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 ...
To enable economically viable production of solvents and biofuels such as ethanol and butanol, the high productivity of continuous bioprocesses is needed. While the first industrial-scale gas fermentation facility operates continuously, the acetone–butanol–ethanol (ABE) fermentation is traditionally ...
The short answer is “an illusion of ease.” Since we use natural language to write prompts, we don’t see it as a complex skill that requires practice. All you have to do is write instructions in plain English, right? Well, not exactly. Yes, when you talk to humans, you...
(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 ...
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,...