Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yunusa Haruna"'
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
Crop field detection is a critical component of precision agriculture, essential for optimizing resource allocation and enhancing agricultural productivity. This study introduces KonvLiNA, a novel framework that integrates Convolutional Kolmogorov-Ar
Externí odkaz:
http://arxiv.org/abs/2408.13160
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1346 (2023)
The lack of large balanced datasets in the agricultural field is a glaring problem for researchers and developers to design and train optimal deep learning models. This paper shows that using synthetic data augmentation outperforms the standard metho
Externí odkaz:
https://doaj.org/article/fff145576f304cddbb684b779b223573
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
The recent emergence of hybrid models has introduced another transformative approach to solving computer vision tasks, slowly shifting away from conventional CNN (Convolutional Neural Network) and ViT (Vision Transformer). However, not enough effort
Externí odkaz:
http://arxiv.org/abs/2407.07603
Malaria is a life-threatening infectious disease caused by Plasmodium parasites, which poses a significant public health challenge worldwide, particularly in tropical and subtropical regions. Timely and accurate detection of malaria parasites in bloo
Externí odkaz:
http://arxiv.org/abs/2405.14242
Aspect-Based Sentiment Analysis (ABSA) is increasingly crucial in Natural Language Processing (NLP) for applications such as customer feedback analysis and product recommendation systems. ABSA goes beyond traditional sentiment analysis by extracting
Externí odkaz:
http://arxiv.org/abs/2405.13013
Autor:
Yunusa, Haruna, Qin, Shiyin, Chukkol, Abdulrahman Hamman Adama, Yusuf, Abdulganiyu Abdu, Bello, Isah, Lawan, Adamu
The hybrid of Convolutional Neural Network (CNN) and Vision Transformers (ViT) architectures has emerged as a groundbreaking approach, pushing the boundaries of computer vision (CV). This comprehensive review provides a thorough examination of the li
Externí odkaz:
http://arxiv.org/abs/2402.02941
Autor:
Seren Başaran, Yunusa Haruna
Publikováno v:
Procedia Computer Science. 120:91-98
Growing number of mobile learning applications particularly for mathematics (MLAM) have dramatically changed the way individuals learn mathematics in recent years. However, due to abundant number of applications, MLAM users encounter with difficulty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c89fba3af9ceb249b4eb80a5ab6ecfe0
https://doi.org/10.1016/j.procs.2017.11.214
https://doi.org/10.1016/j.procs.2017.11.214
Autor:
Olufemi Fasanmade, SA Abubakar, Garba Yunusa Haruna, Sandra O. Iwuala, Anas Ahmad Sabir, AE Ohwovoriole
Publikováno v:
Sub-Saharan African Journal of Medicine. 1:142
Background: The diagnosis of thyrotoxicosis is based on clinical suspicion and confirmed by thyroid function test. In Nigeria, measurements of thyroid function tests are not readily available therefore the need for clinical assessment remains paramou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6af2e883a70f9892534cf4f658059b62
https://doi.org/10.4103/2384-5147.138944
https://doi.org/10.4103/2384-5147.138944