Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...

Abstract: The utilization of digital video alterations has been observable for an extended period thanks to skillful deployment of visual enhancements; however, the latest progressions in deep ...

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) enables high-rate data transmission wards wirelss broadband connections. Accurate channel estimation continues to be an unsolved issue in ...

Abstract: Plant diseases have important consequences for livelihoods and economies, both on local and global scales, whereby the spread of plant pathogens can lead to high levels of damage to ...

Abstract: Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles. This study investigates a hybrid approach ...

Abstract: Advancements in instrumentation and control systems for lower limb prostheses have substantially improved mobility for amputees. However, significant challenges persist when users encounter ...

Abstract: Coffee is one of the most popular beverages nowadays. To ensure the quality of coffee beans, farmers must go through a sorting process to distinguish between normal and defective beans.

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...

Abstract: Marine exploration, environmental monitoring as well as autonomous underwater vehicles need underwater imaging, however, it is severely degraded by light absorption, scattering and color ...

In this news bulletin, the focus is on Cyclone Ditwa, which has weakened into a deep depression over the Southwest Bay of Bengal. The Indian Meteorological Department (IMD) reports that the system is ...