Extending technologies and data development culminated in the need for quicker and more
reliable processing of massive data sets. Machine Learning techniques are used …

Rapidly growing virtual reality (VR) technologies and techniques have gained importance
over the past few years, and academics and practitioners have been searching for efficient …

For high-dimensional data, the traditional feature selection method is slightly inadequate. At
present, most of the existing hybrid search methods have problems of high computational …

Photovoltaic (PV) systems are subject to failures during their operation due to the aging
effects and external/environmental conditions. These faults may affect the different system …

Intrusion detection is one of the most critical network security problems in the technology
world. Machine learning techniques are being implemented to improve the Intrusion …

This study investigates the efficacy of Explainable Artificial Intelligence (XAI) methods,
specifically Gradient-weighted Class Activation Mapping (Grad-CAM) and Shapley Additive …

Skin cancer is among the primary cancer types that manifest due to various dermatological
disorders, which may be further classified into several types based on morphological …

Wearable technology is an emerging method for the early detection of coronavirus disease
2019 (COVID-19) infection. This scoping review explored the types, mechanisms, and …

In this paper, several works have been presented related to clustering parallel computing for
distributed systems. The trend of the paper is to focus on the strengths of previous works in …

Time series forecasting is fundamental for various use cases in different domains such as
energy systems and economics. Creating a forecasting model for a specific use case …