Deep learning models are efficient in learning the features that assist in understanding
complex patterns precisely. This study proposed a computerized process of classifying skin …

Alternaria leaf blotch, and rust are two common types of apple leaf diseases that severely
affect apple yield. A timely and effective detection of apple leaf diseases is crucial for …

The rapid growth of mobile internet services has yielded a variety of computation-intensive
applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which …

Machine learning has been increasingly prevailing all over the world, especially in the
computer vision field. This paper mainly focused on the performance of MobileNetV2 model …

Efficient methods developed with deep learning in the last ten years have provided
objectivity and high accuracy in the diagnosis of skin diseases. They also support accurate …

Recognition of bird species can be a challenging task due to various complex factors. The
purpose of this work is to distinguish various local bird species of Bangladesh from the …

With the advancements of the Internet of Things (IoT) technology, applications of battery
powered machine vision based IoT devices is rapidly growing. While numerous research …

With the recent advancements in Autonomous Vehicles (AVs), two important factors that play
a vital role to avoid accidents and collisions are obstacles and track detection. AVs must …

针对日益凸显的船舶值班人员疲劳驾驶问题, 为有效预警值班驾驶员的疲劳状态,
保障船舶航行安全, 研究了基于深度学习的疲劳检测算法. 考虑到船舶驾驶台空间大 …

In citrus cultivation, it is a difficult task for farmers to classify different pests correctly and
make proper decisions to prevent citrus damage. This work proposes an efficient modified …