Zobrazeno 1 - 10
of 202
pro vyhledávání: '"M.F. Mridha"'
Autor:
Md. Khairul Alam Mazumder, Md Mohsin Kabir, Ashifur Rahman, Md. Abdullah-Al-Jubair, M.F. Mridha
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35625- (2024)
Plant leaf diseases are a significant concern in agriculture due to their detrimental impact on crop productivity and food security. Effective disease management depends on the early and accurate detection and diagnosis of these conditions, facilitat
Externí odkaz:
https://doaj.org/article/2f3c5d8526e0441b9dc555dfcc4bace9
Autor:
Noor Mairukh Khan Arnob, A. Faiyaz, Md Mubtasim Fuad, Shah Murtaza Rashid Al Masud, Baivab Das, M.F. Mridha
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110690- (2024)
The Languages of the Indian subcontinent are less represented in current NLP literature. To mitigate this gap, we present the IndicDialogue dataset, which contains subtitles and dialogues in 10 major Indic languages: Hindi, Bengali, Marathi, Telugu,
Externí odkaz:
https://doaj.org/article/da600f40bc6345d8bb722b6eed7ef354
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34063- (2024)
Many studies have shown that ergonomically designed furniture improves productivity and well-being. As computers have become a part of students' academic lives, they will continue to grow in the future. We propose anthropometric-based furniture dimen
Externí odkaz:
https://doaj.org/article/a3706de181864a5fb57753e36a545947
Publikováno v:
Healthcare Analytics, Vol 5, Iss , Pp 100340- (2024)
Data augmentation involves artificially expanding a dataset by applying various transformations to the existing data. Recent developments in deep learning have advanced data augmentation, enabling more complex transformations. Especially vital in the
Externí odkaz:
https://doaj.org/article/60504dd11a3e48d3a485188520293a3f
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110462- (2024)
The “Tea Leaf Age Quality” dataset represents a pioneering agricultural and machine-learning resource to enhance tea leaf classification, detection, and quality prediction based on leaf age. This comprehensive collection includes 2208 raw images
Externí odkaz:
https://doaj.org/article/c978372f10114971af2033614a4de49d
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110239- (2024)
This study presents a large multi-modal Bangla YouTube clickbait dataset consisting of 253,070 data points collected through an automated process using the YouTube API and Python web automation frameworks. The dataset contains 18 diverse features cat
Externí odkaz:
https://doaj.org/article/838388e77d854975af410aae541e6aef
Autor:
Mohammad Imtiaz Nakib, M.F. Mridha
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110182- (2024)
Plant diseases pose a significant obstacle to global agricultural productivity, impacting crop quality yield and causing substantial economic losses for farmers. Watermelon, a commonly cultivated succulent vine plant, is rich in hydration and essenti
Externí odkaz:
https://doaj.org/article/b517011dcace4c6591cb8516a1b66408
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26801- (2024)
Chest radiography is an essential diagnostic tool for respiratory diseases such as COVID-19, pneumonia, and tuberculosis because it accurately depicts the structures of the chest. However, accurate detection of these diseases from radiographs is a co
Externí odkaz:
https://doaj.org/article/17b14de3d0cc4c4fb42933336076419d
Autor:
Md. Eshmam Rayed, S.M. Sajibul Islam, Sadia Islam Niha, Jamin Rahman Jim, Md Mohsin Kabir, M.F. Mridha
Publikováno v:
Informatics in Medicine Unlocked, Vol 47, Iss , Pp 101504- (2024)
Image segmentation, a crucial process of dividing images into distinct parts or objects, has witnessed remarkable advancements with the emergence of deep learning (DL) techniques. The use of layers in deep neural networks, like object form recognitio
Externí odkaz:
https://doaj.org/article/9c292b3c5a85463c99a52f21a991239d
Publikováno v:
Journal of Agriculture and Food Research, Vol 14, Iss , Pp 100880- (2023)
Agriculture plays a vital role in feeding the growing global population. But optimizing crop production and resource management remains a significant challenge for farmers. This research paper proposes an innovative ML-enabled IoT device to monitor s
Externí odkaz:
https://doaj.org/article/2736e55795754ef9bd1becb7505a416a