Constructing a neural network model for each new dataset is the ultimate nightmare for every data scientist. What if you could forecast the accuracy of the neural network earlier thanks to accumulated experience and approximation? ...
Computer Sciences
Dec 14, 2018
0
40
Artificial neural networks are machine learning systems composed of a large number of connected nodes called artificial neurons. Similar to the neurons in a biological brain, these artificial neurons are the primary basic ...
Computer Sciences
Nov 5, 2018
0
7
Given that advanced mathematical training is critical for helping to solve some of the most challenging questions about the brain works, why are there so few mathematical neuroscientists?
Mathematics
Aug 21, 2015
0
262
"Seeking educational curriculum researchers. Humans need not apply."
Social Sciences
Sep 18, 2014
0
0
The time may be fast approaching for researchers to take better advantage of the vast amount of valuable patient information available from U.S. electronic health records. Lian Duan, an NJIT computer scientist with an expertise ...
Computer Sciences
May 14, 2013
0
0
A simplified mathematical model of the brain's neural circuitry shows that repetitious, overlapped firing of neurons can lead to the waves of overly synchronized brain activity that may cause the halting movements that are ...
Mathematics
Sep 12, 2011
0
0
In the quest for precision farming, accurately detecting wheat spikes through phenotyping is critical, with deep learning models emerging as a promising tool.
Molecular & Computational biology
Jan 17, 2024
0
0
In cereal crops, the number of new leaves each plant produces is used to study the periodic events that constitute the biological life cycle of the crop. The conventional method of determining leaf numbers involves manual ...
Plants & Animals
Apr 26, 2023
0
7
With continuous developments in the space industry, the space near the Earth is occupied by a variety of spacecraft whose number is increasing dramatically every year. To avoid a collision, huge computation power is necessary ...
Space Exploration
Apr 3, 2023
0
3
Subsurface permeability is a key parameter that controls the contribution of the subsurface flow to stream flows in watershed models. Directly measuring permeability at the spatial extent and resolution required by watershed ...
Earth Sciences
Sep 27, 2022
0
7
