Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 1–3 dari 3 artikel
Fake News Detection Using Bi-LSTM Architecture: A Deep Learning Approach on the ISOT Dataset
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
The proliferation of fake news across digital platforms has raised critical concerns about information reliability. A notable example is the viral rumour falsely claiming that the Nigerian Minister of the Federal Capital Territory, Nyesom Wike, had collapsed at an event and was rushed to an undisclosed hospital an entirely fabricated claim that caused public confusion. While both traditional machine learning and deep learning approaches have been explored for automated fake news detection, many...
Sumber Asli
Google Scholar
DOI
A Comparative Analysis of an Enhanced Hybrid Model for Predicting Dollar Against Naira Exchange Rate Using Deep Learning and Statistical Methods
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
In today’s global economy, accurately predicting foreign exchange rates or estimating their trends correctly is crucial for informed investment decisions. Despite the success of standalone models like ARIMA and deep learning models like LSTM, challenges persist in capturing both linear and nonlinear dynamics in highly volatile exchange rate environments. Motivated by the limitations of these individual models and the need for more robust forecasting tools, this study proposes a hybrid ARIMA-LSTM...
Sumber Asli
Google Scholar
DOI
Prospects and Legal Challenges Regarding Intellectual Property Rights in Metaverse Operations in Nigeria
Aidonojie, Paul Atagamen
; Eregbuonye, Obieshi
; Ibeh, Success
; Antai, Godswill Owoche
; Kolawale, Adesoji Adebayo
Wacana Hukum
Vol 30
, No 2
(2024)
The Metaverse concept is regarded as a virtual reality where the lines between imagination and reality interact and blend with ease. However, the Metaverse concept tends to seem promising not just a digital revolution but an entire universe of immersive encounters. However, despite the relevance and potential, there are challenges and potential conflicts arising from integrating Metaverse technologies with the traditional legal frameworks governing intellectual property in Nigeria. Concerning th...
Sumber Asli
Google Scholar
DOI