Favourites

• Michael, A., Chen, Z., Liu, G. and Yi, Y., 2017. A NEW APPROACH FOR TRACKING HUMAN BODY MOVEMENTS BY KINECT SENSOR. 4TH INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE CITY (ICSSC 2017), 80-86.
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Journal Articles

• Adjeisah, M., Asamoah, K.O., Yeboah, M.A., Raji, R.K., Achaab, G.F. and Adjei, K., 2024. Adinkra Symbol Recognition using Classical Machine Learning and Deep Learning. Expert Systems with Applications.
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• Adjeisah, M., Zhu, X., Xu, H. and Ayall, T.A., 2024. Graph Contrastive Multi-view Learning: A Pre-Training Framework for Graph Classification. Knowledge-Based Systems.
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• Ayall, T.A., Zhou, C., Liu, H., Brhanemeskel, G.M., Abate, S.T. and Adjeisah, M., 2024. Amharic spoken digits recognition using convolutional neural network. Journal of Big Data, 11 (1).
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• Qiu, J., Xu, H., Zhu, X. and Adjeisah, M., 2023. Localized Simple Multiple Kernel K-Means Clustering with Matrix-Induced Regularization. Comput Intell Neurosci, 2023, 6654304.
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• Adjeisah, M., Zhu, X., Xu, H. and Ayall, T.A., 2022. Towards data augmentation in graph neural network: An overview and evaluation. Computer Science Review.
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• Kamyab, M., Liu, G., Rasool, A. and Adjeisah, M., 2022. ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis. PeerJ Comput Sci, 8, e877.
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• Kamyab, M., Liu, G. and Adjeisah, M., 2021. Attention-Based CNN and Bi-LSTM Model Based on TF-IDF and GloVe Word Embedding for Sentiment Analysis. Applied Sciences.
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• Adjeisah, M., Liu, G., Nyabuga, D.O., Nortey, R.N. and Song, J., 2021. Pseudotext Injection and Advance Filtering of Low-Resource Corpus for Neural Machine Translation. Comput Intell Neurosci, 2021, 6682385.
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• Raji, R.K., Adjeisah, M., Miao, X. and Wan, A., 2020. A novel respiration pattern biometric prediction system based on artificial neural network. Sensor Review.
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Conferences

• Adjeisah, M., Liu, G., Nortey, R.N., Song, J., Lamptey, K.O. and Frimpong, F.N., 2021. Twi Corpus: A Massively Twi-to-Handful Languages Parallel Bible Corpus. In: 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) 17-19 December 2020 Exeter.
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• Adjeisah, M., Liu, G., Nyabuga, D.O. and Nortey, R.N., 2020. Multi-Sensor Information Fusion and Machine Learning for High Accuracy Rate of Mechanical Pedometer in Human Activity Recognition. In: 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) 16-18 December 2019 Ximen, China.
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• Nortey, R.N., Yue, L., Agdedanu, P.R. and Adjeisah, M., 2019. Privacy Module for Distributed Electronic Health Records(EHRs) Using the Blockchain. 2019 4TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2019), 369-374.
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• Michael, A., Chen, Z., Liu, G. and Yi, Y., 2017. A NEW APPROACH FOR TRACKING HUMAN BODY MOVEMENTS BY KINECT SENSOR. 4TH INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE CITY (ICSSC 2017), 80-86.
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• Adjeisah, M., Yang, Y. and Li, L., 2015. Joint Filtering: Enhancing Gesture and Mouse Movement in Microsoft Kinect Application. 2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2528-2532.
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• Kashif, K., Wu, Y. and Michael, A., 2015. Consonant Phoneme Based Extreme Learning Machine (ELM) Recognition Model for Foreign Accent Identification. 2019 THE WORLD SYMPOSIUM ON SOFTWARE ENGINEERING (WSSE 2019), 68-72.
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Preprints

• Adjeisah, M., Asamoah, K.O., Yeboah, M.A., King, R.R., Achaab, G.F. and Adjei, K., 2023. Adinkra Symbol Recognition using Classical Machine Learning and Deep Learning.
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