Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jeevan Bala"'
Autor:
Jeevan Bala, Kamlesh Lakhwani
Publikováno v:
Multidimensional Systems and Signal Processing. 31:1259-1275
An efficient estimation of transmission map for desmogging model is an ill-posed problem. The quality of restored image depends upon the accurate estimation of transmission map. However, transmission map obtained using various dehazing models is not
Publikováno v:
Mathematical Problems in Engineering.
The recommended tool for assessing knee injury is magnetic resonance imaging (MRI). However, knee MRI interpretation takes time and is vulnerable to clinical errors and inconsistency. A deep learning automated technique for reading knee MRI might hel
Publikováno v:
International Journal of Nanotechnology. 20:421
Publikováno v:
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM).
The regular attendance system continued in the educational system where the instructor announced the name of every single student and marked the attendance, causing time wastage during address time. This turned out to be increasingly more time-consum
Autor:
Kamlesh Lakhwani, Jeevan Bala
Publikováno v:
2020 3rd International Conference on Emerging Technologies in Computer Engineering: Machine Learning and Internet of Things (ICETCE).
Smog is defined as an intense air pollution. It is a combination of haze and fog and it degrades the visibility of outdoor image at a great extent. Therefore, existing imaging systems are unable to obtain the potential information from these weather
Autor:
Jeevan Bala, Kamlesh Lakhwani
Publikováno v:
Modern Physics Letters B. 33:1950056
The worsening air pollution is producing serious smog problems in the world. The high concentration of aerosol, that attenuates the scene radiance and adds undesired scattering illumination into the actual illumination values, has a serious effect on
Publikováno v:
Indian Journal of Science and Technology. 9
Objectives: To design a new framework to efficiently parallelize the steps of VLASPD algorithm using a hybridized apriori and fp-growth on GPU; to implement the existing and proposed framework in CUDA;to improve the performance factors like computati