Kamran Esmaeili

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Applying Knowledge-Based and Data-Driven Methods to Improve Ore Grade Control of Blast Hole Drill Cuttings Using Hyperspectral Imaging.
Remote. Sens.
Somaieh Akbar, Mehdi Abdolmaleki, Saleh Ghadernejad, Kamran Esmaeili
2024 J jnl
Predicting Rock Hardness and Abrasivity Using Hyperspectral Imaging Data and Random Forest Regressor Model.
Remote. Sens.
Saleh Ghadernejad, Kamran Esmaeili
2023 J jnl
Mine Pit Wall Geological Mapping Using UAV-Based RGB Imaging and Unsupervised Learning.
Remote. Sens.
Peng Yang, Kamran Esmaeili, Sebastian Goodfellow, Juan Carlos Ordóñez Calderón
2022 J jnl
Electrical Discharges in Oil-Lubricated Rolling Contacts and Their Detection Using Electrostatic Sensing Technique.
Sensors
Kamran Esmaeili, Ling Wang, Terry J. Harvey, Neil M. White, Walter Holweger
2022 J jnl
Ore-Waste Discrimination Using Supervised and Unsupervised Classification of Hyperspectral Images.
Remote. Sens.
Mehdi Abdolmaleki, Mariano P. Consens, Kamran Esmaeili
2021 J jnl
Heap Leach Pad Surface Moisture Monitoring Using Drone-Based Aerial Images and Convolutional Neural Networks: A Case Study at the El Gallo Mine, Mexico.
Remote. Sens.
Mingliang Tang, Kamran Esmaeili
2020 J jnl
Continuous Monitoring and Improvement of the Blasting Process in Open Pit Mines Using Unmanned Aerial Vehicle Techniques.
Remote. Sens.
Thomas Bamford, Filip Medinac, Kamran Esmaeili
2020 J jnl
High-Temperature Self-Powered Sensing System for a Smart Bearing in an Aircraft Jet Engine.
IEEE Trans. Instrum. Meas.
Bahareh Zaghari, Alex S. Weddell, Kamran Esmaeili, Imran Bashir, Terry J. Harvey, Neil M. White, Patrick Mirring, Ling Wang
2017 J jnl
Aerial Rock Fragmentation Analysis in Low-Light Condition Using UAV Technology.
CoRR
Thomas Bamford, Kamran Esmaeili, Angela P. Schoellig
2017 J jnl
Point-Cloud-Based Aerial Fragmentation Analysis for Application in the Minerals Industry.
CoRR
Thomas Bamford, Kamran Esmaeili, Angela P. Schoellig
2016 J jnl
A real-time analysis of rock fragmentation using UAV technology.
CoRR
Thomas Bamford, Kamran Esmaeili, Angela P. Schoellig
redb/extractors/js_extractors/__init__.py
← Index redb/extractors/js_extractors/__init__.py python 
# JavaScript extractors package

from .js_features import JSFeaturesExtractor
from .js_suspicious_apis import JSSuspiciousAPIsExtractor
from .js_strings import JSStringsExtractor
from .js_deobfuscation import JSDeobfuscationExtractor
from .js_content import JSContentExtractor

__all__ = [
    'JSFeaturesExtractor',
    'JSSuspiciousAPIsExtractor',
    'JSStringsExtractor',
    'JSDeobfuscationExtractor',
    'JSContentExtractor',
]