Zobrazeno 1 - 10
of 1 988
pro vyhledávání: '"Dash A"'
Publikováno v:
AIP Conference Proceedings; 2023, Vol. 2981 Issue 1, p1-9, 9p
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:880-891
Since last few years, microarray technology has got tremendous application in many bio-medical researches. However, in order to efficiently recognize and apply this technology into the bio-medical areas is still very difficult and expensive. There ar
Autor:
Dinesh Dash, Partha Pratim Ray
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:9608-9621
Abrupt distributional covariate shift and abnormal data points can cause anomaly in the time series dataset. Such issue can exaggerate in the internet of things (IoT)-based scenario where continuous data is generated from the low-cost health sensors.
Autor:
Rajashree Dash, Rasmiranjan Mohakud
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:6280-6291
In recent history, Convolutional Neural Networks have attained breakthroughs in addressing many intractable problems in the domain of image processing. But its performance builds upon its chosen hyper parameters and it is a tedious job to manually fi
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:4286-4299
Gastroscopy is a widely adopted method for locating gastric lesions and performing the early screening and diagnosis of gastric cancer (GC). However, the effectiveness of traditional GC screening methods depends on the medical skills of the gastrosco
Autor:
Rasheda Akter, Raju Dash, S. M. Zahid Hosen, Maruf Rubayed, Nusrat Jahan Mouri, Mahmuda Khatun, Md. Junaid, Mohammad Ali Moni, Tania Sharmin, M. Mostafa, Muhammad Shaiful Alam
Publikováno v:
Medicinal Chemistry. 18:724-733
Background: One of the essential resources for developing new drugs are naturally derived biologically active lead compounds. Biomedical researchers and pharmaceutical companies are highly interested in these plant-derived molecules to develop the ne
Autor:
Dinesh Dash
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:7547-7556
To perform large-scale monitoring of sensitive events, energy harvesting wireless sensor network is considered where a mobile data sink MS collects data while travelling on a fixed path Pms. The sensor nodes sense environmental data continuously at a
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:3936-3946
This paper proposes an energy management (EM) model for residences in an inclining block rate (IBR) tariff environment. Given a cluster, i.e., a group of appliances which satisfies certain requirements, the proposed scheme is primarily driven by two
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:1684-1695
Probabilistic topic models, such as latent Dirichlet allocation (LDA), are often used to discover hidden semantic structure of a collection of documents. In recent years, various inference algorithms have been developed to cope with learning of topic
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:1006-1019
This paper presents an algorithmic approach to design reliable deep neural networks (DNN) in the presence of stochastic variations in the network parameters induced by process variations in the bit-cells in a processing-in-memory (PIM) architecture.