Convolutional neural networks (CNNs) show commendable performance in computer vision, approaching high accuracy in a broad number of application domains. However, the training process of feature ...

Former CNN Moscow Bureau Chief Jill Dougherty joins Isa’s Book Club to discuss her memoir, ‘My Russia: What I Saw Inside the ...

In a WSN, sensors are always collecting information and transmitting it to other nodes. Their primary uses are in fields like defense, smart city development, and agricultural monitoring. The WSN ...

Heterogeneous tabular data are the most commonly used form of data and are essential for numerous critical and computationally demanding applications. On homogeneous datasets, deep neural networks ...

Deep Neural Networks (DNNs) have been widely used in various artificial intelligence (AI) applications due to their overwhelming performance. Furthermore, recently, several algorithms have been ...

To overcome this shortcoming, we propose a novel method based on Channel Attention Convolutional Neural Network (CA-CNN) for authenticity identification of Chinese baijiu. The underlying channel ...

Convolutional neural networks (CNN) have proven to be state of the art methods for many image classification tasks and their use is rapidly increasing in remote sensing problems. One of their major ...

This paper presents a solution addressing the challenges associated with increased screen time during remote work. Leveraging specialized hardware and convolutional neural networks, our real-time ...

The drug discovery process is well known to be lengthy and costly, making it imperative that new approaches are explored to increase the efficiency with which novel therapeutic candidates can be ...

What was it like to track the rising danger of this asteroid, and to ultimately determine that it’d miss us? This is the ...

This paper puts forward a LSTM and CNN based assemble neural network framework to distinguish different types of arrhythmias by integrating stacked bidirectional long shot-term memory (SB-LSTM) ...

In today’s world AI is becoming more popular, to improve the quality, and result of their product. So, we have also taken some groundbreaking step in the realm of plant disease detection, utilizing ...