A5009335932- Machine Learning in Bioinformatics
- Data-Driven Disease Surveillance
- Misinformation and Its Impacts
- Evaluation Methods in Various Fields
- Radiomics and Machine Learning in Medical Imaging
- Cell Image Analysis Techniques
- AI in cancer detection
- Inhalation and Respiratory Drug Delivery
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Pulmonary Hypertension Research and Treatments
- Energy Load and Power Forecasting
- Smart Grid and Power Systems
National University of Computer and Emerging Sciences
2024
Washington University in St. Louis
2024
Objective The mitotic activity index is an important prognostic factor in the diagnosis of cancer. task mitosis detection difficult as nuclei are microscopic size and partially labeled, there many more non-mitotic compared to ones. In this paper, we highlight challenges current pipelines propose a method tackle these challenges. Methods Our proposed methodology inspired from recent research on deep learning extensive analysis dataset training pipeline. We first used MiDoG′22 for training,...
<title>Abstract</title> The traditional power grid is evolving into a smart grid, integrating advanced two-way communication technologies and greater proportion of renewable energy sources, resulting in more dynamic flexible network. Accurate load forecasting crucial for effective operation, planning, management the grid. Short-term (STLF) particularly challenging due to high variability unpredictability individual consumer behavior, which can impact accuracy complicate daily operations...