Sensors, features, and machine learning for oil spill detection and monitoring: A review
Remote sensing technologies and machine learning (ML) algorithms play an increasingly
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …
important role in accurate detection and monitoring of oil spill slicks, assisting scientists in …
Klasifikasi Citra Jenis Daun Berkhasiat Obat Menggunakan Algoritma Jaringan Syaraf Tiruan Extreme Learning Machine
Abstrak− Daun adalah salah satu bagian tumbuhan yang mempunyai manfaat bagi
manusia khususnya untuk kesehatan tubuh. Daun dapat digunakan sebagai obat herbal …
manusia khususnya untuk kesehatan tubuh. Daun dapat digunakan sebagai obat herbal …
Oil spill monitoring of shipborne radar image features using SVM and local adaptive threshold
J Xu, H Wang, C Cui, B Zhao, B Li - Algorithms, 2020 - mdpi.com
In the case of marine accidents, monitoring marine oil spills can provide an important basis
for identifying liabilities and assessing the damage. Shipborne radar can ensure large-scale …
for identifying liabilities and assessing the damage. Shipborne radar can ensure large-scale …
Analysis of focussed under-sampling techniques with machine learning classifiers
A Bansal, A Jain - … IEEE/ACIS 19th International Conference on …, 2021 - ieeexplore.ieee.org
Class Imbalance Problem is the major issue in machine intelligence producing biased
classifiers that work well for the majority class but have a relatively poor performance for the …
classifiers that work well for the majority class but have a relatively poor performance for the …
An sand plug of fracturing intelligent early warning model embedded in remote monitoring system
H Liang, J Zou, MJ Khan, H Jinxuan - IEEE Access, 2019 - ieeexplore.ieee.org
In recent years, data mining technology has been widely used in different fields. For
petroleum industry, the application of data mining method not only can analyze the data …
petroleum industry, the application of data mining method not only can analyze the data …
Analysis of smote: Modified for diverse imbalanced datasets under the IoT environment
The tremendous amount of data generated through IoT can be imbalanced causing class
imbalance problem (CIP). CIP is one of the major issues in machine learning where most of …
imbalance problem (CIP). CIP is one of the major issues in machine learning where most of …
A Gamma-Log net for oil spill detection in inhomogeneous SAR images
Due to the complexity of ocean environments, inhomogeneous phenomenon always exist in
SAR images of oil spills on the sea surface. In order to address this issue, a universal …
SAR images of oil spills on the sea surface. In order to address this issue, a universal …
Classification of Character Types of Wayang Kulit Using Extreme Learning Machine Algorithm
Wayang Kulit, which is an original Indonesian culture, is conditioned by the meaning of life
in every performance. However, Wayang Kulit is currently less popular among young people …
in every performance. However, Wayang Kulit is currently less popular among young people …
Design of Autonomous Marine Fauna Deterring Device Employed during an Oil Spill
A Patel, SH Choudhary, P Khakse, J Das… - 2022 10th RSI …, 2022 - ieeexplore.ieee.org
Oil Spill is the release of Liquid petroleum hydrocarbon into the marine environment, usually
in big water bodies such as seas, oceans and rivers. It's caused mainly by human error and …
in big water bodies such as seas, oceans and rivers. It's caused mainly by human error and …