Mathematical methods have become increasingly prevalent as a practical tool for the understanding of complex data and offering intelligent processing to help save people time and effort. In today’s era, various objects are communicating through the Internet of Things (IoT) in real-time scenarios using networking technologies. IoT is widely utilized in various domains like smart environments, agriculture fields, smart homes, smart cities, and healthcare systems.

Mathematical methods for various applications of IoT-based signal and image processing applications present important mathematical groundworks and tools. It emphasizes the main mathematical tools for the representation and manipulation of knowledge symbolically. The main tools for manipulating knowledge non-symbolically, such as neural nets, are optimization methods and statistics.

The scope of this Special Issue includes an extensive range of topics for the application of quantitative, combinatorial, logical, algebraic, and algorithmic methods to various areas as diverse as decision support, computer vision, automated deduction, reasoning, machine learning, knowledge-based systems, fuzzy approaches, robotics, and planning. It is hoped to influence the spawning of new areas of applied mathematics and the consolidation of the scientific foundations of IoT-based signal and image processing applications. The Internet has become a vital part of one’s life; to take this to the next step, the Internet has been connected to various devices. Using smart technologies, all devices are connected to one another to create a worldwide ubiquitous network. This Special Issue covers the new fundamental methods in IoT-based signal and image processing applications and related fields, as well as the various applications in different applied areas, such as agriculture, remote, medicine, and engineering. We welcome original research and review articles.

Potential topics include but are not limited to the following:

• Design of the mathematical methods for the Internet of Things (IoT)
• Mathematical modeling of devices for real-time processing
• Real-time series analysis for signals
• Modeling of real-time signal monitoring with IoT features
• Advanced mathematical methods for the Internet of Medical Things
• IoT-based mathematical model establishment for sports
• Challenges in mathematic modeling of IoT
• Fuzzy theory for abnormal region segmentation in images
• Noise cancellation in signals like EEG, ECG, MG, etc
• Watermarking in images using mathematical methods
• Image registration and fusion techniques using mathematical methods
• Equalization methodologies in 1-D signals
• Image sampling, interpolation, and compression using mathematical methods
• Image filtering and enhancement using mathematical methods
• Mathematical methods for image texture analysis, image denoising, noise removal, computer interface development with IoT, signal interface, image indexing and retrieval techniques, image quality assessment, image morphology, edge detection, segmentation, signal and image processing in healthcare, agriculture, industry, sports, remote sensing, defense, etc