-
crossref
zixin jiang, Xuezheng Wang, Bing Dong
2025-04-09T10:36:33Z
置信度 0.70
-
This research work on the well-known WM811K wafer map dataset intends to integrate the insights provided by wafer manufacturing techniques and the computing power of quantum convolutional neural networks (QCNN) approach. The work begins with demonstrating high…
crossref
Debajyoti Biswas, Shikha Marwaha, Sriya Atmakuru
2025-02-12T18:28:14Z
置信度 0.70
-
Ab initio density functional theory (DFT) calculations have been used to determine the band gap of the 2D layered material WSe2 under uniaxial strain. This involves finding optimised lattice parameters and calculating the electronic band structure. We also not…
crossref
Hamdi Dağıstanlı
2025-09-30T08:32:15Z
置信度 0.70
-
crossref
Aarat Prasad, Gufran Ahmad
2025-05-29T17:06:14Z
置信度 0.70
-
crossref
Ghazaleh Mohseni Hosseinabadi, Mehdi Nourinejad, Peter Y. Park
2025-01-17T17:41:27Z
置信度 0.70
-
crossref
2025-09-30T23:21:22Z
置信度 0.70
-
crossref
zixin jiang, Xuezheng Wang, Bing Dong
2025-05-14T07:36:46Z
置信度 0.70
-
Abstract This study investigates whether a variational quantum circuit can improve minority-class sensitivity when substituted for a single dense layer in a strong neural network baseline for credit-card fraud detection. Under matched parameter budgets and ide…
crossref
Yousaf Khaliq, Donglin Wang
2025-11-18T15:51:12Z
置信度 0.70
-
crossref
Shaolong Wei, Jiashuang Huang, Mingliang Wang, Shu Jiang 等
2025-03-12T13:52:43Z
置信度 0.70
-
crossref
Mario Marchand, Mostefa Golea
2002-08-25T02:35:54Z
置信度 0.70
-
crossref
J. Ezhilarasi, T. Senthil Kumar
2025-01-03T01:48:44Z
置信度 0.70
-
crossref
Thanh Do Tien, Thanh Trung Le
2025-10-24T01:49:53Z
置信度 0.70
-
crossref
zixin jiang, Xuezheng Wang, Bing Dong
2025-06-13T16:10:46Z
置信度 0.70
-
Hand gesture recognition is a key technology for improving prosthetic control and enhancing human-robot interaction. Traditional machine learning approaches struggle with real-time, low-power constraints in embedded systems. This paper proposes a hardware-base…
crossref
Ali Mehrabi, Gaetano Gargiulo
2025-06-10T00:23:28Z
置信度 0.70
-
crossref
2025-12-12T05:37:40Z
置信度 0.70
-
crossref
2003-04-25T05:05:53Z
置信度 0.70
-
crossref
Cerui Dong, Qinying Liu, Zilei Wang, Yixin Zhang 等
2025-01-24T03:55:55Z
置信度 0.70
-
crossref
Zhang Zhang, Ao Xu, Chao Li, Yadong Wei 等
2022-07-20T19:32:56Z
置信度 0.70
-
crossref
R. Eickhoff, T. Kaulmann, U. Ruckert
2006-10-30T17:35:23Z
置信度 0.70
-
crossref
safae hmaidi, Mohamed Lazaar, Yasser El Madani El Alami, Yassine Afoudi
2025-01-04T17:37:42Z
置信度 0.70
-
crossref
Yuanhua Wang, Siru Yin, Jun Li
2025-10-08T18:42:01Z
置信度 0.70
-
crossref
2003-04-25T01:05:53Z
置信度 0.70
-
The dissemination of edge devices drives new requirements for security primitives for privacy protection and chip authentication. Memristors are promising entropy sources for realizing hardware‐based security primitives due to their intrinsic randomness and st…
crossref
Junkyu Park, Yoonji Lee, Hakcheon Jeong, Shinhyun Choi
2021-10-09T05:57:44Z
置信度 0.70
-
crossref
Pavel P. Popov, Jay M. Arcities, Kaku Eduku
2025-09-15T20:40:19Z
置信度 0.70
-
This study introduces an innovative approach aimed at enhancing the accuracy of regional weather forecasts from the AROME model, covering northern Algeria. By leveraging AROME analysis, a refined representation based on real observations and widely used for mo…
crossref
Islam Bousri
2024-03-08T10:59:06Z
置信度 0.70
-
crossref
Shikang Du, Siyu Chen, Jiaqi He, Yu Fu 等
2025-08-25T17:40:03Z
置信度 0.70
-
crossref
Jipeng Li, Xueqiong Yuan, Ercan Engin Kuruoglu
2025-07-01T19:07:02Z
置信度 0.70
-
crossref
2025-08-25T21:09:14Z
置信度 0.70
-
crossref
2025-09-30T23:21:22Z
置信度 0.70
-
crossref
Zhenkun Liu, Yang Jia, Ling Chen, Haihui Jiang 等
2023-06-09T17:21:38Z
置信度 0.70
-
crossref
Saleh Alyahyan
2025-06-20T04:44:45Z
置信度 0.70
-
crossref
Jiwen Zhou, Yue Xu, Zinan Liu, Fabien Pfaender 等
2025-07-08T11:14:21Z
置信度 0.70
-
crossref
Anisha Anil Jadhav, Jaydeep Kishore, B.P. Joshi, Shweta Goyal
2025-12-19T18:56:35Z
置信度 0.70
-
crossref
Junwei Sun, Linhao Zhao, Shiping Wen, Yanfeng Wang
2023-05-10T23:55:53Z
置信度 0.70
-
crossref
Xi Yang, Pai Peng, Danyang Li, Yinghao Ye 等
2025-03-13T04:10:11Z
置信度 0.70
-
crossref
Evgenii S. Mityakov, Andrey I. Ladynin, Anna G. Shmeleva, Igor D. Kazakevich
2025-07-03T17:27:00Z
置信度 0.70
-
crossref
Liping Deng, Wen-Sheng Chen, Binbin Pan, MingQing Xiao
2024-10-18T17:31:51Z
置信度 0.70
-
crossref
Javidan Abdullayev, Maxime Devanne, Cyril Meyer, Ali Ismail-Fawaz 等
2025-11-14T18:46:15Z
置信度 0.70
-
crossref
Lina L E Massone, Tony Khoshaba
2015-08-18T16:04:48Z
置信度 0.70
-
crossref
Mina Yavari, Alireza Nazemi
2019-11-15T06:50:47Z
置信度 0.70
-
crossref
Osamu Hoshino
2006-12-06T20:56:13Z
置信度 0.70
-
crossref
M J Roberts
2015-08-18T16:04:08Z
置信度 0.70
-
crossref
Weihong Lin, Zhaoliang Chen, Yuhong Chen, Shiping Wang
2025-03-05T11:24:00Z
置信度 0.70
-
crossref
Asiye Nikseresht, Alireza Nazemi
2022-08-04T12:37:41Z
置信度 0.70
-
crossref
Ben Qian, Yunjie Gu, Changhe Wu, Yuan Mu 等
2025-12-08T17:13:50Z
置信度 0.70
-
crossref
2025-10-22T01:07:19Z
置信度 0.70
-
Abstract In current text sentiment analysis tasks, existing pre-trained language models are limited in fully grasping the intrinsic language features and deeply comprehending complex language structures. Classic neural network models struggle to adequately cap…
crossref
Peng Ai, Qicheng Liu
2024-06-30T22:44:50Z
置信度 0.70
-
crossref
S Poornima, Kodeeswara Kumaran G
2024-11-14T18:35:44Z
置信度 0.70
-
crossref
Shubhangi Chaturvedi, Poornima Singh Thakur, Pritee Khanna, Aparajita Ojha
2024-08-06T11:02:56Z
置信度 0.70
-
crossref
Han Bao, Jiahua Fan, Zhongyun Hua, Quan Xu 等
2025-05-27T13:24:55Z
置信度 0.70
-
crossref
2025-05-16T17:06:47Z
置信度 0.70
-
crossref
Ponugoti Kalpana, P. Srilatha, Gudepu Sai Krishna, Ahmad Alkhayyat 等
2024-10-01T17:23:43Z
置信度 0.70
-
crossref
Arman Behnam, Binghui Wang
2024-11-25T16:58:26Z
置信度 0.70
-
crossref
Sachin Gupta, Ashish Kumar Tripathi, Avinash Chandra Pandey
2024-10-10T05:02:19Z
置信度 0.70
-
crossref
Jun Wang, Changwang Lai, Yuanyun Wang, Wenshuang Zhang
2024-01-06T11:34:43Z
置信度 0.70
-
crossref
Hongtai Zeng, Chao Yang, Yanzhen Zhou, Cheng Yang 等
2025-11-03T11:20:56Z
置信度 0.70
-
crossref
Surendra Srinivas, Abhinav Jayaram, K Bhavadharani, K Somya Pant 等
2025-05-16T17:41:28Z
置信度 0.70
-
crossref
Kunpeng Wang, Shaopeng Pang, Xinghui Wang, Cheng Liu 等
2025-03-26T06:47:05Z
置信度 0.70
-
Abstract Due to their biological interpretability, memristors are widely used to simulate synapses between artificial neural networks. As a type of neural network whose dynamic behavior can be explained, the coupling of resonant tunneling diode-based cellular …
crossref
Fei 飞 Yu 余, Dan 丹 Su 苏, Shaoqi 邵祁 He 何, Yiya 亦雅 Wu 吴 等
2025-02-21T03:48:13Z
置信度 0.70
-
crossref
Fatma S. Alrayes, Mohammed Zakariah, Syed Umar Amin, Zafar Iqbal Khan 等
2024-07-09T09:18:58Z
置信度 0.70
-
crossref
Changwoo Lee, Soo Min Kwon, Qing Qu, Hun-Seok Kim
2025-11-03T11:20:56Z
置信度 0.70
-
crossref
Huiping Lyu, Youming Xin
2025-07-11T17:42:05Z
置信度 0.70
-
crossref
Debasish Swapnesh Kumar Nayak, Arpita Priyadarshini, Pabani Mahanta, Soumyarashmi Panigrahi 等
2025-02-06T18:33:30Z
置信度 0.70
-
crossref
Xin Wan, Yubin He, Min Liu
2024-10-01T17:23:43Z
置信度 0.70
-
crossref
2025-05-02T07:21:57Z
置信度 0.70
-
crossref
K.Y. Lee
2006-10-30T17:35:23Z
置信度 0.70
-
crossref
K. J. Hunt, D. Sbarbaro
2011-10-06T14:14:16Z
置信度 0.70
-
crossref
Alexander Sergeevich Bozhko
2026-06-11T14:06:02Z
置信度 0.70
-
crossref
David Huang
2024-11-19T16:04:45Z
置信度 0.70
-
crossref
Wei Li, Jisheng Lin, Xiangmao Cheng, Yao Li 等
2024-09-06T17:38:15Z
置信度 0.70
-
crossref
M. Maheswari, Haider Alabdeli, Aruna T M, R. Archana Reddy 等
2024-10-01T17:23:43Z
置信度 0.70
-
crossref
Anthony Dekker
2002-08-25T02:35:54Z
置信度 0.70
-
crossref
Francesco Marrone, Gianluca Zoppo, Fernando Corinto, Marco Gilli
2021-09-13T22:17:52Z
置信度 0.70
-
crossref
A. Venkat Rao, G. Suresh Babu, P. Satish Kumar
2024-07-09T14:49:28Z
置信度 0.70
-
crossref
Nan Wang, Yi Li, Wei Jiang, Zhen'an Qin 等
2024-02-01T01:39:05Z
置信度 0.70
-
Abstract This paper presents a deep learning enhanced adaptive unscented Kalman filter (UKF) for predicting human arm motion in the context of manufacturing. Unlike previous network-based methods that solely rely on captured human motion data, which is represe…
crossref
Wansong Liu, Sibo Tian, Boyi Hu, Xiao Liang 等
2024-08-29T16:16:10Z
置信度 0.70
-
crossref
Qingtian Zou, Lan Zhang, Xiaoyan Sun, Anoop Singhal 等
2024-05-02T17:20:58Z
置信度 0.70
-
crossref
2025-06-23T04:13:43Z
置信度 0.70
-
crossref
Chun Zhao, Guang You Zhou, Ce Zhou Zhao, Li Yang 等
2019-02-25T21:10:07Z
置信度 0.70
-
crossref
Maciej Lewenstein, Mariusz Olko
2015-08-18T20:04:03Z
置信度 0.70
-
crossref
Jiahang Cao, Mingyuan Sun, Ziqing Wang, Hao Cheng 等
2025-11-03T11:20:56Z
置信度 0.70
-
crossref
Hiroaki Kurokawa, Chun Ying Ho, Shinsaku Mori
2002-07-25T22:54:47Z
置信度 0.70
-
crossref
Zih-Syuan Huang, Ching-Pei Lee
2025-11-03T11:20:56Z
置信度 0.70
-
crossref
Ishan Bhateja, Palak Chaturvedi, Kanishka Thakran, Anshul Arora
2024-07-12T17:34:35Z
置信度 0.70
-
One of the essential issues in network-based systems is a fault attack which is caused by intrusion. It is the responsibility of intrusion detection to provide capabilities such as adaptation, fault tolerance, high computational speed, and error resilience in …
crossref
Amin Dastanpour, Amirabbas Farizani, Raja Azlina Raja Mahmood
2024-12-16T17:00:06Z
置信度 0.70
-
crossref
2026-01-09T08:00:28Z
置信度 0.70
-
crossref
Eileen Nolan
2023-08-18T04:08:02Z
置信度 0.70
-
crossref
Anuj Khanvilkar, Siddhi Gothivrekar, Mann Jain, Ujjawal Mishra 等
2024-10-01T17:23:43Z
置信度 0.70
-
Network traffic is one of the most important actual indicators of the information and telecommunication system (ITS) of railway transport. Recent studies show that network traffic in the ITS of railway transport is self-similar (fractal), for the study of whic…
crossref
Igor Zhukovytskyy, Victoria Pakhomova
2024-01-24T09:07:23Z
置信度 0.70
-
crossref
Chao-Ran Wang, Chang-Tao Wang, Dan Shan, Bao-Long Yuan
2024-11-12T18:17:00Z
置信度 0.70
-
crossref
Tejonidhi M R, Santosh Kumar Sahoo, Manjula B M, Thota Soujanya 等
2024-10-01T17:23:43Z
置信度 0.70
-
crossref
Eric Qu, Aditi Krishnapriyan
2025-11-03T11:20:56Z
置信度 0.70
-
crossref
Chunlai Li, Shulun Tan, Xuanbing Yang, Zhijun Li 等
2026-01-20T20:39:50Z
置信度 0.70
-
crossref
Jakob Bernasconi, Karl Gustafson
2002-08-24T22:35:54Z
置信度 0.70
-
crossref
Bhoompally Venkatesh, B. V. Ramnaresh Yadav
2024-11-26T05:07:53Z
置信度 0.70
-
crossref
2007-10-28T00:36:19Z
置信度 0.70
-
This paper mainly studies the synchronization problem of memristor-based bidirectional associative memory neural networks (MBAMNNs) via finite-time technology. Different from the existing neural network dynamic models, the given model in this paper is focused …
crossref
Lili Zhou, Huiying Zhang, Fei Tan, Kaiyue Liu
2024-01-06T07:51:52Z
置信度 0.70
-
crossref
Fang Lin, Tiancheng Gu, Wen Liu
2024-07-22T17:33:12Z
置信度 0.70
-
crossref
Yaqi Wang, Cunang Jiang, Shixin Luo, Yu Dai 等
2024-08-03T12:57:10Z
置信度 0.70
-
crossref
Junyu Chen, Long Shi, Badong Chen
2024-11-02T16:37:34Z
置信度 0.70