20 papers · ranked by Valyu relevance
Sifat Rezwan, Juan A. Cabrera, Frank H. P. Fitzek
—The trend of future communication systems is to aim for the steering and control of cyber-physical systems. These systems can quickly become congested in environments like those presented in Industry 4.0. In these scenarios, a plethora of sensor data is transmitted wirelessly to multiple in-network controllers that…
Derya Malak
—We describe a rational approach to reduce the computational and communication complexities of lossless pointto-point compression for computation with side information. The traditional method relies on building a characteristic graph with vertices representing the source symbols and with edges that assign a source…
E. Kelly Buchanan, Ian Kinsella, Ding Zhou, Rong Zhu + 16 more
Calcium imaging has revolutionized systems neuroscience, providing the ability to image large neural populations with single-cell resolution. The resulting datasets are quite large (with scales of TB/hour in some cases), which has presented a barrier to routine open sharing of this data, slowing progress in…
Qiuyi Li, Zhihao Zhan, Shikun Feng, Yiheng Zhu + 10 more
Genomic foundation models aim to learn general-purpose representations directly from DNA sequence, enabling sequence understanding, generation, and probabilistic reasoning across a wide range of biological tasks. Scaling such models to genomic lengths, however, remains challenging due to the tension between long-range…
Takuma Isshiki, Shinnosuke Tsukada, Minami Akao, Yuna Ishikura + 4 more
This study investigated the effects of functional compression tights on perceived fatigability, muscle activity, and EEG responses. The tights significantly reduced perceived fatigability and selectively suppressed RMS activity in the VMO, suggesting reduced post-task neuromuscular demand. Although no significant…
Shuer Ye, Jasper Christian Mostert, Robin Pedersen, Xiaqing Lan + 3 more
The functional cortical hierarchy of the human brain, a fundamental principle of brain organization, has been extensively characterized during resting state for healthy younger adults. However, functional re-organization during naturalistic settings, such as movie-watching, and its alterations across the adult lifespan…
Prashant Rai, Hemanth Kolla, Lewis Cannada, Alex Gorodetsky
We propose a strategy to compress and store large volumes of scientific data represented on unstructured grids. Approaches utilizing tensor decompositions for data compression have already been proposed. Here, data on a structured grid is stored as a tensor which is then subjected to appropriate decomposition in…
Lei Shi, Shikun Feng, Zhifan Zhu
As the complexity of deep neural networks (DNNs) trend to grow to absorb the increasing sizes of data, memory and energy consumption has been receiving more and more attentions for industrial applications, especially on mobile devices. This paper presents a novel structure based on functional hashing to compress DNNs…
Kousuke Shimada, Masakatsu Nohara, Fumika Shinozaki, Midori Tatsuda + 4 more
The effects of compression load to a specific body part, e.g. leg, arm, or trunk, evoke many functions and are applied in various fields including clinical medicine, sports, and general health care. Nevertheless, little is known about the functional mechanism of compression load, especially regarding its effects on…
Qi Liu, Yu Yang, Chun Chen, Jiajun Bu + 2 more
Background With the rapid emergence of RNA databases and newly identified non-coding RNAs, an efficient compression algorithm for RNA sequence and structural information is needed for the storage and analysis of such data. Although several algorithms for compressing DNA sequences have been proposed, none of them are…
H. L. Shang, J. Cao, P. Sang
We consider determining the optimal stopping time for the glue curing of wood panels in an automatic process environment. Using the near-infrared spectroscopy technology to monitor the manufacturing process ensures substantial savings in energy and time. We collect a time series of curves from a near-infrared spectrum…
Felix Zeller, Chieh-Min Hsieh, Wilke Dononelli, Tim Neudecker
The field of liquid-phase and solid-state high-pressure chemistry has exploded since the advent of the diamond anvil cell, an experimental technique that allows the application of pressures up to several hundred gigapascal. To complement high-pressure experiments, a large number of computational tools have been…
Sung-Won Hwang, Chung-Man Lim, Cong Truc Huynh, Hossein Moghimianavval + 3 more
Stimuli-responsive hydrogels are intriguing biomimetic materials. Previous efforts to develop mechano-responsive hydrogels have mostly relied on chemical modifications of the hydrogel structures. Here, we present a simple, generalizable strategy that confers mechano-responsive behavior on hydrogels. Our approach…
Xiumei Li, Marc Windsheimer, Sadeghi, Misha + 3 more
Efficient data compression is crucial for the storage and transmission of visual data. However, in facial expression recognition (FER) tasks, lossy compression often leads to feature degradation and reduced accuracy. To address these challenges, this study proposes an end-to-end model designed to preserve critical…
Authors not listed
Cost effective and reliable hydrogen compression remains a challenging barrier in the wide-spread adoption of hydrogen as an energy carrier. The prevailing technology of mechanical compression suffers from several drawbacks, some of which can be addressed by non-mechanical compression strategies (e.g., electrochemical…
Camila Gómez, Elkin A. Tenorio, Carlos Daniel Cadena
Ecologically relevant traits of organisms inhabiting an ecosystem determine its functional fingerprint. Quantifying changes in the shape, volume and shifts in the position of functional fingerprints can provide information about the effects of diversity loss or gain through time, and is a promising means to monitor…
Daniel Probst
Last year, a preprint gained notoriety, proposing that a k-nearest neighbour classifier is able to outperform large-language models using compressed text as input and normalised compression distance (NCD) as a metric. In chemistry and biochemistry, molecules are often represented as strings, such as SMILES for small…
Eric Schulz, Joshua B. Tenenbaum, David Duvenaud, Maarten Speekenbrink + 1 more
How do people recognize and learn about complex functional structure? Taking inspiration from other areas of cognitive science, we propose that this is achieved by harnessing compositionality: complex structure is decomposed into simpler building blocks. We formalize this idea within the framework of Bayesian…
Wenyi Lin, Jingjing Zou, Chongzhi Di, Dorothy D. Sears + 2 more
'Cheryl L. Rock' 'Loki Natarajan'] Accelerometers are widely used for tracking human movement and provide minute-level (or even 30 Hz level) physical activity (PA) records for detailed analysis. Instead of using day-level summary statistics to assess these densely sampled inputs, we implement functional principal…
Rashen Lou Omongos, Diego Galvez-Aranda, Franco Zanotto, Andras Vernes + 1 more
The gas diffusion layer (GDL) is a vital component within PEMFCs, playing a crucial role in mass and heat transport. Enhancing the microstructure of the GDL directly improves transport properties, thereby leading to more efficient and durable PEMFCs. In this study, we developed a novel machine learning methodology to…