-
crossref
Saroj Kumar Panda, Papia Ray, Debani Prasad Mishra
2020-08-05T11:05:14Z
置信度 0.70
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crossref
Ahmad Ghiaskar, Farid Taheri
2026-04-06T23:16:50Z
置信度 0.70
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crossref
Ricardo Puga, José Boaventura, Judite Ferreira, Ana Madureira
2022-02-21T17:09:04Z
置信度 0.70
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crossref
Yogendra Narayan, Riya Khera, Rajeev Ranjan, Rohit katyal 等
2025-06-20T10:05:35Z
置信度 0.70
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crossref
Karthik Kovuri, Gunipati Kanishka, Pattabhi Mary Jyosthna, A. Jyothi Babu 等
2025-06-20T10:07:30Z
置信度 0.70
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crossref
Nuno Santos, Joel Curado, Joao C. Ferreira
2025-05-26T03:03:31Z
置信度 0.70
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crossref
David Rubio-Atroche, Jesús Galeano-Brajones, Francisco Luna-Valero, Javier Carmona-Murillo 等
2025-02-19T13:37:04Z
置信度 0.70
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crossref
B. Uma Rani, S. Kalyan, T. Roja Rani, S. Raghavendra
2025-05-28T09:29:22Z
置信度 0.70
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crossref
R. Sandhiya, K. Sruthi, S. Suruthi, S. V. Kogilavani
2025-06-20T10:06:14Z
置信度 0.70
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crossref
Kingsley Okoye
2022-02-21T17:09:04Z
置信度 0.70
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crossref
Kapila Devi, Saroj Ratnoo, Anu Bajaj
2022-02-21T17:09:04Z
置信度 0.70
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crossref
Meena Parvathy Sankar, N.G. David, D.G. Thomas
2011-10-18T11:35:51Z
置信度 0.70
-
crossref
S Aji, T Jayanthi, M.R. Kaimal
2010-01-26T12:36:43Z
置信度 0.70
-
crossref
J.S. Pahariya, V. Ravi, M. Carr
2010-01-26T12:36:43Z
置信度 0.70
-
crossref
H Kamabe
2011-02-18T19:03:54Z
置信度 0.70
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crossref
Ali Osman Kusakci, Mehmet Can
2017-07-05T05:46:55Z
置信度 0.70
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crossref
Edward T. Apeh, Bogdan Gabrys, Amanda Schierz
2011-12-06T16:02:25Z
置信度 0.70
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crossref
Elishai Ezra Tsur
2021-07-19T12:30:34Z
置信度 0.70
-
This chapter advocates a cognitively realistic approach to social simulation. based on a model for capturing the growth of academic science. Gilbert’s (1997) model, which was equation based, is replaced in this work by an agent-based model, with the cognitive …
crossref
I. Naveh, R. Sun
2011-05-24T13:17:52Z
置信度 0.70
-
crossref
Daniel Neagu, Vasile Palade
2003-12-23T15:14:14Z
置信度 0.70
-
crossref
S Akimoto, N Suematsu
2011-02-18T19:03:54Z
置信度 0.70
-
The paper presents a quantitative comparison of digital/electronic and biological storage systems. Two biological storage systems are included: DNA and brain memory. First we will show some examples of digital-biological systems integration. In the main part o…
crossref
Tomasz Bilski
2008-09-08T16:06:46Z
置信度 0.70
-
crossref
Zhihua Chen, Xiutang Geng, Jin Xu
2008-10-28T15:22:35Z
置信度 0.70
-
crossref
Zhixiang Yin, Min Chen, Qingyan Li
2013-05-07T08:25:55Z
置信度 0.70
-
crossref
S.H. Karimi-Goo, T.S. Lee
2012-12-10T00:33:14Z
置信度 0.70
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crossref
L.M. Reyneri, F. Renga
2004-05-01T09:50:07Z
置信度 0.70
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crossref
Ch. Rajyalakshmi, Gampa Sri Varsha, Galipalli Vinay Teja, Dasi Bhargavi 等
2025-06-20T10:06:34Z
置信度 0.70
-
crossref
Ibidun C. Obagbuwa, Bam Stefany, Moroka Dineo Tiffany
2023-03-27T19:03:17Z
置信度 0.70
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crossref
Arunkumar Beyyala, R. Priya, Subramani Roy Choudary, R. Bhavani
2023-03-27T19:03:17Z
置信度 0.70
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crossref
Arun Prakash Jayakanthan, S. Shiva Rupan, V. Sowmya, Moez Krichen 等
2023-03-27T19:03:17Z
置信度 0.70
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crossref
Megha Dhaka, Jeevika Rajput, Yajnaseni Dash, Ajith Abraham
2025-06-05T06:08:00Z
置信度 0.70
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crossref
Lokender Vashist, Mukesh Kumar
2020-01-06T15:02:40Z
置信度 0.70
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crossref
Richa Jain, Neelam Sharma
2022-09-29T21:03:20Z
置信度 0.70
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crossref
Nithiyananthan Kannan, Youssef Mobarak, Fahd Alharbi
2020-01-06T20:02:40Z
置信度 0.70
-
crossref
T. Arciszewski, R. Kicinger
2009-05-22T15:58:56Z
置信度 0.70
-
crossref
Komathy Karuppanan, Abinaya Sree Vairasundaram, Manjula Sigamani
2012-09-30T22:42:58Z
置信度 0.70
-
crossref
Nikola Kirilov Kasabov
2023-10-20T10:19:45Z
置信度 0.70
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crossref
Seema Sharma
2026-03-23T20:19:51Z
置信度 0.70
-
Abstract The main idea behind artificial intelligence was simple: what if we study living systems to develop new, practical computing systems that possess “lifelike” properties? And that’s exactly how evolutionary computing emerged. Researchers came up with id…
crossref
Alexandros Tzanetos
2023-07-18T19:52:01Z
置信度 0.70
-
crossref
Natabara Máté Gyöngyössy, Béla János Szekeres, János Botzheim
2026-01-27T04:49:35Z
置信度 0.70
-
crossref
2024-05-03T19:03:07Z
置信度 0.70
-
crossref
Sofía Lawrie, Rubén Moreno-Bote, Matthieu Gilson
2022-03-30T06:02:42Z
置信度 0.70
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crossref
Sing Yee Ng, Nur Syazreen Ahmad
2019-07-08T04:04:24Z
置信度 0.70
-
crossref
Radhika Sohan, Nitin Mittal, Urvinder Singh, Balwinder Singh Sohi
2017-10-04T04:25:22Z
置信度 0.70
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crossref
Raj Kothari, Gargi Vyas
2020-01-06T15:02:40Z
置信度 0.70
-
crossref
Vagisha Sharma, Amandeep Verma, Neelam Goel
2022-02-21T17:09:04Z
置信度 0.70
-
crossref
Huizhi Liang, Zhiling Zhou, Zhenyu Hou, Chris Ryder 等
2025-06-20T10:07:02Z
置信度 0.70
-
crossref
T. Raj Kumar, M. C. Aswathy, N. V. Sobhana
2025-05-26T03:03:44Z
置信度 0.70
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crossref
Man Gyun Na
2013-11-12T07:06:26Z
置信度 0.70
-
crossref
Peihan Ye, Alfreds Lapkovskis, Alaa Saleh, Qiyang Zhang 等
2026-08-26T19:07:30Z
置信度 0.70
-
crossref
Ye Tian, Xingyi Zhang
2019-04-08T05:29:16Z
置信度 0.70
-
crossref
Peter H. Deussen, Edzard Höfig
2009-03-10T14:16:22Z
置信度 0.70
-
crossref
M. Sreeraj, Sumam Mary Idicula
2010-01-26T17:36:43Z
置信度 0.70
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crossref
Alle Naga Rishikesh Reddy, Gerard Deepak
2025-06-03T11:08:02Z
置信度 0.70
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crossref
S. S. Nitin Hariharan, Gerard Deepak
2025-05-26T03:03:53Z
置信度 0.70
-
crossref
Ibidun Christiana Obagbuwa, Kutlo Baldwin Mogorosi
2023-03-27T19:03:17Z
置信度 0.70
-
crossref
Sara Gomes, Luís B. Elvas, João C. Ferreira, Tomás Brandão
2023-03-27T19:03:17Z
置信度 0.70
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crossref
Nagendar Yamsani, A. B. Archana, Suresh Babu Jugunta, E. Sreedevi 等
2025-06-03T11:08:20Z
置信度 0.70
-
crossref
N. Pooja kumara, H. S. Vandana, Bobby Lukose
2025-05-26T03:03:43Z
置信度 0.70
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crossref
Sonika, Ashita Chadha
2025-06-03T11:07:57Z
置信度 0.70
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crossref
Jeng-Shyang Pan, Ajith Abraham
2008-05-29T13:28:16Z
置信度 0.70
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crossref
Arpad Csik, Janos Botzheim
2013-10-10T23:27:30Z
置信度 0.70
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crossref
2019-10-11T15:16:45Z
置信度 0.70
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crossref
Gregory Litster, Ada Hurst, Carlos Cardoso
2023-01-04T17:15:25Z
置信度 0.70
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crossref
Bingpeng Ma, Yu Su, Frédéric Jurie
2014-04-12T22:01:04Z
置信度 0.70
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crossref
Ana Barbosa, Nuno Dâmaso, Diogo Pacheco, Susana Nicola 等
2023-03-27T19:03:17Z
置信度 0.70
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crossref
Vaishali Niranjane, Shivam Patil, Trushant Dharpure, Manish Bhosle 等
2025-05-26T03:04:05Z
置信度 0.70
-
crossref
Cengiz Kahraman, Basar Oztaysi, Sezi Çevik Onar, Selcuk Cebi
2023-03-27T19:03:17Z
置信度 0.70
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europepmc
Michalis Pagkalos, Roman Makarov, Panayiota Poirazi
2024
置信度 0.80
-
europepmc
2022
置信度 0.80
-
europepmc
2022
置信度 0.80
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europepmc
2021
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
-
Abstract In this work, neuro-hormonal networks (NHNs) are presented which are a novel bioinspireddeep learning architecture that integrates dynamic neuro-modulation mechanismsto achieve superior performance in deep learning tasks. Our approach addresses fundam…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
Ruibang Li, Yihong Wang, Xuying Xu, Fangfei Li 等
2025-12-06T07:35:41Z
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2025
置信度 0.80
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Accurate prediction of cognitive states such as psychological stress from electroencephalography (EEG) remains a significant challenge due to the inherently spatiotemporal and nonlinear nature of brain dynamics. To address these complexities, we propose NeuroG…
europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
-
europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
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Introduction Static networks often exhibit limited generalization on few-shot data, particularly given the scarce samples and unstructured background noise inherent to precision agriculture. To address these limitations, an adaptive recognition network for few…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
-
europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
-
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Autonomous driving is one of the hallmarks of arIficial intelligence. Neuromorphic, brain-inspired compuIng architectures, are revoluIonizing vehicular autonomy through biomimeIc approaches [1].They can dramaIcally impact the mulIdimensional landscape of auton…
europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
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Introduction Conventional artificial intelligence (AI) systems are limited by static architectures that require periodic retraining and fail to adapt efficiently to continuously changing data environments. To address this limitation, this research introduces a…
europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
-
europepmc
2026
置信度 0.80
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europepmc
2024
置信度 0.80