Cost performance assessments in grinding focus on analyzing the economic efficiency of the process. Factors such as tool wear, productivity, labor costs, and maintenance expenses are considered to evaluate the overall cost-effectiveness of grinding operations [30]. Sustainable grinding practices aim to ...
ethanol and butanol [19,59]. To enable the commercialization of bioprocess for the production of bulk chemicals like solvents, an estimated product titer of 50 g L−1, the productivity of 3 g L−1h−1and yield not
(2018) found that accurately quantifying and predicting embodied carbon emissions (ECEs) during the schematic design phase is an effective strategy for mitigating and reducing ECEs directly from their origin [35], [55]. This study is based on the application of the BIM tool, REVIT 2021, to ...
These technological advancements along with augmented reality (AR) and virtual reality (VR) can offer the unique benefit of real-time monitoring of the current status as well as predicting the future of any physical structure at any level of work. The global demand and usage of these ...
Prompt example #2:Kindly write a Linkedin post where you make a case for why technology is at its best when it's invisible. *** Prompt example #3:Please write five titles about the lack of skin in the game in Pascal's wager.
Free-living nitrogen fixation (FNF) is a ubiquitous phenomenon that plays a modest role in the (N) economy of an ecosystem. However, sampling difficulties, methodological constraints and environmental controls have presented challenges for predicting the
In the face of climate change, the life history traits of large terrestrial mammals will prevent them from adapting genetically at a sufficient pace to keep track with changing environments, and habitat fragmentation will preclude them from shifting their distribution range. Predicting how habitat-bound...
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study 2021, Medical Image Analysis Show abstract Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem 2021, Medi...
This approach is semi-quantitative, as other factors such as climate change will need to be considered for estimating and predicting risks with new aquatic innovations. Nair and Domnic (2022) noted the influence of machine leaning in advancing many aspects of this industry’; specifically, these ...
Numerous studies show that biometric measurements are highly relevant for predicting the body weight of sheep, and many of them use different techniques such as Multiple Linear Regression (MLR), which is very simple and the most used, and in recent years, machine learning techniques. Nevertheless,...