The International Scientific-Technical Conference entitled “Selected Issues in Building Structure Design” BSD2022 is organised by the Department of Mechanics, Metal Structures and Computer Methods at the Faculty of Civil Engineering and Architecture, University of Technology in Kielce on 14^th and 15^th of July 2022.

Recent techniques in the field of science explores the study and development of algorithms that can learn from and make predictions and decisions based on collected data through the Intelligent devices. Big Data Analytics, AI and Software Defined Networking are helping to drive the management of data and usage of the exceptional increase of computational power provided by Cloud Computing. This Special Issue explores novel concepts and cutting-edge research and developments towards designing the fully automated advanced digital networks. Fostered by technological advances in Big Data, AI and ML, such systems potentially have a wide range of applications in networking and communication security. The special issue covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions. The next generation protocols will learn and train themselves dynamically to improve the reliability, fault tolerance, security, and storage optimization in Cloud. These new concepts will allow networks algorithms to ‘learn’ and change elastically based on the information they are exposed to.

Next-generation artificial intelligence (NGAI) such as machine-learning, deep-learning and beyond is projected to be very complicated and dynamic. Moreover, in industrial internet of things (IIoT), the rise of ultra-dense heterogeneous network deployment, high data rates, and new applications that necessitate a new wireless radio technology paradigm may also offer numerous important problems for network administration, operation, planning, and troubleshooting. In recent years, mobile edge computing and the internet of things (IoT) have been utilized in mobile networks that offer a barrier to new technology demands. The major emphasis of technological development is data transmission and decreasing throughput and network stress. The network focused on growing demands for data storage, computing, and low latency treatment in areas such as smart cities, transportation, smart grids, and many other sustainable settings. Blockchain is fundamentally a great companion to IoT, enabling trust formation, repository, and transfer due to enhanced interoperability, dependability, and scalability. The confluence of edge intelligence and blockchain has a natural benefit since they have similar demands for data analysis, security, and trust. However, the combination of blockchain and edge intelligence remains a mystery. The aim of this special issue is to disseminate the latest research and innovation in the fields of next-generation artificial intelligence, edge computing and industrial internet of things.

Future engineering systems will rely heavily on Cyber-Physical Human Systems (CPHSs) to design and build new capabilities that exceed today's levels of autonomy, flexibility, affordability, durability, and cyber security. A digital twin is a digitized representation of a physical object or action connected to the Internet of Things (IoT) in real-time. It can be used for multiple things such as monitoring, diagnosing, optimizing, and controlling asset performance and utilization. Recent breakthroughs in healthcare are increasingly reliant on medical devices and systems networked via the Internet of Intelligent Things (IoIT ) and must address the needs of patients in unusual circumstances.
As a result, dynamically reconfigured intelligent patient interaction complex IoIT will be required. There are numerous challenges in cyber-physical human systems when integrated with IoT. Appropriate digital twin configuration through advanced multi-sensors can be used to overcome the limitations in the CPHSs. Similarly, the design and management of smart renewable energy systems and power distribution using smart grids can be optimized using IoIT.   To produce high-performance, dependable, and low-cost CPHSs that serve humanity, several key problems must be answered.

Deadline for full-length paper submission extended to July 31, 2022!

This special issue introduces the emerging intelligent technologies in healthcare, which deploy big medical data, artificial intelligence, cloud/fog scientific computing, federated learning, bio-inspired computation, Internet of medical things, wireless technologies, 5G and beyond, security and privacy, semantic database, content-based image retrieval, augmented/virtual/mixed reality, etc. The health monitoring and diagnosis for the target structure of interest are achieved through the interpretation of collected data. The advances in sensor technologies and data acquisition tools have led to the new era of big data, where massive medical data are collected by different sensors.

We welcome contributions to the intelligent biomedical data acquisition and processing topics that support prospective healthcare applications. We also invite research that discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and internet technologies.

Deadline for full-length paper submission: April 30, 2022

5th International Conference on Inverse Problems Methods IPM 2019, 22–24.05.2019, Rzeszów–Kombornia, Poland