Results 21 to 30 of about 24,485,484 (328)
A Novel Hybrid System of Detecting Brain Tumors in MRI
IEEE Access, 2023 The growth of irregular brain cells leads to a disease called brain tumor (BT). It is difficult to predict a patient’s chance of survival due to the low rate and wide range of tumor shapes.
Raghav Agarwal +3 more
doaj +1 more source
Engineering Applications of Computational Fluid Mechanics, 2022 River streamflow is an essential hydrological parameters for optimal water resource management. This study investigates models used to estimate monthly time-series river streamflow data at two hydrological stations in the USA (Heise and Irwin on Snake ...
Kegang Wang +9 more
doaj +1 more source
Water resources management, 2021 Precipitation forecast is key for water resources management in semi-arid climates. The traditional hybrid models simulate linear and nonlinear components of precipitation series separately. But they do not still provide accurate forecasts. This research
L. Parviz +2 more
semanticscholar +1 more source
Stock values predictions using deep learning based hybrid models
CAAI Transactions on Intelligence Technology, 2021 Sandeep Saini, Department of Electronics and Communication Engineering, The LNM Institute of Information Technology, Jaipur, India. Email: sandeep.saini@lnmiit.ac.in Abstract Predicting the correct values of stock prices in fast fluctuating high ...
Konark Yadav +2 more
semanticscholar +1 more source
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning [PDF]
International Conference on Learning Representations, 2023 We introduce MAmmoTH, a series of open-source large language models (LLMs) specifically tailored for general math problem-solving. The MAmmoTH models are trained on MathInstruct, our meticulously curated instruction tuning dataset.
Xiang Yue +7 more
semanticscholar +1 more source
Administrative Sciences, 2022 Public administration and public governance play a crucial role in society today by ensuring that social needs are met. Due to the constantly changing environment, public governance models have transformed many times, creating differences in public ...
Aleksander Aristovnik +2 more
doaj +1 more source
Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy [PDF]
European Journal of Health Economics, 2020 The coronavirus disease (COVID-19) is a severe, ongoing, novel pandemic that emerged in Wuhan, China, in December 2019. As of January 21, 2021, the virus had infected approximately 100 million people, causing over 2 million deaths.
Gaetano Perone
semanticscholar +1 more source
Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability [PDF]
Interspeech, 2020 Because of its streaming nature, recurrent neural network transducer (RNN-T) is a very promising end-to-end (E2E) model that may replace the popular hybrid model for automatic speech recognition. In this paper, we describe our recent development of RNN-T
Jinyu Li +10 more
semanticscholar +1 more source
Hybrid RANS/LES of plane impinging jets with k-omega based models [PDF]
, 2010 Plane impinging jets with nozzle-plate distances H/B=10 at Re=13500 and H/B=9.2 at Re=20000 are simulated with k-omega based hybrid RANS/LES models. Three ways of substitution of the turbulent length scale by the local grid size in the LES mode of the ...
Dick, Erik, Kubacki, Slawomir
core +2 more sources
International Journal of Energy Research, 2020 The uncertainty associated with modeling and performance prediction of solar photovoltaic systems could be easily and efficiently solved by artificial intelligence techniques. During the past decade of 2009 to 2019, artificial neural network (ANN), fuzzy
K. Garud, S. Jayaraj, Moo‐Yeon Lee
semanticscholar +1 more source