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 …

Deep learning application on code clone detection: A review of current knowledge

M Lei, H Li, J Li, N Aundhkar, DK Kim - Journal of Systems and Software, 2022 - Elsevier
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 …

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) …

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 …

The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation

CA Escobar, D Macias-Arregoyta… - Quality …, 2024 - Taylor & Francis
Smart manufacturing (SM) processes exhibit rapidly increasing complexity, nonlinear
patterns in hyperdimensional spaces, high volumes of data, transient sources of variations …

Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning

GI Sayed, M Abd Elfattah, A Darwish… - … Science and Pollution …, 2024 - Springer
Resource recycling is considered necessary for sustainable development, especially in
smart cities where increased urbanization and the variety of waste generated require the …

[HTML][HTML] 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 …

Handwriting recognition using artificial intelligence neural network and image processing

S Aqab, MU Tariq - International Journal of Advanced …, 2020 - search.proquest.com
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 …

[CARTE][B] Using historical maps in scientific studies: Applications, challenges, and best practices

YY Chiang, W Duan, S Leyk, JH Uhl, CA Knoblock - 2019 - dl.acm.org
This book illustrates the first connection between the map user community and the
developers of digital map processing technologies by providing several applications …

Diagnosis of autism spectrum disorder using convolutional neural networks

A Hendr, U Ozgunalp, M Erbilek Kaya - Electronics, 2023 - mdpi.com
Autism spectrum disorder as a condition has posed significant early diagnosis challenges to
the medical and health community for a long time. The early diagnosis of ASD is crucial for …