Why is income inequality necessary for economic growth? If income equality is achieved, will economic growth stagnate? by Tan, Melisa Mei Jin

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Pelajar antarabangsa UMPSA teruja tonton filem ‘Mereka Yang Tertewas’ mengangkat keunikan negeri Pahang by Jamilah Bebe, Mohamad

“…Osman bersama-sama dengan Exco Komunikasi dan Multimedia, Belia Sukan dan Badan-badan bukan Kerajaan Negeri Pahang, Yang Berhormat Fadzli Mohamad Kamal di pawagam Golden Screen Kuantan City Mall melalui program Tonton Santai.…”
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Report on industrial orientation with Environmental Resources Management Pte Ltd (ERM) by Heng, Ming Xuan

“…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. 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. …”
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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. …”
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Kajian Eksplorasi Terhadap Tempat Pelancongan di Daerah Sik (S/O 14784) by Abdul Hamid, Zeety Kartini, Hj. Ghazali, Norzaliza, Paidi, Zulhilmi, Ramlan, Mohd Raime

“…Sri Lovely pula terdapat "lnstitut Pengurusan Pertanian Organik Bersepadu Kedah Darul Aman (INSPEK) yang menawarkan kursus jangka pendek untuk 7000 belia tempatan dan antarabangsa. Namun, semasa lawatan ke Sri Lovely, didapati tahap penglibatan anak muda tempatan masih rendah akibat kurang minat. …”
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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. …”
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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. …”
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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.

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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. …”
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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. …”
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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). …”
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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. …”
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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.…”
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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. …”
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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. …”
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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. …”
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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. …”
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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.…”
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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. …”
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