Automatic detection of acute leukemia (ALL and AML) utilizing customized deep graph convolutional neural networks

L Zare, M Rahmani, N Khaleghi, S Sheykhivand… - Bioengineering, 2024 - mdpi.com
Leukemia is a malignant disease that impacts explicitly the blood cells, leading to life-
threatening infections and premature mortality. State-of-the-art machine-enabled …

Optimal demand management of smart energy hybrid system based on multi-objective optimization problem

S Askar, A Sadikova, RJ Mohammed… - … and Technology for …, 2024 - stet-review.org
This paper presents a multi-objective problem for the energy planning of an energy hybrid
system. The problem considers three main objectives: minimizing emission pollution and …

Optimal day-ahead energy scheduling of the smart distribution electrical grid considering hybrid demand management

O Candra, R Pradhan, AN Shukhratovna… - Smart Grids and …, 2024 - Springer
The study presents a two-level multi-objective approach for energy scheduling in a smart
distribution electrical grid. The proposed energy optimization strategy combines hybrid …

Achieving Net-Zero Energy Buildings: Analyzing and Optimizing Strategies Using Sensitivity Analysis

AA Motlagh, S Havaeji, M Orangian… - Journal of Asian …, 2024 - ejournals.lib.hkbu.edu.hk
Enhancing building energy efficiency and incorporating renewable energy technologies are
crucial for combating climate change and promoting sustainability. This study employed a …