Social media sentiment analysis based on COVID-19 L Nemes, A Kiss Journal of Information and Telecommunication 5 (1), 1-15, 2021 | 282 | 2021 |
Crop classification using spectral indices derived from Sentinel-2A imagery N Kobayashi, H Tani, X Wang, R Sonobe Journal of Information and Telecommunication 4 (1), 67-90, 2020 | 138 | 2020 |
Machine learning approaches for anomaly detection of water quality on a real-world data set F Muharemi, D Logofătu, F Leon Journal of information and telecommunication 3 (3), 294-307, 2019 | 125 | 2019 |
A seven-layered model architecture for Internet of Vehicles J Contreras-Castillo, S Zeadally, JA Guerrero Ibáñez Journal of Information and Telecommunication 1 (1), 4-22, 2017 | 124 | 2017 |
Trends in combating fake news on social media–a survey B Collins, DT Hoang, NT Nguyen, D Hwang Journal of Information and Telecommunication 5 (2), 247-266, 2021 | 118 | 2021 |
Denial of service attack detection through machine learning for the IoT NF Syed, Z Baig, A Ibrahim, C Valli Journal of Information and Telecommunication 4 (4), 482-503, 2020 | 111 | 2020 |
S-box design method based on improved one-dimensional discrete chaotic map D Lambić Journal of Information and Telecommunication 2 (2), 181-191, 2018 | 76 | 2018 |
Prediction of stock values changes using sentiment analysis of stock news headlines L Nemes, A Kiss Journal of Information and Telecommunication 5 (3), 375-394, 2021 | 64 | 2021 |
A survey of deep learning approaches for WiFi-based indoor positioning X Feng, KA Nguyen, Z Luo Journal of Information and Telecommunication 6 (2), 163-216, 2022 | 61 | 2022 |
Plant species identification from leaf patterns using histogram of oriented gradients feature space and convolution neural networks T Quoc Bao, NT Tan Kiet, T Quoc Dinh, HX Hiep Journal of Information and Telecommunication 4 (2), 140-150, 2020 | 55 | 2020 |
Usage Apriori and clustering algorithms in WEKA tools to mining dataset of traffic accidents FM Nafie Ali, AA Mohamed Hamed Journal of Information and Telecommunication 2 (3), 231-245, 2018 | 51 | 2018 |
Social networking sites usage & needs scale (SNSUN): a new instrument for measuring social networking sites’ usage patterns and needs I Ali, M Danaee, A Firdaus Journal of Information and Telecommunication 4 (2), 151-174, 2020 | 48 | 2020 |
The application of machine learning and deep learning in sport: predicting NBA players’ performance and popularity NH Nguyen, DTA Nguyen, B Ma, J Hu Journal of Information and Telecommunication 6 (2), 217-235, 2022 | 43 | 2022 |
Extreme deep learning in biosecurity: the case of machine hearing for marine species identification K Demertzis, LS Iliadis, VD Anezakis Journal of Information and Telecommunication 2 (4), 492-510, 2018 | 43 | 2018 |
Transformation of uml class diagram into owl ontology MHL Vo, Q Hoang Journal of Information and Telecommunication 4 (1), 1-16, 2020 | 41 | 2020 |
Deep learning based question answering system in Bengali T Tahsin Mayeesha, A Md Sarwar, RM Rahman Journal of Information and Telecommunication 5 (2), 145-178, 2021 | 40 | 2021 |
Comparison of convolutional neural network models for food image classification G Özsert Yiğit, BM Özyildirim Journal of Information and Telecommunication 2 (3), 347-357, 2018 | 40 | 2018 |
Machine learning for predicting landslide risk of Rohingya refugee camp infrastructure N Ahmed, A Firoze, RM Rahman Journal of Information and Telecommunication 4 (2), 175-198, 2020 | 36 | 2020 |
An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals E Okafor, L Schomaker, MA Wiering Journal of Information and Telecommunication 2 (4), 465-491, 2018 | 36 | 2018 |
SEADer++: social engineering attack detection in online environments using machine learning M Lansley, F Mouton, S Kapetanakis, N Polatidis Journal of Information and Telecommunication 4 (3), 346-362, 2020 | 35 | 2020 |