Available Online: 14 Apr 2026
Attention-Based LSTM for Sign Language Recognition Leveraging Spatial-Temporal Keypoint
Volume 3
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Available Online: 14 Apr 2026
Volume 3
Linus Tabari
tabarilinus18@gmail.com
Kate Takyi
takyikate@knust.edu.gh
Rose-Mary Owusuaa Mensah Gyening
rmo.mensah@knust.edu.gh
Available Online: 03 Apr 2026
Volume 3
Rahibu Abdalla Abassi
r.bassi@suza.ac.tz
Rocky Rajabu Akarro
akarror@gmail.com
Missing data frequently occur in research and if not properly addressed before analysis, can adversely affect the validity of findings. This article evaluates the efficiency of various imputation techniques as formal methods for replacing missing covariates’ data. Root Mean Squared Error (RMSE) were calculated for each missing data under mechanisms of MCAR and MAR to ascertain the method of imputation that yield lower values of RMSE under various simulation conditions...
Available Online: 17 Mar 2026
Volume 3
Mircea Ţălu
talu.s.mircea@gmail.com
Available Online: 28 Jan 2026
Volume 3
Mohammad Amaz Uddin
amazuddin722@gmail.com
Iqbal H. Sarker
m.sarker@ecu.edu.au
Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP) tasks, enabling critical capabilities in fields such as business and finance with their cybersecurity analysis. In particular, LLMs are becoming vital in cybersecurity in providing more accurate solutions to different types of threats, vulnerabilities, and security challenges through pattern recognition, intelligent response generation, and automating threat detection. Although LLMs are pre-trained with a large amount of knowledge, their application in..
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