AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems

Abstract

Artificial Intelligence (AI) is a leading technology of the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and intelligence into machines or systems. Thus AI-based modeling is the key to building automated, intelligent, and smart systems according to today's needs. To solve real-world issues various types of AI such as analytical, functional, interactive, textual, and visual AI can be applied to enhance the intelligence and capabilities of an application. However, developing an effective AI model is a challenging task due to the dynamic nature and variation in real-world problems and data. In this paper, we present a comprehensive view on "AI-based Modeling" with the principles and capabilities of potential AI techniques that can play an important role in developing intelligent and smart systems in various real-world application areas including business, finance, healthcare, agriculture, smart cities, cybersecurity and many more. We also emphasize and highlight the research issues within the scope of our study. Overall, the goal of this paper is to provide a broad overview of AI-based modeling that can be used as a reference guide by academics and industry people as well as decision-makers in various real-world scenarios and application domains.

Perceived Benefits And Concerns Of AI Integration In Higher Education: Insights From India

“…Only a few research papers clearly explain what AI is or talk about its ethical concerns and risks. Researchers also have to deal with problems like privacy, high costs, and not knowing enough about AI (Sarker, 2022). To solve these problems, researchers need to pick the right AI techniques for their research.…”

“…In the end, AI has the potential to change research a lot, but it's up to researchers to use it wisely. Building smart AI systems, making sure they're safe and ethical, and working together with AI will be important for making the most of AI in research (Sarker, 2022). First off, this input data are essential to the security of the machine learning system as the training data heavily influences the system's performance.…”

Productivity of incident management with conversational bots-a review

“…This arises for the diagnosis of a checklist (BOT-Check), a 15-item questionnaire (BOT Usability Scale, BUS-15) with estimated reliability between 0.76 and 0.87 distributed over five factors; however, the latter requires further validation testing. Likewise, in the AI categories, in [21] reference is made to interactive AI, which enables efficient and interactive communication automation, which is oriented to the commercial sphere. Also, techniques such as machine learning, frequent pattern mining, reasoning, and heuristic AI search is used for its development.…”

“…: Table 9 shows the processes that the chatbots optimize: according to [24], [27], [42] bots are employed in bot training processes to feed its knowledge base; on the other hand, in [23], [43]- [45], [50], [51], [56], [62], [66]. The use of conversational bots was found to be part of the teaching process [21], [22], [25], [26], [29]- [31], [40], [41], [53], [64], it was realized that healthcare processes have been altered and have incorporated the use of chatbot technology with patients and professionals. Similarly, according to, [39], [46], [61] there is a segment of users who use these bots in Processes for personal assistance for various reasons.…”

A Fuzzy Logic-Based Automobile Fault Detection System Using Mamdani Algorithm

“…In recent times, the broad application of fuzzy logic and Artificial Intelligence (AI) techniques has brought about a significant transformation in numerous industries, displacing conventional methods. These intelligent approaches are integrated to address intricate and challenging issues [2]. Fuzzy logic has garnered substantial interest, particularly for creating intelligent systems in auto defect detection, aiming to enhance vehicle performance, safety, and maintenance.…”