[HTML][HTML] Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence
The frequent outbreak of global infectious diseases has prompted the development of rapid
and effective diagnostic tools for the early screening of potential patients in point-of-care …
and effective diagnostic tools for the early screening of potential patients in point-of-care …
Digital twin: Enabling technologies, challenges and open research
Digital Twin technology is an emerging concept that has become the centre of attention for
industry and, in more recent years, academia. The advancements in industry 4.0 concepts …
industry and, in more recent years, academia. The advancements in industry 4.0 concepts …
[HTML][HTML] Machine learning and deep learning applications-a vision
The application of artificial intelligence is machine learning which is one of the current topics
in the computer field as well as for the new COVID-19 pandemic. Researchers have given a …
in the computer field as well as for the new COVID-19 pandemic. Researchers have given a …
Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control
S Kumar, T Gopi, N Harikeerthana, MK Gupta… - Journal of Intelligent …, 2023 - Springer
For several industries, the traditional manufacturing processes are time-consuming and
uneconomical due to the absence of the right tool to produce the products. In a couple of …
uneconomical due to the absence of the right tool to produce the products. In a couple of …
GTR-GA: Harnessing the power of graph-based neural networks and genetic algorithms for text augmentation
A Onan - Expert systems with applications, 2023 - Elsevier
Text augmentation is a popular technique in natural language processing (NLP) that has
been shown to improve the performance of various downstream tasks. The goal of text …
been shown to improve the performance of various downstream tasks. The goal of text …
Modified U-net architecture for segmentation of skin lesion
Dermoscopy images can be classified more accurately if skin lesions or nodules are
segmented. Because of their fuzzy borders, irregular boundaries, inter-and intra-class …
segmented. Because of their fuzzy borders, irregular boundaries, inter-and intra-class …
Machine learning-powered encrypted network traffic analysis: a comprehensive survey
Traffic analysis is the process of monitoring network activities, discovering specific patterns,
and gleaning valuable information from network traffic. It can be applied in various fields …
and gleaning valuable information from network traffic. It can be applied in various fields …
Machine learning applications in power system fault diagnosis: Research advancements and perspectives
Newer generation sources and loads are posing new challenges to the conventional power
system protection schemes. Adaptive and intelligent protection methodology, based on …
system protection schemes. Adaptive and intelligent protection methodology, based on …
[HTML][HTML] SRL-ACO: A text augmentation framework based on semantic role labeling and ant colony optimization
A Onan - Journal of King Saud University-Computer and …, 2023 - Elsevier
The process of creating high-quality labeled data is crucial for training machine-learning
models, but it can be a time-consuming and labor-intensive process. Moreover, manual …
models, but it can be a time-consuming and labor-intensive process. Moreover, manual …
A survey of complex-valued neural networks
Artificial neural networks (ANNs) based machine learning models and especially deep
learning models have been widely applied in computer vision, signal processing, wireless …
learning models have been widely applied in computer vision, signal processing, wireless …