Zobrazeno 1 - 10
of 459
pro vyhledávání: '"Wang Qingyue"'
Autor:
Christian Ebere Enyoh, Wang Qingyue
Publikováno v:
Cambridge Prisms: Plastics, Vol 2 (2024)
Multicomponent systems are representative of the most common real situations as many industrial discharges contain a mixture of several pollutants. This study examines the concurrent adsorption of phenol (PHE) and ciprofloxacin (CIP) onto three types
Externí odkaz:
https://doaj.org/article/74729764a98540cdb0a8105478898b40
Autor:
Christian Ebere Enyoh, Andrew Wirnkor Verla, Wang Qingyue, Dipak Kumar Yadav, Md Akhter Hossain Chowdhury, Beniah Obinna Isiuku, Tanzin Chowdhury, Francis Chizoruo Ibe, Evelyn Ngozi Verla, Tochukwu Oluwatosin Maduka
Publikováno v:
Jurnal Teknologi Laboratorium, Vol 9, Iss 1, Pp 67-77 (2020)
This review chronicles the indirect transmission method which seems to be overlooked by most people and makes attempts to document the various transmission ways with a hope that such information may strengthen the knowledge base of researchers toward
Externí odkaz:
https://doaj.org/article/4af24f621e584fdfa63b462e30827f22
Autor:
Andrew Wirnkor Verla, Christian Ebere Enyoh, Isiuku Beniah Obinna, Evelyn Ngozi Verla, Wang Qingyue, Md. Akhter Hossain Chowdhury, Emmanuel Chinedu Enyoh, Tanzin Chowdhury
Publikováno v:
AIMS Environmental Science, Vol 7, Iss 6, Pp 526-541 (2020)
Plastics in agricultural soils are of current concern to environmental scientist due to potential effects on soil-plant system and food security. In this study, the effect of macro- and micro- sized plastic types of low density polyethylene (LDPE), p
Externí odkaz:
https://doaj.org/article/31f445eb388347d58a213a5824209b3d
Autor:
Tanzin Chowdhury, Md. Akhter Hossain Chowdhury, Wang Qingyue, Christian Ebere Enyoh, Weiqian Wang, Md. Sirajul Islam Khan
Publikováno v:
Heliyon, Vol 7, Iss 7, Pp e07464- (2021)
Aloe vera had been used for numerous medical and cosmetic applications since ancient times. The study aimed to investigate the integrated effects of inorganic fertilizer (IF) and poultry manure (PM) on the nutritional and pharmaceutical constituents
Externí odkaz:
https://doaj.org/article/a1d22c4f00b24a8795477698b967b22d
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios
A connectional brain template (CBT) is a holistic representation of a population of multi-view brain connectivity graphs, encoding shared patterns and normalizing typical variations across individuals. The federation of CBT learning allows for an inc
Externí odkaz:
http://arxiv.org/abs/2403.09139
Autor:
Md. Akhter Hossain Chowdhury, Taslima Sultana, Md. Arifur Rahman, Tanzin Chowdhury, Christian Ebere Enyoh, Biplob Kumar Saha, Wang Qingyue
Publikováno v:
Heliyon, Vol 6, Iss 12, Pp e05718- (2020)
Aloe vera L. is widely cultivated in many countries due to its importance as an all-purpose herbal or medicinal plant. The growth and yield of this plant can be enhanced by application of fertilizer. It is expected that a higher and balanced nutrient
Externí odkaz:
https://doaj.org/article/46847460186b4236b2464581cf34ed7f
Human de-occlusion, which aims to infer the appearance of invisible human parts from an occluded image, has great value in many human-related tasks, such as person re-id, and intention inference. To address this task, this paper proposes a dynamic ma
Externí odkaz:
http://arxiv.org/abs/2402.04558
Speech emotion recognition (SER) performance deteriorates significantly in the presence of noise, making it challenging to achieve competitive performance in noisy conditions. To this end, we propose a multi-level knowledge distillation (MLKD) method
Externí odkaz:
http://arxiv.org/abs/2312.13556
Recently, large language models (LLMs), such as GPT-4, stand out remarkable conversational abilities, enabling them to engage in dynamic and contextually relevant dialogues across a wide range of topics. However, given a long conversation, these chat
Externí odkaz:
http://arxiv.org/abs/2308.15022
Autor:
Wang, Qingyue, Ding, Liang, Cao, Yanan, Zhan, Yibing, Lin, Zheng, Wang, Shi, Tao, Dacheng, Guo, Li
Zero-shot transfer learning for Dialogue State Tracking (DST) helps to handle a variety of task-oriented dialogue domains without the cost of collecting in-domain data. Existing works mainly study common data- or model-level augmentation methods to e
Externí odkaz:
http://arxiv.org/abs/2306.00434