One of the difficult things about raising chickens is that you aren’t the only thing that finds them tasty. Foxes, raccoons, ...

Abstract: Real time object detection in traffic surveillance is one of the latest topics in today’s world using Region based Convolutional Neural Networks algorithm in comparison with Convolutional ...

Using CNNs (Convolutional Neural Networks ... When analyzing images, for bone cancer detection CNN s selective capabilities are utilized to achieve efficient results. The first step involves applying ...

Abstract: The single object detection has been performed by using the concepts of convolution layers. A neural network consists of several different layers such as the input layer, at least one hidden ...

There is a growing demand for efficient object detection systems in robotics, autonomous vehicles, and smart surveillance. This paper presents an ultrasonic sensor-based system for object detection in ...

However, a single RGB camera may not be able to capture the actual object within the BB even if the CNN detector ... object using multiple cameras, the position of the BB on the camera image plane may ...

One of the AI applications in aquaculture is smart fish appetite detection using convolutional neural networks (CNNs). This article specifically discusses the hardware implementation of the R(2+1)D ...

Abstract: The majority of people who don't hear or speak depend upon sign language as their main method of communication. Sign language mastery presents particular difficulties to learners. Our system ...

Abstract: To address the challenges of low detection accuracy in optical remote ... and insufficient feature representation of small objects, this paper proposes LQ-MixerNeT, a novel CNN-Transformer ...