Results 41 to 50 of about 6,623 (127)
This systematic review and meta‐regression compared the performance of statistical, machine learning, and hybrid models in forecasting tuberculosis (TB) incidence. The study followed PRISMA 2020 guidelines and included studies published between 2010 and 2024. Hybrid models, particularly ARIMA‐LSTM, demonstrated superior forecasting accuracy compared to
Dip Bahadur Singh +5 more
wiley +1 more source
Comparisons of univariate SARIMA models.
Comparisons of univariate SARIMA models.
Hongyan Ren (105905) +5 more
core +1 more source
Hybrid Machine Learning Models for Forecasting Surgical Case Volumes at a Hospital
Recent developments in machine learning and deep learning have led to the use of multiple algorithms to make better predictions. Surgical units in hospitals allocate their resources for day surgeries based on the number of elective patients, which is ...
Agaraoli Aravazhi
doaj +1 more source
Through a PRISMA‐guided review of 42 studies, this work compares deep learning, ensemble machine learning, and statistical/econometric models for long‐term energy demand forecasting, showing that model choice should balance accuracy, interpretability, data availability, and policy relevance.
Nor Afiza Mohd Noor +4 more
wiley +1 more source
KEGIATAN EKSTRAKURIKULER SENI TARI SEBAGAI PENUNJANG PENCAPAIAN PRESTASI BELAJAR SISWA DI SMP NEGERI 3 MAKASSAR KEGIATAN EKSTRAKURIKULER SENI TARI SEBAGAI PENUNJANG PENCAPAIAN PRESTASI BELAJAR SISWA DI SMP NEGERI 3 MAKASSAR [PDF]
ABSTRAK SARIMA, Kegiatan Ekstrakurikuler Seni Tari Sebagai Penunjang Pencapaian Prestasi Belajar Siswa Di Smp Negeri 3 Makassar. Skripsi Jurusan Pendidikan Seni Drama, Tari dan Musik Fakultas Seni dan Desain Universitas Negeri Makassar.
SARIMA, SARIMA
core
Estimation of available SARIMA models.
Estimation of available SARIMA models.
Yuanyuan Liu (136992) +5 more
core +1 more source
Prediksi Single-Step dan Multi-Step Data Cuaca Menggunakan Model Long Short-Term Memory dan Sarima
Prediksi deret waktu pada parameter data cuaca adalah proses memprediksi nilai masa depan berdasarkan pola data historis cuaca. Penelitian ini mengatasi kelemahan penelitian sebelumnya seperti data yang terbatas, jangka waktu prediksi, keterbatasan ...
Humasak Tommy Argo Simanjuntak +3 more
doaj +3 more sources
Proyección de la demanda de turismo internacional en Puno: un enfoque SARIMA
Un componente importante que contribuye al crecimiento económico de la región de Puno, particularmente de la provincia de Puno, es el turismo; el número de llegadas de turistas internacionales a Puno viene mostrando una tendencia al alza moderada como ...
Rene Paz Paredes Mamani
doaj +1 more source
An Investigation of the Factors Reducing the Use of Hospital Services: A Systematic Review
ABSTRACT Background and Aims Hospital service utilization has declined in many health systems due to policy shifts, limited resources, and alternative care approaches. This study aimed to systematically review the factors contributing to a reduction in the use or volume of hospital services.
Sedighe Sadat Tabatabaei Far +3 more
wiley +1 more source
Univariate SARIMA analyses of HFRS cases.
(a) Autocorrelation (ACF) plot of HFRS cases; (b) Partial ACF plot of HFRS cases; (c) SARIMA model of HFRS cases; (d) ACF and PACF plots of residuals after applying a SARIMA model.
Hongyan Ren (105905) +5 more
core +1 more source

