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of 33
pro vyhledávání: '"Raihan, Ahmed Shoyeb"'
Reducing Carbon dioxide (CO2) emission is vital at both global and national levels, given their significant role in exacerbating climate change. CO2 emission, stemming from a variety of industrial and economic activities, are major contributors to th
Externí odkaz:
http://arxiv.org/abs/2405.02340
Metal Additive Manufacturing (MAM) has reshaped the manufacturing industry, offering benefits like intricate design, minimal waste, rapid prototyping, material versatility, and customized solutions. However, its full industry adoption faces hurdles,
Externí odkaz:
http://arxiv.org/abs/2401.05579
Advancements in materials play a crucial role in technological progress. However, the process of discovering and developing materials with desired properties is often impeded by substantial experimental costs, extensive resource utilization, and leng
Externí odkaz:
http://arxiv.org/abs/2311.09591
Autor:
Khosravi, Hamed, Farhadpour, Sarah, Grandhi, Manikanta, Raihan, Ahmed Shoyeb, Das, Srinjoy, Ahmed, Imtiaz
A significant challenge for predictive maintenance in the pulp-and-paper industry is the infrequency of paper breaks during the production process. In this article, operational data is analyzed from a paper manufacturing machine in which paper breaks
Externí odkaz:
http://arxiv.org/abs/2311.09333
Manufacturing advanced materials and products with a specific property or combination of properties is often warranted. To achieve that it is crucial to find out the optimum recipe or processing conditions that can generate the ideal combination of t
Externí odkaz:
http://arxiv.org/abs/2304.09278
Autor:
Khosravi, Hamed, Shafie, Mohammad Reza, Hajiabadi, Morteza, Raihan, Ahmed Shoyeb, Ahmed, Imtiaz
This paper presents a bibliometric analysis of the scientific literature related to chatbots, focusing specifically on ChatGPT. Chatbots have gained increasing attention recently, with an annual growth rate of 19.16% and 27.19% on the Web of Sciences
Externí odkaz:
http://arxiv.org/abs/2304.05436
Autor:
Raihan, Ahmed Shoyeb, Ahmed, Imtiaz
Anomalies refer to data points or events that deviate from normal and homogeneous events, which can include fraudulent activities, network infiltrations, equipment malfunctions, process changes, or other significant but infrequent events. Prompt dete
Externí odkaz:
http://arxiv.org/abs/2303.09703
In manufacturing settings, data collection and analysis are often a time-consuming, challenging, and costly process. It also hinders the use of advanced machine learning and data-driven methods which require a substantial amount of offline training d
Externí odkaz:
http://arxiv.org/abs/2302.13514
Autor:
Raihan, Ahmed Shoyeb, Ahmed, Imtiaz
Autonomous Experimentation Platforms (AEPs) are advanced manufacturing platforms that, under intelligent control, can sequentially search the material design space (MDS) and identify parameters with the desired properties. At the heart of the intelli
Externí odkaz:
http://arxiv.org/abs/2302.13360
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