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<title>Short Survey</title>
<link>https://dspace.library.iitb.ac.in/jspui/handle/100/36662</link>
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<pubDate>Mon, 16 Mar 2026 02:48:43 GMT</pubDate>
<dc:date>2026-03-16T02:48:43Z</dc:date>
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<title>Circular economy meets the drawdown economy: Enhanced weathering of industrial solid waste as a win-win solution</title>
<link>https://dspace.library.iitb.ac.in/jspui/handle/100/43724</link>
<description>Circular economy meets the drawdown economy: Enhanced weathering of industrial solid waste as a win-win solution
TAN R.R.; AVISO K.B.; BANDYOPADHYAY S.; FOO D.C.Y.; KLEMEŠ J.J.
[no abstract available]
</description>
<pubDate>Sat, 01 Jan 2022 00:00:00 GMT</pubDate>
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<dc:date>2022-01-01T00:00:00Z</dc:date>
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<item>
<title>Discussion on ‘Challenges, opportunities, and innovations for effective solid waste management during and post COVID-19 pandemic, by Sharma et al. (2020)’</title>
<link>https://dspace.library.iitb.ac.in/jspui/handle/100/43723</link>
<description>Discussion on ‘Challenges, opportunities, and innovations for effective solid waste management during and post COVID-19 pandemic, by Sharma et al. (2020)’
MOHAMMAD A.; GOLI V.S.N.S.; SINGH D.N.
[no abstract available]
</description>
<pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
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<dc:date>2021-01-01T00:00:00Z</dc:date>
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<item>
<title>The Redesign Decision-Making Cycle: A perspective on predicting prosumer household 3D printer waste</title>
<link>https://dspace.library.iitb.ac.in/jspui/handle/100/43721</link>
<description>The Redesign Decision-Making Cycle: A perspective on predicting prosumer household 3D printer waste
JAAFARNIA M.; SHENDE A.; BOROOMAND S.
3d printer manufacturers have been focussing on maintaining their market position considering the ever-changing demands for new product designs. The recent boom in the household 3d-printer market raises the question of whether it is a good idea to produce large numbers of household 3d-printers, considering that the satisfaction with the visuals printed by 3d-printers will not remain stable. Changing desires leads prosumers to revise their printed forms, frequently making another design to overcome dissatisfaction. Quick disposal of these successive printed forms creates a significant amount of waste. It was hypothesised that it is not possible to meet the sustainable waste management goals with the increase in household-level 3d-printers. Therefore, the use of 3d-printers is likely to be unsustainable because of this expected substantial increase in waste. This study conducted a literature review to provide a perspective on this phenomenon. The novel contribution of this perspective will help estimate the amount of waste generated. It was concluded that 3d-printers, although help in meeting the everyday desires of prosumers, do not meet the requirements of a sustainable society. © 2021 institution of chemical engineers
</description>
<pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
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<dc:date>2021-01-01T00:00:00Z</dc:date>
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<title>Surgical instrument detection and tracking technologies: Automating dataset labeling for surgical skill assessment</title>
<link>https://dspace.library.iitb.ac.in/jspui/handle/100/43720</link>
<description>Surgical instrument detection and tracking technologies: Automating dataset labeling for surgical skill assessment
NEMA S.; VACHHANI L.
Surgical skills can be improved by continuous surgical training and feedback, thus reducing adverse outcomes while performing an intervention. With the advent of new technologies, researchers now have the tools to analyze surgical instrument motion to differentiate surgeons’ levels of technical skill. Surgical skills assessment is time-consuming and prone to subjective interpretation. The surgical instrument detection and tracking algorithm analyzes the image captured by the surgical robotic endoscope and extracts the movement and orientation information of a surgical instrument to provide surgical navigation. This information can be used to label raw surgical video datasets that are used to form an action space for surgical skill analysis. Instrument detection and tracking is a challenging problem in mis, including robot-assisted surgeries, but vision-based approaches provide promising solutions with minimal hardware integration requirements. This study offers an overview of the developments of assessment systems for surgical intervention analysis. The purpose of this study is to identify the research gap and make a leap in developing technology to automate the incorporation of new surgical skills. A prime factor in automating the learning is to create datasets with minimal manual intervention from raw surgical videos. This review encapsulates the current trends in artificial intelligence (ai) based visual detection and tracking technologies for surgical instruments and their application for surgical skill assessment. Copyright © 2022 nema and vachhani.
</description>
<pubDate>Sat, 01 Jan 2022 00:00:00 GMT</pubDate>
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<dc:date>2022-01-01T00:00:00Z</dc:date>
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