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Journal of Information and Telecommunication

ISSN Print: 2475-1839

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Website: https://www.tandfonline.com/toc/tjit/current

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Estimation of air temperature using smartphones in different contexts

Nguyen Hai Chau

Stochastic pretopology as a tool for complex networks analysis

Marc Bui,Quang Vu Bui,Soufian Ben Amor

Handling negative mentions on social media channels using deep learning* * This paper is an extended version of our previous work that was presented at ICCSAMA 2017 (Nguyen, Vo, Pham, Nguyen, & Quan, 2017) and had been selected for possible publication in the Journal of Information and Telecommunication published by Taylor & FrancisView all notes

Dang Pham,Dinh Nguyen,Khuong Vo,Mao Nguyen,Minh Truong,Tho Quan,Tri Nguyen

An algorithmic approach to estimate cognitive aesthetics of images relative to ground truth of human psychology through a large user study

Adnan Firoze,Rashedur M. Rahman,Shahreen Shahjahan Psyche,Tonmoay Deb,Tousif Osman

Plot-creation support with plot-construction model for writing novels

Atsushi Ashida,Tomoko Kojiri

Comparison of influence of Thai and Japanese cultures on reasoning in social communication using simulated crowds

Sutasinee Thovuttikul,Toyoaki Nishida,Yoshimasa Ohmoto

DW-PathSim: a distributed computing model for topic-driven weighted meta-path-based similarity measure in a large-scale content-based heterogeneous information network* * This paper is an extended version of ACIIDS 2018 conference paper ID: 213. Pham, P., Do, P., & Ta, C.D.C. (2018). W-PathSim: Novel approach of weighted similarity measure in content-based heterogeneous information networks by applying LDA topic modeling. In Asian conference on intelligent information and database systems (pp. 539–549). Cham: Springer.View all notes

Phu Pham,Phuc Do

From the Editors and Ton Duc Thang University

Le Vinh Danh,Nguyen Ngoc Thanh

Multiple-period planning of Internet Protocol-over-Elastic Optical Networks

Shree Prakash Singh,Sridhar Iyer

LR-SDiscr: a novel and scalable merging and splitting discretization framework using a lexical generator

Habiba Drias,Hadjer Moulai,Nourelhouda Rehkab

A Hounsfield value-based approach for automatic recognition of brain haemorrhage

Anh-Cang Phan,Thuong-Cang Phan,Van-Quyen Vo

Tuning a conversation strategy for interactive recommendations in a chatbot setting

Hung-Hsuan Huang,Kazuhiro Kuwabara,Varit Asawavetvutt,Yuichiro Ikemoto

Lean and agile supply chains of e-commerce: empirical research

Anna Maryniak,Arkadiusz Kawa

Focused domain contextual AI chatbot framework for resource poor languages

Anirudha Paul,Asiful Haque Latif,Foysal Amin Adnan,Rashedur M Rahman

Enhanced MP3 transmission over Wi-Fi and LTE networks using unequal error protection and varying frequency transforms

Krishnaraj Madhavjee Sunjiv Soyjaudah,Prateema Ragpot,Tulsi Pawan Fowdur

Novel hybrid DCNN–SVM model for classifying RNA-sequencing gene expression data* * This paper is an extended version of 11th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2018) Paper (Huynh, Nguyen, & Do, 2018a). In this paper, in addition to ACIIDS 2018 paper, we have been built DCNN–SVM model RNA-Seq gene expression data classification. This model extracts features from RNA-Seq gene expression data. After tuning hyper parameters, the proposed model performs quite comparatively well on the task tested on RNA-Seq gene expression datasets from The Cancer Genome Atlas (TCGA). 25 small and medium RNA-Seq datasets and a large RNA-Seq dataset of 36 cancer type are also added to the experiment.View all notes

Phuoc-Hai Huynh,Thanh-Nghi Do,Van-Hoa Nguyen

Machine learning approaches for anomaly detection of water quality on a real-world data set* * This study extends the work in Muharemi, Logof？tu, Andersson, and Leon (2018a)View all notes

Doina Logof？tu,Fitore Muharemi,Florin Leon

Impact of overlapping in the radio coverage areas of multiple Wi-Fi access points on detecting encounters

Karim Keramat Jahromi,Md Aktaruzzaman,Mehdi Jalili

A novel machine learning approach for database exploitation detection and privilege control

Chee Keong Wee,Richi Nayak

Adaptive load forecasting using reinforcement learning with database technology

Chee Keong Wee,Richi Nayak

Performance of modified and low complexity pulse shaping filters for IEEE 802.11 OFDM transmission

Louvi Doorganah,Tulsi Pawan Fowdur

The adaptation of the harmony search algorithm to the ATSP with the evaluation of the influence of the pitch adjustment place on the quality of results

Krzysztof Szwarc,Urszula Boryczka

Self-presentation and counterstereotypic gender strategies in social media campaigning: An example from Taiwan's presidential election

Chi-Ying Chen,Shao-Liang Chang

Fusion schemes for image-to-video person re-identification

Nam Pham Ngoc,Thuy-Binh Nguyen

Dependency graph for short text extraction and summarization

Bela Stantic,Nigel Franciscus,Xuguang Ren

Towards fast and memory efficient discovery of periodic frequent patterns

John Wondoh,Vincent Mwintieru Nofong

Going beyond BDI for agent-based simulation

John Bruntse Larsen

Operative control of ore quality at the input of ore preparation operations of enrichment fabric

Ualsher Tukeyev,Valery Axelrod,Viktor Toporov

On the selection of the best companding technique for PAPR reduction in OFDM systems

Mohamed Bakry El_Mashade,Mohamed Mounir

Image compression in resource-constrained eye tracking devices* * This paper is an extension of paper titled ‘Feature-based Image Compression’ (Morozkin et al., 2018, March), which was previously published in ACIIDS 2018 proceedings. This paper adds sections describing resource-constrained aspect of target devices as well as generalizes image compression approach design and implementation in the resource-constrained devices.View all notes

Marc Swynghedauw,Maria Trocan,Pavel Morozkin

Distributed image retrieval with colour and keypoint features

Marcin Korytkowski,Micha？ ？a？giewka,Rafal Scherer

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