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Menampilkan 1–4 dari 4 artikel
Enhanced Diagnosis of Skin Cancer from Dermoscopic Images Using Alignment Optimized Convolutional Neural Networks and Grey Wolf Optimization
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
Skin cancer (SC) is a highly serious kind of cancer that, if not addressed swiftly, might result in the patient’s demise. Early detection of this condition allows for more effective therapy and prevents disease development. Deep Learning (DL) approaches may be used as an effective and efficient tool for SC detection (SCD). Several DL-based algorithms for automated SCD have been reported. However, more efficient models are needed to improve accuracy. As a result, this paper introduces a new strat...
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Machine Learning Integration with Random Parameter Tobit model for sustainable road safety improvement.
Proceeding of the International Conferences on Engineering Sciences
Vol 1
, No 2
(2025)
:Pakistan is a developing country. Its transportation infrastructure mainly consists of road network. About 95% passengers and fright is transported using the road network. This high demand on road network is because of the unreliable railway system between the cities. Due to such high demand on road network the accident involvement risk of an individual is much high as compared to developed countries. This study uses a new modeling approach to estimate road safety risk for WTP. A correlat...
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Machine Learning Integration with Random Parameter Tobit Model for Sustainable Road Safety Improvement
Proceeding of the International Conferences on Engineering Sciences
Vol 1
, No 2
(2024)
Pakistan is a developing country. Its transportation infrastructure mainly consists of road network. About 95% passengers and fright is transported using the road network. This high demand on road network is because of the unreliable railway system between the cities. Due to such high demand on road network the accident involvement risk of an individual is much high as compared to developed countries. This study uses a new modeling approach to estimate road safety risk for WTP. A correlate...
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Lasso Tobit Principal Component Regression With An Application
International Journal of Science and Mathematics Education
Vol 1
, No 4
(2024)
One of the most crucial subjects in the analysis of statistical models is the identification of important variables. Therefore, the search for best variable selection methods is a good in obtaining best estimators. The Lasso method is considered the most effective approach for variable selection and parameter estimation in building statistical models with high explanatory power in representing the studied phenomenon. Therefore, using the Lasso method to estimate the parameters of a regression m...
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