-
crossref
Ravindra Changala, Mohd Aarif, Brinda Halambi, Machhindranath M Dhane 等
2024-11-04T23:06:46Z
置信度 0.70
-
crossref
2024-04-05T04:32:06Z
置信度 0.70
-
crossref
Tatsuya Suda, Tadashi Nakano, Michael Moore, Akhiro Enomoto 等
2008-11-26T21:08:36Z
置信度 0.70
-
crossref
Qun Niu, Zhuo Zhou, Tingting Zeng
2012-01-03T09:49:00Z
置信度 0.70
-
crossref
S. Jassar, Z. Liao, L. Zhao
2010-11-25T09:48:02Z
置信度 0.70
-
crossref
Ramakrishnan Kannan, Ashish Gautam, Robert Patton, Nicholas D Haas 等
2026-06-22T19:52:43Z
置信度 0.70
-
crossref
Md. Saidur Rahman, Md. Shakabul Islam Sourav, Md. Asaduzzaman Sarker, K. M. Rumman 等
2024-11-04T23:06:46Z
置信度 0.70
-
crossref
Duygu Bayram, Serhat Şeker
2012-12-11T01:33:28Z
置信度 0.70
-
crossref
Sherri Bucher, Elizabeth Meyers, Bhavani Singh Agnikula Kshatriya, Prem Chand Avanigadda 等
2019-05-22T21:26:26Z
置信度 0.70
-
crossref
Uichin Lee, Eugenio Magistretti, Mario Gerla, Paolo Bellavista 等
2008-11-26T16:08:36Z
置信度 0.70
-
crossref
Dongyang Bie, Miguel A. Gutiérrez-Naranjo, Jie Zhao, Yanhe Zhu
2017-11-08T04:53:32Z
置信度 0.70
-
crossref
K. C. Jithin, Syam Sankar
2019-05-22T21:26:26Z
置信度 0.70
-
Due to the rising requirement on energy sources and the global doubts for using fossil fuel because of its consequences on the climate changes and the global warming caused by hazardous gases, the scientific research has shifted to the renewable energy. To min…
crossref
Sunanda Hazra, Provas Kumar Roy
2021-12-08T08:09:33Z
置信度 0.70
-
crossref
S.M.A. Mavee, E.M. Ehlers
2012-09-11T22:46:34Z
置信度 0.70
-
In wireless sensor networks, localization is one of the essential requirements. Most applications are of no use, if location information is not available. Based on cost, localization algorithms can be divided into two categories, namely range-based and range-f…
crossref
Amanpreet Kaur, Govind P. Gupta, Sangeeta Mittal
2019-10-25T12:01:11Z
置信度 0.70
-
Microwells with gradually slopped walls enabled uniform particle deposition and distribution.
crossref
Maura Shapiro
2024-03-19T11:38:20Z
置信度 0.70
-
crossref
Mohammad Saifullah
2012-08-10T12:17:23Z
置信度 0.70
-
BioRWKV aims to enhance the biological plausibility and efficiency of artificial intelligence systems by developing a novel large-scale Spiking Neural Network (SNN) architecture inspired by principles from biological neural systems. This research integrates Le…
crossref
Xin Liu, Yiwen Zhang, Lei Liu
2025-09-29T17:50:58Z
置信度 0.70
-
OFDM is widely used in high data rate applications due to its ability to mitigate frequency selectivity. However, OFDM suffers from high PAPR problem. This degrades the system performance. PTS is a promising PAPR reduction technique. However, its computational…
crossref
Mohamed Mounir, Mohamed Bakry El Mashade, Gurjot Singh Gaba
2019-10-25T12:01:11Z
置信度 0.70
-
This paper studies deep reinforcement learning (DRL)-based joint resource allocation and three-dimensional (3D) trajectory optimization for unmanned aerial vehicle (UAV)–ground access point (GAP) cooperative non-orthogonal multiple access (NOMA) communication …
crossref
Yuanyan Huang, Jingjing Su, Xuan Lu, Shoulin Huang 等
2025-07-29T09:31:45Z
置信度 0.70
-
crossref
S. V. Barai, A. K. Gupta, Jayachandar Kodali
2009-01-05T16:15:11Z
置信度 0.70
-
crossref
Alex Fulleda-Garcia, Saray Soldado-Magraner, Josep Maria Margarit-Taulé
2026-06-22T19:52:43Z
置信度 0.70
-
crossref
Sasitharan Balasubramaniam, Dmitri Botvich, William Donnelly, Mícheál Ó Foghlú 等
2007-11-15T14:30:20Z
置信度 0.70
-
crossref
Ali Safa, Jonah Van Assche, Charlotte Frenkel, Andre Bourdoux 等
2023-04-12T13:27:54Z
置信度 0.70
-
crossref
P. Mohan Kumar, B. Balamurugan
2017-10-04T04:25:22Z
置信度 0.70
-
crossref
2024-04-05T04:32:23Z
置信度 0.70
-
crossref
P. Subbaraj, B. Kannapiran
2014-02-19T20:30:42Z
置信度 0.70
-
crossref
Guembe Blessing, Ambrose Azeta, Sanjay Misra, Felix Chigozie 等
2020-08-05T11:05:14Z
置信度 0.70
-
crossref
Nureni Ayofe Azeez, Samuel O. Oyeniran, Charles Van der Vyver, Sanjay Misra 等
2019-05-22T17:26:26Z
置信度 0.70
-
crossref
Sudha Tiwari, S. M. Ghosh
2020-09-27T14:02:38Z
置信度 0.70
-
crossref
P. Melin, O. Castillo
2004-03-20T10:51:46Z
置信度 0.70
-
crossref
Iluminada Baturone, Andrés Gersnoviez, Ángel Barriga
2014-03-26T14:25:43Z
置信度 0.70
-
crossref
Yousef A. Alsaaidah, Abdullah Muhammed, Mohammed Alaa Ala’anzy, Mohamed Othman 等
2025-07-23T04:29:56Z
置信度 0.70
-
crossref
Sadik Ozgur Degertekin, Luciano Lamberti, Mehmet Sedat Hayalioglu
2021-03-31T12:03:02Z
置信度 0.70
-
crossref
Mahdi Danesh, Sedigheh Danesh
2023-10-15T06:01:21Z
置信度 0.70
-
crossref
Mrutyunjaya Panda, Niketa Gandhi, Ajith Abraham
2020-08-05T11:05:14Z
置信度 0.70
-
crossref
Esraa Elhariri, Nashwa El-Bendary, Mohamed Mostafa M. Fouad, Jan Platoš 等
2013-08-01T11:21:05Z
置信度 0.70
-
Abstract For spatiotemporal learning with neural networks, hyperparameters are often set manually by a human expert. This is especially the case with multiple timescale networks that require a careful setting of the values of timescales in order to learn spati…
crossref
Erhard Wieser, Gordon Cheng
2020-03-17T18:11:13Z
置信度 0.70
-
Parkinson's disease is a neurodegenerative disorder characterized by severe cognitive impairments. This is a condition of degeneration of substantia nigra of basal ganglia. Parkinsonism adversely influences the mental health of the person too. Parkinson's dise…
crossref
Soumya Jacob P.
2022-04-21T13:32:03Z
置信度 0.70
-
crossref
Matthew D Lee, Rajan Jain
2024-03-01T22:52:48Z
置信度 0.70
-
crossref
Atul Mishra, Sankha Deb
2020-02-19T10:02:35Z
置信度 0.70
-
crossref
M. Damas, M. Salmerón, J. Ortega, G. Olivares
2010-02-11T14:39:51Z
置信度 0.70
-
crossref
Muneer Bani Yassein, Ahmed Y. Al-Dubai
2015-12-28T21:32:48Z
置信度 0.70
-
crossref
Anamaya Vyas, Gerard Deepak
2025-06-03T11:08:11Z
置信度 0.70
-
crossref
Anne Lin, Tendani Mawela
2023-03-27T19:03:17Z
置信度 0.70
-
crossref
Kehinde Aruleba, Oluwaseun Alexander Dada, Ibomoiye Domor Mienye, George Obaido
2022-02-21T17:09:04Z
置信度 0.70
-
crossref
2024-08-09T07:40:06Z
置信度 0.70
-
crossref
Serdar Ulusoy, Aylin Ece Kayabekir, Sinan Melih Nigdeli, Gebrail Bekdaş
2021-03-31T12:03:02Z
置信度 0.70
-
crossref
Loganathan S, Jayaprakash M
2026-07-22T19:17:52Z
置信度 0.70
-
crossref
Hock Chuan Lim, Rob Stocker, Henry Larkin
2009-02-19T13:40:18Z
置信度 0.70
-
crossref
Ankit Gambhir, Ajit Kumar Verma, Ashish Payal, Rajeev Kumar Arya
2023-09-16T08:07:55Z
置信度 0.70
-
crossref
Hiroshi Ishiguro
2012-09-30T13:21:47Z
置信度 0.70
-
crossref
Jiann-Horng Lin, Chao-Wei Chou, Chorng-Horng Yang, Hsien-Leing Tsai 等
2012-10-26T21:47:27Z
置信度 0.70
-
crossref
G.S. Ng, F. Liu, T.F. Loh, C. Quek
2012-03-07T12:01:06Z
置信度 0.70
-
crossref
Akshita Modi, Anu Bajaj, Vikas Sharma
2025-06-20T10:05:58Z
置信度 0.70
-
crossref
Isha Gupta, Anu Bajaj, Vikas Sharma
2025-05-26T03:03:59Z
置信度 0.70
-
crossref
Heredia-Roldán Miguel Josué, Báez Sentíes Oscar, Gurruchaga-Rodríguez María Eloisa, Betanzo Torres Erick Arturo
2025-02-19T13:37:25Z
置信度 0.70
-
crossref
Diaz Jorge-Martinez, Sanjay Misra, Shariq Aziz Butt, Foluso Ayeni
2022-02-21T17:09:04Z
置信度 0.70
-
crossref
Ryotaro Kamimura
2025-06-05T06:07:42Z
置信度 0.70
-
crossref
Nesrine Bnouni Rhim, Salim Cheballah, Mouna Ben Mabrouk
2023-03-27T19:03:17Z
置信度 0.70
-
crossref
Daniel Díaz Pernil, Ainhoa Berciano, Francisco Peña Cantillana, Miguel A. Gutiérrez Naranjo
2017-03-22T14:11:37Z
置信度 0.70
-
crossref
Neeraj Gupta, Saurabh Gupta, Nilesh Patel
2021-12-18T23:09:33Z
置信度 0.70
-
crossref
Ferhat Erdal, Osman Tunca, Erkan Dogan, Ramazan Ozcelik
2021-03-31T12:03:02Z
置信度 0.70
-
crossref
Suchismita Das, Meghna, Sanjay Saxena
2024-04-05T04:30:59Z
置信度 0.70
-
crossref
Matthias Preusser, Michael Platten, Susan C Short
2024-03-02T18:44:54Z
置信度 0.70
-
crossref
Samarjit Kar, Sujit Das, Pijush Kanti Ghosh
2013-11-12T23:37:33Z
置信度 0.70
-
crossref
J.D. Emerald
2011-10-18T15:35:51Z
置信度 0.70
-
crossref
Naoki Wakamiya, Masayuki Murata
2007-06-07T15:56:37Z
置信度 0.70
-
crossref
Kerem Y. Camsari, Supriyo Datta
2025-03-14T10:08:54Z
置信度 0.70
-
crossref
2023-09-16T08:07:55Z
置信度 0.70
-
crossref
Punit Gupta, Dinesh Kumar Saini, Pradeep Rawat, Kashif Zia
2022-12-24T13:39:16Z
置信度 0.70
-
This paper compares the accuracy of three hybrid intelligent systems in forecasting ten international stock market indices; namely the CAC40, DAX, FTSE, Hang Seng, KOSPI, NASDAQ, NIKKEI, S&P500, Taiwan stock market price index, and the Canadian TSE. In par…
crossref
Salim Lahmiri
2016-07-26T12:16:44Z
置信度 0.70
-
In this article, the necessity of having developmental learning embedded in a swarm intelligence algorithm is confirmed by briefly considering brain evolution, brain development, brainstorming process, etc. Several swarm intelligence algorithms are looked at f…
crossref
Yuhui Shi
2016-07-26T12:16:44Z
置信度 0.70
-
crossref
Keerthi S Chandran, Kuntal Ghosh
2026-03-27T21:19:39Z
置信度 0.70
-
crossref
Hong Qiao, Hong Zhang, Florian Röhrbein
2017-09-29T23:46:17Z
置信度 0.70
-
crossref
Prajoy Podder, Subrato Bharati, Md. Robiul Alam Robel, Md. Raihan-Al-Masud 等
2020-08-05T11:05:14Z
置信度 0.70
-
crossref
Nureni Ayofe Azeez, Timothy Towolawi, Charles Van der Vyver, Sanjay Misra 等
2019-05-22T21:26:26Z
置信度 0.70
-
crossref
Alex Donkers, Ekaterina Petrova
2026-08-10T11:55:47Z
置信度 0.70
-
crossref
Absalom E. Ezugwu, Daniel I. Yakmut, Paschal A. Ochang, Seyed M. Buhari 等
2015-12-13T20:02:33Z
置信度 0.70
-
crossref
Ribhu Abhusan Panda, Madhusmita Kuldeep, Varanasi Swatishree, Gudla Sruthi 等
2020-08-05T11:05:14Z
置信度 0.70
-
crossref
S. Anagha, Neenu Sebastian, K. Rosebell Paul
2019-05-22T17:26:26Z
置信度 0.70
-
crossref
Amir Seyyedabbasi
2024-07-31T06:19:34Z
置信度 0.70
-
crossref
Manuel Le Gallo, Abu Sebastian, Evangelos Eleftheriou
2020-03-27T10:01:07Z
置信度 0.70
-
In this chapter, the author expands the notion of computational intelligence using the behavior of cockroaches. An introduction to cockroach as swarm intelligence emerging research area and literature review of its growing concept is explained in the beginning…
crossref
Amartya Neogi
2016-07-26T12:16:44Z
置信度 0.70
-
crossref
Dimitri Petritis, Thomas Sierocinski
2007-06-07T19:56:37Z
置信度 0.70
-
crossref
A. Linares-Barranco, R. Paz-Vicente, G. Jimenez, J.L. Pedreno-Molina 等
2006-10-30T12:35:23Z
置信度 0.70
-
crossref
F.S. Lobato, M.N. Sousa, M.A. Silva, A.R. Machado
2014-06-02T12:38:00Z
置信度 0.70
-
crossref
Ribhu Abhusan Panda, Priya Kumari, Janhabi Naik, Priyanka Negi 等
2020-08-05T11:05:14Z
置信度 0.70
-
crossref
Mohamed Abd. Elfattah, Nashwa El-Bendary, Mohamed A. Abou Elsoud, Jan Platoš 等
2013-08-01T11:21:05Z
置信度 0.70
-
crossref
Majda Elhozmari, Ahmed Ettalbi
2018-03-09T11:43:48Z
置信度 0.70
-
crossref
Massimiliano Di Ventra, Fabio L. Traversa, Fabrizio Bonani, Yuriy V. Pershin
2014-07-30T21:16:29Z
置信度 0.70
-
crossref
Vanya Arun, Kapil Deo Bodha, Ankita Awasthi, Munish Sabharwal
2026-01-09T21:18:51Z
置信度 0.70
-
crossref
T. P. Jensen, S. Tata, A. J. Ijspeert, S. Tolu
2020-06-18T23:09:51Z
置信度 0.70
-
crossref
Jui-Sheng Chou, Ngoc-Mai Nguyen
2020-04-27T21:43:13Z
置信度 0.70
-
crossref
Hsu-Hwa Chang, Yan-Kwang Chen
2009-12-17T10:11:11Z
置信度 0.70
-
crossref
Patrick L. Y. Tang, Esther A. H. Warnert, Marion Smits
2024-08-01T09:25:51Z
置信度 0.70
-
crossref
Nicolette M. Gabel, Ted A. Barrios, Maaheen Ahmed, Sean Smith
2024-08-09T08:14:39Z
置信度 0.70
-
crossref
Yuan Wang, Yongming He, Lei He, Lining Xing
2015-12-23T14:41:36Z
置信度 0.70
-
Abstract Increasing dynamic performance and the general level of automation of commercial vehicles emphasize the issue of safety. Modern braking systems focus on sustaining vehicle stability, often degrading the brake performance. The major downgrades of the b…
crossref
Veljko Vučinić, Dragan Aleksendrić
2025-09-15T10:23:10Z
置信度 0.70
-
crossref
Yan Han
2026-04-29T08:58:19Z
置信度 0.70