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Intelligent Systems with Applications is a peer-reviewed journal published by Elsevier, covering Topic Modeling, Anomaly Detection Techniques and Applications, Network Security and Intrusion Detection.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Intelligent Systems with Applications 12 (2023) 45–58.
Formats any DOI in Intelligent Systems with Applications style. No sign-up. |
| Publishes research in | Topic Modeling Anomaly Detection Techniques and Applications Network Security and Intrusion Detection Advanced Neural Network Applications Stock Market Forecasting Methods |
| ISSN | 2667-3053 |
| Citation impact (2-yr) | 6.59 |
| h-index | 45 |
| i10-index | 240 |
| Total citations | 8,592 |
| Article processing charge | $1,500 |
| Open access | Yes |
| Top institutions publishing here | University of Sharjah |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Sign language is an essential tool to bridge the communication gap between normal and hearing-impaired people. However, the diversity of over 7000 present-day sign languages with variability in motion position, hand shape, and position of body parts making automatic sign language recognition (ASLR) a complex system. In order to overcome such complexity, researchers are investigating…
Emotion recognition is the process to detect, evaluate, interpret, and respond to people's emotional states and emotions, ranging from happiness to fear to humiliation. The COVID- 19 epidemic has provided new and essential impetus for emotion recognition research. The numerous feelings and thoughts shared and posted on social networking sites throughout the COVID-19 outbreak mirrored…
The house market has been rapidly growing for the past decade in China, making price forecasting an important issue to the people and policy makers. We approach this problem by exploring neural networks for forecasting of house prices from one hundred major cities for the period of June 2010–May 2019, serving as the first study…
Recent advances in communication technologies with the emergence of connected objects have changed the agricultural area. In this new digital age, the development of artificial intelligence, particularly deep learning, has allowed for acceleration and improvement in the processing of collected data. To highlight the evolution and advances observed in deep learning in agriculture, we conducted…
Numerous recent studies have attempted to create efficient mechanical trading systems through the use of machine learning approaches for stock price estimation and portfolio management. Using the ability to foresee the future trends of the stock performance, the return of investment can be maximized for short-term trading. This paper will review various Artificial Intelligence (AI)…
