Effect of hydrogen peroxide sterilization on properties and degradation of poly (ε-caprolactone) and poly (L-lactide-co-ε-caprocaltone) by Sia, Denia.

“…However, there is an increase in degree of crystallinity of PCL and new PLLA crystal formation in PLC samples observed during the degradation study. …”
Get full text

SPICES: spectro-polarimetric imaging and characterization of exoplanetary systems. by Boccaletti, Anthony, Schneider, Jean, Traub, Wes, Lagage, Pierre-Olivier, Stam, Daphne, Gratton, Raffaele, Trauger, John, Cahoy, Kerri, Snik, Frans, Baudoz, Pierre, Galicher, Raphael, Reess, Jean-Michel, Mawet, Dimitri, Augereau, Jean-Charles, Patience, Jenny, Kuchner, Marc, Wyatt, Mark, Pantin, Eric, Maire, Anne-Lise, Vérinaud, Christophe

“…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. …”
Get full text

Investigating the EM performance of building materials for mid-band 5G in urban built environment: an exploratory study by Ng, Sean Jake Peng

“…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. …”
Get full text

Power management system design and optimization for European Student Moon Orbitor (ESMO) by Muhammad Dzahir Mohamed Zain Affandi.

“…ESMO is a European Space Agency (ESA) initiative to involve the universities to build the first student satellite to orbit the Moon. …”
Get full text

Global monitoring of volcanic SO2 degassing with unprecedented resolution from TROPOMI onboard Sentinel-5 Precursor by Barrington, Charlotte, Taisne, Benoit, Theys, N., Hedelt, P., De Smedt, I., Lerot, C., Yu, H., Vlietinck, J., Pedergnana, M., Arellano, S., Galle, B., Fernandez, D., Carlito, C. J. M., Delgado-Granados, H., Loyola, D., Van Roozendael, M.

“…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. …”
Get full text
Get full text

The MALINA oceanographic expedition : how do changes in ice cover, permafrost and UV radiation impact biodiversity and biogeochemical fluxes in the Arctic Ocean? by Massicotte, P., Amon, R. M. W., Antoine, D., Archambault, P., Balzano, S., Bélanger, S., Benner, R., Boeuf, D., Bricaud, A., Bruyant, F., Chaillou, G., Chami, M., Charrière, B., Chen, J., Claustre, H., Coupel, P., Delsaut, N., Doxaran, D., Ehn, J., Fichot, C., Forget, M. H., Fu, P., Gagnon, J., Garcia, N., Gasser, B., Ghiglione, J. F., Gorsky, G., Gosselin, M., Gourvil, P., Gratton, Y., Guillot, P., Heipieper, H. J., Heussner, S., Hooker, S. B., Huot, Y., Jeanthon, C., Jeffrey, W., Joux, F., Kawamura, K., Lansard, B., Leymarie, E., Link, H., Lovejoy, C., Marec, C., Marie, D., Martin, J., Martín, J., Massé, G., Matsuoka, A., McKague, V., Mignot, A., Miller, W. L., Miquel, J. C., Mucc,i A., Ono, K., Ortega-Retuerta, E., Panagiotopoulos, C., Papakyriakou, T., Picheral, M., Prieu,r L., Raimbault, P., Ras, J., Reynolds, R. A., Rochon, A., Rontani, J. F., Schmechtig, C., Schmidt, S., Sempéré, R., Shen, Y., Song, G., Stramski, D., Tachibana, E., Thirouard, A., Tolosa, I., Tremblay, J. E., Vaïtilingom, M., Vaulot, Daniel, Vaultier, F., Volkman, J. K., Xie, H., Zheng, G., Babin, M.

Get full text

Extreme learning machines for feature learning by Liyanaarachchi Lekamalage, Chamara Kasun

“…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. …”
Get full text

Indoor occupancy estimation using environmental parameters by Masood, Khalid Mustafa

“…The FS-ELM is in fact a novel architecture of the ELM, in which a feature layer is added to the standard ELM. …”
Get full text

Weighted online sequential extreme learning machine for class imbalance learning by Lin, Zhiping, Mirza, Bilal., Toh, Kar-Ann.

“…In this paper, we propose a weighted online sequential extreme learning machine (WOS-ELM) algorithm for class imbalance learning (CIL). …”
Get full text
Get full text

Short-term load forecasting by wavelet transform and evolutionary extreme learning machine by Li, Song, Wang, Peng, Goel, Lalit

“…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. …”
Get full text
Get full text
Get full text

Extreme learning machine based fast object recognition by Xu, Jiantao, Zhou, Hongming, Huang, Guang-Bin

“…Besides, the parameter tuning process for ELM is much easier than SVM as well.…”
Get full text
Get full text
Get full text

Sequential learning for extreme learning machine by Liang, Nanying

“…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. …”
Get full text

Extreme learning machine for classification and clustering on multiview data by Chen, Jichao

“…The ELM auto-encoder (ELM-AE) is adopted for feature extraction and feature fusion, and an ELM classifier is ultilized for the final classification. …”
Get full text

Enhanced extreme learning machines for image classification by Cui, Dongshun

“…Among numerous machine learning methods, we choose the Extreme Learning Machine (ELM) for our image classification applications. …”
Get full text
Get full text

Development of localization algorithms for a WiFi based indoor positioning system with machine learning techniques by Lu, Xiaoxuan

“…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. …”
Get full text

Extreme learning machine based speaker recognition by Hu, Zongjiang.

“…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.…”
Get full text

ADC architectures for low power analog machine learning by David Bose, Christin

“…First, a 1-bit ADC (current comparator) is designed for application in a novel ELM based conditional branch prediction system designed for pipelined processors. …”
Get full text

EEG based mind controlled car by Li, Yue

“…Furthermore, in order to demo the result, we built a remote control car which controlled by the classification result from ELM classifier.…”
Get full text

Emotional states classification from brain signals by Lee, Vinson Bing Jun.

“…Results from the experimental data have indicated that Kernel ELM is the best option as opposed to other SVM variants. …”
Get full text

Low-power processors for implantable epileptic seizure detection system by Baihaqi, Muhammad Rayhan

“…Extreme Learning Machine (ELM) has gained some attentions recently, due to the fact that learning speed of ELM is really fast compared to the traditional learning algorithm. …”
Get full text