-
crossref
Miao Zhigang, Cao Ying, Wang Tao
2025-06-19T02:44:02Z
置信度 0.70
-
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Wasut Pornpatcharapong
2025-12-23T18:29:39Z
置信度 0.70
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crossref
G.M.M.K. Aponso, J. Thusyanthan, W.I.U.D. Wellahewa, C. Hettiarachchi
2025-11-07T18:08:25Z
置信度 0.70
-
crossref
Svetlin Georgiev
2025-03-29T23:11:50Z
置信度 0.70
-
crossref
Ruihan Sun
2025-09-05T18:05:15Z
置信度 0.70
-
Abstract Accurately estimating the interaction between tool string, cable, and wellbore is essential for wireline conveyance design and operational risk evaluation. Traditional physics-based models suffer from inaccuracies due to simplifications and uncertain …
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J. Wang, N. Baklanov, B. Durand
2025-03-18T04:21:37Z
置信度 0.70
-
crossref
2022-12-01T18:12:48Z
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
Nirmal Dhakal
2022-06-10T18:32:33Z
置信度 0.70
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Mohammed E. Fouda, Fadi Kurdahi, Ahmed Eltawil, Emre Neftci
2020-06-26T05:29:04Z
置信度 0.70
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Arief Kurniawan, Syahrul Fathoni Ahmad, Diah Puspito Wulandari
2026-01-13T20:56:15Z
置信度 0.70
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crossref
2024-11-20T08:47:33Z
置信度 0.70
-
Deep learning algorithms are a subset of machine learning algorithms that aim to discover multiple levels of distributed representations of input data. Recently, many deep learning algorithms have been proposed to solve traditional artificial intelligence prob…
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Alireza Heidari
2026-01-02T05:04:30Z
置信度 0.70
-
crossref
Qingbo Sun
2026-03-25T19:52:56Z
置信度 0.70
-
crossref
Rongsheng Fan, Jun Liu
2025-11-14T18:46:15Z
置信度 0.70
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crossref
Jing He
2025-06-10T12:34:59Z
置信度 0.70
-
crossref
2020-12-02T00:22:01Z
置信度 0.70
-
In the past decade, the development of the Deep Neural Network formalism has emerged as a promising approach for addressing contemporary task in seismology, particularly in the effective and potentially automated processing of extensive datasets, such as seism…
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Petr Kolar, Matěj Petružálek, Jan Šílený, Tomáš Lokajíček
2024-03-08T18:18:58Z
置信度 0.70
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crossref
Shao-Qun Zhang, Yong-Ming Tian, Zong-Yi Chen, Xun Lu
2025-09-10T13:41:30Z
置信度 0.70
-
In this paper we propose to automate the classification of reflector types by TOFD-echoes using ResNet-18 convolutional neural network. The main focus is on modeling and classification of reflectors such as cracks, pores, non-welds and void areas. Experiments …
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E.G. Bazulin
2026-03-04T07:16:57Z
置信度 0.70
-
Ceylon cinnamon, endemic to Sri Lanka, holds significant culinary, medicinal, and economic value, reinforcing the country’s position as the leading global exporter of authentic cinnamon. However, current processing techniques, particularly manual peeling and q…
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A.A. Darshani, D.C. Hewavitharana, A.D.U.S. Amarasinghe, J.R. Gamage
2026-04-10T09:54:05Z
置信度 0.70
-
crossref
2025-09-30T23:45:21Z
置信度 0.70
-
This paper introduces a novel framework that integrates neural network operators with Markov Chain Monte Carlo (MCMC) methods to model and control stochastic dynamic systems and adaptive control systems. Three foundational theorems are proposed: the stability …
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Romulo Damasclin Chaves dos Santos
2025-01-20T21:26:46Z
置信度 0.70
-
crossref
2025-09-30T23:21:22Z
置信度 0.70
-
crossref
2025-09-30T23:21:22Z
置信度 0.70
-
crossref
Dr. Rohan Borgalli
2025-04-17T05:29:36Z
置信度 0.70
-
crossref
Shuruq Khalid Abdulredha
2025-10-26T07:02:57Z
置信度 0.70
-
crossref
Zixuan Gu
2026-04-30T19:45:53Z
置信度 0.70
-
crossref
Nikolai V. Teterev, Vladislav E. Trifonov, Alla B. Levina
2025-05-09T17:56:01Z
置信度 0.70
-
crossref
2022-12-01T18:14:06Z
置信度 0.70
-
crossref
2024-03-12T14:40:50Z
置信度 0.70
-
crossref
2025-10-01T02:52:26Z
置信度 0.70
-
Abstract NRLMSISE is an empirical model that allows us to predict temperatures and densities of the main atmospheric components. The model is widely used to evaluate atmospheric impacts on satellite orbits and laser beam refraction which come through the atmos…
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Volodymyr Kashyn, Vasyl Choliy
2025-10-23T08:25:09Z
置信度 0.70
-
crossref
Fei Wei, Guici Chen, Tianqi Cheng
2020-08-26T20:43:42Z
置信度 0.70
-
crossref
Maheshwar Pd. Sah, Changju Yang, Hyongsuk Kim, Tamás Roska 等
2012-10-19T16:40:54Z
置信度 0.70
-
crossref
Erfan Wang
2025-07-15T17:39:55Z
置信度 0.70
-
crossref
2025-05-02T05:18:42Z
置信度 0.70
-
crossref
2026-06-15T05:07:42Z
置信度 0.70
-
crossref
Milad Besharatifard, Fatemeh Zare-Mirakabad
2025-11-06T18:48:39Z
置信度 0.70
-
crossref
Lingxue Zhang, Pan Gao, Vadim V. Lukyanov
2025-09-30T17:37:01Z
置信度 0.70
-
crossref
2014-07-01T08:01:52Z
置信度 0.70
-
crossref
Sankarsan Panda, D. Chitra Devi, M. Madhini, K. PeriyarSelvam
2026-01-09T12:30:19Z
置信度 0.70
-
crossref
Shivakumar Kagi, Basavaraj S. Mathapati
2025-06-11T11:30:16Z
置信度 0.70
-
crossref
Shobhit Nigam
2025-03-02T14:38:31Z
置信度 0.70
-
crossref
Manikandan Krishnan, Avinash Reddy Aitha, Keerthi Amistapuram, Botlagunta Preethish Nandan 等
2026-03-25T19:54:18Z
置信度 0.70
-
crossref
G. Madhuri, Srikant Ganji, V. Villesh, S. Hari 等
2026-02-19T20:54:38Z
置信度 0.70
-
crossref
Fatemeh Semsarieh, Nahideh Derakhshanfard
2025-12-22T16:07:58Z
置信度 0.70
-
crossref
2025-05-31T17:01:07Z
置信度 0.70
-
Modern apps require high computing resources for real-time data processing, allowing app users (AUs) to access real-time information. Edge computing (EC) provides dynamic computing resources to AUs for real-time data processing. However, ESs in specific areas …
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Marlom Bey, Pratyay Kuila, Banavath Balaji Naik
2024-01-26T16:14:48Z
置信度 0.70
-
crossref
Ali Safa, Vikrant Jaltare, Samira Sebt, Kameron Gano 等
2024-06-11T17:30:32Z
置信度 0.70
-
crossref
Joel Pepper, David E. Breen
2025-01-21T18:26:45Z
置信度 0.70
-
crossref
Semra Akgönüllü, Adil Denizli
2024-11-01T11:42:39Z
置信度 0.70
-
crossref
D. Boopathi, K. Jagatheesan, Sourav Samanta, Kanendra Naidu 等
2025-05-19T18:27:38Z
置信度 0.70
-
crossref
Yichuan Wu
2025-08-22T09:23:39Z
置信度 0.70
-
Abstract We propose a novel Bio-Inspired Parallel Error Correction (BPEC) algorithm for spacecraft navigation, which integrates DNA-inspired redundancy mechanisms with transformer-based neural architectures to address the challenges of sensor noise and environ…
crossref
xiaochen xiao
2025-04-23T04:38:34Z
置信度 0.70
-
Abstract Access to timely and comprehensive neuro-oncology care remains a significant challenge in East Africa, where health insurance coverage is limited, and out-of-pocket payments dominate healthcare financing. In Kenya and Uganda, uninsured neuro-oncology …
crossref
Jalilarah Nassozi
2025-11-09T08:40:44Z
置信度 0.70
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crossref
2025-01-18T21:41:44Z
置信度 0.70
-
Abstract BACKGROUND Von Hippel-Lindau (VHL) disease leads to tumors in the nervous system, including cerebellar and spinal cord hemangioblastomas (CBHB, SCHB), and pheochromocytomas (PCC), involving significant neuro-cancer interactions. Understanding these bi…
crossref
X Lu, X Lu
2025-10-03T15:40:06Z
置信度 0.70
-
crossref
Trang Jain, V. K. Jain, Arpit Jain, Laith H. Jasim
2025-07-04T23:23:18Z
置信度 0.70
-
crossref
Priyanka Jain, Subrata Kumar Mohanty, Sanjay Saxena
2024-10-25T05:34:18Z
置信度 0.70
-
crossref
Sergey Morozov, Mikhail Kupriyanov
2025-02-12T15:07:57Z
置信度 0.70
-
crossref
Shafiq Bin Suhaimi, Solehuddin Shuib, Hamid Yusoff
2025-05-15T08:53:42Z
置信度 0.70
-
crossref
2025-05-31T17:01:07Z
置信度 0.70
-
crossref
Mukund Kulkarni, Tanmay Lautawar, Kunal Bhalgat, Kuntesh Nandankar 等
2025-02-24T18:25:50Z
置信度 0.70
-
crossref
Jaepil Jeong
2025-06-19T16:45:38Z
置信度 0.70
-
crossref
2026-03-25T21:05:39Z
置信度 0.70
-
crossref
2025-05-31T17:01:07Z
置信度 0.70
-
crossref
Stephen Oladipo, Yanxia Sun
2025-11-10T11:54:21Z
置信度 0.70
-
crossref
David A. Bellows, Wei-Che Hung, Andrew C. Y. Mak, Michael S. Vaphiades 等
2025-04-04T11:41:29Z
置信度 0.70
-
crossref
2026-03-26T21:13:43Z
置信度 0.70
-
crossref
2025-06-10T17:06:06Z
置信度 0.70
-
crossref
2019-12-04T17:35:29Z
置信度 0.70
-
Abstract Aim: The aim of this study is to evaluate the role of ultrasonography in diagnosis and treatment of COVID-19, the disease caused by severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2), with particular reference to the symptoms that ar…
crossref
Marco Ruggiero
2022-08-24T03:09:57Z
置信度 0.70
-
crossref
Panitha Jindahra, Axel Petzold, Evan Price, Matthieu Robert 等
2016-04-11T11:16:36Z
置信度 0.70
-
crossref
Carmen Chan, John Chen, Rauan Kaiyrzhanov, Peter MacIntosh 等
2017-04-25T16:18:07Z
置信度 0.70
-
crossref
Paul Lama, Larry Frohman
2006-10-31T06:50:40Z
置信度 0.70
-
crossref
Carmen Chan, John Chen, Peter MacIntosh, Axel Petzold 等
2016-11-01T18:39:46Z
置信度 0.70
-
crossref
David A. Bellows, Noel C.Y. Chan, John J. Chen, Hui-Chen Cheng 等
2024-03-11T18:43:09Z
置信度 0.70
-
crossref
K. Kurako, V. Kurako, E. Salgado
2014-11-03T10:58:09Z
置信度 0.70
-
crossref
Jerome B. Posner
2004-11-06T01:31:29Z
置信度 0.70
-
crossref
Mikkel Bredholt, Jette Lautrup Frederiksen
2016-06-10T01:23:33Z
置信度 0.70
-
crossref
Abdul Sikkandhar Rahamathullah, Merline Arulraj, Guruprakash Baskaran
2020-09-27T14:02:38Z
置信度 0.70
-
crossref
David A. Bellows, Noel C.Y. Chan, John J. Chen, Hui-Chen Cheng 等
2021-03-08T23:35:11Z
置信度 0.70
-
crossref
Sudip Phuyal, Luís B. Elvas, João C. Ferreira, Rabindra Bista
2025-05-26T03:04:08Z
置信度 0.70
-
crossref
Khaoula Cherrat, Mohammed Essaid Riffi
2025-06-03T11:08:17Z
置信度 0.70
-
crossref
2023-09-08T17:01:11Z
置信度 0.70
-
Abstract This paper proposes the application of both the Firefly Algorithm (FA) and Particle Swarm Optimization (PSO) for tuning the PID controller parameters of first-, second-, and third-order dynamic systems. FA is distinguished by its simplicity, stable co…
crossref
Ibrahim Mammadov
2025-10-31T04:53:03Z
置信度 0.70
-
crossref
2024-05-30T17:17:15Z
置信度 0.70
-
crossref
2026-03-26T21:13:43Z
置信度 0.70
-
crossref
Eric R. Eggenberger, David I. Kaufman
2006-10-31T06:42:29Z
置信度 0.70
-
crossref
Carmen Chan, John Chen, Peter MacIntosh, Matthieu Robert 等
2016-08-11T19:06:39Z
置信度 0.70
-
crossref
David Bellows, Noel Chan, John Chen, Hui-Chen Cheng 等
2019-10-29T23:38:53Z
置信度 0.70
-
crossref
David A. Bellows, John J. Chen, Hui-Chen Cheng, Panitha Jindahra 等
2023-03-02T17:06:49Z
置信度 0.70
-
crossref
2024-10-05T17:13:42Z
置信度 0.70
-
crossref
2023-01-19T16:04:33Z
置信度 0.70
-
crossref
2025-06-10T17:06:06Z
置信度 0.70
-
crossref
Carmen K. M. Chan, Axel Petzold, Evan Price, John H. Pula 等
2014-05-14T14:25:08Z
置信度 0.70
-
crossref
Carmen K. M. Chan, Simon J. Hickman, Silvia Muñoz, Matthieu P. Robert 等
2010-10-15T11:01:36Z
置信度 0.70
-
crossref
Harsha M S, Nischala G S, Prajwal H J, Smitha Gayathri D 等
2026-02-25T20:53:55Z
置信度 0.70
-
crossref
Mamta Kumari, Mayukh Sarkar, Rohit Kumar Nonia
2026-04-22T23:29:28Z
置信度 0.70