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

“…Therefore, we propose a novel method that combines the skeletal method with object detection to accurately predict a set of $ \langle $ human, verb, object $ \rangle $ triplets in a video frame considering the robustness, extensibility, and lightweight of the model. …”
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Research on status monitoring and positioning compensation system for digital twin of parallel robots by Yuting Zhang, Pei Gao, Zongyan Wang, Quanling He

“…Initially, the digital twin framework is constructed. Establishing a spatial kinematics model that serves as the foundation for the twin model, the kinematics model facilitates basic synchronized interaction. …”
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Tropical precipitation extremes: Response to SST‐induced warming in aquaplanet simulations by Ritthik Bhattacharya, Simona Bordoni, João Teixeira

“…Abstract Scaling of tropical precipitation extremes in response to warming is studied in aquaplanet experiments using the global Weather Research and Forecasting (WRF) model. We show how the scaling of precipitation extremes is highly sensitive to spatial and temporal averaging: while instantaneous grid point extreme precipitation scales more strongly than the percentage increase (∼7% K−1) predicted by the Clausius‐Clapeyron (CC) relationship, extremes for zonally and temporally averaged precipitation follow a slight sub‐CC scaling, in agreement with results from Climate Model Intercomparison Project (CMIP) models. …”
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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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Adaptive mechanisms of social and asocial learning in immersive collective foraging by Charley M. Wu, Dominik Deffner, Benjamin Kahl, Björn Meder, Mark K. Ho, Ralf H.J.M. Kurvers

“…Here, we use a collective foraging task in a virtual Minecraft environment to integrate these two fields, by leveraging automated transcriptions of visual field data combined with high-resolution spatial trajectories. Our behavioral analyses capture both the structure and temporal dynamics of social interactions, which are then directly tested using computational models sequentially predicting each foraging decision. …”
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Dynamic bone recognition for robotic vertebral plate cutting via unit energy consumption and SVM optimized by PSO by Heqiang Tian, Jing Zhao, Ying Sun, Jinchang An

“…The study confirms the feasibility of the predictive bone recognition model, which enhances the precision of robotic vertebral plate cutting by enabling real-time dynamic adjustment of cutting parameters based on bone type.…”
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On the accuracy of schedule-based GTFS for measuring accessibility by Nate Wessel, Steven Farber

“…Origins with lower scheduled access tend to produce less reliable estimates with more variability from hour to hour in real accessibility, while higher access zones seem to converge on an estimate 5-15 percent lower than the schedule predicts. Such over- and under-predictions exhibit strong spatial patterns which should be of concern to those using accessibility metrics in statistical models. …”
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RGB to hyperspectral: Spectral reconstruction for enhanced surgical imaging by Tobias Czempiel, Alfie Roddan, Maria Leiloglou, Zepeng Hu, Kevin O'Neill, Giulio Anichini, Danail Stoyanov, Daniel Elson

“…Transformer models exhibit superior performance in terms of RMSE, SAM, PSNR and SSIM by effectively integrating spatial information to predict accurate spectral profiles, encompassing both visible and extended spectral ranges. …”
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Environment-assisted quantum transport of excitons in perovskite nanocrystal superlattices by Daria D. Blach, Victoria A. Lumsargis-Roth, Chern Chuang, Daniel E. Clark, Shibin Deng, Olivia F. Williams, Christina W. Li, Jianshu Cao, Libai Huang

“…Our results connect theoretical predictions and experiments using a stochastic Anderson localization model, highlighting perovskite nanocrystals as promising building blocks for quantum materials.…”
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Awe is characterized as an ambivalent affect in the human behavior and cortex by Jinwoo Lee, Danny Dongyeop Han, Seung-Yeop Oh, Jiook Cha

“…Notably, this variability significantly predicted subjective awe ratings. Lastly, hidden Markov modeling revealed that the multiple band powers, particularly in the frontoparietal channels, were significantly associated with differentiation of valent states during awe-inducing VR watching. …”
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Research on the Diffusion of Vs55 Permeability in Rat Kidneys Based on Computer Tomography by Liu Ke, Xu Yi, Feng Haikao, Dang Hangyu, Yang Guoliang, Li Xin

“…When Vs55 concentration was 8.4 mol/L, the diffusion rates were 1.77××10-6cm2/s at 4 °C,2.94××10-6cm2/s at 22 °C, and 3.93××10-6cm2/s at 37 °C, respectively. The model was demonstrated to predict the spatial and temporal distribution of Vs55 in the kidney. …”
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Relationship between Vegetation and Soil Moisture Anomalies Based on Remote Sensing Data: A Semiarid Rangeland Case by Juan José Martín-Sotoca, Ernesto Sanz, Antonio Saa-Requejo, Rubén Moratiel, Andrés F. Almeida-Ñauñay, Ana M. Tarquis

“…We found other periods of relevant increment in the predictability, such as March and April for Los Vélez, and from July to September for Bajo Aragón.…”
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Recent weakening of carbon-water coupling in northern ecosystems by Fubo Zhao, Wenbo Shi, Jingfeng Xiao, Meng Zhao, Xing Li, Yiping Wu

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Lyman line opacities in tokamak divertor plasmas under high-recycling and detached conditions by Ray Chandra, Detlev Reiter, Niels Horsten, Mathias Groth

“…Radiation transport simulations of the deuterium Lyman line series using EIRENE predict a factor of 2 increase of Balmer-α emission in the JET-ILW low confinement divertor plasmas in high-recycling and detached conditions caused by the re-absorption of Lyman-β emission. …”
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Enhancing Situational Awareness of Helicopter Pilots in Unmanned Aerial Vehicle-Congested Environments Using an Airborne Visual Artificial Intelligence Approach by John Mugabe, Mariusz Wisniewski, Adolfo Perrusquía, Weisi Guo

“…To this end, we aim to combine the strengths of both spatial and temporal deep learning models and classic computer stereo vision to (1) estimate the depth of UAVs, (2) predict potential collisions with other UAVs in the sky, and (3) provide alerts for the pilot with regards to the drone that is likely to collide. …”
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Bayesian Inference and Condition Assessment Based on the Deflection of Aging Reinforced Concrete Hollow Slab Bridges by Xuliang Yan, Siyi Jia, Shuyang Jia, Jian Gao, Jiayu Peng

“…This paper presents a Bayesian inference framework for updating the structural rigidity ratio of aging hollow slab RC bridges using deflection measurements. The framework models the structural rigidity ratio as a stochastic field along the hollow RC slabs, using the Karhunen–Loeve (KL) transform to capture spatial correlation and variation. …”
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Efficient topology control for time-varying spacecraft networks with unreliable links by Wei Zhang, Hong Ma, Tao Wu, Xueshu Shi, Yiwen Jiao

“…Compared with most existing static graph models, this model includes both temporal and spatial topology information. …”
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A Review of Fire Interactions and Mass Fires by Mark A. Finney, Sara S. McAllister

“…The character of a wildland fire can change dramatically in the presence of another nearby fire. Understanding and predicting the changes in behavior due to fire-fire interactions cannot only be life-saving to those on the ground, but also be used to better control a prescribed fire to meet objectives. …”
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Dispersive determination of nucleon gravitational form factors by Xiong-Hui Cao, Feng-Kun Guo, Qu-Zhi Li, De-Liang Yao

“…We also predict the nucleon angular momentum and mechanical radii, providing further insights into the intricate internal structure of the nucleon.…”
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