Results 91 to 100 of about 42,250 (218)
NeuroSVM: A Graphical User Interface for Identification of Liver Patients [PDF]
Diagnosis of liver infection at preliminary stage is important for better treatment. In todays scenario devices like sensors are used for detection of infections.
Nagaraj, Kalyan, Sridhar, Amulyashree
core
Abstract Background Mental health difficulties in childhood are increasing. Prevention is the only sustainable and ethical public health approach. However, predicting which children are most at‐risk of mental health difficulties prior to symptoms emerging remains elusive.
Emma Butler +3 more
wiley +1 more source
As the distribution of indoor contaminants is often heterogeneous, the traditional Wells–Riley equation is inadequate for accurately assessing the infection risk to indoor personnel.
Chonggang Zhou, Yunfei Ding
doaj +1 more source
Yield‐Dependent Allocation Functions Overestimate Root‐Derived Carbon Inputs in Wheat and Maize
ABSTRACT Root‐derived carbon (C) inputs for wheat and maize were estimated using the yield‐based allocation functions of Bolinder et al. and Jacobs et al. Comparison with measured root C showed systematic overestimation that becomes larger as predicted C increases.
Henrike Heinemann
wiley +1 more source
Studies of climate information that rely on accurate and reliable data are essential in hydrometeorological monitoring, early warning, and climate change impacts in areas with varied topography and limited observation data, such as Central Java ...
Iis Widya Harmoko +3 more
doaj +1 more source
APLIKASI PREDIKSI BEBAN PUNCAK HARIAN TRAFO GARDU INDUK MENGGUNAKAN JARINGAN SARAF TIRUAN BACKPROPAGATION DENGAN MOMENTUM DAN ALGORITMA INISIALISASI NGUYEN WIDROW (STUDI KASUS : DISTRIBUTION CONTROL CENTRE SEMARANG) [PDF]
Dalam memberikan pemenuhan kebutuhan listrik kepada pengguna, Perusahaan Listrik Negara (PLN) masih menghadapi masalah untuk menghasilkan daya listrik yang sesuai dengan kebutuhan pengguna.
NUGRAHA, ADITYA DWI +1 more
core
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
COMPARISON OF ARIMA, LSTM, AND GRU MODELS FOR FORECASTING SALES OF HIT AEROSOL PRODUCTS
A more accurate forecasting model, such as LSTM, can significantly enhance business efficiency by providing more reliable predictions of future sales, allowing for better inventory management, optimized production schedules, and more precise distribution
Nendi Sunendar, Yan Rianto
doaj +1 more source
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq +4 more
wiley +1 more source
Comparison Airport Traffic Prediction Performance Using BiGRU and CNN-BiGRU Models
COVID-19 pandemic has significantly disrupted the aviation industry, highlighting the critical need for accurate airport traffic predictions. This study compares the performance of BiGRU and CNN-BiGRU models to enhance airport traffic forecasting ...
Willy Riyadi, Jasmir, Xaverius Sika
doaj +1 more source

