Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jivitesh Sharma"'
Autor:
Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Anna Linda Ruthjersen, Jivitesh Sharma
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-25 (2023)
Abstract Background Data mining of electronic health records (EHRs) has a huge potential for improving clinical decision support and to help healthcare deliver precision medicine. Unfortunately, the rule-based and machine learning-based approaches us
Externí odkaz:
https://doaj.org/article/96e658a159024c95b805165c4866513a
Publikováno v:
EURASIP Journal on Information Security, Vol 2019, Iss 1, Pp 1-16 (2019)
Abstract Recent advances in intrusion detection systems based on machine learning have indeed outperformed other techniques, but struggle with detecting multiple classes of attacks with high accuracy. We propose a method that works in three stages. F
Externí odkaz:
https://doaj.org/article/52c642add623417e87319d0a5d25ba96
Publikováno v:
IEEE Transactions on Systems, Man & Cybernetics: Systems
We focus on the important problem of emergency evacuation, which clearly could benefit from reinforcement learning that has been largely unaddressed. Emergency evacuation is a complex task which is difficult to solve with reinforcement learning, sinc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a80ac219f795346cbb3736c7470a28b
https://doi.org/10.1109/tsmc.2020.2967936
https://doi.org/10.1109/tsmc.2020.2967936
Autor:
Sondre Glimsdal, Rupsa Saha, Bimal Bhattarai, Charul Giri, Jivitesh Sharma, Svein Anders Tunheim, Rohan Kumar Yadav
Publikováno v:
2022 International Symposium on the Tsetlin Machine (ISTM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f272d7165e65b9d04f8652dbc825299
https://doi.org/10.1109/istm54910.2022.00021
https://doi.org/10.1109/istm54910.2022.00021
Publikováno v:
Engineering Applications of Neural Networks ISBN: 9783031082221
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9b35ddd1e4b2e08ab20965a9ce24870
https://doi.org/10.1007/978-3-031-08223-8_28
https://doi.org/10.1007/978-3-031-08223-8_28
Publikováno v:
Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices ISBN: 9783030794569
IEA/AIE (1)
IEA/AIE (1)
In this paper, we introduce a novel application of using scene semantic image segmentation for fire emergency situation analysis. To analyse a fire emergency scene, we propose to use deep convolutional image segmentation networks to identify and clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e1e8c23e2e9633b7790385581157627
https://doi.org/10.1007/978-3-030-79457-6_9
https://doi.org/10.1007/978-3-030-79457-6_9
Publikováno v:
Proceedings of Fifth International Congress on Information and Communication Technology ISBN: 9789811558580
In this paper, we propose a generic emergency detection system using only the sound produced in the environment. For this task, we employ multiple audio feature extraction techniques like the mel-frequency cepstral coefficients, gammatone frequency c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a82f0e0a4358c67f01c2428cf900c923
https://doi.org/10.1007/978-981-15-5859-7_14
https://doi.org/10.1007/978-981-15-5859-7_14
Publikováno v:
ICMLA
In this paper, we try to find the most efficient optimization algorithm that can be used to resolve the hydropower optimization problem. We propose a novel optimization technique is called the Split-window method. The method is relatively simple and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee57a30f4488363fd444a659277f7bee
https://doi.org/10.1109/icmla.2019.00153
https://doi.org/10.1109/icmla.2019.00153
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030229986
IEA/AIE
IEA/AIE
This paper demonstrates how deep learning can be used to find optimal reservoir operating policies in hydropower river systems. The method that we propose is based on the implicit stochastic optimization (ISO) framework, using direct policy search me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68dc180e7874d080637f474073a3edc0
https://doi.org/10.1007/978-3-030-22999-3_11
https://doi.org/10.1007/978-3-030-22999-3_11
Publikováno v:
INTERSPEECH
Interspeech
Interspeech
In this paper, we propose a model for the Environment Sound Classification Task (ESC) that consists of multiple feature channels given as input to a Deep Convolutional Neural Network (CNN) with Attention mechanism. The novelty of the paper lies in us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc2b1ce47842b6135cafa541952ff92a