Advancements in early detection of lung cancer in public health: a comprehensive study utilizing machine learning algorithms and predictive models
Lung cancer stands as the leading cause of death in the United States, attributed to factors
such as the spontaneous growth of malignant tumors in the lungs that can metastasize to …
such as the spontaneous growth of malignant tumors in the lungs that can metastasize to …
[PDF][PDF] Adaptive Risk Management and Resilience in Automated Electronics Industry
DOI: https://zenodo. org/records/10776947 Abstract The electronics industry stands as one
of the largest sectors in the United States, encompassing the design, manufacturing, testing …
of the largest sectors in the United States, encompassing the design, manufacturing, testing …
[PDF][PDF] Sustainable Industrial Practices: Creating an Air Dust Removal and Cooling System for Highly Polluted Areas
J Biswas, S Das, IM Siddique… - European Journal of …, 2024 - researchgate.net
The conceptualization of the industrial air dust removal and air-cooling machine is rooted in
the principles of fluid mechanics and the practical application of applied chemistry. Dust …
the principles of fluid mechanics and the practical application of applied chemistry. Dust …
[PDF][PDF] Operational Advancement Through Data-Driven Machine Learning Techniques
The layer-wise production paradigm of additive manufacturing technologies allows for the
collecting of a huge number of pieces. This study focuses on the application of data analytics …
collecting of a huge number of pieces. This study focuses on the application of data analytics …
Developing a hierarchical decision model to evaluate nuclear power plant alternative siting technologies
MM Lingga - 2016 - search.proquest.com
Developing a Hierarchical Decision Model to Evaluate Nuclear Power Plant Alternative Siting
Technologies by Marwan Mossa Lingga Page 1 Developing a Hierarchical Decision Model to …
Technologies by Marwan Mossa Lingga Page 1 Developing a Hierarchical Decision Model to …
Weighted autocorrelation based prediction interval optimization for wind power generation
In this paper, an optimization methodology for the weighted autocorrelation based prediction
interval is proposed and applied for the prediction of the wind power generation. The …
interval is proposed and applied for the prediction of the wind power generation. The …
Techno-Economical Study of Using Nuclear Power Plants for Supporting Electrical Grid in Arabian Gulf
AM Eltamaly, ANA Elghaffar - Technology and Economics of Smart Grids …, 2017 - Springer
Generating electric power in Gulf region is depending on fossil fuels especially crude oil,
natural gas and coal plus their derivatives. With increasing of the life standard and the world …
natural gas and coal plus their derivatives. With increasing of the life standard and the world …
[PDF][PDF] Mathematics of fusion reactors and energy gain factor model
SB Alam, P Karmokar, A Khan… - Journal of Energy …, 2011 - academia.edu
Particles are accelerated by gaining the energy from back ground plasmas through MHD
waves. Particles are scattered by the MHD waves which are raised by instability of …
waves. Particles are scattered by the MHD waves which are raised by instability of …
[PDF][PDF] Electronic Properties of Nanostructured Quantum Dots
SB Alam, MD Alam, T Farheen, M Abdullah-Al-Mamun… - academia.edu
In this paper, property analysis of quantum dot cuboid nanocrystals with different
nanostructures are shown by simulation results for particular device structure and boundary …
nanostructures are shown by simulation results for particular device structure and boundary …
[PDF][PDF] Carbon Sequestration and Storage (CCS) from Fossil Fuel
SB Alam, MR Bulbul, MA Matin - Citeseer
At present, fossil fuels are the dominant source of the global primary energy demand, and
will likely remain so for the rest of the century. Fossil fuels supply over 85 percent of all …
will likely remain so for the rest of the century. Fossil fuels supply over 85 percent of all …