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Information Sciences (IS)

Publisher :

Elsevier Inc.

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Statistics
  • Probability
  • Electronic Engineering

    • +4

e-ISSN :

1872-6291

Issue Frequency :

Monthly

p-ISSN :

0020-0255

Est. Year :

2024

Mobile :

13144478000

Country :

United States

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

publishing.services@elsevier.com

Journal Descriptions

Informatics and Computer Science Intelligent Systems Applications An International Journal Information Sciences will publish original, innovative and creative research results. A smaller number of timely tutorial and surveying contributions will be published from time to time. The journal is designed to serve researchers, developers, managers, strategic planners, graduate students and others interested in state-of-the art research activities in information, knowledge engineering and intelligent systems. Readers are assumed to have a common interest in information science, but with diverse backgrounds in fields such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioural sciences and biochemistry. The journal publishes high-quality, refereed articles. It emphasizes a balanced coverage of both theory and practice. It fully acknowledges and vividly promotes a breadth of the discipline of Informations Sciences.


Information Sciences (IS) is :

International, Peer-Reviewed, Open Access, Refereed, Statistics, Probability, Electronic Engineering, Information Systems, Management, Artificial Intelligence, Computer Science Applications , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 0020-0255, E-ISSN - 1872-6291, Established in - 2024, Impact Factor

Not Provide Crossref DOI

Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Indexing

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WoS
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Elsevier

+7 More

Publications of IS

  • dott image March, 2025

Comments on A note on teaching-learning-based optimization algorithm

  • dott image Long Tang
  • dott image January, 2024

A two-stage denoising framework for zero-shot learning with noisy labels

Although zero-shot learning (ZSL) has gained widespread concern due to its excellent capacity of recognizing new object classes without seeing any visual instances, most existing methods ass...

  • dott image Rashed Khanjani Shiraz
  • dott image January, 2024

Distributionally robust joint chance-constrained programming: Wasserstein metric and second-order moment constraints

In this paper, we propose a new approximate linear reformulation for distributionally robust joint chance programming with Wasserstein ambiguity sets and an efficient solution approach based...

  • dott image Shuxin Ding
  • dott image October, 2023

An efficient particle swarm optimization with evolutionary multitasking for stochastic area coverage of heterogeneous sensors

This paper investigates the stochastic area coverage problem of sensors with uncertain detection probability. The risk associated with uncertain parameters is managed using the conditional v...

  • dott image Rashed Khanjani Shiraz
  • dott image October, 2022

Distributionally robust portfolio optimization with second-order stochastic dominance based on wasserstein metric

In portfolio optimization, we may be dealing with misspecification of a known distribution, that stock returns follow it. The unknown true distribution is considered in terms of a Wasserstei...

  • dott image October, 2020

DMaOEA-εC: Decomposition-based many-objective evolutionary algorithm with the ε-constraint framework

Real-world problems which involve the optimization of multiple conflicting objectives are named as multi-objective optimization problems (MOPs). This paper mainly deals with the widespread a...

  • dott image Long Tang
  • dott image April, 2019

A novel perspective on multiclass classification: Regular simplex support vector machine

Although support vector machine (SVM) and its variants have been combined successfully with partitioning strategies for multiclass classification, a series of individual classifiers have to ...

  • dott image Li Chuan
  • dott image April, 2019

A hybrid multi-objective genetic local search algorithm for the prize-collecting vehicle routing problem

This paper studies the prize-collecting vehicle routing problem (PCVRP), which is a new variant of the vehicle routing problem. In the PCVRP, besides the vehicle assignment and visiting sequ...

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