Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Ravi Bhushan Mishra"'
Publikováno v:
Revue d'Intelligence Artificielle. 34:361-368
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::959f366ae967e96273519a4f0d2a2680
https://doi.org/10.18280/ria.340315
https://doi.org/10.18280/ria.340315
Autor:
Akash Dutt Dubey, Ravi Bhushan Mishra
In this article, we have applied cognition on robot using Q-learning based situation operator model. The situation operator model takes the initial situation of the mobile robot and applies a set of operators in order to move the robot to the destina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9a37c2b87facaaa8a07278e7ce18a30
https://doi.org/10.4018/978-1-7998-1754-3.ch030
https://doi.org/10.4018/978-1-7998-1754-3.ch030
Autor:
Rishi Yadav, Ravi Bhushan Mishra
Publikováno v:
International Journal of Computer Science and Information Technology. 10:113-121
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4f43638788b016bf032599b1495fd28
https://doi.org/10.5121/ijcsit.2018.10307
https://doi.org/10.5121/ijcsit.2018.10307
Publikováno v:
Procedia Computer Science. 132:1412-1421
Software bug prediction becomes the vital activity during software development and maintenance. Fault prediction model able to engaged to identify flawed software code by utilizing machine learning techniques. Naive Bayes classifier has often used ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::800d0201570d1a372d279b276cd67992
https://doi.org/10.1016/j.procs.2018.05.071
https://doi.org/10.1016/j.procs.2018.05.071
Autor:
Akash Dutt Dubey, Ravi Bhushan Mishra
Publikováno v:
Journal of Information Technology Research. 11:146-157
In this article, we have applied cognition on robot using Q-learning based situation operator model. The situation operator model takes the initial situation of the mobile robot and applies a set of operators in order to move the robot to the destina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b9f30ab3f6074228ae1e5362f9008a4
https://doi.org/10.4018/jitr.2018010109
https://doi.org/10.4018/jitr.2018010109
Publikováno v:
Expert Systems with Applications. 172:114595
Several prediction approaches are contained in the arena of software engineering such as prediction of effort, security, quality, fault, cost, and re-usability. All these prediction approaches are still in the rudimentary phase. Experiments and resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de4df8dd407d0a784f2e2664e414d022
https://doi.org/10.1016/j.eswa.2021.114595
https://doi.org/10.1016/j.eswa.2021.114595
Autor:
Ashish Kumar Luhach, Kamarul Bin Ghazali Hawari, Ioan Cosmin Mihai, Pao-Ann Hsiung, Ravi Bhushan Mishra
This book covers new developments and advances in the field of Computational Strategies for next-generation computing. The contributing authors share diverse perspectives on and extensive discussions of issues concerning the theory, applications, and
Publikováno v:
Expert Systems with Applications. 144:113085
In software fault prediction systems, there are many hindrances for detecting faulty modules, such as missing values or samples, data redundancy, irrelevance features, and correlation. Many researchers have built a software bug prediction (SBP) model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c30113452295ede6c2570fc06e75542
https://doi.org/10.1016/j.eswa.2019.113085
https://doi.org/10.1016/j.eswa.2019.113085
Publikováno v:
Computer Science & Information Technology.
Since the mid of 1990s, functional connectivity study using fMRI (fcMRI) has drawn increasing attention of neuroscientists and computer scientists, since it opens a new window to explore functional network of human brain with relatively high resoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dd440c2bf1ededdd88d9516b720623d
https://doi.org/10.5121/csit.2018.80609
https://doi.org/10.5121/csit.2018.80609
Autor:
Marwan Akeel, Ravi Bhushan Mishra
Publikováno v:
International Journal of Computer Applications. 86:13-19
Translating from English into a morphologically richer language like Arabic is a challenge in statistical machine translation. Segmentation of Arabic text was introduced to bridge the inflection morphology gap. In this work, we investigate the impact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83758e6d1b0ddffc5191b34bf8c7fc1c
https://doi.org/10.5120/14957-3124
https://doi.org/10.5120/14957-3124