Harnessing the power of transfer learning in sunflower disease detection: A comparative study
Sunflower is an important crop that is susceptible to various diseases, which can
significantly impact crop yield and quality. Early and accurate detection of these diseases is …
significantly impact crop yield and quality. Early and accurate detection of these diseases is …
A hybrid multilinear-linear subspace learning approach for enhanced person re-identification in camera networks
Several tasks in surveillance systems depend on camera networks, one of them is Person re-
identification (PRe-ID) which has wide interest as a research topic in the computer vision …
identification (PRe-ID) which has wide interest as a research topic in the computer vision …
NMR log response prediction from conventional petrophysical logs with XGBoost-PSO framework
A combined approach that exploits both the eXtreme Gradient Boosting (XGBoost) method
and the Particle Swarm Optimization (PSO) method was used here to predict the nuclear …
and the Particle Swarm Optimization (PSO) method was used here to predict the nuclear …
Passive over active: How low-cost strategies influence urban energy equity
This study delves into the energy burden on households, a crucial aspect of energy justice,
influenced by urban environment factors and buildings' passive and active designs. It …
influenced by urban environment factors and buildings' passive and active designs. It …
Understanding and predicting micro-characteristics of ultra-high performance concrete (UHPC) with green porous lightweight aggregates: Insights from machine …
L Zhang, W Xu, D Fan, E Dong, K Liu, L Xu… - Construction and Building …, 2024 - Elsevier
Ultra-high performance concrete (UHPC) is an advanced material in construction. Porous
lightweight aggregates (PLWA) could reduce the self-shrinkage risk of UHPC by maintaining …
lightweight aggregates (PLWA) could reduce the self-shrinkage risk of UHPC by maintaining …
Mapping the impacts of multiple stressors on the decline in kelps along the coast of Victoria, Australia
Aim Kelp forests throughout temperate regions of the world serve as foundation species that
play a critical role in sustaining the health and function of marine ecosystems but are …
play a critical role in sustaining the health and function of marine ecosystems but are …
Machine learning approach for predictive maintenance of the electrical submersible pumps (ESPS)
Electrical submersible pumps (ESPs) are considered the second-most widely used artificial
lift method in the petroleum industry. As with any pumping artificial lift method, ESPs exhibit …
lift method in the petroleum industry. As with any pumping artificial lift method, ESPs exhibit …
[HTML][HTML] Advanced industrial fault detection: A comparative analysis of ultrasonic signal processing and ensemble machine learning techniques
A Moshrefi, F Nabki - Applied Sciences, 2024 - mdpi.com
Modern condition monitoring and industrial fault prediction have advanced to include
intelligent techniques, aiming to improve reliability, productivity, and safety. The integration …
intelligent techniques, aiming to improve reliability, productivity, and safety. The integration …
[HTML][HTML] Software-defined-networking-based one-versus-rest strategy for detecting and mitigating distributed denial-of-service attacks in smart home internet of things …
N Karmous, MOE Aoueileyine, M Abdelkader… - Sensors, 2024 - mdpi.com
The number of connected devices or Internet of Things (IoT) devices has rapidly increased.
According to the latest available statistics, in 2023, there were approximately 17.2 billion …
According to the latest available statistics, in 2023, there were approximately 17.2 billion …
Aquarius sea surface salinity retrieval in coastal regions based on deep neural networks
L Zhang, Y Zhang, X Yin - Remote Sensing of Environment, 2023 - Elsevier
A sea surface salinity (SSS) retrieval model for coastal regions (0–200 km) is here proposed
using a deep neural network (DNN) which demonstrates the capability of the DNN model to …
using a deep neural network (DNN) which demonstrates the capability of the DNN model to …