Neural Processing Letters
Overview
Neural Processing Letters is a peer-reviewed journal that focuses on the interdisciplinary field of neural processing, covering topics such as neural networks, computational neuroscience, machine learning, and cognitive science. It publishes concise and high-quality research papers, letters, and reviews, providing a platform for researchers and practitioners to exchange ideas and advancements in this rapidly evolving field.
Details
Details
Abbr.
Neural Process Lett
Start
1994
End
Continuing
Frequency
Bimonthly
p-ISSN
1370-4621
e-ISSN
1573-773X
Country
Belgium
Language
English
Metrics
Metrics
h-index / Ranks: 5603
65
SJR / Ranks: 6410
692
CiteScore / Ranks: 4502
5.40
JIF / Ranks: 3327
3.1
Recent Articles
1.
Poznyak A, Chairez I, Anyutin A
Neural Process Lett
. 2023 Jun;
:1-17.
PMID: 37359130
This essay discusses a potential method for predicting the behavior of various physical processes and uses the COVID-19 outbreak to demonstrate its applicability. This study assumes that the current data...
2.
Nandhini K, Tamilpavai G
Neural Process Lett
. 2023 Jun;
:1-22.
PMID: 37359129
Gene is located inside the nuclease and the genetic data is contained in deoxyribonucleic acid (DNA). A person's gene count ranges from 20,000 to 30,000. Even a minor alteration to...
3.
Bai L, Han X, Jia C
Neural Process Lett
. 2023 Jun;
:1-20.
PMID: 37359128
Currently, social media is full of rumors. To stop rumors from spreading further, rumor detection has received increasing attention. Recent rumor detection methods treat all propagation paths and all nodes...
4.
Aoumeur N, Li Z, Alshari E
Neural Process Lett
. 2023 Jan;
:1-16.
PMID: 36714004
Over the past decade, Sentiment analysis has attracted significant researcher attention. Despite a huge number of studies in this field, Sentiment analysis of authors' books (classical Arabic) with extracting the...
5.
Lapid S, Kagan D, Fire M
Neural Process Lett
. 2023 Jan;
:1-33.
PMID: 36624805
Nowadays, detecting anomalous communities in networks is an essential task in research, as it helps discover insights into community-structured networks. Most of the existing methods leverage either information regarding attributes...
6.
Pendharkar P
Neural Process Lett
. 2023 Jan;
:1-22.
PMID: 36624804
Production function techniques often impose functional form and other restrictions that limit their applicability. One common limitation in popular production function techniques is the requirement that all inputs and outputs...
7.
Li L, Su W, Liu F, He M, Liang X
Neural Process Lett
. 2023 Jan;
:1-16.
PMID: 36619739
The success of deep learning has brought breakthroughs in many fields. However, the increased performance of deep learning models is often accompanied by an increase in their depth and width,...
8.
Ju J, Liu K, Liu F
Neural Process Lett
. 2023 Jan;
:1-19.
PMID: 36590992
Sulphur dioxide is one of the most common air pollutants, forming acid rain and other harmful substances in the atmosphere, which can further damage our ecosystem and cause respiratory diseases...
9.
Kour H, Gupta M
Neural Process Lett
. 2022 Dec;
:1-40.
PMID: 36575702
COVID-19 is a novel virus that presents challenges due to a lack of consistent and in-depth research. The news of the COVID-19 spreads across the globe, resulting in a flood...
10.
Jeon S, Cho S
Neural Process Lett
. 2022 Dec;
:1-22.
PMID: 36573130
Discriminating the matched named entity pairs or identifying the entities' canonical forms are critical in text mining tasks. More precise named entity normalization in text mining will benefit other subsequent...