Deep learning system for paddy plant disease detection and classification
Automatic detection and analysis of rice crop diseases is widely required in the farming
industry, which can be utilized to avoid squandering financial and other resources, reduce …
industry, which can be utilized to avoid squandering financial and other resources, reduce …
Multi-objective robust optimization for enhanced safety in large-diameter tunnel construction with interactive and explainable AI
Robust optimization is an ideal solution for enhancing safety in tunnel construction in the
presence of unpredictable soil conditions, especially in large-diameter tunnel construction …
presence of unpredictable soil conditions, especially in large-diameter tunnel construction …
Trends and applications of machine learning in quantitative finance
S Emerson, R Kennedy, L O'Shea… - … conference on economics …, 2019 - papers.ssrn.com
Recent advances in machine learning are finding commercial applications across many
industries, not least the finance industry. This paper focuses on applications in one of the …
industries, not least the finance industry. This paper focuses on applications in one of the …
Probabilistic safety risk assessment in large-diameter tunnel construction using an interactive and explainable tree-based pipeline optimization method
Due to knowledge alienation, the application of artificial intelligence (AI) techniques in
tunnel construction has been greatly stunted in recent years. In order to motivate the …
tunnel construction has been greatly stunted in recent years. In order to motivate the …
Empirical study on multiclass classification‐based network intrusion detection
Early and effective network intrusion detection is deemed to be a critical basis for
cybersecurity domain. In the past decade, although a significant amount of work has focused …
cybersecurity domain. In the past decade, although a significant amount of work has focused …
Prediction of emergency department revisits using area-level social determinants of health measures and health information exchange information
JR Vest, O Ben-Assuli - International journal of medical informatics, 2019 - Elsevier
Introduction Interoperable health information technologies, like electronic health records
(EHR) and health information exchange (HIE), provide greater access to patient information …
(EHR) and health information exchange (HIE), provide greater access to patient information …
Detection of faults in electrical power grids using an enhanced anomaly-based method
The increasing demand on electrical power consumption all over the world makes the need
of stable and reliable electrical power grids is indispensable. However, one of hostile …
of stable and reliable electrical power grids is indispensable. However, one of hostile …
An anomaly-based technique for fault detection in power system networks
In recent years, fault detection in electrical power systems has attracted substantial attention
from both research communities and industry. Although many fault detection methods and …
from both research communities and industry. Although many fault detection methods and …
Enhanced Anomaly‐Based Fault Detection System in Electrical Power Grids
Early and accurate fault detection in electrical power grids is a very essential research area
because of its positive influence on network stability and customer satisfaction. Although …
because of its positive influence on network stability and customer satisfaction. Although …
A generalized flow for B2B sales predictive modeling: An azure machine-learning approach
A Rezazadeh - Forecasting, 2020 - mdpi.com
Predicting the outcome of sales opportunities is a core part of successful business
management. Conventionally, undertaking this prediction has relied mostly on subjective …
management. Conventionally, undertaking this prediction has relied mostly on subjective …