Volume 17, Issue 1 (2021) | Journal of Computer Science

A Systematic Literature Review on English and Bangla Topic Modeling

Md. Basim Uddin Ahmed — 2021-01-08

Journal of Computer Science, Published online: 8 January 2021; doi:10.3844/jcssp.2021.1.18

Due to the enormous growth of information and technology, the digitized texts and data are being immensely generated. Therefore, identifying the main topics in a vast collection of documents by humans...

DAD: A Detailed Arabic Dataset for Online Text Recognition and Writer Identification, a New Type

Said S. Saloum — 2021-01-21

Journal of Computer Science, Published online: 21 January 2021; doi:10.3844/jcssp.2021.19.32

This paper presents a novel Arabic dataset that considers the characteristics of the Arabic language filling some gaps not covered by existing datasets. Conventional datasets consider Arabic in a simi...

Collision Avoidance Modelling in Airline Traffic Based on the Change of Airplane Movements and Dynamic Clouds

Yudhi Purwananto — 2021-01-20

Journal of Computer Science, Published online: 20 January 2021; doi:10.3844/jcssp.2021.33.43

An Air Traffic Controller (ATC) system aims to manage airline traffic to prevent collision of the airplane, called the Collision Avoidance (CA). The study on CA, called Conflict Detection and Resoluti...

Fine-Tuned MobileNet Classifier for Classification of Strawberry and Cherry Fruit Types

Venkatesh — 2021-01-20

Journal of Computer Science, Published online: 20 January 2021; doi:10.3844/jcssp.2021.44.54

This paper proposed an accurate, fast and reliable strawberry, cherry fruit detection and classification system for the automated strawberry cherry yield estimation. State-of-the-art deep learning-bas...

A Content Filtering from Spam Posts on Social Media using Weighted Multimodal Approach

Chastine Fatichah — 2021-01-21

Journal of Computer Science, Published online: 21 January 2021; doi:10.3844/jcssp.2021.55.66

The system for filtering spam posts on social media is preferred to obtain the relevant content and expected by users. The previous works on spam detection have been done to filter irrelevant content ...