-
crossref
Kazumi Sakata, Ryuzo Shingai
2004-06-24T03:14:10Z
置信度 0.70
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crossref
Neil Burgess, J L Shapiro, M A Moore
2015-08-18T16:04:00Z
置信度 0.70
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Abstract Image anomaly detection and localization perform not only image-level anomaly classification but also locate pixel-level anomaly regions. Recently, it has received much research attention due to its wide application in various fields. This paper propo…
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Chao Huang, Zhao Kang, Hong Wu
2024-05-08T14:02:17Z
置信度 0.70
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crossref
2022-12-01T18:12:48Z
置信度 0.70
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crossref
2003-04-25T01:05:53Z
置信度 0.70
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2003-04-25T01:05:53Z
置信度 0.70
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Jin Zhao, Qi Zhang, Caijie Qin, Tao Lu 等
2024-09-09T17:35:05Z
置信度 0.70
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crossref
Pallavi Ranjan, Rajeev Kumar, Ashish Girdhar
2024-02-20T09:03:54Z
置信度 0.70
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crossref
Sihui Li, Rui Zhang
2024-04-01T15:21:46Z
置信度 0.70
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crossref
2022-12-01T18:14:38Z
置信度 0.70
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crossref
Chao Huang, Hailong Huang, Yiying Zhang
2025-01-31T19:14:30Z
置信度 0.70
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crossref
Parita Oza, Paawan Sharma, Samir Patel
2023-11-20T14:01:45Z
置信度 0.70
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Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
2024-03-05T17:02:04Z
置信度 0.70
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crossref
Lina Massone, Tony Khoshaba
2002-08-25T02:35:54Z
置信度 0.70
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crossref
2022-12-01T05:28:48Z
置信度 0.70
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crossref
Rajeshreddy Datla, G. Swetha, C. Gayathri
2024-07-24T17:02:17Z
置信度 0.70
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crossref
Chih-En Kuo, Hao-Hsiang Wang, Tsung-Hua Lu
2024-09-09T17:35:05Z
置信度 0.70
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crossref
Zhengxin Chen, Xiaohai He, Tingrong Zhang, Shuhua Xiong 等
2024-07-22T23:23:35Z
置信度 0.70
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crossref
Chenyun Li, Guanhong Zhang, Odbal H
2024-11-08T16:11:55Z
置信度 0.70
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crossref
Jiao Wang, Jay Weitzen, Oguz Bayat, Volkan Sevindik
2024-09-09T17:02:27Z
置信度 0.70
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crossref
Senpeng Chen, Huan Li, Wenhong Wei, Ani Dong 等
2024-09-09T17:35:05Z
置信度 0.70
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crossref
Nan Li, Yu Wang, Haibo Zhang, Zhiqiang Li 等
2026-06-24T12:11:35Z
置信度 0.70
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crossref
2022-12-01T06:22:51Z
置信度 0.70
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crossref
A. Krikelis
2013-12-08T22:06:39Z
置信度 0.70
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crossref
Di Zhang
2024-08-10T02:16:44Z
置信度 0.70
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crossref
M. Syed Ali, S. Saravanan
2017-10-12T12:51:33Z
置信度 0.70
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Deep learning, a subset of AI, has gained popularity in various fields, including computer vision and NLP. It is based on artificial neural networks, which process multiple layers of data and extract high-level features automatically. Unlike traditional ML alg…
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Partha Ghosh, Suradhuni Ghosh
2024-04-15T14:46:13Z
置信度 0.70
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crossref
Baofu Duan, Yunqian Yang, Zhe Jing, Yuguan Wei 等
2024-10-09T17:45:15Z
置信度 0.70
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Takemori Orima, Yoshihiko Horio, Takeru Tsuji
2024-09-30T22:19:43Z
置信度 0.70
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crossref
Aushaf Cintya Wanda, Muhammad Yazid, Rachmad Setiawan
2025-02-19T18:39:16Z
置信度 0.70
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crossref
Xiangdong Hu, Lang Liu
2024-04-22T17:33:49Z
置信度 0.70
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crossref
2022-12-01T03:35:42Z
置信度 0.70
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crossref
Khoa Van Pham, Kyeong-Sik Min
2019-05-01T21:02:28Z
置信度 0.70
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crossref
Satoshi Nishida
2024-11-08T02:14:44Z
置信度 0.70
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crossref
P. Amos, S Narendran, M Keerthivasan
2024-10-22T17:25:30Z
置信度 0.70
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crossref
Ako Bartani, Fardin Akhlaghian Tab, Alireza Abdollahpouri, Mohsen Ramezani
2024-02-20T14:02:45Z
置信度 0.70
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crossref
Prasannavenkatesan Theerthagiri, A. Usha Ruby, J. George Chellin Chandran
2023-11-09T19:01:55Z
置信度 0.70
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crossref
Abeer Banerjee, Naval Kishore Mehta, Shyam Sunder Prasad, Himanshu Kumar 等
2024-09-09T17:35:05Z
置信度 0.70
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crossref
Baekrok Shin, Junsoo Oh, Hanseul Cho, Chulhee Yun
2025-11-03T11:20:56Z
置信度 0.70
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Leukemia limfoblastik akut merupakan jenis leukemia anak yang paling penting, dan menyumbang 25% dari kanker anak. Membedakan secara akurat prekursor sel normal dari sel kanker adalah kunci diagnosis leukemia limfoblastik akut. Namun, di bawah mikroskop, sel k…
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Mutaqin Akbar, Putri Taqwa Prasetyaningrum, Putry Wahyu Setyaningsih, Moh Ahsan 等
2024-09-05T13:11:31Z
置信度 0.70
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crossref
Weibin Feng, Yijun Liu, Wujian Ye, Dongjun Tan
2024-10-22T17:27:06Z
置信度 0.70
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crossref
Kehan Zhu, Fuyi Hu, Yuanbin Ding, Yunyun Dong 等
2024-09-09T17:35:05Z
置信度 0.70
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crossref
Tianda Fu, Shuai Fu, Siqi Wang, Jun Yao
2024-03-21T01:18:04Z
置信度 0.70
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crossref
Yuta Shiomi, Hiroyuki Torikai
2024-03-13T22:13:46Z
置信度 0.70
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crossref
Weidong Liu, Kaiyang Xiao, Jiamin Zhang, Bo Li
2024-09-09T17:35:05Z
置信度 0.70
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crossref
Siwei Li, Liang Meng, Lina Chen, Junbing Pan
2024-12-11T22:21:58Z
置信度 0.70
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Abstract In the field of object detection, there is often a high level of occlusion in real scenes, which can very easily interfere with the accuracy of the detector. Currently, most detectors use a convolutional neural network (CNN) as a backbone network, but…
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Chengwu Qian, Jiangbo Qian, Chong Wang, Xulun Ye 等
2024-02-07T12:02:22Z
置信度 0.70
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crossref
Elif Uğurgöl, Miray Altınkaynak, Demet Yeşilbaş, Turgay Batbat 等
2024-11-06T05:41:06Z
置信度 0.70
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crossref
Samuel Sells, Jie Zhang
2024-02-29T05:30:53Z
置信度 0.70
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Abstract Semantic Segmentation has been widely used in a variety of clinical images, which greatly assists medical diagnosis and other work. To address the challenge of reduced semantic inference accuracy caused by feature weakening, a pioneering network calle…
crossref
Yuefei Wang, Xi Yu, Yixi Yang, Shijie Zeng 等
2024-03-04T06:02:20Z
置信度 0.70
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crossref
Hongran Li, Hui Zhao, Chao Wei, Min Cao 等
2024-03-29T02:26:41Z
置信度 0.70
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crossref
Marcelle Tchepgoua Mbakop, Justin Roger Mboupda Pone, Priva Chassem Kamdem, Romanic Kengne
2024-12-10T03:52:25Z
置信度 0.70
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Background Water is the lifeblood of river networks, and its quality plays a crucial role in sustaining both aquatic ecosystems and human societies. Real-time monitoring of water quality is increasingly reliant on in-situ sensor technology. Anomaly detection i…
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Katie Buchhorn, Edgar Santos-Fernandez, Kerrie Mengersen, Robert Salomone
2024-03-28T12:30:06Z
置信度 0.70
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crossref
Wenhan Wang
2024-09-19T12:37:25Z
置信度 0.70
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crossref
Rabaya Mim, Abdus Satter, Toukir Ahammed, Kazi Sakib
2024-05-01T12:36:46Z
置信度 0.70
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crossref
Kraisak Phothongkum, Suwat Kuntanapreeda
2024-07-16T17:19:44Z
置信度 0.70
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crossref
Qifeng Liu, Xiangyuan Jiang
2025-02-13T18:29:08Z
置信度 0.70
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crossref
Jia Caifeng
2025-04-02T23:13:49Z
置信度 0.70
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crossref
2024-10-17T08:25:56Z
置信度 0.70
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crossref
Atika Gupta, Divya Kapil, Abhishek Jain, Harender Singh Negi
2024-07-26T17:21:23Z
置信度 0.70
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crossref
Muhammad Giat, Setiawan Hadi, Akmal
2025-03-26T06:37:35Z
置信度 0.70
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crossref
Ravanala Subhashini, Amudha V, S. Jency
2024-06-28T17:54:40Z
置信度 0.70
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crossref
Lu Chen, Tao Zhang, Yuanyuan Ma, Mu Chen
2024-11-04T18:31:50Z
置信度 0.70
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crossref
Jun Shang, Zhen Qiu, Mingwei Gao, Jinsheng Li
2024-10-08T13:34:48Z
置信度 0.70
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The article presents a technique for creating and training an artificial neural network to recognize network traffic anomalies using relatively small samples of collected data to generate training data. Various data sources for machine learning and approaches …
crossref
S. O. Ivanov
2024-01-19T06:25:28Z
置信度 0.70
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crossref
Ashalata Panigrahi, Manas Ranjan Patra
2024-09-20T13:01:53Z
置信度 0.70
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crossref
Xu E, Song Wang, Chenkao Liu
2025-05-12T17:41:47Z
置信度 0.70
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crossref
Jason Lee, Kazusato Oko, Taiji Suzuki, Denny Wu
2025-11-03T11:20:56Z
置信度 0.70
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The coupling between neurons can lead to diverse neural network architectures, with the Hopfield neural network (HNN) being particularly noteworthy for its resemblance to human brain function and its potential in modeling chaotic systems. This paper introduces…
crossref
Ningning Yang, Jiahao Liang, Chaojun wu, Zhenshuo Guo
2024-06-30T04:53:20Z
置信度 0.70
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With the development of artificial intelligence technology, it remains a challenge to improve the resistive switching performance of next-generation nonvolatile ferroelectric memristor device (FMD). Here, we report an epitaxial Na0.5Bi0.5TiO3 ferroelectric mem…
crossref
Lei Zhou, Yifei Pei, Changliang Li, Hui He 等
2024-02-28T11:36:39Z
置信度 0.70
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crossref
Sourav Mukherjee
2024-08-06T17:29:56Z
置信度 0.70
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crossref
Adeyemo Adedotun, Saurabh Khandelwal, Abusaleh Jabir
2024-01-18T14:07:54Z
置信度 0.70
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crossref
Tam Nguyen, Anh-Dzung Doan, Zhipeng Cai, Tat-Jun Chin
2025-11-03T11:20:56Z
置信度 0.70
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Various research efforts have been made to determine thunderstorm prediction methods, one of which involves using upper air data. However, the use of atmospheric stability threshold values as a reference does not always apply uniformly to all locations due to …
crossref
Indra Prawiro Adiredjo
2025-08-05T12:42:34Z
置信度 0.70
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This research aims to develop and evaluate a Convolutional Neural Network (CNN) model for signature identification. The CNN method is chosen for its capability to extract and analyze complex visual features from signature images. The data used in this study co…
crossref
Dechy Deswita Indriani.S, Elya Juni Arta Sinaga, Grace Oktavia, Hermawan Syahputra 等
2024-07-12T05:23:41Z
置信度 0.70
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crossref
Yaohui Lv, Xuefei Bai, Song Chen, Yi Kang
2024-12-31T19:22:54Z
置信度 0.70
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crossref
Malte Jahn
2023-12-19T12:01:28Z
置信度 0.70
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crossref
Leander Lizo, Jheanel Estrada
2024-11-14T18:35:39Z
置信度 0.70
-
For large eddy simulations (LES) of stratified turbulence in the strongly stratified regime, an artificial neural network (ANN) with five hidden layers is used to construct a sub-grid scale (SGS) model. The ANN is assessed by comparing it to the Smagorinsky mo…
crossref
Daisuke Nishiyama, Yuji Hattori
2024-05-13T09:56:35Z
置信度 0.70
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crossref
Theodore Wasserman, Lori Drucker Wasserman
2024-12-30T22:57:57Z
置信度 0.70
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crossref
Linen Li
2025-01-22T18:47:22Z
置信度 0.70
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crossref
Yeong-Kang Lai, Ling-Cheng Huang
2024-02-28T13:47:20Z
置信度 0.70
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Abstract Network selection in heterogeneous wireless networks (HWNs) is a complex issue that requires a thorough understanding of service features and user preferences. This is because the various wireless access technologies have varying capabilities and limi…
crossref
Saleem Abdullah, Ihsan Ullah, Fazal Ghani
2024-07-02T13:02:19Z
置信度 0.70
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crossref
2025-05-16T17:06:47Z
置信度 0.70
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In today's society, the demand for clean energy is essential. Traditionally, renewable sources such as hydropower, wind, and solar have provided sustainable solutions. Photovoltaic (PV) systems generate electricity from sunlight using semiconductor PV cells, w…
crossref
Kasim Ali Mohammad, Sarhan M. Musa
2024-07-26T01:18:48Z
置信度 0.70
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This paper outlines the development of a module capable of constructing a map-building algorithm using inertial odometry and visual features. It incorporates an object recognition module that leverages local features and unsupervised artificial neural networks…
crossref
Felipe Trujillo-Romero
2024-07-01T14:30:21Z
置信度 0.70
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The development of modern logistics chains is not just simple cargo transportation, it has become a cross-integrated industry that integrates many emerging technologies such as IoT technology, intelligent transportation, cloud computing and mobile Internet. Ba…
crossref
Shujuan Wu, Hanlie Cheng, Qiang Qin
2024-07-16T11:20:57Z
置信度 0.70
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This paper explores the use of a convolutional neural network (CNN) in burn skin diagnosis and prognosis. Leveraging a variety of labelled medical images, the model integrates to acquire comprehensive features. By enhancing diagnostic and prognostic accuracy, …
crossref
2024-08-13T11:02:30Z
置信度 0.70
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This study is devoted to the identification of human inner speech using an electroencephalogram (EEG), where inner speech refers to an individual's subjective experience of language, disconnected from discernible audible articulation. The core aim of this syst…
crossref
Sichu Sun
2024-02-21T21:19:38Z
置信度 0.70
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crossref
Ali Sedaghat Khankahdani, Ali Jamshidi
2025-01-21T18:23:03Z
置信度 0.70
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crossref
Sipho P Lafleni, Mbuyu Sumbwanyambe, Tlotlollo S Hlalele
2025-01-09T19:31:59Z
置信度 0.70
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crossref
Lizhao Zhang, Zhongliang Pan
2024-04-24T17:23:01Z
置信度 0.70
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crossref
Liang Qin, Huaxi Gu, Wenting Wei, Zhe Xiao 等
2024-06-13T18:55:51Z
置信度 0.70
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Abstract With the robust development of Artificial Intelligence (AI), especially image processing has made information technology more efficient and effective in the sense to evaluate facial features, even though there has been masked on the face. However, the…
crossref
Umara Khalid, Li Chen, Abdullah Ayub Khan, Faisal Mehmood
2024-02-19T19:41:40Z
置信度 0.70
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Abstract. Fluctuating process conditions, such as lubrication, can disturb the production process and lead to faulty components that have cracks or wrinkles. Real-time identification of process parameters can detect deviations in sheet forming operations and e…
crossref
Sebastian THIERY
2024-04-19T16:10:26Z
置信度 0.70
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crossref
D. Zhevnenko, F. Meshchaninov, V. Shmakov, E. Kharchenko 等
2024-12-30T10:11:16Z
置信度 0.70
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With the constant progress of the times and the rapid economic and social development, the demand for water consumption in the Hexi area of Xiangtan City is continuously rising. Ensuring the safety of urban water supply has become a crucial task. In this paper…
crossref
Wei Huang
2024-05-24T09:14:46Z
置信度 0.70
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In response to the global challenge of climate change and the shift away from fossil fuels, the accurate prediction of wind power generation is crucial for optimizing grid operations and managing energy storage. This study introduces a novel approach by integr…
crossref
Zhiyong Guo, Fangzheng Wei, Wenkai Qi, Qiaoli Han 等
2024-04-22T07:44:09Z
置信度 0.70
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crossref
Weibin Liu, Huaqing Hao, Hui Wang, Zhiyuan Zou 等
2025-01-03T07:07:27Z
置信度 0.70
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Abstract Accurately predicting the thrust of aero-engine is important for engine health management and engine performance control. Thrust prediction neural network models have been widely applied in recent years. This paper proposes a parameter augmentation pr…
crossref
Rui You, Hong Xiao, Guo Chen, Yufeng Liang
2024-08-28T19:31:35Z
置信度 0.70