Fletcher-Lloyd, Isabel Bravo-Ferrer, Katrine Gaasdal-Bech, Blanca Díaz Castro, Payam Barnaghi

“…Additionally, feature importance methods revealed the spatial features of each image that contributed most to the predictions. …”
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Large Variations in HIV-1 Viral Load Explained by Shifting-Mosaic Metapopulation Dynamics. by Katrina A Lythgoe, François Blanquart, Lorenzo Pellis, Christophe Fraser

“…Here, we present mathematical, analytical, and computational results that demonstrate that consideration of the spatial structure of the viral population within the host radically alters predictions of previous models. …”
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Review of flow instability in gas-turbine compression system by Jingyi Zeng, Feng Liu

“…Future directions are proposed, emphasizing the development of unified theoretical models, accelerated numerical methods, and full-annulus experiments to enhance stall prediction and active control strategies.…”
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Estimation of Vehicle Dynamic Response from Track Irregularity Using Deep Learning Techniques by Fei Yang, Xiaoli Hao, Hang Zhang, Jie Jiang, Zhixing Fan, Zilong Wei

“…This paper proposes a deep learning model to predict vehicle responses (e.g., vertical wheel-rail forces, wheel unloading rate, and car body vertical acceleration) using deep learning techniques. …”
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Energy-efficient human-like trajectory planning for wheeled robots in unstructured environments based on the RCSM-PL network by Hao Xu, Guanyu Zhang, Huanyu Zhao

“…Experimental results show that, compared with traditional and state-of-the-art methods, the proposed approach significantly reduces cumulative power consumption and improves accuracy in predicting future trajectories. The model effectively learns human manipulation behaviors and demonstrates superior energy-saving performance in complex driving scenarios.…”
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Modular Mobile Charging Facility Layout Optimization Method and Deployment Strategy by Jiajun ZHENG, Xiaoyu DUAN, Zechun HU, Xiaorui HU, Bin ZHU

“…Firstly, an electric vehicle user travel mechanism model is established to predict the spatial and temporal distribution of charging demand at the node level. …”
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Deep reinforced cognitive analytics algorithm (DRCAM): An advanced method to early detection of cognitive skill impairment using deep learning and reinforcement learning by Sunita Patil, Dr. Swetta Kukreja

“…This study proposes a novel approach combing Multimodal Transformers (MMT) for fusion features, namely, neuroimaging data, wearable sensors, neuropsychological test scores, and text pro-appraisals. A CNN-LSTM hybrid model is used for mapping spatial and temporal dependencies, and, on the other hand, a Deep Q-Network (DQN) improves while instructing how to perform proper cognitive training. …”
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Effective human–object interaction recognition for edge devices in intelligent space by Haruhiro Ozaki, Dinh Tuan Tran, Joo-Ho Lee

“…Given the need for advanced machine-learning systems that provide spatial analysis and services, the recognition model should be robust to various changes, have high extensibility, and provide sufficient recognition speed even with minimal computational overhead. …”
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How Do Particles with Complex Interactions Self-Assemble? by Lara Koehler, Pierre Ronceray, Martin Lenz

“…However, current self-assembly models typically ignore this aspect, and the principles by which it determines the large-scale structure of protein assemblies are largely unknown. …”
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Land cover as a driver of fish community changes in New York's Oswego River Watershed. by Kate M Henderson, Megan Hazlett, Joshua A Drew

“…Land cover exerts a powerful influence on aquatic communities at multiple spatial scales, and alterations to systems can persist even after restoration actions are taken. …”
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Hybrid Attention and Multiscale Module for Alzheimer's Disease Classification by WANG Yuanjun

“…Additionally, it integrates multiscale spatial scale features of Alzheimer's disease by using a multiscale information fusion module based on dilated convolution and soft attention, enhancing early diagnosis and prediction. …”
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Identification of recurrent dynamics in distributed neural populations. by Rodrigo Osuna-Orozco, Edward Castillo, Kameron Decker Harris, Samantha R Santacruz

“…Large-scale recordings of neural activity over broad anatomical areas with high spatial and temporal resolution are increasingly common in modern experimental neuroscience. …”
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Selection Theory of Dendritic Growth with Anisotropic Diffusion by Martin von Kurnatowski, Klaus Kassner

“…Any physical solution should include this feature. A simple spatial rescaling is used to reduce the bulk equation in 2D to the case of isotropic diffusion. …”
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PROGRAMA INNOVADOR PARA EVALUAR USO Y PREFERENCIA DE HÁBITAT by Javier Montenegro, Alberto Acosta

“…This topic is high priority due to the rapid climatic changesthat, according to model predictions, will directly or indirectly affect the resources, conditions and therefore itshabitat, modifying its abundance, spatial distribution, and local probability of extinction. …”
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Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation by E. P. Chernienko, I. S. Chernienko

“…The model was trained on the data for 2016–2019 and verified on the data for 2020. …”
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Immersivity: An Interdisciplinary Approach to Spaces of Immersion by Florian Freitag, Céline Molter, Laura Katharina Mücke, Helena Rapp, Damien B. Schlarb, Elisabeth Sommerlad, Clemens Spahr, Dominic Zerhoch

“…We assume that in all of these examples, spatial qualities and modes interact in particular ways to facilitate immersion. …”
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NURSERY SCHOOL BUILDINGS IN PREFABRICATION TECHNIQUES FROM THE EARLY 60S TO THE 80S IN ITALY. HISTORICAL, TECHNOLOGICAL, AND PEDAGOGICAL OVERVIEW by Barbara Gherri, Federica Morselli

“…It demonstrates how effective prefabricated technologies can address the educational requirements of increasingly flexible learning environments, accommodate potential spatial variations over time, and achieve a high level of environmental integration to optimize the efficient use of both indoor and outdoor spaces. …”
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The Role of Sustainable Design in Interior Spaces for Kindergartens by Halla Hameed Salih, Raja Saadi Lafta

“…The third chapter outlines the research methodology, relying on a descriptive approach to analyze the research model. The fourth chapter presents the research results, highlighting that natural and artificial lighting systems used in educational and service spaces in kindergarten environments achieve functional and aesthetic aspects. …”
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Deep learning for single-site solar irradiance forecasting using multi-station data by Daniel Guatibonza, Gabriel Narvaez, Luis Felipe Giraldo

“…The results highlight the need for more advanced methods to effectively exploit spatial data, which will guide the future development of solar irradiance prediction models.…”
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