Ahsanullah University of Science and Technology

Machine learning for predictive maintenance in energy storage systems: A systematic review of health prediction, fault diagnosis, and deployment challenges

This research examines the function of machine learning in the predictive maintenance of energy storage systems (ESS), highlighting its capacity to improve system reliability, efficiency, and longevity. The text commences with a summary of the foundational principles of predictiv...

Hybrid deep learning for smart grid SCADA intrusion detection with mutual information feature selection for smart meter data analysis

The rapid evolution of smart grid infrastructure has intensified the dependence on SCADA-based supervisory systems for real-time energy management, grid reliability monitoring, and seamless integration of renewable energy sources. However, the growing digitalization of these cybe...

Entrepreneurship in marine protected areas: A pathway to livelihood diversification and conservation in island communities

Fostering alternative livelihoods and building capacity within protected areas require the development of a sustainable business culture that ensures long-term economic benefits in these zones. This study examines the existing entrepreneurial landscape within Marine Protected Are...

Wave energy harvesting: Extraction of maximum energy from the oceanic wave by design optimization of a linear electrical generator

Due to the intermittent nature of oceanic waves, extraction of maximum wave energy is challenging by only improving the efficiency of direct drive linear electrical generators (LEGs). Site specific wave characteristics further complicate performance optimization. The existing des...

Enhancement of UV Protection and Performance of Reactive-Dyed Cotton Fabrics via TiO2 Nanoparticle Pad–Dry–Cure Treatment

The development of multifunctional textiles with enhanced ultraviolet (UV) protection has attracted increasing attention due to the growing demand for protective and high-performance clothing. In this study, cotton fabrics dyed with reactive dyes at three dye concentrations (0.5%...