Browse Items (27 total)

A wide variety of diseases have a significant impact on tomato plants. To avoid crop quality issues, a prompt and precise diagnosis is crucial. Classifying plant diseases is one of the numerous applications where deep transfer learning models have…

Imbalanced datasets frequently occur in fields like fraud detection and medical
diagnosis, where the number of instances in the majority class vastly exceeds
those in the minority class. Traditional classification algorithms often become
biased…

Quantum algorithms are celebrated for their computational superiority over classical
counterparts, yet they pose significant learning challenges for non-physics
audiences. Among these, the Bernstein-Vazirani (BV) algorithm stands out for
its…

The distributed denial of service (DDoS) attack occurs when massive traffic from numerous computers is directed to a server or network, causing crashes and disrupting functionality. Such attacks often shut down websites or applications temporarily…

This research presents the design and implementation of a dual-band patch antenna (DBPA) optimized for 2.4 GHz and 5 GHz wireless local area network (WLAN) applications. The antenna features a modified rectangular patch with a cut corner and two…

Blind channel equalization (BCE) has been widely used in underwater communications due to its strong robustness against multipath propagation and its suitability for rapidly varying environments. However, there has been little research on the…

Accurate channel quality indicator (CQI) estimation is crucial for optimizing resource allocation, improving link adaptation, and sustaining high performance in long term evolution (LTE) networks. In real-world scenarios, where channel conditions…