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| 1 | Universal approxima- tion using incremental constructive feedforward networks with random hidden nodes 显示文摘 | Huang Guangbin Chen Lei Siew C K | 2006 | IEEE Trans on Neural Net- works2006，17，4： | 1 |
| 2 | Enhanced random search based incremental learning machine显示文摘 | Huang Guangbin Chen Lei | 2008 | Neurocomputing2008，71，161718： | 1 |
| 3 | Universal ap- proximation using incremental constructive feedforward networks with random hidden nodes 显示文摘 | HUANG Guangbin CHEN Lei Slew C K | 2006 | IEEE Transac- tions on Neural Networks / a Publication of the IEEE Neu- ral Networks Council2006，17，4： | 1 |
| 4 | Enhanced random search based incremental extreme learning machine显示文摘 | Huang Guangbin Chen Lei | 2008 | Neurocomputing2008，71，161718： | 1 |
| 5 | Enhanced random search based incremental extreme learning machine显示文摘 | Guangbin Huang Lei Chen | 2008 | Neu- rocomputing2008，71，16： | 1 |
| 6 | Convex incremental extreme learning machine显示文摘 | HUANG Guangbin CHEN Lei | 2007 | Neurocomputing2007，70，1618： | 1 |
| 7 | Universal approximation using incremental constructive feedforward networks with random hidden nodes 显示文摘 | HUANG Guangbin CHEN Lei SIEW Chee-Kheong | 2006 | IEEE Transactions on Neural Networks2006，17，4： | 1 |
| 8 | Study on the mechanism of rapid formation ofu ultra-thick tribofilm by CeO_(2)nano additive and ZDDP显示文摘CeO_(2)nanoparticles are potential anti-wear additives because of their outstanding anti-wear and load-bearing capacity.However,the shear-sintering tribo-film formation mechanism of oxide nanoparticles limits the tribo-film formation rate and thickness greatly.In this study,by compounding with zinc dioctyl dithiophosphate(ZDDP),ultra-fine CeO_(2)nanoparticles modified with oleylamine(OM)can quickly form 2μm ultra-thick tribo-film,which is 10-15 times thicker than that of ZDDP and CeO_(2),respectively.The ultra-thick tribo-film presents a nanocomposite structure with amorphous phosphate as binder and nano-CeO_(2)as filling phase,which leads to the highest loading capacity of composite additives.The results of adsorption experiments tested by dissipative quartz crystal microbalance(QCM-D)showed that the Ps value of additive has nothing to do with its equilibrium adsorption mass,but is directly proportional to its adsorption rate in 10 s.The compound additive of CeO_(2)and ZDDP presented the co-deposition mode of ZDDP monolayer rigid adsorption and CeO_(2)viscoelastic adsorption on the metal surface,which showed the highest adsorption rate in 10 s.It is found that the tribo-film must have high film forming rate and wear resistance at the same time in order to achieve super thickness.Cerium phosphate was formed from ZDDP and CeO,through tribochemistry reaction,which promotes the formation of an ultra-thick tribo-film with nanocomposite structure,which not only maintains the low friction characteristics of CeO,but also realizes high Pg and high load-carrying capacity. | Xue LEI Yujuan ZHANG Shengmao ZHANG Guangbin YANG Chunli ZHANG Pingyu ZHANG | 2023 | Friction2023，11，1： | 1 |
| 9 | A review of land use/land cover change mapping in the China-Central Asia-West Asia economic corridor countries显示文摘Large-scale projects,such as the construction of railways and highways,usually cause an extensive Land Use Land Cover Change(LULCC).The China-Central Asia-West Asia Economic Corridor(CCAWAEC),one key large-scale project of the Belt and Road Initiative(BRI),covers a region that is home to more than 1.6 billion people.Although numerous studies have been conducted on strategies and the economic potential of the Economic Corridor,reviewing LULCC mapping studies in this area has not been studied.This study provides a comprehensive review of the recent research progress and discusses the challenges in LULCC monitoring and driving factors identifying in the study area.The review will be helpful for the decision-making of sustainable development and construction in the Economic Corridor.To this end,350 peer-reviewed journal and conference papers,as well as book chapters were analyzed based on 17 attributes,such as main driving factors of LULCC,data collection methods,classification algorithms,and accuracy assessment methods.It was observed that:(1)rapid urbanization,industrialization,population growth,and climate change have been recognized as major causes of LULCC in the study area;(2)LULCC has,directly and indirectly,caused several environmental issues,such as biodiversity loss,air pollution,water pollution,desertification,and land degradation;(3)there is a lack of well-annotated national land use data in the region;(4)there is a lack of reliable training and reference datasets to accurately study the long-term LULCC in most parts of the study area;and(5)several technical issues still require more attention from the scientific community.Finally,several recommendations were proposed to address the identified issues. | Amin Naboureh Jinhu Bian Guangbin Lei Ainong Li | 2021 | Big Earth Data2021，5，2： | 1 |
| 10 | Universal approximation using incremental constructive feedforward networks with random hidden nodes显示文摘 | HUANG Guangbin CHEN Lei SIEW Chee-Kheong | 2006 | IEEE Transactions on Neural Networks2006，17，4： | 1 |
| 11 | Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes显示文摘 | Huang Guangbin Chen Lei Siew C H | 2006 | IEEE Transactions on Neural Networks2006，17，4： | 1 |
| 12 | Enhanced random search based incremental extreme learning machine显示文摘 | Huang Guangbin Chen Lei | 2008 | Neurocomputing2008，71，1618： | 1 |
| 13 | Solid-state preparation of mesoporous Ce-Mn-Co ternary mixed oxide nanoparticles for catalytic degradation of methylene blue显示文摘Mesoporous Ce-Mn-Co ternary metal oxide was fabricated via an efficient oxalate-precursor-based soft reactive grinding route and used to activate H_(2)O_(2) for advanced oxidation of methylene blue in water.In addition,Mn-Co binary oxide and pure Co_(3)O_(4) and Mn_(3)O_(4) were also synthesized as reference catalysts.These catalysts were characterized by X-ray diffraction,N_(2) adsorption-desorption,H_(2)-temperature programmed reduction,transmission electron microscopy,scanning electron microscopy and X-ray photoelectron spectroscopy.The results demonstrate that part of the Ce and Mn can be incorporated into the lattice of Co_(3)O_(4) and cause severe lattice distortion of the unit cell.Compared with the single or binary system,Ce-Mn-Co ternary metal oxide exhibits the best activity in methylene blue removal and nearly 100% decomposition rate and 84% COD removal rate can be achieved in 12 h,and with degradation rate of 93.5% after three rounds.These results are primarily attributed to the synergistic effect of Ce,Mn and Co,which can promote the formation of more lattice defects,higher specific surface area and smaller particle size.Quenching tests show that hydroxyl radicals(·OH) play more dominant role than superoxide radicals(·O_(2)^(-)).Kinetic studies were studied and the activation energies of all the catalysts were calculated. | Qingwen Wang Wenyong Deng Xinchen Lin Xigen Huang Ling Wei Lei Gong Changxiang Liu Guangbin Liu Qian Liu | 2021 | Journal of Rare Earths2021，39，7： | 0 |
| 14 | Dataset of the mountain green cover index(SDG15.4.2)over the economic corridors of the Belt and Road Initiative for 2010-2019显示文摘Mountains are undergoing widespread changes caused by human activities and climate change.Given the importance of mountains,the protection and sustainable development of mountain ecosys-tems have been listed as the goals of the United Nations 2030 Sustainable Development Agenda.As one of the indicators,the Mountain Green Cover Index(MGCI)datasets can provide consis-tent and comparable status of green vegetation in mountainous areas,which can support the mapping of heterogeneous mountain ecosystem health and monitoring changes over time.The produc-tion of explicitly high-spatial-resolution MGCI datasets is therefore urgently needed to support the protection measures at subnational and multitemporal scales.In this paper,the MGCI datasets with 500-meter spatial resolutions,covering the economic corridors of the Belt and Road Initiative(BRI),were developed for 2010 to 2019 based on all available Landsat-8 data and the Google Earth Engine cloud computing platform.The validation of green vegeta-tion cover with the ground-truth samples indicated that the data-sets can achieve an overall accuracy of 94.06%,with well-detailed spatial and temporal variations.The archived datasets include the MGCI of each BRI economic corridor,matched to a geospatial layer denoting the economic corridor boundaries.The essential informa-tion of the datasets and their limitations,along with the production flow,were described in this paper. | Jinhu Bian Ainong Li Xi Nan Guangbin Lei Zhengjian Zhang | 2022 | Big Earth Data2022，6，1： | 0 |
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