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Abstract Memristor-integrated passive crossbar arrays (CAs) could potentially accelerate neural network (NN) computations, but studies on these devices are limited to software-based simulations owing to their poor reliability. Herein, we propose a self-rectify…
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Kanghyeok Jeon, Jin Joo Ryu, Seongil Im, Hyun Kyu Seo 等
2024-01-02T10:07:20Z
置信度 0.70
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Allowing atoms or molecules to disappear is a critical step in alchemical free energy simulations (FES). The necessary tricks are well understood when using force fields. Over the past few years, neural network potentials (NNPs) have seen rapid development. Th…
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Anna Katharina Picha, Sara Tkaczyk, Marcus Wieder, Stefan Boresch
2025-05-05T04:15:41Z
置信度 0.70
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Abstract Early and accurate prediction of Alzheimer’s disease (AD) from accessible clinical data remains a significant challenge in healthcare. This study proposes ALTARN, a tabular attention residual neural network architecture for robust classification of AD…
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2025-10-23T17:45:12Z
置信度 0.70
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Mathematical modeling plays a crucial role in supporting decision-making across a wide range of scientific disciplines. These models often involve multiple parameters, the estimation of which is critical to assessing their reliability and predictive power. Rec…
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Dimitris Kastoris, Dimitris Papadopoulos, Konstantinos Giotopoulos
2025-06-29T21:04:00Z
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In the previous article, we introduced a neural network framework based on symmetric differential equations. This novel framework exhibits complete symmetry, endowing it with perfect mathematical properties. While we have examined some of the system’s mathemat…
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Kun Jiang
2025-07-15T08:04:41Z
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2025-09-30T23:21:22Z
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2025-10-20T17:29:31Z
置信度 0.70
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2025-02-27T15:12:27Z
置信度 0.70
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A Vishnupriya, Adarsh Tiwary
2025-05-23T17:02:43Z
置信度 0.70
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2025-02-28T14:45:41Z
置信度 0.70
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2025-09-01T19:14:02Z
置信度 0.70
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2026-01-28T20:54:45Z
置信度 0.70
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2026-02-26T20:42:16Z
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2025-02-18T14:43:34Z
置信度 0.70
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This study analyses the potential of artificial neural networks (ANN) in accurately predicting potato yields based on 11 parameters characterising the soil environment. Accurate yield forecasting is crucial for optimising potato production, especially in the c…
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Magdalena Piekutowska, Gniewko Niedbała
2025-08-01T00:47:06Z
置信度 0.70
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Hongjin Ren, Ruiping Niu, Dengao Li, Hongen Jia 等
2025-08-05T20:37:01Z
置信度 0.70
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Abstract This study presents an enhanced convolutional neural network (CNN) architecture tailored for accurate facial expression recognition. The model is trained on the FER2013 dataset and evaluated using both FER2013 and a custom dataset containing natural f…
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Prof. Prakash Sangle
2025-04-22T18:28:44Z
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BACKGROUND The accumulation of mucus in the airways is a serious health problem as it can obstruct airflow and impair lung function. This condition is typically managed by suctioning the mucus and performing manual chest clapping, which involves repeatedly pat…
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Agus Khumaidi Khumaidi
2025-10-02T06:30:07Z
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2025-10-21T22:59:05Z
置信度 0.70
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Akram Miriyev, Wolf-Gerrit Fruh
2025-04-09T15:37:33Z
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2025-11-10T23:13:31Z
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A Rectilinear Steiner Minimum Tree (RSMT) is the shortest (in Manhattan distance) tree to interconnect a given set of 2D points called pins of a net, formed by joining only vertical and horizontal line (wire) segments through the pins and a few extra points ca…
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2025-03-31T17:20:23Z
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Abstract Recent studies have demonstrated that Radial Basis Function Neural Networks (RBFNNs), based on traditional methods like gradient descent, frequently produce local approximates after training. This motivation led us to propose an RBFNN-based novel hybr…
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Turbidites have been widely studied as indicators of the occurrences and magnitudes of paleo-tsunamis and paleo-earthquakes. Inversion to estimate the flow conditions from turbidites offers valuable insights into the magnitudes of paleo-seismic and tsunami eve…
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Seiya Fujishima, Hajime Naruse
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2025-01-08T23:38:37Z
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2025-08-25T21:09:14Z
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The transition to a zero-emission vehicle fleet represents a pivotal element of Europe's decarbonization strategy, with Italy's participation being particularly significant given the size of its automotive market. This study investigates the potential for batt…
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Monica Bonacina, Mert Demir, Antonio Sileo, Angela Zanoni
2025-09-02T08:54:33Z
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2011-12-02T14:54:17Z
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2025-09-17T17:29:13Z
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2025-11-14T18:46:15Z
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P Del Giudice, S Fusi, D Badoni, V Dante 等
2002-08-25T02:35:54Z
置信度 0.70
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2002-08-25T02:35:54Z
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Xiangjun Wu, Shuo Ding, Ning Zhao, Huanqing Wang 等
2025-06-18T13:53:02Z
置信度 0.70
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Abstract Among the catastrophic natural events posing hazards to human lives and infrastructures, fire is the phenomenon causing more frequent damages. Thanks to the spread of smart cameras, video fire detection is gaining more attention as a solution to monit…
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Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento
2025-01-09T04:02:44Z
置信度 0.70
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Abstract Graduate students exhibit a higher propensity for nocturnal hypertension episodes compared to the general working population. This study investigated the correlation between blood pressure and various physiological parameters, developing a continuous …
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2025-09-30T23:21:22Z
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Stochastic computing (SC) offers significant reductions in hardware complexity for traditional convolutional neural networks (CNNs). However, despite its advantages, stochastic computing neural networks (SCNNs) often suffer from high resource consumption due t…
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2025-12-16T21:29:53Z
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2025-10-25T16:39:01Z
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This study is dedicated to enhancing the efficiency of industrial polyvinyl chloride synthesis via the suspension polymerization of vinyl chloride. Research has been conducted on constructing the "temperature trajectory" of the suspension polymerization proces…
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2026-02-03T12:32:17Z
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2025-09-30T23:21:22Z
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2025-09-30T23:21:22Z
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Free Space Optics (FSO) provides a promising alternative where fiber-optic deployment is impractical due to cost or fragility. However, FSO performance is highly vulnerable to atmospheric disturbances such as fog, rain, and dust, which can significantly degrad…
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2025-05-06T10:25:22Z
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Flexoelectricity, the coupling between strain gradients and electric polarization, poses significant computational challenges due to its governing fourth-order partial differential equations that require C¹-continuous solutions. To address these issues, we pro…
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The matric potential plays a pivotal role in understanding of water movement, plant water availability, and mechanical stability. In lack of direct measurements, the matric potential dynamics must be deduced from soil water content values, using the soil water…
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2025-10-21T22:59:05Z
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Neural networks are fundamental concept in artificial intelligence and machine learning, inspired by the structure and function of the human brain. A neural network is a computational model composed of interconnected nodes (called neurons or units) organized i…
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2025-11-14T18:46:15Z
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Over the past decades, global ocean oxygen inventories have declined by 0.5–3.3% relative to historical averages, with significant uncertainties in data-sparse regions such as the South Pacific and Indian Oceans. These gaps hinder accurate estimates …
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2025-06-25T16:44:34Z
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2025-02-11T16:14:26Z
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Earth remote sensing algorithms for spaceborne passive microwave sensors depend on high quality observations of top-of-atmosphere radiances. When these observations are adversely affected by non-geophysical processes, such as radio frequency interference (RFI)…
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Speech recognition involves the ability to learn the audios which are closely related to event sequence. Although speech recognition has been widely implemented in software neural networks, a hardware implementation based on energy efficient computing architec…
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2021-10-21T04:19:43Z
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Abstract Accurate stock price forecasting remains a critical challenge in financial analytics due to volatile market conditions, non-stationary dynamics, and abrupt regime shifts that often defy traditional modeling techniques. This study proposes a comprehens…
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2025-08-15T21:06:09Z
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2025-10-20T03:08:04Z
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