Sustainable Approaches and Strategies for E-Waste Management and Utilization / by Rawani, A. M., editor 656289, Sahu, Mithilesh Kumar, editor 656290, Chakrabarti, Siddharth S., editor 656291, Singh, Ajit Kumar, editor 656292, IGI Global (Online service) 631983

Get full text

LegSense: Inducing Walking Sensation in Seated VR by Providing Movement Illusion via Electrical Muscle Stimulation by Um, Juwon, Jeon, Eunki, Kang, Yumin, Kang, Seongjun, Elsharkawy, Ahmed, DelPreto, Joseph, Matusik, Wojciech, Rus, Daniela, Kim, SeungJun

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

Part geometry-driven crystallographic texture control in a 3D-printed austenitic steel – a strategy for near-monocrystalline microstructure generation by Chandra, Shubham, Tan, Xipeng, Kumar, Punit, Ramamurty, Upadrasta

“…Strikingly, the strength of the 〈001〉 || z crystallographic texture and columnar grain width with increasing prism angle is seen to follow a ‘bell-curve’ profile which peaks with the X-90 shape. …”
Get full text

Design and implementation of a smart Internet of Things chest pain center based on deep learning by Li, Feng, Bi, Zhongao, Xu, Hongzeng, Shi, Yunqi, Duan, Na, Li, Zhaoyu

“…The pre-hospital app is provided to emergency medical services (EMS) centers, which allows them to record patient information in advance and keep it synchronized with the hospital's database, reducing the time needed for treatment. …”
Get full text

Removal of noxious environmental pollutant using photocatalytic membrane reactor by Yeap, Ken Vin.

“…The average roughness of the membrane is 10nm with a very well distributed (Gaussian bell curve) pore size. The technique used in this project was able to achieve uniformity on the skin layer, as the band gap remains the same which membrane coated with multiple layers. …”
Get full text

Signature methods in machine learning by Lyons, T, McLeod, A

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

Consensus on current management of endometriosis by Johnson, NP, Hummelshoj, L, World Endometriosis Society Montpellier Consortium

Climate change: crop performance and potential by Ramlan, Mohd Fauzi

“…A similar study has been done in the production of bell pepper in lowland areas. In-depth analyses on plant partitioning and yield components are highlighted. …”
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

Color and flavor development of roasted jackfruit (Artocarpus hetrophyllus L.) seeds by Azeez, Shakirah Omotoke

“…The micro-structural studies of both raw and roasted JFS at different roasting levels showed a B-type category of starch granules with semioval to round/bell shapes (5-9μm in diameter), which became flattened as the roasting temperature and time increased. …”
Get full text

Modeling and coordination control of AC/DC hybrid microgrids by Zhang, Zhe

“…To achieve comprehensive coordination for hybrid microgrids, the most common implementation for the entire system is a centralized energy management system (EMS) with a communication link between the central controller and other system components. …”
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