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

“…This paper proposes a novel short-term load forecasting (STLF) method based on wavelet transform, extreme learning machine (ELM) and modified artificial bee colony (MABC) algorithm. …”
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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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EEG based mind controlled car by Li, Yue

“…This project describes the process to design and implementation of real time application for Extreme Learning Machine on Brain-Computer interface area. The ELM was proposed by Dr. Huang GB in NTU, which is Single-hidden layer feed forward network can be applied as a reliable and efficiency classifier in many different area. …”
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Extreme learning machine based fast object recognition by Xu, Jiantao, Zhou, Hongming, Huang, Guang-Bin

“…Extreme Learning Machine (ELM) as a type of generalized single-hidden layer feed-forward networks (SLFNs) has demonstrated its good generalization performance with extreme fast learning speed in many benchmark and real applications. …”
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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. …”
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Cost-benefit analysis of renewable energy sources for smart grids by Htun Htun, Aung

“…After all the computations, EMS presents the results on the GUI and generates financial and technical reports in excel format. …”
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In vitro evaluation of oral contraceptives on long-tailed macaque (Macaca fascicularis) primary ovarian cells by Muhammed, Mikail, Tengku Azizan, Tengku Rinalfi Putra, Mohd Noor, Mohd Hezmee, Abu Hassim, Hasliza, Che'Amat, Azlan, Saleh, Annas Bin, Han, Mark Hiew Wen, Ab Latip, Mohd Qayyum

“…Hence, we conclude that human oral contraceptives (Nordette, Noriday, and Ella) are safe and effective in long-tailed macaque ovarian cells as such could be used to develop non-invasive oral contraceptives for controlling the population of long-tailed macaques as an alternative population control method.…”
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Estimation of diaphragm wall deflections for deep braced excavation in anisotropic clays using ensemble learning by Zhang, Runhong, Wu, Chongzhi, Goh, Anthony Teck Chee, Böhlke, Thomas, Zhang, Wengang

“…Surrogate models were developed via ensemble learning methods (ELMs), including the eXtreme Gradient Boosting (XGBoost), and Random Forest Regression (RFR) to predict the maximum lateral wall deformation (δhmax). …”
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India's comprehensive economic engagement with east and southeast Asia. by Suvi Dogra.

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Developing a Xen hypervisor based alternate defense against cipher suite downgrade attacks for virtual TLS servers by Pathangi Janardhanan Jatinshravan

“…In this project, I attempted to defend a TLS virtual server running on a Xen Hypervisor against downgrade attack attempts by intercepting the TLS Client Hello, which is the first message in a TLS communication, and examining the client’s preferred cipher suite, dropping the client hello if the cipher suite is not of the desired standard, thus ensuring that a TLS connection does not take place. …”
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Microfinance and poverty alleviation : experience in Bangladesh and Cambodia by Ek Sopheara

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AWEK CHUCK TAYLOR / by Nami Cob Nobbler, author 627222

“…Disamping cerita Awek Chuck Taylor ini berpusar kepada keluarga Mira - cerita ini juga menceritakan terfaktabnya Hafiz dengan awek yang dia stalk bernama Sheila, awek dia yang cemburu buta bernama Fadilah, awek yang gila kikis duit bernama Bella serta adik angkat yang hidup dalam pasca moden kehidupan Melayu urban influence Nona dan Cerekarama bernama Azrina. …”

Forecasting loads for microgrids by Soo, Fui Lan

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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. …”
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Environmental footprint of voltammetric sensors based on screen-printed electrodes: an assessment towards "green" sensor manufacturing by Ahamed, Ashiq, Ge, Liya, Zhao, Ke, Veksha, Andrei, Bobacka, Johan, Lisak, Grzegorz

“…However, considering the end-of-life scenarios and release of microplastics into the environment, ceramic, glass or paper could be the most suitable options for SMs. Amongst the EMs, the replacement of metals, especially noble metals, by carbon-based EMs greatly reduces the environmental footprint of SPEs. …”
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A survey on motivation for ISO 14000 certification of Singapore organisations. by Tan, Chin Meng., Khoo, Jimmy Y. K., Wong, Poh Seng.

“…Other objectives such as examining the environmental awareness among the industries and the level of intention of adopting ISO 14000 EMS are also discussed.…”
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Structured sparse representations for supervised and unsupervised learning by Zeng, Yijie

“…This thesis also explores the use of unsupervised ELM (US-ELM) on top of the learned graph to learn a flexible and discriminative data embedding that is beneficial for clustering. …”
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Uncertainty aware minority game based energy management system for smart buildings by Cai, Xingyu, Zhang, Chun, Yu, Hao, Bhar, Radhika, Gooi, Hoay Beng

“…Compared with the conventional minority-game based energy management system (MG-EMS) without considering uncertainty, our UAMG-EMS shows about 37% reduction of unbalance in fair solar energy allocation, and also about 23% reduction of noise influence merely based on inaccurate energy meters/sensors.…”
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Automatic knee segmentation from multi-contrast MR images by Zhang, Kunlei

“…The choice of the classifier can be some powerful classification models such as SVM and ELM. The advantages of the developed scheme are achieved via effective incorporation of both a useful feature set and the ELM (or SVM) classification with spatial dependencies between neighboring voxels via a DRF framework. …”
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Energy management of microgrids by Ju, Chengquan

“…The hierarchical dispatch model is well designed, that total operational cost is achieved in the upper layer EMS while the lower layer EMS deals with more cumbersome tasks resulted in intermittencies and forecast errors. …”
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