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The purpose of this paper is to propose a soft computing model based on multi-objective evolutionary algorithm (MOEA), namely, modified micro genetic algorithm (MmGA) coupled with a decision tree (DT)-based classifier, in classifying and optimising the students’ online interaction activities as classifier of student achievement. Subsequently, the results are transformed into useful information that may help educator in designing better learning instructions geared towards higher student achievement.

A soft computing model based on MOEA is proposed. It is tested on benchmark data pertaining to student activities and achievement obtained from the University of California at Irvine machine learning repository. Additional, a real-world case study in a distance learning institution, namely, Wawasan Open University in Malaysia has been conducted. The case study involves a total of 46 courses collected over 24 consecutive weeks with students across the entire regions in Malaysia and worldwide.

The proposed model obtains high classification accuracy rates at reduced number of features used. These results are transformed into useful information for the educational institution in our case study in an effort to improve student achievement. Whether benchmark or real-world case study, the proposed model successfully reduced the number features used by at least 48 per cent while achieving higher classification accuracy.

A soft computing model based on MOEA, namely, MmGA coupled with a DT-based classifier, in handling educational data is proposed.

The British East India Company (EIC) made connections between the Malay Archipelago and Bengal and established a penal settlement at Bencoolen, followed by the Straits Settlements for the Indian convicts. The convicts from different parts of South Asia today were generally described as “Indian”, such generalisation often hides the identity of specific convicts from South Asia. Among the Indian convicts, the Bengalis were transported to Bencoolen and the Straits Settlements. However, the generic term has made it difficult to reconstruct the history of Bengali convicts’ experiences and pathos. Therefore, this paper attempts to “rediscover” the afterlife of transportation of Bengali felons in the Malay Peninsula.

By examining a range of archival records and current scholarships, this article shows the inclusivity, diversity and accessibility of convict labourers with mainstream society. This study will open up a new avenue of convict histories and subaltern studies on Asia.

The Bengali convicts in the Straits Settlements, one of the oldest migrant sections, have largely been ignored in historical literature. Though the Bengalis, among other South Asian convicts, constituted a significant portion, they were categorised under the generic term “Indian” (Rai, 2014). Their manual labour was invaluable for the colonial economy and the development of the Straits Settlements.

Researcher faced difficulties to get the descendant of Bengali convicts.

This article is a research paper based on mostly archival records; therefore, it is an original contribution to the existing knowledge on the convict history.

The purpose of this paper is to present a quantitatively supported explanation of the intellectual development, the schools of thought and the sub-areas of the food cold chain (FCC) research to derive meaningful avenues for future research.

This study builds on bibliometric analysis and network analysis to systematically evaluate a sample of 1,189 FCC articles published over the past 25 years. The descriptive statistics and science mapping approaches using co-citation analysis were performed with VOSviewer software.

The findings reveal a state-of-the-art overview of the top contributing and influential countries, authors, institutions and articles in the area of FCC research. A co-citation analysis, coupled with content analysis of most co-cited articles, uncovered four underlying research streams including: application of RFID technologies; production and operation planning models; postharvest waste, causes of postharvest wastage and perishable inventory ordering polices and models; and critical issues in FCC. Current research streams, clusters and their sub-themes provided meaningful discussions and insights into key areas for future research in FCC.

This study might reshape practitioners’, researchers’ and policy-makers’ views on the multifaceted areas and themes in the FCC research field, to harness FCC’s benefits at both strategic and tactical level. Finally, the research findings offer a roadmap for additional research to yield more practical and modeling insights that are much needed to enrich the field.