Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Mathur, Archana"'
Delivery of items from the producer to the consumer has experienced significant growth over the past decade and has been greatly fueled by the recent pandemic. Amazon Fresh, Shopify, UberEats, InstaCart, and DoorDash are rapidly growing and are shari
Externí odkaz:
http://arxiv.org/abs/2311.02017
To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks
Reducing the size of a neural network (pruning) by removing weights without impacting its performance is an important problem for resource-constrained devices. In the past, pruning was typically accomplished by ranking or penalizing weights based on
Externí odkaz:
http://arxiv.org/abs/2308.09955
Publikováno v:
In Journal of Molecular Liquids 1 March 2024 397
Publikováno v:
European Physics Journal ST Special issue on Modeling, Machine Learning and Astronomy, 2021, 1-14
What is habitability? Can we quantify it? What do we mean under the term habitable or potentially habitable planet? With estimates of the number of planets in our Galaxy alone running into billions, possibly a number greater than the number of stars,
Externí odkaz:
http://arxiv.org/abs/2104.02991
We present analytical exploration of novel activation functions as consequence of integration of several ideas leading to implementation and subsequent use in habitability classification of exoplanets. Neural networks, although a powerful engine in s
Externí odkaz:
http://arxiv.org/abs/1906.01975
We explore the efficacy of using a novel activation function in Artificial Neural Networks (ANN) in characterizing exoplanets into different classes. We call this Saha-Bora Activation Function (SBAF) as the motivation is derived from long standing un
Externí odkaz:
http://arxiv.org/abs/1806.01844
Autor:
Sarkar, Poulami, Saha, Snehanshu, Mathur, Archana, Aedula, Rahul, Kar, Saibal, Agrawal, Surbhi, Bora, Kakoli
A recent independent study resulted in a ranking system which ranked Astronomy and Computing (ASCOM) much higher than most of the older journals highlighting its niche prominence. We investigate the notable ascendancy in reputation of ASCOM by propos
Externí odkaz:
http://arxiv.org/abs/1805.03558
Autor:
Ginde, Gouri, Saha, Snehanshu, Mathur, Archana, Vamsi, Harsha, Dey, Sudeepa Roy, Gambhire, Swati Sampatrao
Visualization of the massive data is a challenging endeavor. Extracting data and providing graphical representations can aid in its effective utilization in terms of interpretation and knowledge discovery. Publishing research articles has become a wa
Externí odkaz:
http://arxiv.org/abs/1805.00390
A recent independent study resulted in a ranking system which ranked Astronomy and Computing (ASCOM) much higher than most of the older journals highlighting the niche prominence of the particular journal. We investigate the remarkable ascendancy in
Externí odkaz:
http://arxiv.org/abs/1803.04644
Akademický článek
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