Results 91 to 100 of about 42,250 (218)

NeuroSVM: A Graphical User Interface for Identification of Liver Patients [PDF]

open access: yes, 2015
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  

Predicting 7‐year‐olds mental health in the perinatal period: Development and internal validation of a multivariable model using the prospective ALSPAC cohort

open access: yesJCPP Advances, EarlyView.
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

Comparative Analysis of Machine Learning Models for Predicting Contaminant Concentration Distributions in Hospital Wards

open access: yesBuildings
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

open access: yesJournal of Plant Nutrition and Soil Science, EarlyView.
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

Evaluating The Accuracy of Gridded Climate Datasets for Precipitation, Surface Air Temperature, and Sea Surface Temperature in Central Java, Indonesia

open access: yesIndonesian Journal of Applied Physics
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]

open access: yes, 2016
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  

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
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

open access: yesPilar Nusa Mandiri
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

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
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

open access: yesJOIN: Jurnal Online Informatika
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

Home - About - Disclaimer - Privacy