Results 161 to 170 of about 16,095 (267)

A Dynamic Correlation‐Information‐Fusion‐Based Spatiotemporal Network for Traffic Flow Forecasting

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Traffic Flow Forecasting (TFF) is a foundational task in the development of Intelligent Transport Systems (ITSs). The primary challenge is to undertake a comprehensive exploration of the intrinsic dynamic spatiotemporal correlations of the road network, unveiling the long‐term evolutionary traffic trends.
Dawen Xia, Zhan Lin, Xingyan Wang, Ruixi Huang, Jinhui Hu, Yang Hu, Huaqing Li   +6 more
wiley   +1 more source

Water inrush characteristics and hazard effects during the transition from open-pit to underground mining: a case study. [PDF]

R Soc Open Sci, 2019
Zhang H, Zhang B, Xu N, Shi L, Wang H, Lin W, Ye Y.   +6 more
europepmc   +1 more source

On Underground Mine Communication Systems

Proceedings of the 26th International Conference on Distributed Computing and Networking
Saikat Chandra Bakshi, Gopal Chandra Roy, Eravelli Saicharan, E. Parvathi   +3 more
openaire   +1 more source

Prospects for Developing Compressed Air Energy Storage in Saudi Arabia

IET Smart Energy Systems, EarlyView.
Under Saudi Arabia's Vision 2030, this paper analyses the supporting role of Compressed Air Energy Storage in high‐penetration renewable energy systems and, in light of the local geological resources and grid conditions, demonstrates its feasibility for deployment and future development prospects.
Mingzhong Wan, Jun Li, Xiaoping Wang, Size Li, Jingcui Li, Priyank Lathwal, Zhide Zhu   +6 more
wiley   +1 more source

Asymmetric niche partitioning in large omnivores in response to anthropogenic disturbances within subarctic ecosystems

Journal of Animal Ecology, EarlyView.
Anthropogenic disturbances associated with mineral extraction influenced space use and activity patterns in grizzly bears, and to a much lesser extent in black bears, in a subarctic ecosystem, signalling an asymmetric response. Abstract Niche partitioning is an evolutionary process that allows the coexistence of multiple species in a landscape. However,
Ludovick Brown, Chrystal Mantyka‐Pringle, Joël Potié, Pascale Savage, Megan Hornseth, Jason T. Fisher   +5 more
wiley   +1 more source

Making the Intangible Tangible: Organizational Capital and Stock Liquidity

British Journal of Management, EarlyView.
Abstract We propose an intangibility‐driven stock liquidity hypothesis and explore the role of organizational capital in influencing stock liquidity. Using a sample of 42,682 firm‐year observations, we uncover compelling evidence that firms' intangible organizational capital boosts stock liquidity.
Prem Puwanenthiren, Md Samsul Alam, Shehub Bin Hasan, Sivathaasan Nadarajah   +3 more
wiley   +1 more source

Conceptual colour: race, economic knowledge, and the anthropology of financialization De la couleur comme concept : race, connaissances économiques et anthropologie de la financiarisation

Journal of the Royal Anthropological Institute, EarlyView.
Economic anthropologists now carry out fieldwork in settings for which the ethnographic method was never designed, amongst powerful financial actors who are notoriously difficult to access, and in contexts which transcend geographical boundaries. This has engendered a re‐orientation of anthropology, to consider not only the economic lives of people but
Kimberly Chong
wiley   +1 more source

The Underground Mining Method at Akenobe Mine

Journal of the Mining Institute of Japan, 1957
openaire   +2 more sources

Entwined Liberations: North Korean Democratic Women's Union and Third World Internationalism, 1945–1949

Gender &History, EarlyView.
ABSTRACT This research focuses on how the North Korean Democratic Women's Union (NKDWU), the umbrella women's organisation in North Korea formed soon after Korea's liberation from Japanese colonial rule in 1945, forged international leftist women's solidarity during the North Korean state's liminal, revolutionary period (1945–1949).
Taejin Hwang
wiley   +1 more source

From Estimation to Discrimination: Algorithmic Bias, Predictive Uncertainty, and Anti‐Discrimination Law

The Modern Law Review, EarlyView.
Machine learning (ML) systems, increasingly deployed in high‐stakes decision‐making, inherently produce uncertain outputs that can lead to unlawful discrimination. This article provides the first legal analysis of how predictive uncertainty in ML systems interacts with UK anti‐discrimination law under the Equality Act 2010.
Holli Sargeant
wiley   +1 more source