The antiproliferative effect of Chloroform fraction of Eleutherine bulbosa (Mill.) Urb. on 2D- and 3D-human lung cancer cells (A549) model by Zakaria, Nur Hannan, Saad, Norazalina, Che Abdullah, Che Azurahanim, Mohd. Esa, Norhaizan

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Effective antibodies immobilization and functionalized nanoparticles in a quartz-crystal microbalance-based immunosensor for the detection of parathion by Della Ventura, Bartolomeo, Iannaccone, Marco, Funari, Riccardo, Pica Ciamarra, Massimo, Altucci, Carlo, Capparelli, Rosanna, Roperto, Sante, Velotta, Raffaele

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Event tourism image of art of speed / by Nur Jannah Mohd. Esa, 1991-, author 616031, Hairul Nizam Ismail, supervisor 298283, Fakulti Alam Bina 8041

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Exploring the detrimental effects of microplastics on Asian seabass (Lates calcarifer) fingerlings survival and health by Suleiman, Saadu Bala, Esa, Yuzine, Aziz, Dania, Ani Azaman, Siti Nor, Hassan, Nadiatul Hafiza, Syukri, Fadhil

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The performances of cationic starch (CS) and sodium carboxymethyl celluloses (CMC-Na) as a dry strength additives (DSA) on A4 wastepaper by Nor Mazlana Main, Nor Mazlana Main, Hishamuddin, Nurfarhani, Noraini Marsi, Noraini Marsi, Esa, Mohd Faizal, Masrol, Shaiful Rizal

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Stingless bee (Heterotrigona itama) honey and its phenolic-rich extract ameliorate oxidant–antioxidant balance via KEAP1-NRF2 signalling pathway by Zulhilmi Cheng, Mohamad Zulhafiz Shafiq, Zulkhairi Amin, Fatin Aina, Zawawi, Norhasnida, Chan, Kim Wei, Ismail, Norsharina, Ishak, Nur Akmal, Mohd Esa, Norhaizan

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Lifetime estimation of DC XLPE cable insulation using BPNN-IPM improved with various schemes and optimization methods by Miftahul Fikri, Miftahul Fikri, Abdul-Malek, Zulkurnain, Mohd Esa, Mona Riza, Eko Supriyanto, Eko Supriyanto, Kartadinata, Iwa Garniwa Mulyana, Abduh, Syamsir, Christiono, Christiono

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Liquid LPG injection behavior in a spark ignition engine at idle state condition by Mustaffa, Norrizal, Fawzi, Mas, Amir Khalid, Amir Khalid, Norrizam Jaat, Norrizam Jaat, Tukiman, Mohd Mustaqim, Khairu Kamarudin, Khairu Kamarudin, Masrol, Shaiful Rizal, Esa, Mohd Faizal

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A comprehensive study of laser irradiated hydrothermally synthesized 2D layered heterostructure V2O5(1−x)MoS2(x) (X = 1–5%) nanocomposites for photocatalytic application by Jameel, Muhammad Hasnain, Yasin, Aqeela, Samia, Mayzan, Mohd Zul Hilmi, Roslan, Muhammad Sufi, Esa, Fahmiruddin, Agam, Mohd Arif, Mohd Zaid, Mohd Hafiz, Althubeiti, Khaled, Aljohani, Mohammed

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Heterogeneous somatostatin-expressing neuron population in mouse ventral tegmental area by Nagaeva, Elina, Zubarev, Ivan, Gonzales, Carolina Bengtsson, Forss, Mikko, Nikouei, Kasra, de Miguel, Elena, Elsilä, Lauri, Linden, Anni-Maija, Hjerling-Leffler, Jens, Augustine, George James, Korpi, Esa R.

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Arabidopsis RCD1 coordinates chloroplast and mitochondrial functions through interaction with ANAC transcription factors by Shapiguzov, Alexey, Fernie, Alisdair R., Vainonen, Julia P., Hunter, Kerri, Tossavainen, Helena, Tiwari, Arjun, Järvi, Sari, Hellman, Maarit, Aarabi, Fayezeh, Alseekh, Saleh, Wybouw, Brecht, Van Der Kelen, Katrien, Nikkanen, Lauri, Krasensky-Wrzaczek, Julia, Sipari, Nina, Keinänen, Markku, Tyystjärvi, Esa, Rintamäki, Eevi, De Rybel, Bert, Salojärvi, Jarkko, Van Breusegem, Frank, Brosché, Mikael, Permi, Perttu, Aro, Eva-Mari, Wrzaczek, Michael, Kangasjärvi, Jaakko

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Filamentation of a relativistic proton bunch in plasma by Verra, L, Amoedo, C, Torrado, N, Clairembaud, A, Mezger, J, Pannell, F, Pucek, J, van Gils, N, Bergamaschi, M, Zevi Della Porta, G, Lopes, N, Sublet, A, Turner, M, Gschwendtner, E, Muggli, P, Agnello, R, Ahdida, CC, Andrebe, Y, Apsimon, O, Apsimon, R, Arnesano, JM, Bencini, V, Blanchard, P, Burrows, PN, Buttenschön, B, Caldwell, A, Chung, M, Cooke, DA, Davut, C, Demeter, G, Dexter, AC, Doebert, S, Farmer, J, Fasoli, A, Fonseca, R, Furno, I, Granados, E, Granetzny, M, Graubner, T, Grulke, O, Guran, E, Henderson, J, Kedves, MÁ, Kraus, F, Krupa, M, Lefevre, T, Liang, L, Liu, S, Lotov, K, Pakuza, C, Ramjiawan, RL, Spear, B

Further studies of extreme learning machine and compressed signal detection by Cao, Jiuwen

“…In Chapter 1, we give literature reviews of extreme learning machine (ELM) and compressed sensing (CS). In part I of the thesis (Chapters 2, 3, and 4), we consider the recent ELM for training neural networks and present several improved algorithms. …”
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SCHOOL OF THIEVES / by Sabrina Ismail, author 655830, Naadhira Zahari, editor 655828

“…In fact, she won’t be facing any punishment at all. Instead, she gets recruited into the School of Thieves, a place where her criminal skills get polished and she is transformed into a criminal mastermind. …”

Manipulating fungal growth in engineered living materials through precise deposition of nutrients by Teoh, Jia Heng, Soh, Eugene, Le Ferrand, Hortense

“…One main challenge of emerging fungal-based engineered living materials (ELMs) lies in achieving localized multi-material properties in these structures. …”
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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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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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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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