28 papers · ranked by Valyu relevance
Yang Zhang, Andreas Vitalis, Xin Gao
The extension of the voxelization of static structures to a series of (consecutive) MD frames yields a series of 3D lattices. For each grid point with internal coordinates i, j, and k, a time series of discretized properties ${v_{i,j,k}=w_{t,i,j,k}|t\in1\cdotsW}$ is generated, and the dynamic property $v_{i,j,k}$ is…
Meili Zhu, Qingqing Wang, Jianglin Luo
Among electroencephalogram (EEG) signal emotion recognition methods based on deep learning, most methods have difficulty in using a high-quality model due to the low resolution and the small sample size of EEG images. To solve this problem, this study proposes a deep network model based on dynamic energy features. In…
Qiuhan Jin, Ding Cui, Koen Nelissen
Recognizing and distinguishing actions is a complex cognitive process that relies on integrating various spatiotemporal information. However, the specific contributions of spatial and temporal features to action recognition remain unclear. To address this gap, we conducted fMRI recordings in monkeys as they observed…
Guanni Ji, Yu Wang, Fei Wang, José F. F. Mendes
Marine background noise (MBN) is the background noise of the marine environment, which can be used to invert the parameters of the marine environment. However, due to the complexity of the marine environment, it is difficult to extract the features of the MBN. In this paper, we study the feature extraction method of…
Xukang Kan, Gefei Shi, Xuerong Yang, Xinwei Hu + 1 more
Traditional SLAM systems assume a static environment, but moving objects break this ideal assumption. In the real world, moving objects can greatly influence the precision of image matching and camera pose estimation. In order to solve these problems, the YPR-SLAM system is proposed. First of all, the system includes a…
Surag Nair, Arjun Barrett, Daofeng Li, Brian J Raney + 8 more
We introduce the dynseq genome browser track, which displays DNA nucleotide characters scaled by user-specified, base-resolution scores provided in the BigWig file format. The dynseq track enables visualization of context-specific, informative genomic sequence features. We demonstrate its utility in three popular…
Guo Jiahui, Ma Feilong, Matteo Visconti di Oleggio Castello, Samuel A. Nastase + 2 more
Deep convolutional neural networks (DCNNs) trained for face identification can rival and even exceed human-level performance. The ways in which the internal face representations in DCNNs relate to human cognitive representations and brain activity are not well understood. Nearly all previous studies focused on static…
Andreas Metzger, Clément Quinton, Zoltán Ádám Mann, Luciano Baresi + 1 more
'Klaus Pohl'] Abstract—A self-adaptive system can modify its own structure and behavior at runtime based on its perception of the environment, of itself and of its requirements. To develop a self-adaptive system, software developers codify knowledge about the system and its environment, as well as how adaptation…
Imran Alam, Brendan Harris, Patrick Cahill, Oliver Cliff + 3 more
The interdisciplinary time-series analysis literature encompasses thousands of statistical features for quantifying interpretable properties of dynamical data. But for any given application, it is likely that just a small subset of informative time-series features is required to capture the dynamical quantities of…
Ullah, Wasi, Khalid, Yasir Noman + 2 more
Human Activity Recognition (HAR) plays a pivotal role in various applications, including smart surveillance, healthcare, assistive technologies, sports analytics, etc. However, HAR systems still face critical challenges, including high computational costs, redundant features, and limited scalability in real-time…
Yuki Fujita, Yuki Nagase, Sarthak Pathak, Alessandro Moro + 3 more
With the rapid expansion of global food demand, aquaculture has become a critical pillar for future food security. However, aquaculture systems remain highly vulnerable to pathogenic bacteria, and rapid identification of antagonistic microbes is essential for sustainable disease control. Conventional evaluation…
Omar Abulshohoud, Ishwor Poudyal, J. L. McChesney, Zhan Zhang + 3 more
'Zhi Qiao' 'U. Welp' 'Zahir Islam'] Dark-field x-ray microscopy utilizes Bragg diffraction to collect full-field x-ray images of 'mesoscale' structure of ordered materials. Information regarding the structural heterogeneities and their physical implications is gleaned through the quantitative analyses of these images.…
Gjorgjina Cenikj, Gašper Petelin, Carola Doerr, Peter Korošec + 1 more
'Tome Eftimov'] The application of machine learning (ML) models to the analysis of optimization algorithms requires the representation of optimization problems using numerical features. These features can be used as input for ML models that are trained to select or to configure a suitable algorithm for the problem at…
Feng Zhao, Ke Lv, Shixin Ye, Xiaobo Chen + 5 more
'Ning Mao' 'Yande Ren' 'Feng Liu'] Dynamic functional connectivity, derived from resting-state functional magnetic resonance imaging (rs-fMRI), has emerged as a crucial instrument for investigating and supporting the diagnosis of neurological disorders. However, prevalent features of dynamic functional connectivity…
Hanting Li, Hongjing Niu, Zhaoqing Zhu, Feng Zhao
—Compared with the image-based static facial expression recognition (SFER) task, the dynamic facial expression recognition (DFER) task based on video sequences is closer to the natural expression recognition scene. However, DFER is often more challenging. One of the main reasons is that video sequences often contain…
Kewei Yan, Yonghong Yan
—Hydrodynamics simulations are powerful tools for studying fluid behavior under physical forces, enabling extraction of features that reveal key flow characteristics. Traditional post-analysis methods offer high accuracy but incur significant computational and I/O costs. In contrast, in-situ methods reduce data…
Alessandro Betti, Giuseppe Boccignone, Lapo Faggi, Marco Gori + 1 more
Symmetries, invariances and conservation equations have always been an invaluable guide in Science to model natural phenomena through simple yet effective relations. For instance, in computer vision, translation equivariance is typically a built-in property of neural architectures that are used to solve visual tasks…
Bruce C. Hansen, Michelle R. Greene, Henry A.S. Lewinsohn, Audrey E. Kris + 2 more
Scene categorization is the dominant proxy for visual understanding, yet humans can perform a large number of visual tasks within any scene. Consequently, we know little about how different tasks change how the scene processed, represented, and its features ultimately used. Here, we developed a novel brain-guided…
Anish Rao, Ana Sanchez-Iglesias, Marek Grzelczak
Periodic responses to non-periodic energy inputs are hallmarks of living systems, that lead to metastable features across length scales, exemplified by phenomena such as oscillations. Experimental attempts to mimic such phenomenon have primarily utilized (macro)molecular building blocks that enable precise control over…
Jane Kondev, Marc Kirschner, Hernan G. Garcia, Gabriel L. Salmon + 1 more
Many biological processes can be thought of as the result of an underlying dynamics in which the system repeatedly undergoes distinct and abortive trajectories with the dynamical process only ending when some specific process, purpose, structure or function is achieved. A classic example is the way in which…
Ege Onur Taga, Yilin Zhuang, M. Emrullah Ildiz, Petros Mol + 3 more
Large language models are increasingly used as open-ended search operators in evolutionary optimization. We introduce Evolutionary Feature Engineering (EFE), a framework for using LLM-based evolution to discover preprocessing transformations for structured data. EFE represents transformations as Python programs with a…
Authors not listed
Proteolysis Targeting Chimeras (PROTACs) are bifunctional molecules that induce ubiquitination and degradation of a target protein via recruitment to an E3 ligase. The linker influences many steps of the PROTAC mode of action, from cellular permeability to ternary complex formation and target degradation. Much interest…
Authors not listed
Active assembly of matter is a defining trait of living systems, enabling the creation of far-from-equilibrium materials essential for the functionality of life. This is achieved through energy-dissipative, multi-step processes facilitated by various biomolecular agents for chemical and mechanical assembly of matter.…
Anna Pietrenko-Dabrowska, Slawomir Koziel, Ubaid Ullah
Electromagnetic (EM) simulation tools have become indispensable in the design of contemporary antennas. Still, the major setback of EM-driven design is the associated computational overhead. This is because a single full-wave simulation may take from dozens of seconds up to several hours, thus, the cost of solving…
Authors not listed
Mid-infrared (mid-IR) electrochromism is a promising technology that enables new ways to control radiative heat, which is particularly crucial for applications such as building thermoregulation efficiency, industrial process efficiency, spacecraft thermal engineering, and personal heat management. However, most mid-IR…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Peter Sagmeister, Lukas Melnizky, Jason Williams, C. Oliver Kappe
In modern pharmaceutical research, the demand for expeditious development of synthetic routes to active pharmaceutical ingredients (APIs) has led to a paradigm shift towards data-rich process development. Conventional methodologies en-compass prolonged timelines for reaction and analytical model developments. Both…
Yanwen Li, Decai Li
Magnetic fluid shock absorbers (MFSAs) have been successfully applied in eliminating the micro-vibration of the spacecraft’s flexible structures. The method of enhancing the damping of MFSAs has always been the key issue. The tree frog’s toe pads exhibit the strong adhesion, which inspired us to learn from their…