Synergistic evaluation of Sentinel 1 and 2 for biomass estimation in a tropical forest of India
Spatially explicit measurement of Above Ground Biomass (AGB) is crucial for the
quantification of forest carbon stock and fluxes. To achieve this, an integration of Optical and …
quantification of forest carbon stock and fluxes. To achieve this, an integration of Optical and …
Enhanced classification of hyperspectral images using improvised oversampling and undersampling techniques
In the era of climate change, monitoring and effective retrieval of soil, water bodies,
vegetation parameters etc. are of utmost importance which is successfully being executed …
vegetation parameters etc. are of utmost importance which is successfully being executed …
I know what you did last summer: object-level auto-annotation of holiday snaps
S Gammeter, L Bossard, T Quack… - 2009 IEEE 12th …, 2009 - ieeexplore.ieee.org
The state-of-the art in visual object retrieval from large databases allows to search millions of
images on the object level. Recently, complementary works have proposed systems to crawl …
images on the object level. Recently, complementary works have proposed systems to crawl …
Neural net time series forecasting framework for time-aware web services recommendation
Abstract The convergence of Social Mobility Analytics and Cloud (SMAC) technologies
resulted in an unexpected upsurge of web services on the internet. The flexibility and rental …
resulted in an unexpected upsurge of web services on the internet. The flexibility and rental …
Performance analysis of ensemble supervised machine learning algorithms for missing value imputation
S Kumar, MK Pandey, A Nath… - 2016 2nd International …, 2016 - ieeexplore.ieee.org
In this era of cloud computing, web services based solutions are gaining popularity. The
applications running on distributed environment seek new parameters for them to perform …
applications running on distributed environment seek new parameters for them to perform …
An econometric time series forecasting framework for web services recommendation
The convergence of SMAC technologies resulted in an unexpected upsurge of web services
on the internet. The flexibility and rental approach of the cloud makes it an attractive option …
on the internet. The flexibility and rental approach of the cloud makes it an attractive option …
Missing QoS-values predictions using neural networks for cloud computing environments
S Kumar, MK Pandey, A Nath… - … on Computing and …, 2015 - ieeexplore.ieee.org
Cloud computing environment is influenced by user-dependent quality of service (QoS)
parameters in evaluating the performance of Web services apart from others factors. Among …
parameters in evaluating the performance of Web services apart from others factors. Among …
A probe into performance analysis of real-time forecasting of endemic infectious diseases using machine learning and deep learning algorithms
The current work aims at probing the performance of real-time forecasting of endemic
infectious diseases by means of machine learning and deep learning techniques. An LSTM …
infectious diseases by means of machine learning and deep learning techniques. An LSTM …
A Deep Learning Approach for Classification of Medicare Beneficiaries Based on Gender and being Affected with Cancer
MK Pandey, K Subbiah - Procedia Computer Science, 2023 - Elsevier
With the advent of the Third computing platform of Social Mobility Analytics and Cloud
(SMAC), data is getting generated in huge amounts. This huge amount of data is collected …
(SMAC), data is getting generated in huge amounts. This huge amount of data is collected …
An LSTM based time series forecasting framework for web services recommendation
The convergence of Social Mobility Analytics and Cloud (SMAC) technologies gives rise to
an unforeseen aggrandization of the web services on the internet. The resilience and …
an unforeseen aggrandization of the web services on the internet. The resilience and …