S. Rasheed Mansoor Ali

Explainable Artificial Intelligence in Healthcare: Progress, Challenges, and Future Directions

S. Rasheed Mansoor Ali, Dr .A. Meher Nisha, K Anwar Sathik, K. Syed Kousar Niasi

This study aims to illustrate the significance of Abstract Science Intelligence (XAI) in the medical field, outlining its role in enhancing the interpretability of traditional "black-box" AI models.The goal of this research is to shed light on the significance of Abstract Science …

in (code pays fourni par la source)

Leveraging Artificial Intelligence and Machine Learning Techniques Improve Performance of Electrical Systems and Smart Grids

S. Rasheed Mansoor Ali, Gaurav Sharma, P. Sheker, Sharma AVNS et autres

The integration of AI and ML in electrical power systems and smart grids has the ability to greatly enhance their efficiency, reliability, along with sustainability. With the increasing complexity of modern power grids as well as the growing reliance on RES, AI …

in (code pays fourni par la source)

PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms

S. Rasheed Mansoor Ali, Mahmoud Ashraf, Fatty M. Salem, Hoda M. O. Mokhtar et autres

Evolutionary Algorithms (EAs) employ random or simplistic selection methods, limiting their exploration of solution spaces and convergence to optimal solutions. The randomness in performing crossover or mutations may limit the model's ability to evolve efficiently. This paper introduces Preference-Aligned Individual Reciprocity (PAIR), …

Enhancing Student Performance for Low Rank Students using Adaptive Deep Multi-Perception Pattern Learning Classification Model

S. Rasheed Mansoor Ali, K. Sundravadivelu, S. Muthukumar, Sandra Ibrahim

in (code pays fourni par la source)

Harris Hawks Optimization Based Feature Selection on High Dimensional data

Suvendu Kumar Jena, Gotte Ranjith Kumar, Ramy Riad Al–Fatlawy, S. Rasheed Mansoor Ali et autres

In recent times, evolutionary algorithms have been demonstrating significant benefits in feature selection due to their simplicity and global search capability. However, most of the existing evolutionary algorithms are computationally intensive for high-dimensional data. In order to decrease computational costs, effective evaluation …

in, iq (code pays fourni par la source)