Automatic tuning of hyperparameters using Bayesian optimization
AH Victoria, G Maragatham - Evolving Systems, 2021 - Springer
Deep learning is a field in artificial intelligence that works well in computer vision, natural
language processing and audio recognition. Deep neural network architectures has number …
language processing and audio recognition. Deep neural network architectures has number …
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
A Hamza, M Attique Khan, SH Wang… - Frontiers in Public …, 2022 - frontiersin.org
The COVID-19 virus's rapid global spread has caused millions of illnesses and deaths. As a
result, it has disastrous consequences for people's lives, public health, and the global …
result, it has disastrous consequences for people's lives, public health, and the global …
[HTML][HTML] Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning
Satellite observations from instruments such as the TROPOspheric Monitoring Instrument
(TROPOMI) show significant potential for monitoring the spatiotemporal variability of NO 2 …
(TROPOMI) show significant potential for monitoring the spatiotemporal variability of NO 2 …
RAELLA: Reforming the arithmetic for efficient, low-resolution, and low-loss analog PIM: No retraining required!
Processing-In-Memory (PIM) accelerators have the potential to efficiently run Deep Neural
Network (DNN) inference by reducing costly data movement and by using resistive RAM …
Network (DNN) inference by reducing costly data movement and by using resistive RAM …
[HTML][HTML] Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis
Objective: Ovarian cancer is a significant health issue with lasting impacts on the community.
Despite recent advances in surgical, chemotherapeutic and radiotherapeutic interventions …
Despite recent advances in surgical, chemotherapeutic and radiotherapeutic interventions …
Leveraging Deep Learning to Strengthen the Cyber-Resilience of Renewable Energy Supply Chains: A Survey
MN Halgamuge - IEEE Communications Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Deep learning shows immense potential for strengthening the cyber-resilience of renewable
energy supply chains. However, research gaps in comprehensive benchmarks, real-world …
energy supply chains. However, research gaps in comprehensive benchmarks, real-world …
RUL prediction using a fusion of attention-based convolutional variational autoencoder and ensemble learning classifier
Predicting the remaining useful life (RUL) is a critical step before the decision-making
process and developing maintenance strategies. As a result, it is frequently impacted by …
process and developing maintenance strategies. As a result, it is frequently impacted by …
Gaussian process machine learning and Kriging for groundwater salinity interpolation
T Cui, D Pagendam, M Gilfedder - Environmental Modelling & Software, 2021 - Elsevier
Gaussian processes (GPs) provide statistically optimal predictions in the sense of
unbiasedness and maximal precision. Although the modern implementation of GPs as a …
unbiasedness and maximal precision. Although the modern implementation of GPs as a …
A hybrid extreme learning machine model with harris hawks optimisation algorithm: an optimised model for product demand forecasting applications
KD Chaudhuri, B Alkan - Applied Intelligence, 2022 - Springer
Accurate and real-time product demand forecasting is the need of the hour in the world of
supply chain management. Predicting future product demand from historical sales data is a …
supply chain management. Predicting future product demand from historical sales data is a …
GOI: A novel design for vehicle positioning and trajectory prediction under urban environments
In this paper, we propose a new paradigm of GPS and OBD Integration (GOI) based on GPS
receiver and on-board diagnostics (OBD) reader, which offers a feasible way for large-scale …
receiver and on-board diagnostics (OBD) reader, which offers a feasible way for large-scale …