Zobrazeno 1 - 10
of 17 806
pro vyhledávání: '"Jagannath A"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Accurate spatial information on Land use and land cover (LULC) plays a crucial role in city planning. A widely used method of obtaining accurate LULC maps is a classification of the categories, which is one of the challenging problems. Attem
Externí odkaz:
https://doaj.org/article/1886c751498741169eebdd0ab14cce74
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 2791-2807 (2023)
Topography plays a significant role in determining bushfire severity over a hilly landscape. However, complex interrelationships between topographic variables and bushfire severity are difficult to quantify using traditional statistical methods. More
Externí odkaz:
https://doaj.org/article/0d4b0794a74e488c9965fe095ce1ef50
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4804 (2023)
Remote sensing image scene classification with deep learning (DL) is a rapidly growing field that has gained significant attention in the past few years. While previous review papers in this domain have been confined to 2020, an up-to-date review to
Externí odkaz:
https://doaj.org/article/21efed6551d94f63ac38365f2ff0f286
Publikováno v:
Nepal Public Policy Review, Vol 1, Pp 68-86 (2021)
Nepal's food imports are growing at an alarming rate. Recent reports suggest a 65% jump in the imports of the key agricultural products between 2015 to 2020. It signals not only the growing dependency trends but also raises serious questions about th
Externí odkaz:
https://doaj.org/article/9623ff76b21046798b9b23d2b6438986
Publikováno v:
Atmosphere, Vol 14, Iss 3, p 559 (2023)
Scenario analysis and improved decision-making for wildfires often require a large number of simulations to be run on state-of-the-art modeling systems, which can be both computationally expensive and time-consuming. In this paper, we propose using a
Externí odkaz:
https://doaj.org/article/7ffb6daae284476d858a08fa188cb5e3
Autor:
Jagannath Aryal, Bipul Neupane
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 488 (2023)
Automated building footprint extraction requires the Deep Learning (DL)-based semantic segmentation of high-resolution Earth observation images. Fully convolutional networks (FCNs) such as U-Net and ResUNET are widely used for such segmentation. The
Externí odkaz:
https://doaj.org/article/09889b29b8d44ba28757e8eaa469fb09
Autor:
Ujjwal KC, Jagannath Aryal
Publikováno v:
Fire, Vol 5, Iss 6, p 213 (2022)
Fire authorities have started widely using operational fire simulations for effective wildfire management. The aggregation of the simulation outputs on a massive scale creates an opportunity to apply the evolving data-driven approach to closely estim
Externí odkaz:
https://doaj.org/article/e4e4a69bde85402ca5d39f1d51f1a083
The exponential increase in Internet of Things (IoT) devices coupled with 6G pushing towards higher data rates and connected devices has sparked a surge in data. Consequently, harnessing the full potential of data-driven machine learning has become o
Externí odkaz:
http://arxiv.org/abs/2405.17309
Autor:
Ahmad, Muhammad, Distifano, Salvatore, Khan, Adil Mehmood, Mazzara, Manuel, Li, Chenyu, Yao, Jing, Li, Hao, Aryal, Jagannath, Vivone, Gemine, Hong, Danfeng
Hyperspectral Image Classification (HSC) is a challenging task due to the high dimensionality and complex nature of Hyperspectral (HS) data. Traditional Machine Learning approaches while effective, face challenges in real-world data due to varying op
Externí odkaz:
http://arxiv.org/abs/2404.14955
The electron-electron and electron-phonon coupling in complex materials can be more complicated than simple density-density interactions, involving intertwined dynamics of spin, charge, and spatial symmetries. This motivates studying universal models
Externí odkaz:
http://arxiv.org/abs/2404.03731