Results 1 to 10 of about 62,623 (114)

Systematic generation of biophysically detailed models with generalization capability for non-spiking neurons. [PDF]

PLoS ONE, 2022
Unlike spiking neurons which compress continuous inputs into digital signals for transmitting information via action potentials, non-spiking neurons modulate analog signals through graded potential responses.
Loïs Naudin, Juan Luis Jiménez Laredo, Qiang Liu, Nathalie Corson   +3 more
doaj   +3 more sources

Performance, Accuracy and Generalization Capability of RFID Tags’ Constellation for Indoor Localization [PDF]

Sensors, 2020
Indoor localization has recently witnessed an increase in interest due to its wide range of potential services. Further, the location information is very important in many applications, such as the Internet of Things, logistics, library management and so
Elias Hatem, Sara Abou-Chakra, Elizabeth Colin, Jean-Marc Laheurte, Bachar El-Hassan   +4 more
doaj   +2 more sources

CART-ANOVA-Based Transfer Learning Approach for Seven Distinct Tumor Classification Schemes with Generalization Capability [PDF]

Diagnostics
Background/Objectives: Deep transfer learning, leveraging convolutional neural networks (CNNs), has become a pivotal tool for brain tumor detection. However, key challenges include optimizing hyperparameter selection and enhancing the generalization ...
Shiraz Afzal, Muhammad Rauf, Shahzad Ashraf, Shahrin Bin Md Ayob, Zeeshan Ahmad Arfeen   +4 more
doaj   +2 more sources

MSRRT-DETR: A high-precision apple detection method with strong cross-domain generalization capability in complex orchard scenes. [PDF]

PLoS ONE
Accurate fruit detection is a key component of precision agriculture applications such as crop yield estimation, orchard management, and intelligent harvesting.
Xinyu Zhang, Sawut Mamat, Xiaohuang Liu, Jiufen Liu, Run Liu, Guangjie Wu, Ping Zhu, Hongyu Li, Min Ma, Xiaotong Liu   +9 more
doaj   +2 more sources

Automatic facial expression recognition combining texture and shape features from prominent facial regions

IET Image Processing, 2023
Facial expression is one form of communication which being non‐verbal in nature precedes verbal communication in both origin and conception. Most of the existing methods for Automatic Facial Expression Recognition (AFER) are mainly focused on global ...
Naveen Kumar H N, A Suresh Kumar, Guru Prasad M S, Mohd Asif Shah   +3 more
doaj   +1 more source

Discriminant Analysis of Pu-Erh Tea of Different Raw Materials Based on Phytochemicals Using Chemometrics

Foods, 2022
Pu-erh tea processed from the sun-dried green tea leaves can be divided into ancient tea (AT) and terrace tea (TT) according to the source of raw material.
Shao-Rong Zhang, Yu Shi, Jie-Lin Jiang, Li-Yong Luo, Liang Zeng   +4 more
doaj   +1 more source

A spatial evaluation method for earthquake disaster using optimized BP neural network model

Geomatics, Natural Hazards & Risk, 2023
Rapid spatial evaluation of seismic disaster after earthquake occurrence is required in disaster emergency rescue management, because of its importance in decreasing casualties and property losses. Among many categories of seismic disaster, evaluation of
Hanxu Zhou, Ailan Che, Xianghua Shuai, Yi Zhang   +3 more
doaj   +1 more source

Automatic Load Model Selection Based on Machine Learning Algorithms

IEEE Access, 2022
Technology development and decentralized operations create changes in conventional electric systems, where load modeling has been a challenge in dynamic analysis.
S. Hernandez-Pena, S. Perez-Londono, J. Mora-Florez   +2 more
doaj   +1 more source

Generalization Capability of Mixture Estimation Model for Peristaltic Continuous Mixing Conveyor

IEEE Access, 2021
We propose herein a method for estimating the mixing state of the contents of a peristaltic continuous mixing conveyor simulating the intestine, developed for mixing and conveying powders and liquids.
Sana Oshino, Rie Nishihama, Kota Wakamatsu, Katsuma Inoue, Daisuke Matsui, Manabu Okui, Kohei Nakajima, Yasuo Kuniyoshi, Taro Nakamura   +8 more
doaj   +1 more source

Chaos and complexity from quantum neural network. A study with diffusion metric in machine learning

Journal of High Energy Physics, 2021
In this work, our prime objective is to study the phenomena of quantum chaos and complexity in the machine learning dynamics of Quantum Neural Network (QNN).
Sayantan Choudhury, Ankan Dutta, Debisree Ray   +2 more
doaj   +1 more source