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 …
[图书][B] Dimensionality reduction with unsupervised nearest neighbors
O Kramer - 2013 - Springer
The growing information infrastructure in a variety of disciplines involves an increasing
requirement for efficient data mining techniques. Fast dimensionality reduction methods are …
requirement for efficient data mining techniques. Fast dimensionality reduction methods are …
[HTML][HTML] Maize disease identification based on optimized support vector machine using deep feature of DenseNet201
In recent times, maize diseases have become widespread globally, adversely impacting
agricultural productivity and causing significant financial losses. Recognizing these …
agricultural productivity and causing significant financial losses. Recognizing these …
Co‐optimization of CO2‐EOR and storage processes in mature oil reservoirs
This paper presents an optimization methodology for CO2 enhanced oil recovery in partially
depleted reservoirs. A field‐scale compositional reservoir flow model was developed for …
depleted reservoirs. A field‐scale compositional reservoir flow model was developed for …
[HTML][HTML] Enhancing Land Cover/Land Use (LCLU) classification through a comparative analysis of hyperparameters optimization approaches for deep neural network …
Sustainable natural resources management relies on effective and timely assessment of
conservation and land management practices. Using satellite imagery for Earth observation …
conservation and land management practices. Using satellite imagery for Earth observation …
Bayesian optimization with support vector machine model for parkinson disease classification
Parkinson's disease (PD) has become widespread these days all over the world. PD affects
the nervous system of the human and also affects a lot of human body parts that are …
the nervous system of the human and also affects a lot of human body parts that are …
A reinforcement learning approach for waterflooding optimization in petroleum reservoirs
Waterflooding optimization in closed-loop management of the oil reservoirs is always
considered as a challenging issue due to the complicated and unpredicted dynamics of the …
considered as a challenging issue due to the complicated and unpredicted dynamics of the …
Novel performance metrics for robust multi-objective optimization algorithms
S Mirjalili, A Lewis - Swarm and Evolutionary Computation, 2015 - Elsevier
Performance metrics are essential for quantifying the performance of optimization algorithms
in the field of evolutionary multi-objective optimization. Such metrics allow researchers to …
in the field of evolutionary multi-objective optimization. Such metrics allow researchers to …
Insight into automatic image diagnosis of ear conditions based on optimized deep learning approach
Examining otoscopic images for ear diseases is necessary when the clinical diagnosis of
ear diseases extracted from the knowledge of otolaryngologists is limited. Improved …
ear diseases extracted from the knowledge of otolaryngologists is limited. Improved …
Development of an intelligent tool condition monitoring system to identify manufacturing tradeoffs and optimal machining conditions
Smart manufacturing has leveraged the evolution of a sensor-based and data-driven
platform to improve manufacturing outcomes. As a result of increased use of sensors and …
platform to improve manufacturing outcomes. As a result of increased use of sensors and …