Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Reddy Kishore"'
Autor:
Vogler, Nikolai, Goyal, Kartik, Reddy, Kishore PV, Pertseva, Elizaveta, Lemley, Samuel V., Warren, Christopher N., G'Sell, Max, Berg-Kirkpatrick, Taylor
In this paper, we develop machine learning techniques to identify unknown printers in early modern (c.~1500--1800) English printed books. Specifically, we focus on matching uniquely damaged character type-imprints in anonymously printed books to work
Externí odkaz:
http://arxiv.org/abs/2306.07998
Autor:
Talisuna Ambrose O, Grevval Penny, Balyeku Andrew, Egan Timothy, Bwire Godfrey, Piot Bram, Coghlan Renia, Lugand Maud, Rwakimari John, Ndyomugyenyi Richard, Kato Fred, Byangire Maria, Kagwa Paul, Sebisubi Fred, Nahamya David, Bonabana Angela, Mpanga-Mukasa Susan, Buyungo Peter, Lukwago Julius, Batte Allan, Nakanwagi Grace, Tibenderana James, Nayer Kinny, Reddy Kishore, Dokvval Nilesh, Rugumambaju Sylvester, Kidde Saul, Banerji Jaya, Jagoe George
Publikováno v:
Malaria Journal, Vol 11, Iss Suppl 1, p O16 (2012)
Externí odkaz:
https://doaj.org/article/a2ae9b846e0b4148b181903aa346cecd
We propose a novel image based localization system using graph neural networks (GNN). The pretrained ResNet50 convolutional neural network (CNN) architecture is used to extract the important features for each image. Following, the extracted features
Externí odkaz:
http://arxiv.org/abs/2103.09435
In this paper we apply guided policy search (GPS) based reinforcement learning framework for a high dimensional optimal control problem arising in an additive manufacturing process. The problem comprises of controlling the process parameters so that
Externí odkaz:
http://arxiv.org/abs/2009.05838
Autor:
Hoang, Minh Tu, Yuen, Brosnan, Ren, Kai, Dong, Xiaodai, Lu, Tao, Westendorp, Robert, Reddy, Kishore
This paper proposes a combined network structure between convolutional neural network (CNN) and long-short term memory (LSTM) quantifier for WiFi fingerprinting indoor localization. In contrast to conventional methods that utilize only spatial data w
Externí odkaz:
http://arxiv.org/abs/2005.06394
Publikováno v:
IEEE Sensors Journal Volume 20 Issue 11 (2020) 6160 - 6169
This paper proposes a semi-sequential probabilistic model (SSP) that applies an additional short term memory to enhance the performance of the probabilistic indoor localization. The conventional probabilistic methods normally treat the locations in t
Externí odkaz:
http://arxiv.org/abs/2001.02400
Autor:
Talisuna Ambrose O, Daumerie Penny, Balyeku Andrew, Egan Timothy, Piot Bram, Coghlan Renia, Lugand Maud, Bwire Godfrey, Rwakimari John, Ndyomugyenyi Richard, Kato Fred, Byangire Maria, Kagwa Paul, Sebisubi Fred, Nahamya David, Bonabana Angela, Mpanga-Mukasa Susan, Buyungo Peter, Lukwago Julius, Batte Allan, Nakanwagi Grace, Tibenderana James, Nayer Kinny, Reddy Kishore, Dokwal Nilesh, Rugumambaju Sylvester, Kidde Saul, Banerji Jaya, Jagoe George
Publikováno v:
Malaria Journal, Vol 11, Iss 1, p 356 (2012)
Abstract Background Artemisinin-based combination therapy (ACT), the treatment of choice for uncomplicated falciparum malaria, is unaffordable and generally inaccessible in the private sector, the first port of call for most malaria treatment across
Externí odkaz:
https://doaj.org/article/ccf735cd05ba4a768d77732d6f9dbc40
Autor:
Lore, Kin Gwn, Reddy, Kishore K.
The performance of machine learning model can be further improved if contextual cues are provided as input along with base features that are directly related to an inference task. In offline learning, one can inspect historical training data to ident
Externí odkaz:
http://arxiv.org/abs/1910.08438
Publikováno v:
IEEE Internet of Things Journal Volume 6, Issue 6 (2019) 10639 - 10651
This paper proposes recurrent neuron networks (RNNs) for a fingerprinting indoor localization using WiFi. Instead of locating user's position one at a time as in the cases of conventional algorithms, our RNN solution aims at trajectory positioning an
Externí odkaz:
http://arxiv.org/abs/1903.11703
Publikováno v:
BMC Ophthalmology, Vol 4, Iss 1, p 16 (2004)
Abstract Background Keratocyte loss by apoptosis following epithelial debridement is a well-recognized entity. In a study of corneal buttons obtained from patients of corneal ulcer undergoing therapeutic keratoplasty, we observed loss of keratocytes
Externí odkaz:
https://doaj.org/article/4af50e837ccc45bea5e6d79845a1ada7