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Journal Photo for Expert Systems with Applications
Peer reviewed only Open Access

Expert Systems with Applications (ESA)

Publisher : Elsevier Ltd
Management Science Operations Research Management Information Systems
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e-ISSN 1873-6793
p-ISSN 0957-4174
Issue Frequency Semi-monthly
Impact Factor 8.5
Est. Year 1990
Mobile 1865843000
DOI YES
Language English
APC YES
Impact Factor Assignee Google Scholar
Email nlinfo@sciencedirect.com

Journal Descriptions

Expert Systems With Applications is a refereed international journal whose focus is on exchanging information relating to expert and intelligent systems applied in industry, government, and universities worldwide. The thrust of the journal is to publish original papers dealing with the design, development, testing, implementation, and/or management of expert and intelligent systems, and also to provide practical guidelines in the development and management of these systems. The journal will publish papers in expert and intelligent systems technology and application in the areas of, but not limited to: finance, accounting, engineering, marketing, auditing, law, procurement and contracting, project management, risk assessment, information management, information retrieval, crisis management, stock trading, strategic management, network management, telecommunications, space education, intelligent front ends, intelligent database management systems, medicine, chemistry, human resources management, human capital, business, production management, archaeology, economics and energy. Papers in multi-agent systems, knowledge management, neural networks, knowledge discovery, data and text mining, multimedia mining, and genetic algorithms will also be published in the journal. The journal no longer considers papers that contain applications to military/defense systems.

Expert Systems with Applications (ESA) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Management Science, Operations Research, Management Information Systems, Management of Technology and Innovation, Artificial Intelligence, Computer Science Applications, Control and Systems Engineering , Online or Print , Semi-monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0957-4174, E-ISSN: 1873-6793, Established: 1990, Impact Factor: 8.5
  • Provides Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of ESA

Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update
Ketan Kotecha January, 2019
Communication through e-mails remains to be highly formalized, conventional and indispensable method for the exchange of information over the Internet. An ever-increasing ratio and adversary...
Predicting stock market index using fusion of machine learning techniques
Ketan Kotecha March, 2015
The paper focuses on the task of predicting future values of stock market index. Two indices namely CNX Nifty and S&P Bombay Stock Exchange (BSE) Sensex from Indian stock markets are selecte...
Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques
Ketan Kotecha January, 2015
This paper addresses problem of predicting direction of movement of stock and stock price index for Indian stock markets. The study compares four prediction models, Artificial Neural Network...
SNDGCN: Robust Android malware detection based on subgraph network and denoising GCN network
Pietro Liò September, 2024
Android malware seriously affects the use of Android applications, and a growing number of Android malware developers are using adversarial attacks to evade detection by deep learning models...
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning
Mohammad Ali Moni November, 2022
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of biochemical abnormalities. Lung and colon cancer have emerged as two of the leading causes of death and...
EEG-based emotion analysis using non-linear features and ensemble learning approaches
Mohammad Ali Moni November, 2022
Recognition of emotions based on electroencephalography (EEG) has become one of the most emerging topics for healthcare, education system, knowledge sharing, gaming, and many other fields in...
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Mohammad Ali Moni November, 2023
Brain tumors are among the most fatal and devastating diseases, often resulting in significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to devise treatment...
GRU-INC: An inception-attention based approach using GRU for human activity recognition
Mohammad Ali Moni April, 2023
Human Activity Recognition (HAR) is very useful for the clinical applications, and many machine learning algorithms have been successfully implemented to achieve high-performance results. Al...
Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor
Mohammad Ali Moni March, 2024
Early diagnosis of brain tumors is critical for enhancing patient prognosis and treatment options, while accurate classification and segmentation of brain tumors are vital for developing per...
A bi-objective dynamic collaborative task assignment under uncertainty using modified MOEA/D with heuristic initialization
Panos M. Pardalos February, 2020
The collaborative task assignment involved in Command and Control Systems is a key problem to be solved. The existing researches have their limitations to the natures of dynamic, uncertainty...