Zobrazeno 1 - 10
of 120
pro vyhledávání: '"synthetic minority over-sampling technique (SMOTE)"'
Autor:
Sheikh Muhammad Saqib, Tehseen Mazhar, Muhammad Iqbal, Tariq Shahazad, Ahmad Almogren, Khmaies Ouahada, Habib Hamam
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35167- (2024)
In developing countries, smart grids are nonexistent, and electricity theft significantly hampers power supply. This research introduces a lightweight deep-learning model using monthly customer readings as input data. By employing careful direct and
Externí odkaz:
https://doaj.org/article/8db7021669b842e18fc69bb930c07976
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 2, Pp 431-452 (2024)
Water quality assessment plays a crucial role in various aspects, including human health, environmental impact, agricultural productivity, and industrial processes. Machine learning (ML) algorithms offer the ability to automate water quality evaluati
Externí odkaz:
https://doaj.org/article/8c9d081b7ef64f759fd14e7e477e7a80
Publikováno v:
Healthcare Analytics, Vol 5, Iss , Pp 100346- (2024)
Diabetic retinopathy (DR) is a severe global issue causing blindness if untreated, affecting millions worldwide and worsening over time. Addressing this growing concern necessitates early and accurate DR identification. This study introduces a novel
Externí odkaz:
https://doaj.org/article/9427433b82d94693968bfb255120eff3
Publikováno v:
JISKA (Jurnal Informatika Sunan Kalijaga), Vol 9, Iss 2 (2024)
Metabolic syndrome is a complex global health problem, with symptoms such as abdominal obesity, insulin resistance, high blood pressure, high blood sugar, and abnormal blood lipids. With this global challenge, several studies have attempted to predic
Externí odkaz:
https://doaj.org/article/f56163cd3f3f4b489f2d0f8ee61872c8
Publikováno v:
Information, Vol 15, Iss 8, p 478 (2024)
In the cybersecurity industry, where legitimate transactions far outnumber fraudulent ones, detecting fraud is of paramount significance. In order to evaluate the accuracy of detecting fraudulent transactions in imbalanced real datasets, this study c
Externí odkaz:
https://doaj.org/article/2f6526ab7a6443a98dcea95d2e70a2f4
Publikováno v:
Jurnal Teknologi Informasi dan Ilmu Komputer, Vol 10, Iss 7 (2023)
Kepribadian Myers-Briggs Type Indicator ( MBTI ) telah menjadi topik populer dalam memahami karakteristik individu dan dampaknya pada interaksi sosial, karir, dan pengambilan keputusan. Model Machine Learning dengan algoritma Naive Bayes Classifier s
Externí odkaz:
https://doaj.org/article/51c950ac7a534b3780825d97a2e35316
Autor:
Muhammad Hassan Jamal, Naila Naz, Muazzam A. Khan Khattak, Faisal Saeed, Saad Nasser Altamimi, Sultan Noman Qasem
Publikováno v:
IEEE Access, Vol 11, Pp 127446-127457 (2023)
The increasing dependence on data analytics and artificial intelligence (AI) methodologies across various domains has prompted the emergence of apprehensions over data security and integrity. There exists a consensus among scholars and experts that t
Externí odkaz:
https://doaj.org/article/018c455fcb124ff5880c0e57de34fdbb
Publikováno v:
Healthcare, Vol 12, Iss 7, p 713 (2024)
Early identification of children with neurodevelopmental abnormality is a major challenge, which is crucial for improving symptoms and preventing further decline in children with neurodevelopmental abnormality. This study focuses on developing a pred
Externí odkaz:
https://doaj.org/article/a20ae7b773774022af28f9691bbea0b1
Publikováno v:
Sensors, Vol 24, Iss 1, p 127 (2023)
In the context of 6G technology, the Internet of Everything aims to create a vast network that connects both humans and devices across multiple dimensions. The integration of smart healthcare, agriculture, transportation, and homes is incredibly appe
Externí odkaz:
https://doaj.org/article/c24502a056d44bdf907ca673458ce73d
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.