Call for Papers-Special Session: Applications of Artificial Intelligence and IoT in Computer Science and Engineering, 6th International Conference on Computer Science and Application Engineering, CSAE 2022,Nanjing, China, October 21 to 23, 2022 (original) (raw)
Related papers
ICTACS-2022, 2022
This session aims to target young researchers (TYR) to enhance the research in Applications of Computational Intelligence, Internet of Things and Cutting Edge Technologies to bring out the real life importance of Computational Sciences to the society and the world. The TYR are Students in diverse countries, Practitioners, Professionals, Scientists, Industrialists, and Engineers-Researchers of various sectors. The session will give an appropriate solution for Applications of Artificial Intelligence (AAI) Experts to device monitoring, security, daily routine management, home automation which helps in taking real-life crucial decisions. The role of artificial intelligence, internet of things and various new cutting edge technologies is changing the lifestyle of human beings and the way in which objects are linked to real world using available interfaces and various communication technologies. The drastic evolution of Artificial Intelligence and Internet of Things has transformed into a network of interconnected devices to collect data from real world. The Devices interconnect with other counterparts using novel internet protocols and standards and provide Computational Intelligence based solutions to develop and deploy AI-IOT..
Artificial Intelligence and its Applications in the Field of Internet of Things (Iot
International Journal of Research in Science & Engineering, 2024
Artificial Intelligence (AI) and the Internet of Things (IoT), are innovative technologies that have revolutionized many fields independently. Altogether, this convergence offers a daunting possibility for innovation of a number of aspects of smartness in a range of domains on the one hand and the optimization of those aspects for sustainability on the other hand. Machine learning and deep learning help IoT devices and networks perform analytics on big data and achieve real-time decision making and automation. In smart cities AI based IoT helps in the self-organizing and self-optimizing of traffic management, and utilization of energy, and increases public safety by applying predictive analytics to the actual management of a city. The telemedicine receiving aid from AI IoT includes the detecting of sickness onset with a device that monitors patients and creates corresponding customized treatment regimens. The same way applied to IIoT where AI is implemented for predictive maintenance, quality assurance, inventory control and in turn, the achievement of alleviated downtime and improved production. Ethical issues related to bias in algorithms, and subsequent decision making via the use of Artificial Intelligence add another layer of concern in terms of deployment and utilization. Prospects for the future include such trends as edge computing, the AIoT is AI + IoT amalgamation, and the disruptive effect of quantum computing on AI applications for the IoT. The mitigation of these difficulties and the exploitation of these opportunities will open the path to proper optimizations of AI-based IoT systems as concerns effectiveness, security and/or ethics. This article stresses how AI is mandatory to the implementation of an ideal IoT system by exploring current uses, future developments, and problems that are vital for the advancement of IoT.
Journal of Robotics and Control (JRC)
In this modern age, Internet of Things (IoT) and Wireless Sensor Network (WSN) as its derivatives have become one of the most popular and important technological advancements. In IoT, all things and services in the real world are digitalized and it continues to grow exponentially every year. This growth in number of IoT device in the end has created a tremendous amount of data and new data services such as big data systems. These new technologies can be managed to produce additional value to the existing business model. It also can provide a forecasting service and is capable to produce decision-making support using computational intelligence methods. In this survey paper, we provide detailed research activities concerning Computational Intelligence methods application in IoT WSN. To build a good understanding, in this paper we also present various challenges and issues for Computational Intelligence in IoT WSN. In the last presentation, we discuss the future direction of Computatio...
Application of artificial intelligence on internet of things(IOT)
Journal of emerging technologies and innovative research, 2019
The internet of things (IOT) concept has evolved into one of pillars of the new technologies sector. Artificial intelligence is added to IOT systems because it is a best solution to manage huge data flows and storage on IOT. In IOT the data flows internets will have sensor data and user data that send and receive from workstations. Due to increase in workstations and sensors, some data may be facing problems on storage, delay, channel limitation and congestion of networks. It is overcomed by artificial intelligence which is defined for the purpose of data mining, manage and control of congestion in networks. The aim of this paper is to present the application of artificial intelligence on IOT. The importance of data mining and management will be highlighted in this paper through the application of artificial intelligence in self driving cars. Keywords—Internet of things, artificial intelligence, mechatronics, neural networks, fuzzy logic, self driving cars, radar and lidar sensors.
This session aims to target young researchers (TYR) to enhance the research in Applications of Artificial Intelligence in IoT Security to bring out the real life importance of Communication, Security and Artificial Intelligence to the society and the world. The TYR are Students in diverse countries, Practitioners, Professionals, Scientists, Industrialists, and Engineers-Researchers of various sectors. The session will give an appropriate solution for Applications of Artificial Intelligence (AAI) Experts to device monitoring, security, daily routine management, home automation which helps in taking real-life crucial decisions. The Internet-of-Things (IoT), a revolutionary technology embeds the internet into physical devices thus granting them capabilities of identification and utilization of whatever form of input/output they are designed to give or take. It also opens the window to cross globe connection. IoT, being an incredibly huge network of connected devices allows data to be easily shared and retrieved surpassing the boundaries of time, region, and space, gives rise to the concept of Pervasive Computing which integrates the features of the internet, digital, and communication sectors into one technology thereby enabling the machines to become truly independent. Through Systematic incorporation of Artificial Intelligence and Internet of Things in Real Life Sciences, even Walmart Is Using Artificial Intelligence and Internet of Things To Boost Retail Performance. This helps domain experts to learn practical studies and its challenges of unbiased and rigorous evidences in Artificial Intelligence and Internet of Things in Communication and Security.
Application of artificial intelligence in Internet of Things
2017 9th International Conference on Computational Intelligence and Communication Networks (CICN)
Artificial intelligence is the best solution to manage huge data flows and storage in the IoT network. IoT nowadays becoming more and more popular with the inventions of highspeed internet networks and many advanced sensors that can be integrated into a microcontroller. The data flows internets now will have sensors data and user data that send and receive from the workstations. With the increase in the number of workstation and more and more sensors, some data may be facing problems on the storage, delay, channels limitation and congestion in the networks. To avoid all these problems, there were many algorithms were proposed in the past of 10 years. Among all the algorithms, Artificial Intelligence still being the best solution to the data mining, manage and control of congestion in the network. The aim of this paper is to present the application of artificial intelligence system in the IoT. The importance of data mining and management will be highlighted in the paper. Also, the method used in the Artificial Intelligence like fuzzy logics and neural network also will be discussed in this paper in conjunction with IoT network. The self-optimizing network and software defined network are parts of the important parameters in the Artificial Intelligence IoT System.
Intelligence of Things: Opportunities & Challenges
2018 3rd Cloudification of the Internet of Things (CIoT), 2018
The Internet of Things (IoT) is a promising technology that can connect and communicate virtual and physical objects globally. It allows billions of devices to be connected and communicate with each other to share information that creates new application and services. These services result in improving our quality of life. On the other hand, Artificial Intelligence (AI) is applied in many fields of science. It aims to understand techniques that require an intelligent action and solve complex problems. Integrating IoT with AI will create a powerful technology that can solve many of IoT problems that relate to the huge amount of data created by different IoT devices. With the huge analytic capabilities of AI, IoT data can be analysed efficiently to extract meaningful information. In addition, AI can help IoT devices to interact with humans and other objects intelligently and make autonomous decisions. This paper provides an overview of the integration of the IoT with AI by highlighting the integration benefits and opportunities of AI in different IoT applications. Challenges standing in the way of successful convergence of IoT with AI are also discussed. We can conclude that the integration of AI with IoT will generate a robust technology that can help companies to avoid unplanned downtime, increase operating efficiency, and enable new IoT applications and services.
LITERATURE SURVEY ON MACHINE LEARNING WITH INTERNET OF THINGS (IOT
IAEME PUBLICATION, 2020
The innovation through interconnection of various gadgets via web is named as Internet of things (IoT). Creates of IoT has a vast measure of information regarding different attributes and characteristics of information. AI combination with IoT guarantees the inescapable advancement to expand the insight of the IoT gadgets and presentations. The introduction of distinctive brilliant IoT presentations through AI assist in perception, methodical investigation, handling and brilliant utilizations of the huge volume of information in various fields. Numerous enterprises are utilizing the AI and all the more explicitly, Machine learning (ML) as a Services to abuse IoT's latent capacity. This current article comprises of AI essential presentation, AI calculations, surveys of various specialist's investigation, different sensor gadgets and the different utilizations of AI calculations through IoT. Also, the end area of the article comprises of dialog and end
A Study on Artificial Intelligence Technologies and its Applications
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020
Artificial Intelligence (AI) helps computers to learn from experience, adjust to new stimuli, and perform tasks of a human nature. It works by combining large amounts of data with fast, iterative processing and smart algorithms, allowing the program to learn from patterns or features in the data automatically. We address AI and various subfields of AI in article. In this paper, we are studying the types, applications, tools. In addition, few examples of existing Internet of Things services with AI working behind them are discussed in this context.
study of the progress, challenges, and opportunities in artificial intelligence of things (AIoT)
International journal of health sciences
Internet of Things (IoT) sensors and gadgets collect and interpret environmental data, transfer them to cloud centers, and receive feedback via the Internet for connectivity and perception in the IoT age. Transmitting enormous amounts of heterogeneous data, interpreting the resulting complicated surroundings, and then making timely, informed decisions are all difficult tasks. Several applications of artificial intelligence (AI), particularly deep learning, have recently been demonstrated to be a success. The introduction of AI into the Internet of Things (IoT) heralds a new era of artificial intelligence (AI) (AIoT). To demonstrate how artificial intelligence (AI) can empower the Internet of Things (IoT) to make it more efficient, smarter, greener, and safer, this article gives a complete assessment on AIoT. An AIoT architecture is briefly described in terms of cloud, fog and edge technologies. There is progress in AI research for IoT advancements from four perspectives: 1) perceivi...