Soil temperature is one of the most significant parameters that plays a crucial role in glacier
energy, dynamics of mass balance, processes of surface hydrological, coaction of glacier …

Potato farming has problems in the form of diseases that often attack potato leaves. This
disease can affect potato crop production and can even result in crop failure. Early detection …

This review delves into Facial Beauty Prediction (FBP) using deep learning, specifically
focusing on convolutional neural networks (CNNs). It synthesizes recent advancements in …

Defect detection is a critical component in ensuring the highest quality of printed circuit
board manufacture. The work investigates the application of transfer learning to identify …

This paper delves into the realm of artificial intelligence, where an array of deep learning
techniques has proven effective in automating crop leaf disease identification and …

Zero-day attacks pose a paramount challenge to contemporary cybersecurity experts. These
exploits capitalize on undisclosed security vulnerabilities within software or operating …

Climate change, including rising temperatures, droughts, and floods, has recently become a
global concern. In the agricultural sector, it is anticipated that climate change will …

The agriculture sectors, which account for approximately 50% of the worldwide economic
production, are the fundamental cornerstone of each nation. The significance of precision …

Abstract Deep Neural Networks (DNNs) have become a popular instrument for solving
various real-world problems. DNNs' sophisticated structure allows them to learn complex …

The integration of Deep Reinforcement Learning (DRL) techniques in the context of smart
irrigation systems is examined in this chapter. Smart irrigation has become a viable solution …