Enhancing pavement maintenance: A deep learning model for accurate prediction and early detection of pavement structural damage
Pavement distress, which is exacerbated by structural damage, results in massive carbon-
intensity for routine maintenance and transportation safety issues. One promising approach …
intensity for routine maintenance and transportation safety issues. One promising approach …
An improved human activity recognition technique based on convolutional neural network
R Raj, A Kos - Scientific Reports, 2023 - nature.com
A convolutional neural network (CNN) is an important and widely utilized part of the artificial
neural network (ANN) for computer vision, mostly used in the pattern recognition system …
neural network (ANN) for computer vision, mostly used in the pattern recognition system …
A novel hybrid meta-learning for few-shot gas-insulated switchgear insulation defect diagnosis
Though deep learning-based diagnosis methods have been extensively researched in gas-
insulated switchgear (GIS) insulation defects diagnosis. Training a high-precision and robust …
insulated switchgear (GIS) insulation defects diagnosis. Training a high-precision and robust …
A new cloud-based IoT solution for soiling ratio measurement of PV systems using artificial neural network
Solar energy is considered the most abundant form of energy available on earth. However,
the efficiency of photovoltaic (PV) panels is greatly reduced due to the accumulation of dust …
the efficiency of photovoltaic (PV) panels is greatly reduced due to the accumulation of dust …
Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques
Background: Ventilator-associated pneumonia (VAP) in traumatic brain injury (TBI) patients
poses a significant mortality risk and imposes a considerable financial burden on patients …
poses a significant mortality risk and imposes a considerable financial burden on patients …
Pairwise difference relational distillation for object re-identification
Most relationship knowledge distillation methods individually optimize pairwise similarities
to improve the accuracy performance of a lightweight student network. However, this …
to improve the accuracy performance of a lightweight student network. However, this …
Anthropogenic impacts on urban blue space and its reciprocal effect on human and socio-ecological health
S Ghosh, S Pal - Journal of Environmental Management, 2024 - Elsevier
Quantifying anthropogenic impacts on blue space (BS) and its effect on human and socio-
ecological health was least explored. The present study aimed to do this in reference to the …
ecological health was least explored. The present study aimed to do this in reference to the …
Application of a parallel physics-informed neural network to solve the multi-body dynamic equations for full-scale train collisions
Z Tang, S Dong, X Yang, J Zhang - Applied Soft Computing, 2023 - Elsevier
The prohibitive cost of acquiring data from full-scale train collision experiments limits the
applicability of data-driven machine learning methods in train collision simulation. Physics …
applicability of data-driven machine learning methods in train collision simulation. Physics …
[HTML][HTML] Deep Learning-Assisted Compound Bioactivity Estimation Framework
Drug Discovery is a highly complicated process. On average, it takes six to twelve years to
manufacture a new drug and have the product released in the market. It is of utmost …
manufacture a new drug and have the product released in the market. It is of utmost …
Cervical vertebral maturation assessment using an innovative artificial intelligence-based imaging analysis system
Abstract The Cervical Vertebral Maturation (CVM) assessment plays a pivotal role in
orthodontic diagnosis and treatment planning by providing insights into skeletal growth and …
orthodontic diagnosis and treatment planning by providing insights into skeletal growth and …