Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Apoorvi Sood"'
Publikováno v:
Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fc8654e4dc0075ec66078736dc8e329
https://doi.org/10.4108/eai.16-4-2022.2318169
https://doi.org/10.4108/eai.16-4-2022.2318169
Publikováno v:
Advances in Information Communication Technology and Computing ISBN: 9789811906183
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f10ded3e3e35a2e4ea71ea8b1565b9af
https://doi.org/10.1007/978-981-19-0619-0_30
https://doi.org/10.1007/978-981-19-0619-0_30
Autor:
Tushar Pardhe, Apoorvi Sood
Publikováno v:
2021 International Conference on Technological Advancements and Innovations (ICTAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54cef94e5b659e739025fa16bfc1f6ec
https://doi.org/10.1109/ictai53825.2021.9673352
https://doi.org/10.1109/ictai53825.2021.9673352
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811597114
Activation functions play a major role in determining the learning speed and generalization capability of feed-forward artificial neural networks. In this paper, an empirical comparison of eight activation functions is reported on 12 function approxi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43d536f9d3614681d26c11d2fd9aef6e
https://doi.org/10.1007/978-981-15-9712-1_24
https://doi.org/10.1007/978-981-15-9712-1_24
Publikováno v:
HPCC/SmartCity/DSS
In many developing countries, rapid urbanisation of cities coupled with the lack of proper urban planning has made various streets susceptible to waterlogging during heavy rains. This severely affects the traffic movement across an entire city and le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aafbae4a1f58aec967797bf9ee95b50f
https://doi.org/10.1109/hpcc-smartcity-dss.2017.6
https://doi.org/10.1109/hpcc-smartcity-dss.2017.6
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811066139
This paper investigates the use of image processing techniques and machine learning algorithm of logistic regression to extract text from scanned forms. Conversion of printed or handwritten documents into digital modifiable text is a tedious task and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f97ea715a75c7d662e1ea532ba2e4b6c
https://doi.org/10.1007/978-981-10-6614-6_21
https://doi.org/10.1007/978-981-10-6614-6_21
Publikováno v:
2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence.
There have been many recent developments in integrating the Cloud with the Internet of Τhings (IoT) which comprise of up and coming technologies such as Smart Cities and Smart devices. This federation has resulted in research being directed towards
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53512e8e6b3fca698031cb0f3c241bca
https://doi.org/10.1109/confluence.2017.7943147
https://doi.org/10.1109/confluence.2017.7943147
Autor:
Apoorvi Sood, Swati Aggarwal
Publikováno v:
International Journal of Computer Applications. 24:13-17
The paper introduces various methods for classification like fuzzy logic, and its combination with artificial neural networks. Datasets from UCI Repository have been used for the implementation of classification models using Matlab 7.0 for Fuzzy Infe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bbc6072cea7338a5fa8098a1c46fbe9
https://doi.org/10.5120/2924-3866
https://doi.org/10.5120/2924-3866
Publikováno v:
2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT).
In this paper, parametrized non-sigmoidal, continuous and bounded function(s) are proposed as the activation function at the hidden nodes of a feedforward artificial neural networks (FFANN). On a set of 5 regression (benchmark) tasks that correspond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25ef3d8a047b5bcec82da0b0668445fd
https://doi.org/10.1109/icatcct.2015.7456935
https://doi.org/10.1109/icatcct.2015.7456935
Publikováno v:
IJCNN
For a single hidden layer feedforward artificial neural network to possess the universal approximation property, it is sufficient that the hidden layer nodes activation functions are continuous non-polynomial function. It is not required that the act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8724da2cca2e48b0df06923a6e2af0a
https://doi.org/10.1109/ijcnn.2015.7280440
https://doi.org/10.1109/ijcnn.2015.7280440