This section showcases a thorough analysis of the research method and applied methodologies.
Utilized real data datasets
After thoroughly examining existing literature, it has been shown that most datasets appropriate for semantic segmentation…
Category: 7. Maths
-
An efficient lattice-based integrated revocable identity-based encryption
Büyüközkan, G. & Göçer, F. Digital supply chain: Literature review and a proposed framework for future research. Comput. Ind. 97, 157–177 (2018).
Google Scholar
Peng, J., Chen, L. &…
Continue Reading
-
Advanced internet of things enhanced activity recognition for disability people using deep learning model with nature-inspired optimization algorithms
This manuscript proposes an EARDP-DLMNOA model. The proposed model mainly relies on improving the activity recognition model using advanced optimization approaches. To accomplish that, the EARDP-DLMNOA model has data normalization, dimensionality…
Continue Reading
-
Evaluating masked self-supervised learning frameworks for 3D dental model segmentation tasks
Pre-training
Understanding the computational resources required in terms of memory and training time is essential to assess whether the potential benefits during the fine-tuning phase justify the additional effort. Table 1 presents the memory…
Continue Reading
-
A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning
The random forest feature selection
The random forest is characterized by aggregating votes from multiple decision trees based on the gini coefficient24. Beginning at the root node, each decision tree calculates the gini coefficient for the…
Continue Reading
-
Analysis of experiments with high frequency time series responses and the implications for power and sample size
This study presents a methodological framework for analyzing time series responses in case-control experiments, the methods is then illustrated using the ADHD-200 fMRI data. In neuroimaging studies, multivarate time series (e.g., fMRI) may be…
Continue Reading
-
Dynamic convolution models for cross-frontend keyword spotting
Experimental settings
We evaluate our method using Google’s Speech Commands Dataset40, which contains about 65K one-second-long utterance files of 30 different keywords from thousands of people. Following Google’s implementation, we seek to…
Continue Reading
-
Comprehensive Dataset for Event Classification Using Distributed Acoustic Sensing (DAS) Systems
The dataset is publicly available on Figshare20. The dataset predominantly includes events relevant to its location, capturing various activities commonly performed by students. These regular events encompass driving cars, running, walking on…
Continue Reading
-
A quantitative analysis of the use of anonymization in biomedical research
Topol, E. J. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books: New York, (2019).
The “All of Us” Research Program. N. Engl. J. Med. 381, 668–676…
Continue Reading
-
Menstrual cycle inspired latent diffusion model for image augmentation in energy production
The methodology of this study involves developing and applying the menstrual cycle-inspired latent diffusion model (MCI-LDM) to enhance image augmentation in energy-related applications. The process begins with utilizing several energy datasets,…
Continue Reading