On the shear failure of incipient rock discontinuities under CNL and CNS boundary conditions : insights from DEM modelling by Shang, Junlong, Zhao, Zhiye, Ma, S.

“…This paper presents a numerical investigation of the effects of boundary conditions, i.e., constant normal load (CNL) and constant normal stiffness (CNS), on the failure mechanism of incipient rock discontinuities in direct shear. …”
Get full text

Choice as an engine of independence : implications for employee voice and managerial decision making by Nanakdewa, Kevin

“…Research on the choice mindset found that even when people engaged in the same behaviors, the extent to which they construed their actions as choices varied greatly. …”
Get full text

How to optimize the supply and allocation of medical emergency resources during public health emergencies by Wang, Chunyu, Deng, Yue, Yuan, Ziheng, Zhang, Chijun, Zhang, Fan, Cai, Qing, Gao, Chao, Kurths, Jurgen

“…It is therefore difficult to satisfy all objectives at the same time in real applications. In this paper, a data-driven multi-objective optimization method, called as GA-PSO, is proposed to address such problem. …”
Get full text

The imagination of eco-disaster : post-disaster rebuilding in Asian cinema by Chu, Kiu-Wai

Get full text

Dōgen’s “Leaving Home Life” (Shukke 出家) : a study of aesthetic experience and growth in John Dewey and Dōgen by Bender, Jacob

Get full text

Semi-CNN architecture for effective spatio-temporal learning in action recognition by Leong, Mei Chee, Prasad, Dilip K., Lee, Yong Tsui, Lin, Feng

“…This paper introduces a fusion convolutional architecture for efficient learning of spatio-temporal features in video action recognition. …”
Get full text

Rewriting in translation : the case of the China Edition of Lee Kuan Yew Memoir From Third World to First Singapore Story 1965-2000 by Tan, Kelvin Thong Boon

“…Further research can be done on other editions of the same language for a comparison on the modification strategies employed.…”
Get full text

Sproutly : plantable packaging by Dhanusha Surendran

“…The packaging is 100% compostable, made with recycled paper, and embedded with seeds. As such, the packaging germinates when planted. …”
Get full text

Liner shipping operation under emission reduction measures by Hu, Xinyue

“…To achieve this, this paper proposes a liner fleet model on a regular itinerary, in order to formulate an objective function to minimize its daily operating cost, with the aim to provide liner vessel fleets a theoretical guidance on how to combine the selected three options (slow steaming, scrubbers and lower sulfur fuel) while maintaining the same service frequency.…”
Get full text

Content-insensitive blind image blurriness assessment using Weibull statistics and sparse extreme learning machine by Deng, Chenwei, Wang, Shuigen, Li, Zhen, Huang, Guang-Bin, Lin, Weisi

“…However, these methods are content sensitive with little consideration of image content variations, which causes variant estimations for images with different contents but same blurriness degrees. In this paper, a content-insensitive blind image blurriness assessment metric is developed utilizing Weibull statistics. …”
Get full text

Reinforcement learning-based method 3D motion planning for a 3D inspection task using prior viewpoint information by Chee, Yeng Sung

“…The proposed method compares the distance traveled by the same camera rays with a minimum threshold in two scenarios: target object with and without an obstacle to obtain a more realistic visibility of the viewpoint. …”
Get full text

Technoeconomic and environmental assessment of HyForce, a hydrogen-fuelled harbour tug by Menon, Nirmal Vineeth, Chan, Siew Hwa

“…The study compares the use of hydrogen fuel cells and an internal combustion engine to perform the same dynamic load profile for a typical tugboat mission. …”
Get full text

iTD3-CLN: learn to navigate in dynamic scene through Deep Reinforcement Learning by Jiang, Haoge, Esfahani, Mahdi Abolfazli, Wu, Keyu, Wan, Kong-wah, Heng, Kuan-kian, Wang, Han, Jiang, Xudong

“…This paper proposes iTD3-CLN, a Deep Reinforcement Learning (DRL) based low-level motion controller, to achieve map-less autonomous navigation in dynamic scene. …”
Get full text

Bayesian updating of failure probability curves with multiple performance functions of nonlinear structural dynamic systems by Hao, Changyu, Cheung, Sai Hung

“…Significant computational savings are observed while the coefficient of variation of the failure probability estimators is kept at the same level.…”
Get full text

Decoupling analysis of brushless dual-mechanical-port dual-electrical-port machines by Cao, Libing, Zhou, You, Yang, Guanghui, He, Yaojie, Xie, Shuangchun, Lee, Christopher Ho Tin

“…In BLDD machines, two sets of windings are placed in the same stator, and care must be taken to avoid strong coupling that may deteriorate the machine performance and reliability. …”
Get full text

SEM model: cognitive function predicting activities of daily living and instrumental activities of daily living performance in older adults by Goh, Pei Swhen

“…The same goes for ADLs and IADLs where mostly a single index was used in assessing their performance. …”
Get full text

Small-signal neural models and their applications by Basu, Arindam

“…This paper introduces the use of the concept of small-signal analysis, commonly used in circuit design, for understanding neural models. …”
Get full text
Get full text

Cylindrical surfaces enable wavelength-selective extinction and sub-0.2 nm linewidth in 250 μm-gap silicon Fabry–Pérot cavities by Malak, Maurine, Marty, Frédéric, Pavy, Nicolas, Peter, Yves-Alain, Liu, Ai Qun, Bourouina, Tarik

“…In this paper, we propose two different designs of micromachined Fabry-Pérot optical cavities, with first motivation of improving the quality factor (Q -factor) and in the same time allowing increased cavity length L. …”
Get full text
Get full text

DRD-UNet, a UNet-like architecture for multi-class breast cancer semantic segmentation by Ortega-Ruíz, Mauricio Alberto, Karabağ, Cefa, Roman-Rangel, Edgar, Reyes-Aldasoro, Constantino Carlos

“…Tissue semantic segmentation is therefore important and at the same time a challenging and time-consuming task. …”
Get full text

SyROCCo: enhancing systematic reviews using machine learning by Fang, Z, Arana-Catania, M, van Lier, F-A, Outes Velarde, J, Bregazzi, H, Airoldi, M, Carter, E, Proctor, R

“…The sheer number of research outputs published every year makes systematic reviewing increasingly time- and resource-intensive. This paper explores the use of machine learning techniques to help navigate the systematic review process. …”