Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Jenhui Chen"'
Publikováno v:
IEEE Access, Vol 12, Pp 10186-10201 (2024)
The study addresses the limitations of traditional centrality measures in complex networks, especially in disease-spreading situations, due to their inability to fully grasp the intricate connection between a node’s functional importance and struct
Externí odkaz:
https://doaj.org/article/8b944a33614a44b094363d811f1f5099
Publikováno v:
Sensors, Vol 24, Iss 6, p 1844 (2024)
Identifying violent activities is important for ensuring the safety of society. Although the Transformer model contributes significantly to the field of behavior recognition, it often requires a substantial volume of data to perform well. Since exist
Externí odkaz:
https://doaj.org/article/4ac35501126d420db3cf3bf9d59d26c8
Autor:
Obinna Agbodike, Jenhui Chen
Publikováno v:
IEEE Access, Vol 11, Pp 99470-99480 (2023)
Images corrupted by snowy adverse weather can impose performance impediments to critical high-level vision-based applications. Restoring snow-degraded images is vital, but the task is ill-posed and very challenging due to the veiling effect, stochast
Externí odkaz:
https://doaj.org/article/2204eb65b01c4678aed786e47da2d854
Publikováno v:
IEEE Access, Vol 8, Pp 31045-31056 (2020)
A cyber-physical system (CPS) requires a time-bounded communication process for real-time interaction between the digital world and the physical world so that they can form a tight loop. Using the machine-type communication (MTC) protocol for a large
Externí odkaz:
https://doaj.org/article/c76fceb4f95f4fc2a9f1f9de9ea5a095
Autor:
Jenhui Chen, Ashu Abdul
Publikováno v:
IEEE Access, Vol 7, Pp 17750-17759 (2019)
In this paper, we investigate an attention function combined with the gated recurrent units (GRUs), named GRUA, to raise the accuracy of the customer preference prediction. The attention function extracts the important product features by using the t
Externí odkaz:
https://doaj.org/article/21533ab02e704dfb93b76828496ff9a7
Publikováno v:
Sensors, Vol 22, Iss 2, p 541 (2022)
Target tracking is a critical technique for localization in an indoor environment. Current target-tracking methods suffer from high overhead, high latency, and blind spots issues due to a large amount of data needing to be collected or trained. On th
Externí odkaz:
https://doaj.org/article/682af9350c6245b4813cdd80607bccd1
Publikováno v:
Applied Sciences, Vol 10, Iss 17, p 5819 (2020)
One of the important criteria used in judging the performance of a chatbot is the ability to provide meaningful and informative responses that correspond with the context of a user’s utterance. Nowadays, the number of enterprises adopting and relyi
Externí odkaz:
https://doaj.org/article/4fbba14888b440f5a7dea017391b7380
Publikováno v:
Applied Sciences, Vol 8, Iss 7, p 1103 (2018)
Recommending music based on a user’s music preference is a way to improve user listening experience. Finding the correlation between the user data (e.g., location, time of the day, music listening history, emotion, etc.) and the music is a challeng
Externí odkaz:
https://doaj.org/article/98a4a0e746664f27b83c59f725b06ad5
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
This study shows the problem of power saving mechanism (PSM) that sleep intervals of uplink (UL) connections do not synchronize with sleep intervals of downlink (DL) connections. That is, the energy of a mobile station (MS) is not really saved if the
Externí odkaz:
https://doaj.org/article/0243bf0537024d3bae2781cc8de924a6
Publikováno v:
PLoS ONE, Vol 9, Iss 8, p e103429 (2014)
In the fourth generation or next generation networks, services of non-real-time variable bit rate (NRT-VBR) and best effort (BE) will dominate over 85% of the total traffic in the networks. In this paper, we study the power saving mechanism of NRT-VB
Externí odkaz:
https://doaj.org/article/ab0a39e460074e17ab2e3388869ff545