Pervasive AI for IoT applications: A survey on resource-efficient distributed artificial intelligence
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of
Things (IoT) applications and services, spanning from recommendation systems and speech …
Things (IoT) applications and services, spanning from recommendation systems and speech …
Review of several key processes in wind power forecasting: Mathematical formulations, scientific problems, and logical relations
M Yang, Y Huang, C Xu, C Liu, B Dai - Applied Energy, 2025 - Elsevier
Wind power forecasting (WPF) is the crucial technology for power system operation with
large-scale grid-connected wind farms. A large number of related studies have emerged …
large-scale grid-connected wind farms. A large number of related studies have emerged …
[HTML][HTML] Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process
V Pandiyan, R Drissi-Daoudi, S Shevchik… - Journal of Materials …, 2022 - Elsevier
The defective regimes in metal-based Laser Powder Bed Fusion (LPBF) processes can be
minimized by deploying in-situ monitoring strategies comprising Machine learning (ML) …
minimized by deploying in-situ monitoring strategies comprising Machine learning (ML) …
Artificial intelligence-based drone system for multiclass plant disease detection using an improved efficient convolutional neural network
The role of agricultural development is very important in the economy of a country. However,
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …
A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI
A Bahrami, A Karimian, E Fatemizadeh… - Medical …, 2020 - Wiley Online Library
Purpose Despite the proven utility of multiparametric magnetic resonance imaging (MRI) in
radiation therapy, MRI‐guided radiation treatment planning is limited by the fact that MRI …
radiation therapy, MRI‐guided radiation treatment planning is limited by the fact that MRI …
Intelligent identification of early esophageal cancer by band-selective hyperspectral imaging
TJ Tsai, A Mukundan, YS Chi, YM Tsao, YK Wang… - Cancers, 2022 - mdpi.com
Simple Summary Early esophageal cancer detection is crucial for patient survival; however,
even skilled endoscopists find it challenging to identify the cancer cells in the early stages. In …
even skilled endoscopists find it challenging to identify the cancer cells in the early stages. In …
Shallow convolutional neural network for COVID-19 outbreak screening using chest X-rays
H Mukherjee, S Ghosh, A Dhar, SM Obaidullah… - Cognitive …, 2021 - Springer
Among radiological imaging data, Chest X-rays (CXRs) are of great use in observing COVID-
19 manifestations. For mass screening, using CXRs, a computationally efficient AI-driven …
19 manifestations. For mass screening, using CXRs, a computationally efficient AI-driven …
Image captioning by diffusion models: a survey
F Daneshfar, A Bartani, P Lotfi - Engineering Applications of Artificial …, 2024 - Elsevier
Diffusion models are increasingly favored over traditional approaches like generative
adversarial networks (GANs) and auto-regressive transformers due to their remarkable …
adversarial networks (GANs) and auto-regressive transformers due to their remarkable …
An improved residual-based convolutional neural network for very short-term wind power forecasting
An accurate forecast of wind power is very important in terms of economic dispatch and the
operation of power systems. However, effectively mitigating the risks arising from wind …
operation of power systems. However, effectively mitigating the risks arising from wind …
Two-step CNN framework for text line recognition in camera-captured images
YS Chernyshova, AV Sheshkus, VV Arlazarov - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we introduce an “on the device” text line recognition framework that is
designed for mobile or embedded systems. We consider per-character segmentation as a …
designed for mobile or embedded systems. We consider per-character segmentation as a …