The Malaysian Journal of Computer Science (ISSN 0127-9084) is published four times a year in January, April, July and October by the Faculty of Computer Science and Information Technology, University of Malaya, since 1985. Over the years, the journal has gained popularity and the number of paper submissions has increased steadily. The rigorous reviews from the referees have helped in ensuring that the high standard of the journal is maintained. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication. The journal is being indexed and abstracted by Clarivate Analytics' Web of Science (Q4) and Elsevier's Scopus (Q3)

                                          

CALL FOR PAPERS - SPECIAL ISSUE ON COMPUTATIONAL INTELLIGENCE FOR HUMAN ACTIVITY RECOGNITION

2022-05-20

In the past decade, human activity recognition (HAR) has evolved into a very active research topic with its potential applications in many fields, such as surveillance, smart environments, human-machine interaction, image and video retrieval, and healthcare. For instance, it can be adopted in a healthcare service system to monitor the rehabilitation processes of patients and provide useful information for clinicians to help them make decisions for clinical diagnoses, patient monitoring, and treatment management. 

Recently, three trends are fueling the development of HAR. First of all, ubiquitous (non-invasive) sensors provided by the Internet of things (IoT) and smart phones, etc., generate an ever-increasing amount of data for the recognition of human activities. Secondly, new classes of algorithms, in particular in the field of machine learning, such as deep learning convolution networks and Neural Networks, enable a better automated understanding of the data. Third, computation power not available in previous decades is now a reality even on edge devices. Therefore, entirely new applications of HAR are becoming possible due to the ubiquity of sensors and the availability of new classes of algorithms.

This special issue intends to prompt emerging techniques on computational intelligence for human activity recognition. Therefore, it encourages the submission of state-of-the-art research in HAR, as well as fundamental research relevant to the subject. Topics of interest include (but are not limited to) the following subject categories:

1.IoT Sensor based HAR using Computational Intelligence
2.New algorithms for HAR, including machine learning and deep learning
3.Sensor fusion for HAR
4.Action/gesture detection for autonomous vehicle
5.Action/gesture detection for human-machine interaction
6.Multisensor action recognition
7.Anomaly detection in surveillance videos
8.Wearable HAR applications in the medical field
9.Applications of neural networks in HAR

Guest Editors:
Zhengyi Chai (Leading Guest Editor)
Special Issue on Computational Intelligence for Human Activity Recognition
chaizytiangong@outlook.com

Vol. 35 No. 3 (2022): Malaysian Journal of Computer Science

Published: 2022-07-27

EVOLUTION AND ANALYSIS OF SECURE HASH ALGORITHM (SHA) FAMILY

Burhan Ul Islam Khan (Corresponding Author); Rashidah Funke Olanrewaju, Malik Arman Morshidi, Roohie Naaz Mir, Miss Laiha Binti Mat Kiah, Abdul Mobeen Khan

179-200

EXPERT RECOMMENDATION THROUGH TAG RELATIONSHIP IN COMMUNITY QUESTION ANSWERING

Anitha Anandhan; Maizatul Akmar Ismail (Corresponding Author); Liyana Shuib

201-221

WDSAE-DNDT BASED SPEECH FLUENCY DISORDER CLASSIFICATION

Sheena Christabel Pravin (Corresponding Author); M. Palanivelan

222-242

SELF-ORGANIZING RESERVOIR NETWORK FOR ACTION RECOGNITION

Gin Chong Lee; Chu Kiong Loo (Corresponding Author); Wei Shiung Liew

243-263

GRANULAR NETWORK TRAFFIC CLASSIFICATION FOR STREAMING TRAFFIC USING INCREMENTAL LEARNING AND CLASSIFIER CHAIN

Faiz Zaki, Firdaus Afifi, Abdullah Gani; Nor Badrul Anuar (Corresponding Author)

264-280

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