Computing and Informatics

About the Journal

The journal Computing and Informatics (formerly: Computers and Artificial Intelligence) is published since 1982.

Please note that this web page related to Open Journal System is in use from January 2012, i.e. starting from Volume 31.

ISSN 1335-9150 (print)
ISSN 2585-8807 (online)

The Computing and Informatics is an open access peer-reviewed journal. Since Volume 35 (2017) each published paper is provided by DOI (Digital Object Identifier).

Announcements

Call for Papers -- Lightweight AI Algorithms for Real-Time Data Mining in Edge Computing Environments

2025-03-11

We welcome contributions from a variety of fields and viewpoints, such as but not limited to: Lightweight AI Algorithms for Real-Time Data Mining in Edge Computing Environments.

Guest Editors:
Dr. Jawad Khan, Gachon University, Seongnam, South Korea
Dr. Muhammad Hameed Siddiqi, Jouf University, Sakaka, Aljouf, Saudi Arabia
Dr. Tariq Rahim, Kingston University, Kingston, England
Dr. Shah Khalid, National University of Sciences & Technology, Islamabad, Pakistan

Tentative Timeline:
Manuscript Submissions Due: May 15, 2025
First Round of Reviews Completed: July 20, 2025
Revised Manuscripts Due: September 18, 2025
Second Round of Reviews Completed: November 22, 2025
Final Manuscripts Due: January 10, 2026

Current Issue

Vol. 44 No. 2 (2025): Computing and Informatics

The fulltexts will be available soon.

Published: 2025-04-30

Articles

Task Offloading Decision and Resource Allocation Strategy Based on Improved DDPG in Mobile Edge Computing

An Li, Yeqiang Zheng, Wang Nong, Manyi Wei, Gaocai Wang, Shuqiang Huang

245–271
- PDF
Advancing Early Diagnosis: Investigating Breast Cancer Cell Segmentation with Deep Learning and Transfer Learning Approaches

Nida Khalil, Khalid Mahboob, Umme Laila, Manal A. Asiri, Muhammad Noman Saeed, Ahmad Mufarreh Almufarreh, Fatima Waseem, Khaled Mohammed Noaman, Farooq Ebrahim, Fazal Imam Shahi, Ali Ahmed Al-Makramani

272–299
- PDF
Self-Supervised Learning for 3D Action Prediction Based on Past Completeness and Future Trend

Yifan Wang, Tiancheng Zheng, Hua Shi, Chong Zhao, Eryong Wu

300–335
- PDF
Comparative Visualisation of Algorithms and Data Structures

Filip Vateha, Slavomír Šimoňák

336–365
- PDF
Max Planck Theory for Digital Image Processing: A New Algorithm for Mammogram Image Segmentation to Identify Masses in Regions of the Breast

Yun Zhang, Refat Mohammed Abdullah Eshaq, Weian Dong, Chunxu Li

366–384
- PDF
YOLO-DTO: Automotive Door Panel Fastener Detection Algorithm Based on Deep Learning

Xiaohui Wang, Yunshuo Jia, Fengjuan Guo

385–407
- PDF
Lightweight Dual-Stream Human Behavior Inference Network Based on Multi-Layer Perceptron

Qichen Qin, Xiaohong Han

408–428
- PDF
New Family of Linear 3-Erasure Correcting Block Codes with Possible Application in Storage Systems

Peter Farkaš, Katarína Farkašová, Frederik Pavelka, Martin Rakús

429–444
- PDF
Efficient Drone Detection Method Based on YOLOv8s Improvement

Bing Su, Jie Zhang, Yifeng Lin

445–466
- PDF
SMRFC-PDCNN: An Efficient Scene Matching Recognition with DCNN and Feature Clustering on Spark

Jingguo Dai, Yimin Mao

467–492
- PDF

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COMPUTING AND INFORMATICS is idexed in

Current Contents (Clarivate) - Computer Science, Artificial Intelligence
SCOPUS
INSPEC

DBLP - Computer Science Bibliography
Zentralblatt Math
EBSCO
VINITI Abstracts Journal

Impact Factor=0.7

Main Journal Topics
COMPUTER ARCHITECTURES PARALLEL AND DISTRIBUTED COMPUTING THEORETICAL FOUNDATIONS SOFTWARE ENGINEERING KNOWLEDGE AND INFORMATION ENGINEERING Apart from the main topics, the Editorial Board welcomes papers from other areas of computing and informatics.

Computing and Informatics

About the Journal

Announcements

Call for Papers -- Lightweight AI Algorithms for Real-Time Data Mining in Edge Computing Environments

Current Issue

Articles

Task Offloading Decision and Resource Allocation Strategy Based on Improved DDPG in Mobile Edge Computing

Advancing Early Diagnosis: Investigating Breast Cancer Cell Segmentation with Deep Learning and Transfer Learning Approaches

Self-Supervised Learning for 3D Action Prediction Based on Past Completeness and Future Trend

Comparative Visualisation of Algorithms and Data Structures

Max Planck Theory for Digital Image Processing: A New Algorithm for Mammogram Image Segmentation to Identify Masses in Regions of the Breast

YOLO-DTO: Automotive Door Panel Fastener Detection Algorithm Based on Deep Learning

Lightweight Dual-Stream Human Behavior Inference Network Based on Multi-Layer Perceptron

New Family of Linear 3-Erasure Correcting Block Codes with Possible Application in Storage Systems

Efficient Drone Detection Method Based on YOLOv8s Improvement

SMRFC-PDCNN: An Efficient Scene Matching Recognition with DCNN and Feature Clustering on Spark

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