Zobrazeno 1 - 10
of 16 301
pro vyhledávání: '"A., Aliyu"'
Autor:
Rashid, Sulaiman Muhammad, Aliyu, Ibrahim, Isah, Abubakar, Lee, Jihoon, Oh, Sangwon, Hahn, Minsoo, Kim, Jinsul
This paper presents an approach to joint wireless and computing resource management in slice-enabled metaverse networks, addressing the challenges of inter-slice and intra-slice resource allocation in the presence of in-network computing. We formulat
Externí odkaz:
http://arxiv.org/abs/2411.04561
Monolingual data, being readily available in large quantities, has been used to upscale the scarcely available parallel data to train better models for automatic translation. Self-learning, where a model is made to learn from its output, is one appro
Externí odkaz:
http://arxiv.org/abs/2410.13783
Today, children across Africa are at a growing risk from the Internet. Dangers include harmful content, violence, exploitation, abuse, and neglect. All these have increased due to increased mobile and Internet technology use, which not only places th
Externí odkaz:
http://arxiv.org/abs/2409.13159
Multimodal aspect-based sentiment analysis (MABSA) enhances sentiment detection by combining text with other data types like images. However, despite setting significant benchmarks, attention mechanisms exhibit limitations in efficiently modelling lo
Externí odkaz:
http://arxiv.org/abs/2408.15379
Aspect-based Sentiment Analysis (ABSA) evaluates sentiments toward specific aspects of entities within the text. However, attention mechanisms and neural network models struggle with syntactic constraints. The quadratic complexity of attention mechan
Externí odkaz:
http://arxiv.org/abs/2407.10347
Autor:
Kuwanto, Garry, Urua, Eno-Abasi E., Amuok, Priscilla Amondi, Muhammad, Shamsuddeen Hassan, Aremu, Anuoluwapo, Otiende, Verrah, Nanyanga, Loice Emma, Nyoike, Teresiah W., Akpan, Aniefon D., Udouboh, Nsima Ab, Archibong, Idongesit Udeme, Moses, Idara Effiong, Ige, Ifeoluwatayo A., Ajibade, Benjamin, Awokoya, Olumide Benjamin, Abdulmumin, Idris, Aliyu, Saminu Mohammad, Iro, Ruqayya Nasir, Ahmad, Ibrahim Said, Smith, Deontae, Michaels, Praise-EL, Adelani, David Ifeoluwa, Wijaya, Derry Tanti, Andy, Anietie
Publikováno v:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) 11349-11360
Low-resource languages often face challenges in acquiring high-quality language data due to the reliance on translation-based methods, which can introduce the translationese effect. This phenomenon results in translated sentences that lack fluency an
Externí odkaz:
http://arxiv.org/abs/2407.10152
This paper addresses the challenge of representing complex human action (HA) in a nuclear power plant (NPP) digital twin (DT) and minimizing latency in partial computation offloading (PCO) in sixth-generation-enabled computing in the network (COIN) a
Externí odkaz:
http://arxiv.org/abs/2407.12011
Fifth-generation (5G) core networks in network digital twins (NDTs) are complex systems with numerous components, generating considerable data. Analyzing these data can be challenging due to rare failure types, leading to imbalanced classes in multic
Externí odkaz:
http://arxiv.org/abs/2406.06595
The proliferation of online offensive language necessitates the development of effective detection mechanisms, especially in multilingual contexts. This study addresses the challenge by developing and introducing novel datasets for offensive language
Externí odkaz:
http://arxiv.org/abs/2406.02169
Autor:
Ahmad, Ibrahim Said, Aliyu, Lukman Jibril, Khalid, Abubakar Auwal, Aliyu, Saminu Muhammad, Muhammad, Shamsuddeen Hassan, Abdulmumin, Idris, Abduljalil, Bala Mairiga, Bello, Bello Shehu, Abubakar, Amina Imam
Numerous successes have been achieved in combating the COVID-19 pandemic, initially using various precautionary measures like lockdowns, social distancing, and the use of face masks. More recently, various vaccinations have been developed to aid in t
Externí odkaz:
http://arxiv.org/abs/2401.13133