[HTML][HTML] Opinion Paper:“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for …
Transformative artificially intelligent tools, such as ChatGPT, designed to generate
sophisticated text indistinguishable from that produced by a human, are applicable across a …
sophisticated text indistinguishable from that produced by a human, are applicable across a …
Opinion Paper:“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research …
Transformative artificially intelligent tools, such as ChatGPT, designed to generate
sophisticated text indistinguishable from that produced by a human, are applicable across a …
sophisticated text indistinguishable from that produced by a human, are applicable across a …
How can artificial intelligence impact sustainability: A systematic literature review
AK Kar, SK Choudhary, VK Singh - Journal of Cleaner Production, 2022 - Elsevier
We need a proper mechanism to manage issues related to our environment, economy, and
society to proceed toward sustainability. Many researchers have worked for sustainable …
society to proceed toward sustainability. Many researchers have worked for sustainable …
[HTML][HTML] Fake news detection: A hybrid CNN-RNN based deep learning approach
The explosion of social media allowed individuals to spread information without cost, with
little investigation and fewer filters than before. This amplified the old problem of fake news …
little investigation and fewer filters than before. This amplified the old problem of fake news …
Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems
The difficulty and complexity of the real-world numerical optimization problems has grown
manifold, which demands efficient optimization methods. To date, various metaheuristic …
manifold, which demands efficient optimization methods. To date, various metaheuristic …
[HTML][HTML] Time-series forecasting of seasonal items sales using machine learning–A comparative analysis
There has been a growing interest in the field of neural networks for prediction in recent
years. In this research, a public dataset including the sales history of a retail store is …
years. In this research, a public dataset including the sales history of a retail store is …
[HTML][HTML] Explainable AI for operational research: A defining framework, methods, applications, and a research agenda
The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …
aiding decision-making, has become a critical requirement for many applications. For …
Challenges in predictive maintenance–A review
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
As far back as the industrial revolution, significant development in technical innovation has
succeeded in transforming numerous manual tasks and processes that had been in …
succeeded in transforming numerous manual tasks and processes that had been in …
Unravelling the impact of generative artificial intelligence (GAI) in industrial applications: A review of scientific and grey literature
The scope of application of generative artificial intelligence (GAI) in industrial functions is
gaining high prominence in academic and industrial discourses. In this article, we explore …
gaining high prominence in academic and industrial discourses. In this article, we explore …