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Chenxuan Sun, Zheng Liu, Xiaolong Wu, Hongyan Yang 等
2024-02-07T18:52:50Z
置信度 0.70
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Abstract Purpose: MicroRNAs are tiny non-coding RNA sequences that regulate gene expressions and play crucial roles in controlling cell activities. They function by binding to their target messenger RNAs (mRNAs) and suppressing protein synthesis. Detecting the…
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Mohammad Mohebbi, Ethan Bennett, Phillip Williams
2024-12-04T13:29:59Z
置信度 0.70
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Abstract Deep neural networks have achieved impressive performance on a huge amount of tasks and many model zoos are available that provide pre-trained models for free download. Despite the convenience, it is still difficult for the resource-constrained compan…
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Ying Yang, Xiao Lv
2024-03-21T17:59:17Z
置信度 0.70
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Jing Nan, Yan Qin, Wei Dai
2024-01-10T16:33:10Z
置信度 0.70
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Time-Aware RNN (TA-RNN) and TA-RNN-Autoencoder (TA-RNN-AE) are two deep learning architectures for early predicting of clinical outcomes in Electronic Health Record (EHR) at the next visit and multiple visits ahead for patients, respectively. To mitigate the i…
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Mohammad Al Olaimat, Serdar Bozdag
2025-11-21T15:12:06Z
置信度 0.70
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Xiang Li, Xueyun Cheng, Xinyu Chen, Zhijin Guan 等
2024-07-30T18:34:42Z
置信度 0.70
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Abstract The rapid development of quantum computers promises transformative impacts across diverse fields of science and technology. Quantum neural networks (QNNs), as a forefront application, hold substantial potential. Despite the multitude of proposed model…
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Lucas Friedrich, Jonas Maziero
2024-02-12T04:00:45Z
置信度 0.70
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Abstract Left-right orientation misidentification in brain MRIs presents significant challenges due to several factors, including metadata loss or ambiguity, which often occurs during the de-identification of medical images for research, conversion between ima…
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Kei Nishimaki, Hitoshi Iyatomi, Kenichi Oishi
2024-02-27T13:24:35Z
置信度 0.70
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Recently, the integration of neural networks into robotic exoskeletons for physical rehabilitation has become popular due to their ability to interpret complex physiological signals. Surface electromyography (sEMG), electromyography (EMG), electroencephalograp…
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Sk Hasan, Nafizul Alam, Gazi Abdullah Mashud, Subodh Bhujel
2024-11-05T19:52:06Z
置信度 0.70
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2025-10-22T01:07:19Z
置信度 0.70
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Hironaka Tsukagoshi
2024-02-13T03:07:40Z
置信度 0.70
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Yanfang Pan, Huan Xiong, Shiyu Wang, Benxiao Lou 等
2024-04-22T17:33:49Z
置信度 0.70
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R. Manivannan
2023-12-08T02:31:37Z
置信度 0.70
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Accurate forecasting of wind power is essential for maintaining the stability and efficiency of power networks as renewable energy sources become more integrated. This study proposes a multilevel spatial-temporal graph convolution network (MLAGCN) for wind pow…
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Oluwaseun E. Duntoye, Kowovi C. Alowonou, Do-Hoon Kwon
2025-12-10T03:06:26Z
置信度 0.70
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Y. Ke, C.W. Liu, Shi-Shun Zhang
2025-03-03T16:06:57Z
置信度 0.70
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2025-12-19T15:21:29Z
置信度 0.70
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Acquiring position, orientation, and sensitivity of magnetometers in a helmet-shaped sensor array is crucial for accurate current source reconstruction in magnetoencephalography. To determine these parameters for each magnetometer, we utilize a spherical calib…
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Yoshiaki Adachi, Daisuke Oyama, Gen Uehara
2025-03-04T22:38:57Z
置信度 0.70
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2025-10-01T00:21:31Z
置信度 0.70
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2025-08-25T21:09:14Z
置信度 0.70
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Abstract Epileptic seizure detection using electroencephalogram (EEG) signals remains a challenging problem in neuroscience and biomedical engineering. In this study, we propose DiffNet, a novel Diffusion Convolutional Neural Network (DCNN) designed for accura…
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Laxmi Shaw, D. Ajitha, Sai Chakradhar Induvasi
2025-05-06T12:01:51Z
置信度 0.70
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N. L. Dai, D. H. Xu, Yufei Gao
2025-01-04T19:41:37Z
置信度 0.70
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Abstract Accurate prediction of surface upward longwave radiation (SULR) is crucial for understanding Earth’s energy balance and climate dynamics. Traditional approaches, such as physical models and empirical regressions, often fail to handle the complexity an…
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Kun Liu
2025-04-29T10:11:03Z
置信度 0.70
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Mustafa Mohammadi Gharasuie, Luis Rueda
2026-01-27T23:27:43Z
置信度 0.70
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2025-01-24T16:05:47Z
置信度 0.70
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Recurrent neural network for identification of dynamic objects is proposed. The network uses weigh sum of neural network output signal and dynamic object output signal (teacher forcing). Such combine training guarantees a reduction of time learning and a safet…
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V.P. Kuznetsov
2025-09-03T07:25:27Z
置信度 0.70
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Mridul Banik
2025-12-08T09:41:57Z
置信度 0.70
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2020-04-01T05:07:37Z
置信度 0.70
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Xiwen Gao
2025-05-28T16:35:44Z
置信度 0.70
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John Bradburn, Mustafa Aksoy, Lennox Apudo
2025-11-25T18:26:49Z
置信度 0.70
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Yi Xiang, Biwen Li
2018-02-07T20:44:10Z
置信度 0.70
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Madina Kenzhina, Irina Dolzhikova
2018-10-30T06:31:38Z
置信度 0.70
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crossref
Lubica Ben˘us˘ková
2015-08-18T20:04:22Z
置信度 0.70
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crossref
Daniel J Amit, Nicolas Brunel
2015-08-18T20:04:50Z
置信度 0.70
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Kin Wa Kwan, Alfonso Hing Wan Ngan
2025-08-15T21:06:09Z
置信度 0.70
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2020-09-01T03:15:22Z
置信度 0.70
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Mohsin Ali Qazi, Dong Hsiao Chiang
2025-12-17T09:50:19Z
置信度 0.70
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crossref
2025-09-30T23:21:22Z
置信度 0.70
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crossref
Miriam Mathias Gigi, Jacyra Soares, Marcos Orlando
2025-09-18T01:36:57Z
置信度 0.70
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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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Mohammad Sikder, Fahim Sakib, Md Lokman Hossen
2025-05-06T10:25:23Z
置信度 0.70
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2025-09-30T23:21:22Z
置信度 0.70
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Abstract Supply chain management is in a period of rapid development, and future competition in the distribution industry will be centered around competition between supply chains. Agricultural product distribution, as an important part of modern distribution,…
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lu zheng
2025-06-09T04:41:20Z
置信度 0.70
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In the evolving realm of autonomous vehicle navigation, the integration of fuzzy logic and neural networks presents a formidable challenge, particularly in the context of real-time, on-the-fly neural network training. This paper addresses the gap in dynamic an…
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Ammar Alzaydi, Kahtan Abedalrhman, Ibrahim Alotaibi, Fahad Alessa
2025-01-27T13:16:57Z
置信度 0.70
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2025-12-15T09:34:17Z
置信度 0.70
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Quan Li
2026-01-22T20:58:23Z
置信度 0.70
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We demonstrate silicon-photonic 32-input optical neural network based on multi-plane light conversion (MPLC). Thanks to the superior scalability of MPLC, image classification task is achieved with >90% accuracy using one-tenth the number of phase shifters.
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Chun Ren, Ryota Tanomura, Kazuki Ichinose, Yoshiaki Nakano 等
2025-09-24T20:07:18Z
置信度 0.70
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Doowon Lee, Myoungsu Chae, Jinsu Jung, Hee-Dong Kim
2023-05-10T20:46:27Z
置信度 0.70
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Youa Raj Chettri, Dheeraj Kumar Prasad, Rahul Shah
2025-12-23T15:22:31Z
置信度 0.70
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2025-06-05T09:24:51Z
置信度 0.70
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Shiyu Zheng
2026-01-22T20:58:29Z
置信度 0.70
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Yongbin Yu, Xiangxiang Wang, Xiao Feng, Jiarun Shen 等
2025-04-26T14:14:47Z
置信度 0.70
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crossref
Olusegun O. Odewole, Fadi Al-Turjman
2025-01-18T22:36:33Z
置信度 0.70
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Here we research the multivariate quantitative approximation of complex valued continuous functions on a box of RN , N ∈ N, by the multivariate normalized type neural network operators. We investigate also the case of approximation by iterated multilayer neura…
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2025-03-30T13:45:13Z
置信度 0.70
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Vladyslav Khotunov, Maksym Lutsenko, Stanislav Marchenko
2025-10-06T20:18:06Z
置信度 0.70
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crossref
I.S. Reljin, B.D. Reljin
2003-06-26T00:51:07Z
置信度 0.70
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The ground-source heat pump (GSHP) is an efficient thermal exchange system that utilizes natural environmental heat for heating and cooling. Heat exchange efficiency depends not only on factors such as pipe material and diameter but also on groundwater's flow …
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Che-Wei Liang, Jui-Pin Tsai
2024-03-08T16:44:50Z
置信度 0.70
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Leon Beleña, Pablo Hidalgo
2025-05-21T01:39:03Z
置信度 0.70
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2025-10-21T22:59:05Z
置信度 0.70
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crossref
Hossein Naderi, Roozbeh Dargazany
2025-05-15T12:40:54Z
置信度 0.70
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Abstract Epilepsy is a neurological disorder characterized by sudden and recurrent seizures caused by abnormal electrical activity in the brain. Responsive Neurostimulation (RNS) offers a promising treatment option for patients with drug-resistant epilepsy. Re…
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Moemi Yamaji, Shinjiro Yamamasu, Yuto Hirano, Yuki Hayashida
2025-02-05T18:55:21Z
置信度 0.70
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Zhou Wu, Junyi An, Baile Xu, Jian Zhao 等
2025-11-19T11:57:19Z
置信度 0.70
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crossref
2025-05-31T17:07:02Z
置信度 0.70
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crossref
2025-11-26T02:49:16Z
置信度 0.70
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crossref
Rajasekaran Arunachalam, J Mohana
2026-01-21T21:06:29Z
置信度 0.70
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Yiren Shen, Juan Alonso
2025-07-16T21:24:43Z
置信度 0.70
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Zoubida Ameur, Frédéric Lefebvre, Philippe Delagrange, Miloš Radosavljević
2025-08-18T19:41:38Z
置信度 0.70
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Abstract The exploration of new problem classes for quantum computation is an active area of research. In this paper, we introduce and solve a novel problem class related to dynamics on large-scale networks relevant to neurobiology and machine learning. Specif…
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Gabriel Silva
2025-08-25T14:29:20Z
置信度 0.70
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Abstract We present a geometric neural network-based tracking controller for systems evolving on matrix Lie groups under unknown dynamics, actuator faults, and bounded disturbances. Leveraging the left-invariance of the tangent bundle of matrix Lie groups, vie…
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Robin Chhabra, Farzaneh Abdollahi
2025-09-02T03:45:06Z
置信度 0.70
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crossref
Hongying He
2025-02-19T16:42:12Z
置信度 0.70
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crossref
Alex Pappachen James
2015-06-02T15:08:38Z
置信度 0.70
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Di Su
2025-03-28T02:45:26Z
置信度 0.70
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crossref
M. Divya, A. Karthikeyan
2025-03-28T02:45:26Z
置信度 0.70
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crossref
İlker Gür, Ferhat Atasoy
2025-11-11T18:26:25Z
置信度 0.70
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crossref
Hongyun Liu, Weidong Liu
2025-10-10T17:34:54Z
置信度 0.70
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crossref
Lei Cui
2025-03-28T02:45:26Z
置信度 0.70
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crossref
Hu Cui, Tessai Hayama
2025-11-14T18:46:15Z
置信度 0.70
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crossref
Zhe Zhang, XingYu Wang
2025-09-17T17:29:13Z
置信度 0.70
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crossref
2014-07-01T03:02:21Z
置信度 0.70
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crossref
Qi Cao, Binchi Wang, Chunni Wang
2026-04-28T04:07:10Z
置信度 0.70
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crossref
Jeng-Sheng Huang, Hsiao-Chung Liu
2015-08-18T16:04:59Z
置信度 0.70
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Artificial neural networks (ANNs) are powerful models inspired by the structure and function of the human brain. They are widely used for tasks such as classification, prediction, and model recognition. This study examines the stability of fractional-order neu…
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Asif Ullah, Muhammad Shuaib
2025-10-10T00:18:26Z
置信度 0.70
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crossref
2025-12-19T15:21:29Z
置信度 0.70
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Abstract Similar approaches are very useful in Vehicular Ad Hoc Networks in which: a flood of traffic and events occurs, especially in Intelligent Transportation Systems (ITS), as congestion control can have a huge impact in efficient traffic field and communi…
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Santosh Kumar Maharana, Prashanta Kumar Patra
2025-05-07T11:51:59Z
置信度 0.70
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Zhihang Xu, Min Wang, Zhu Wang
2025-06-24T14:51:49Z
置信度 0.70
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Zichun Zhou, Chen Ming, Yiyang Sun
2025-11-07T14:43:13Z
置信度 0.70
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Pinghao Wang, Normalia Samian, Azizol ABDULLAH, Winston Seah
2025-09-04T12:39:39Z
置信度 0.70
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2025-11-26T02:49:16Z
置信度 0.70
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This paper presents a method for locating a wireless signal source using signal strength measurements taken along the border of a 256x256-m 2 area. The method leverages a deep Residual Neural Network (ResNet) to predict the location of the transmitter within t…
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Arash Ahmadi, Abhiroop Bhattacharya, Fabrice Vaussenat, Sylvain G. Cloutier 等
2025-03-05T22:29:54Z
置信度 0.70
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2025-09-30T23:21:22Z
置信度 0.70
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Ghazaleh Mohseni Hosseinabadi, Mehdi Nourinejad, Peter Y. Park
2025-02-12T08:49:01Z
置信度 0.70
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Widianto Eka Saputro
2025-01-09T21:56:08Z
置信度 0.70
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The increasing adoption of deep neural networks (DNNs) in critical domains such as healthcare, finance, and autonomous systems underscores the growing importance of explainable artificial intelligence (XAI). In these high-stakes applications, understanding the…
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Su-Ying Guo, Xiu-Jun Gong
2025-04-01T01:29:14Z
置信度 0.70
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Qimin Zhou, Hui Xv, Jingyu Li, Weiping Yang 等
2025-10-15T21:40:32Z
置信度 0.70
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Abstract In this paper, a computer simulation of round wire drawing processes with different equations of state for steel A12 has been carried out. In addition, the methods of improving the configuration of neural networks based on multilayer perceptron (MLP) …
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Dmitriy Demin, Ilya Grebenkin, Alexey Barinov
2025-06-06T14:23:29Z
置信度 0.70
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We developed a novel system that quickly predicts cross-sectional images from experimental conditions to minimize cross-sectional processing. This has become a bottleneck in observing pattern shapes of materials used in substrate manufacturing. This system can…
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Kohei Motojima, Hayato Sugiyama, Kaede Ameyama, Chiho Ueta
2025-11-17T19:49:47Z
置信度 0.70
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Weitao Tan, Zhang Yi
2025-11-14T18:46:15Z
置信度 0.70
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2025-12-19T06:14:56Z
置信度 0.70
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Jian Huang, Wenhui Zhang, Bin Liu
2025-10-10T17:34:54Z
置信度 0.70
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Zhiyi He
2025-12-02T18:44:58Z
置信度 0.70
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Yogesh Beeharry, Didier Gael Daryl Emilien
2025-04-21T17:36:15Z
置信度 0.70
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Xuehua Li
2025-05-16T17:41:28Z
置信度 0.70