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An approach for 2-tuple linguistic q-rung orthopair fuzzy MAGDM for the evaluation of historical sites with power Heronian mean
An approach for 2-tuple linguistic q-rung orthopair fuzzy MAGDM for the evaluation of historical sites with power Heronian mean
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An approach for 2-tuple linguistic q-rung orthopair fuzzy MAGDM for the evaluation of historical sites with power Heronian mean

Naz, Sumera ; Shafiq, Aqsa ; Abbas, Maheen

The Journal of supercomputing, 2024-03, Vol.80 (5), p.6435-6485 [Peer Reviewed Journal]

New York: Springer US

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2
User Experience Re-Mastered: Your Guide to Getting the Right Design
User Experience Re-Mastered: Your Guide to Getting the Right Design
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User Experience Re-Mastered: Your Guide to Getting the Right Design

Wilson, Chauncey

San Diego: Elsevier Science 2009

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3
RIdeogram : drawing SVG graphics to visualize and map genome-wide data on the idiograms
RIdeogram : drawing SVG graphics to visualize and map genome-wide data on the idiograms
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RIdeogram : drawing SVG graphics to visualize and map genome-wide data on the idiograms

Hao, Zhaodong ; Lv, Dekang ; Ge, Ying ; Shi, Jisen ; Weijers, Dolf ; Yu, Guangchuang ; Chen, Jinhui

PeerJ. Computer science, 2020-01, Vol.6, p.e251-e251, Article e251 [Peer Reviewed Journal]

United States: PeerJ. Ltd

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An efficient networking solution for extending and controlling wireless sensor networks using low-energy technologies
An efficient networking solution for extending and controlling wireless sensor networks using low-energy technologies
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An efficient networking solution for extending and controlling wireless sensor networks using low-energy technologies

Labib, Mostafa Ibrahim ; ElGazzar, Mohamed ; Ghalwash, Atef ; AbdulKader, Sarah Nabil

PeerJ. Computer science, 2021-11, Vol.7, p.e780-e780, Article e780 [Peer Reviewed Journal]

United States: PeerJ. Ltd

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5
An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites
An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites
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An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites

Pasqualino, Giovanni ; Furnari, Antonino ; Signorello, Giovanni ; Farinella, Giovanni Maria

Image and vision computing, 2021-03, Vol.107, p.104098, Article 104098 [Peer Reviewed Journal]

Elsevier B.V

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6
An interpretable deep learning model predicts RNA–small molecule binding sites
An interpretable deep learning model predicts RNA–small molecule binding sites
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An interpretable deep learning model predicts RNA–small molecule binding sites

Xi, Wenyu ; Wang, Ruheng ; Wang, Li ; Ye, Xiucai ; Liu, Mingyang ; Sakurai, Tetsuya

Future generation computer systems, 2024-10, Vol.159, p.557-566 [Peer Reviewed Journal]

Elsevier B.V

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7
Cooperative Edge Caching Based on Temporal Convolutional Networks
Cooperative Edge Caching Based on Temporal Convolutional Networks
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Cooperative Edge Caching Based on Temporal Convolutional Networks

Zhang, Xu ; Qi, Zhengnan ; Min, Geyong ; Miao, Wang ; Fan, Qilin ; Ma, Zhan

IEEE transactions on parallel and distributed systems, 2022-09, Vol.33 (9), p.2093-2105 [Peer Reviewed Journal]

IEEE

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8
End-to-End Latent Fingerprint Search
End-to-End Latent Fingerprint Search
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End-to-End Latent Fingerprint Search

Cao, Kai ; Nguyen, Dinh-Luan ; Tymoszek, Cori ; Jain, Anil K.

IEEE transactions on information forensics and security, 2020, Vol.15, p.880-894 [Peer Reviewed Journal]

IEEE

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9
Adversarial Human Trajectory Learning for Trip Recommendation
Adversarial Human Trajectory Learning for Trip Recommendation
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Adversarial Human Trajectory Learning for Trip Recommendation

Gao, Qiang ; Zhou, Fan ; Zhang, Kunpeng ; Zhang, Fengli ; Trajcevski, Goce

IEEE transaction on neural networks and learning systems, 2023-04, Vol.34 (4), p.1764-1776

United States: IEEE

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10
Efficient Spiking Neural Networks With Radix Encoding
Efficient Spiking Neural Networks With Radix Encoding
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Efficient Spiking Neural Networks With Radix Encoding

Wang, Zhehui ; Gu, Xiaozhe ; Goh, Rick Siow Mong ; Zhou, Joey Tianyi ; Luo, Tao

IEEE transaction on neural networks and learning systems, 2024-03, Vol.35 (3), p.1-13

United States: IEEE

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