Bank Soundness Level Prediction: ANFIS vs Deep Learning
SN Maharani, B Sugeng… - Journal of Applied …, 2023 - bright-journal.org
The systemic nature of the risk of bankruptcy of financial institutions has become an
important issue in maintaining the existence and stability of domestic and global finance …
important issue in maintaining the existence and stability of domestic and global finance …
Mean-Median Smoothing Backpropagation Neural Network to Forecast Unique Visitors Time Series of Electronic Journal
Sessions or unique visitors is the number of visitors from one IP who accessed a journal
portal for the first time in a certain period of time. The large number of unique daily average …
portal for the first time in a certain period of time. The large number of unique daily average …
Hybrid Fourier Descriptor Naïve Bayes dan CNN pada Klasifikasi Daun Herbal
SP Backar, P Purnawansyah… - Jurnal Informatika …, 2023 - ejournal.poltekharber.ac.id
Plants are vital to human life on earth, and the leaves and their whole parts have many
benefits. These parts of the plant can help distinguish between different species. The leaf …
benefits. These parts of the plant can help distinguish between different species. The leaf …
Stock Price Forecasting with Multivariate Time Series Long Short-Term Memory: A Deep Learning Approach
Stocks with their inherent complexity and dynamic nature influenced by a multitude of
external and internal factors, play a crucial role in investment analysis and trend prediction …
external and internal factors, play a crucial role in investment analysis and trend prediction …
[HTML][HTML] Long Short-Term Memory vs Gated Recurrent Unit: A Literature Review on the Performance of Deep Learning Methods in Temperature Time Series …
Temperature forecasting is a crucial aspect of meteorology and climate change studies, but
challenges arise due to the complexity of time series data involving seasonal patterns and …
challenges arise due to the complexity of time series data involving seasonal patterns and …
Capability of Hybrid Long Short-Term Memory in Stock Price Prediction: A Comprehensive Literature Review.
A Ma'arif, AA Firdaus, I Suwarno - International Journal of …, 2024 - search.ebscohost.com
Stocks are financial instruments representing ownership in a company. They provide
holders with rights to a portion of the company's assets and earnings. The stock market …
holders with rights to a portion of the company's assets and earnings. The stock market …
Implementasi Algoritma Neural Network Untuk Memprediksi Harga Bawang Merah Di Kabupaten Bima
PL Lokapitasari, H Darwis - Buletin Sistem Informasi dan …, 2023 - 103.133.36.110
Bawang merah merupakan tanaman holtikultura yang berpotensi tinggi terhadap
perubahan harga sehingga sangat fluktuatif bagi petani maupun konsumen dan juga …
perubahan harga sehingga sangat fluktuatif bagi petani maupun konsumen dan juga …
Segmentation and Feature Extraction for Malaria Detection in Blood Smears
N Rismayanti - … Journal of Artificial Intelligence in Medical …, 2024 - jurnal.yoctobrain.org
Malaria remains a critical global health challenge, particularly in tropical and subtropical
regions. Early and accurate diagnosis is essential for effective treatment and control …
regions. Early and accurate diagnosis is essential for effective treatment and control …
Predictive Modeling of Graduation Outcomes in Islamic Boarding Schools Using Feedforward Neural Networks
MSAA Lubis, TS Gunawan - Proceeding of …, 2024 - prosiding-icostec.respati.ac.id
Abstract Pondok Pesantren Nuur Ar Radhiyyah is an Islamic boarding school that places
significant emphasis on Quranic memorization, practical religious practices (ibadah …
significant emphasis on Quranic memorization, practical religious practices (ibadah …
Seasonal and Trend Forecasting of COVID-19 Cases Using Deep Learning
The COVID-19 pandemic had created new challenges for scientists. Forecasting the number
of new contaminated cases and deaths is crucial to optimize resource usage and prevent …
of new contaminated cases and deaths is crucial to optimize resource usage and prevent …