Following students’ answers from the questionnaire, it is evident that ChatGPT has no problem solving tasks that can be easily algorithmized. Therefore, it is necessary to find a way to use this ability and not look at it as an obstacle. ChatGPT will become an integral part of a programm...
The K-Nearest Neighbors (KNN) algorithm is a simple and effective method for imputing missing data that has been widely used in various fields, including machine learning, pattern recognition, and data mining39,40,41. It works by identifying k observations with the shortest distances (usually ba...
Programming, especially during the software design stage and algorithm creation, requires a harmony of both—analytical prowess for structuring code and creativity for innovative solutions. Fields like graphic design and music predominantly cater to our right-brain, valuing imagination, creativity, and the...
(2023) to create a therapeutic deep-learning algorithm. Johnson et al. (2023) state that data-driven design will alter design processes. According to Iandoli (2023), it is essential to incorporate design thinking, customer discovery, and lean start-up into entrepreneurship education. Kirongo et...
CMS develops new AI algorithm to detect anomalies at the Large Hadron Collider How 'clean' does a quantum computing test facility need to be? Mar 11, 2010 #37 varga 64 0 SpectraCat said: If we ignore the radiation, and treat the system completely classically, then at the point to ...
Using these data, the top height H100 (which is defined as the average height of the 100 stems with the largest diameter at breast heights (DBHs) per hectare) was modeled for each plot using the algorithm described in [37]. Figure 3. Distribution of 184 selected inventory plots overlaid ...
The algorithm combines graph convolutional neural networks with self-attention mechanisms to effectively learn and analyze structural changes in the human body during walking, which can maximally mitigate the effects of lighting variations. Figure 3. Collected daytime and nighttime data with corresponding ...
The study found that PRESBYOND LBV resulted in better reading speeds and overall satisfactory functional visual outcomes. Ganesh et al. 2020 [4] provided a 1 year follow-up on patients treated with PRESBYOND for both myopic and hyperopic conditions. They noted high satisfaction rates for both ...
works have relied on the OpenPose framework [28], a system that applies a CNN-based model to recognize the joints. In [29], this framework was applied to create a coaching system for yoga. OpenPose does not need training or fine-tuning, so the authors added a correction algorithm module,...
The UKF method, proposed by [79], is an extension model of the Kalman filter (KF) and a typical nonlinear filter algorithm. The UKF has been widely used in unilinear control systems, especially in the field of target tracking [80,81,82]. Similar to the KF method, the UKF requires a...