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ella » bella (Expand Search), plla (Expand Search), elsa (Expand Search)
elms » llms (Expand Search), elm (Expand Search), ems (Expand Search)
della » delta (Expand Search), dell (Expand Search), dbella (Expand Search), dplla (Expand Search), delsa (Expand Search)
mdell » modell (Expand Search), dell (Expand Search), adell (Expand Search)
mbella » bella (Expand Search), abella (Expand Search), mbell (Expand Search), mbbella (Expand Search), mbplla (Expand Search), mbelsa (Expand Search)
ella » bella (Expand Search), plla (Expand Search), elsa (Expand Search)
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Report on industrial orientation with Environmental Resources Management Pte Ltd (ERM)
Published 2015“…Learning includes understanding the Environmental Baseline Study (EBS), ESA guidelines for State Land in Singapore, Environmental Health and Safety (EHS) guidelines for onshore and offshore gas and oil development, International Financial Corporation (IFC) guidelines for various environmental parameters, Singapore EHS legislation, and various research works amongst the many learning. …”
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SPICES: spectro-polarimetric imaging and characterization of exoplanetary systems.
Published 2017“…SPICES (Spectro-Polarimetric Imaging and Characterization of Exoplanetary Systems) is a five-year M-class mission proposed to ESA Cosmic Vision. Its purpose is to image and characterize long-period extrasolar planets and circumstellar disks in the visible (450-900 nm) at a spectral resolution of about 40 using both spectroscopy and polarimetry. …”
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Investigating the EM performance of building materials for mid-band 5G in urban built environment: an exploratory study
Published 2024“…The thesis is concluded with the investigation of material loading on an evolved antecedent hexagonal-stubbed complementary split-ring resonator (CSRR)-loaded electrically small antenna (ESA) designed to cover the 3.5 GHz 5G frequency band. …”
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Thesis-Doctor of Philosophy -
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Power management system design and optimization for European Student Moon Orbitor (ESMO)
Published 2013“…ESMO is a European Space Agency (ESA) initiative to involve the universities to build the first student satellite to orbit the Moon. …”
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Final Year Project (FYP) -
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Global monitoring of volcanic SO2 degassing with unprecedented resolution from TROPOMI onboard Sentinel-5 Precursor
Published 2019“…We report here the first volcanic SO2 measurements from the hyperspectral TROPOspheric Monitoring Instrument (TROPOMI) launched in October 2017 onboard the ESA’s Sentinel-5 Precursor platform. Using the operational processing algorithm, we explore the benefit of improved spatial resolution to the monitoring of global volcanic degassing. …”
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Journal Article -
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Machine Learning Approaches for the Prediction of Postoperative Major Complications in Patients Undergoing Surgery for Bowel Obstruction
Published 2024“…Andrea Hospital, Sapienza University of Rome, 00185 Roma, Italy 4 Section of Hygiene, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy 5 EIT Digital Master School, Polytech Nice Sophia, 06410 Biot, France 6 Department of Surgery, Santa Maria della Misericordia Hospital, University of Perugia, 06123 Perugia, Italy 7 MIT Professional Education, Massachusetts Institute of Technology, Cambridge, MA 02139, USA 8 Département de Chirurgie Digestive, Centre Hospitalier Universitaire de Nice, CHU Nice, 06000 Nice, France 9 Department of Life Science, Health, and Health Professions, Link Campus University, 00165 Rome, Italy 10 Department of Surgery, Sapienza University of Rome, 00185 Roma, Italy * Author to whom correspondence should be addressed. …”
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Extreme learning machines for feature learning
Published 2017“…Hence this thesis extends ELM for feature learning. This thesis introduces an ELM based feature learning framework with linear hidden layer activation function referred to as linear Extreme Learning Machine Auto-Encoder (ELM-AE) and linear Sparse Extreme Learning Machine Auto-Encoder (SELM-AE); ELM-AE and SELM-AE with sigmoid hidden layer activation function referred to as non-linear ELM-AE and non-linear SELM-AE. …”
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Thesis -
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Indoor occupancy estimation using environmental parameters
Published 2017“…The FS-ELM is in fact a novel architecture of the ELM, in which a feature layer is added to the standard ELM. …”
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Thesis-Doctor of Philosophy -
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Weighted online sequential extreme learning machine for class imbalance learning
Published 2013“…In this paper, we propose a weighted online sequential extreme learning machine (WOS-ELM) algorithm for class imbalance learning (CIL). …”
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Journal Article -
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Short-term load forecasting by wavelet transform and evolutionary extreme learning machine
Published 2015“…Each component of the load series is then separately forecasted by a hybrid model of ELM and MABC (ELM-MABC). The global search technique MABC is developed to find the best parameters of input weights and hidden biases for ELM. …”
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Extreme learning machine based fast object recognition
Published 2014“…Besides, the parameter tuning process for ELM is much easier than SVM as well.…”
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Conference Paper -
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Sequential learning for extreme learning machine
Published 2008“…A novel sequential learning algorihtm for training Single Hidden Layer Feedforward Neural Network (SLFN), Online Sequential Extreme Learning Machine (OS-ELM) is proposed. OS-ELM is based on the combination of Extreme Learning Machine (ELM) and the recursive least-squares (RLS) algorithm. …”
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Thesis -
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Extreme learning machine for classification and clustering on multiview data
Published 2021“…The ELM auto-encoder (ELM-AE) is adopted for feature extraction and feature fusion, and an ELM classifier is ultilized for the final classification. …”
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Thesis-Doctor of Philosophy -
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Enhanced extreme learning machines for image classification
Published 2019“…Among numerous machine learning methods, we choose the Extreme Learning Machine (ELM) for our image classification applications. …”
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Thesis -
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Development of localization algorithms for a WiFi based indoor positioning system with machine learning techniques
Published 2015“…We model the indoor positioning problem under a non-parametric stochastic framework, and modify the well-known ML tool, extreme learning machine (ELM), to achieve the above goal. Firstly, under the assumption that noises merely lie in input data, we modify ELM by introducing a dead zone, which is called DZ-ELM, and integrate it into our IPS. …”
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Thesis -
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Extreme learning machine based speaker recognition
Published 2011“…Finally and most importantly, the performance of ELM and SVM will be compared. With the results shown in Chapter 6, we can draw the conclusion that ELM is superior to SVM in terms of tuning simplicity, time efficiency and testing accuracy.…”
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Final Year Project (FYP)