Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Lawan, Adamu"'
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
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
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
Detecting objects across various scales remains a significant challenge in computer vision, particularly in tasks such as Rice Leaf Disease (RLD) detection, where objects exhibit considerable scale variations. Traditional object detection methods oft
Externí odkaz:
http://arxiv.org/abs/2402.16291
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:
Muhammad Mustapha, Yusuf Audu, Kingsley Uwakwe Ezema, Jafar Umar Abdulkadir, Jallailudeen Rabana Lawal, Arhyel Gana Balami, Lawan Adamu, Yachilla Maryam Bukar-Kolo
Publikováno v:
Macedonian Veterinary Review, Vol 44, Iss 1, Pp 47-53 (2021)
Diarrhea caused by multidrug-resistant Escherichia coli (E. coli) is an important and common problem in companion animals, especially dogs. Moreover, these dogs may serve as a reservoir of pathogenic strains of E. coli that may cause enteric and extr
Externí odkaz:
https://doaj.org/article/62c6439300424334a84d0331496a4d3c
Autor:
Usman Muhammad Ibrahim, Auwal Umar Gajida, Rayyan Muhammad Garba, Muktar Ahmed Gadanya, Amina Abdullahi Umar, Rabiu Ibrahim Jalo, Aishatu Lawan Adamu, Fatimah Ismai, Tsiga-Ahmed, Dalha Halliru Gwarzo, Kabiru Abdussalam, Abba Ahmed Danzomo, Muhammed Sani Aliyu, Abubakar Mohammed Jibo
Publikováno v:
Nigerian Postgraduate Medical Journal, Vol 28, Iss 2, Pp 94-101 (2021)
Background: Poor compliance with recommended hand hygiene practise by health-care workers is an emerging public health threat associated with significant morbidity, mortality and spread of multidrug-resistant microorganisms. Objective: This study ass
Externí odkaz:
https://doaj.org/article/a181d12c57364ab89f0be467936c0cab
Publikováno v:
International Journal of Equine Science, Vol 1, Iss 1, Pp 11–15-11–15 (2022)
Long-duration activities, such as endurance races, cause significant changes in hematological and biochemical components as a result of central and peripheral exhaustion. The aim of the present study was to assess the physical health status as well a
Externí odkaz:
https://doaj.org/article/7eb806eed065485db4ac7057cb519c77