Deep learning application on code clone detection: A review of current knowledge
Bad smells in code are indications of low code quality representing potential threats to the
maintainability and reusability of software. Code clone is a type of bad smells caused by …
maintainability and reusability of software. Code clone is a type of bad smells caused by …
Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning
R Desislavov, F Martínez-Plumed… - … Informatics and Systems, 2023 - Elsevier
The progress of some AI paradigms such as deep learning is said to be linked to an
exponential growth in the number of parameters. There are many studies corroborating …
exponential growth in the number of parameters. There are many studies corroborating …
Compute and energy consumption trends in deep learning inference
R Desislavov, F Martínez-Plumed… - arxiv preprint arxiv …, 2021 - arxiv.org
The progress of some AI paradigms such as deep learning is said to be linked to an
exponential growth in the number of parameters. There are many studies corroborating …
exponential growth in the number of parameters. There are many studies corroborating …
Musical instrument identification using deep learning approach
M Blaszke, B Kostek - Sensors, 2022 - mdpi.com
The work aims to propose a novel approach for automatically identifying all instruments
present in an audio excerpt using sets of individual convolutional neural networks (CNNs) …
present in an audio excerpt using sets of individual convolutional neural networks (CNNs) …
The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation
Smart manufacturing (SM) processes exhibit rapidly increasing complexity, nonlinear
patterns in hyperdimensional spaces, high volumes of data, transient sources of variations …
patterns in hyperdimensional spaces, high volumes of data, transient sources of variations …
Deep-learning-based high-resolution recognition of fractional-spatial-mode-encoded data for free-space optical communications
Structured light with spatial degrees of freedom (DoF) is considered a potential solution to
address the unprecedented demand for data traffic, but there is a limit to effectively …
address the unprecedented demand for data traffic, but there is a limit to effectively …
[PDF][PDF] Handwriting recognition using artificial intelligence neural network and image processing
S Aqab, MU Tariq - International Journal of Advanced …, 2020 - pdfs.semanticscholar.org
Due to increased usage of digital technologies in all sectors and in almost all day to day
activities to store and pass information, Handwriting character recognition has become a …
activities to store and pass information, Handwriting character recognition has become a …
[BUCH][B] Using historical maps in scientific studies: Applications, challenges, and best practices
This book illustrates the first connection between the map user community and the
developers of digital map processing technologies by providing several applications …
developers of digital map processing technologies by providing several applications …
Mispronunciation detection and diagnosis with articulatory-level feedback generation for non-native arabic speech
M Algabri, H Mathkour, M Alsulaiman, MA Bencherif - Mathematics, 2022 - mdpi.com
A high-performance versatile computer-assisted pronunciation training (CAPT) system that
provides the learner immediate feedback as to whether their pronunciation is correct is very …
provides the learner immediate feedback as to whether their pronunciation is correct is very …
COVID-19 classification in X-ray chest images using a new convolutional neural network: CNN-COVID
PM De Sousa, PC Carneiro, MM Oliveira… - Research on Biomedical …, 2021 - Springer
Purpose COVID-19 causes lung inflammation and lesions, and chest X-ray and computed
tomography images are remarkably suitable for differentiating the new disease from patients …
tomography images are remarkably suitable for differentiating the new disease from patients …