Results 61 to 70 of about 407 (177)

A Probability‐Aware AI Framework for Reliable Anti‐Jamming Communication

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Adversarial jamming attacks have increased on communication systems, causing distortion and threatening transmissions. Typical attacks rely on traditional, well‐defined cryptographic protocols and frequency‐hopping techniques. Nevertheless, these techniques become vulnerable when facing intelligent jammers.
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

Adolescent cannabis use and psychological distress from 2013 to 2023: A population‐based study in Ontario, Canada

Addiction, EarlyView.
Abstract Background and aims Epidemiologic research suggests that adolescent cannabis use is associated with psychological distress (i.e. depression and anxiety symptoms); however, most studies have relied on 20th‐century data, when cannabis was significantly less potent than today.
André J. McDonald, Amanda Doggett, Susan J. Bondy, Ian Colman, Steven Cook, Hayley A. Hamilton, Paul Kurdyak, Scott T. Leatherdale, Daniel T. Myran, Jürgen Rehm, Christine M. Wickens, James MacKillop, Jillian Halladay   +12 more
wiley   +1 more source

Unsupervised Contrastive Hashing With Autoencoder Semantic Similarity for Cross-Modal Retrieval in Remote Sensing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In large-scale multimodal remote sensing data archives, the application of cross-modal technology to achieve fast retrieval between different modalities has attracted great attention.
Na Liu, Guodong Wu, Yonggui Huang, Xi Chen, Qingdu Li, Lihong Wan   +5 more
doaj   +1 more source

Supervised Matrix Factorization Hashing for Cross-Modal Retrieval [PDF]

IEEE Transactions on Image Processing, 2016
The target of cross-modal hashing is to embed heterogeneous multimedia data into a common low-dimensional Hamming space, which plays a pivotal part in multimedia retrieval due to the emergence of big multimodal data. Recently, matrix factorization has achieved great success in cross-modal hashing.
Jun Tang, Ke Wang, Ling Shao
openaire   +4 more sources

Flow‐pattern evolution of the Scandinavian Ice Sheet indicated by the subglacial lineation record over Norway, Sweden and Finland

Boreas, EarlyView.
We present a 25‐stage reconstruction of the ice‐flow pattern evolution of the Scandinavian Ice Sheet based on mapping and analysis of ~240 000 subglacial lineations and lineation fields across Norway, Sweden, Finland, and parts of NW Russia. Our reconstruction uses a glacial geomorphological inversion approach, in which we generated 611 individual ...
Frances E. G. Butcher, Anna L. C. Hughes, Helen E. Dulfer, Christopher D. Clark, Jeremy C. Ely, Emma L. M. Lewington, Benjamin M. Boyes, Alex C. Scoffield, Stephen Howcutt, Christiaan R. Diemont   +9 more
wiley   +1 more source

Semi-Paired Asymmetric Deep Cross-Modal Hashing Learning

IEEE Access, 2020
Hashing has been effectively applied in large-scale multimedia retrieval tasks due to the characteristics of fast calculation speed and low storage cost. However, most existing cross-view hashing methods require well paired views, where one sample in one
Yi Wang, Xiaobo Shen, Zhenmin Tang, Tao Zhang, Jianyong Lv   +4 more
doaj   +1 more source

Scoping Review of Sexual and Gender Minority Health Research in Ireland

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To map existing sexual and gender minority (SGM) health research in Ireland, identify gaps in literature and outline priorities for future research and healthcare. SGM is an umbrella term that includes people who identify as lesbian, gay, bisexual, transgender, queer or intersex and is sometimes abbreviated as LGBTQI+.
John P. Gilmore, Tonda L. Hughes, Sean Kearns, Laurie A. Drabble, Diarmuid Stokes, Siobhán D. Thomas, Chris Noone, Lauren Bochicchio   +7 more
wiley   +1 more source

Deep Class-Guided Hashing for Multi-Label Cross-Modal Retrieval

Applied Sciences
Deep hashing has gained widespread attention in cross-modal retrieval due to its low cost and efficient retrieval advantages. However, existing cross-modal hashing methods either focus solely on exploring relationships between data points—which ...
Hao Chen, Zhuoyang Zou, Yiqiang Liu, Xinghui Zhu   +3 more
doaj   +1 more source

Cross-modality hashing with partial correspondence [PDF]

2015 IEEE International Conference on Image Processing (ICIP), 2015
Learning a hashing function for cross-media search is very desirable due to its low storage cost and fast query speed. However, the data crawled from Internet cannot always guarantee good correspondence among different modalities which affects the learning for hashing function.
Yun Gu, Haoyang Xue, Jie Yang, Pengfei Shi   +3 more
openaire   +1 more source

Waking a Dormant Legal Resource: Institutional Activation and the Origins of Important Projects of Common European Interest

JCMS: Journal of Common Market Studies, EarlyView.
ABSTRACT Important Projects of Common European Interest (IPCEIs) have become a central tool of the European Union's (EU) new industrial policy. IPCEIs derive their peculiar name from an exemption to the general prohibition on state aid that has existed since the Treaty of Rome but has only led to the creation of a stand‐alone policy instrument in 2014.
Timo Seidl, Henrique Lopes‐Valença
wiley   +1 more source