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: 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: 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 ...
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Cyclone Ditwa Weakens Into Deep Depression; High Rainfall Alert For Tamil Nadu, Puducherry
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 ...
Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
Abstract: Alzheimer’s disease, a neurodegenerative illness that gradually impairs cognitive function, affects a large number of people worldwide. It is crucial to enhance early detection methods so ...
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