Techno-economic analysis of an off-grid power system: A case study for Manpura Island of Bangladesh
In recent decades, energy has become essential for human advancement, leading to increased global energy demand. While fossil fuels have historically powered industrialization and economic growth, their environmental impact has spurred a transition to renewable energy sources, which are more sustainable and better suited for addressing climate change. Renewable Energy Technologies (RETs) such as solar, […]
DesignMind ML-personalized UI/UX design with adaptive color and simplified features
Personalized UI/UX design has become increasingly important for modern digital systems, enhancing usability, accessibility, and user satisfaction across diverse user groups (Liu et al., 2024). Traditional static user interface designs often neglect individual differences in user preferences, visual comfort, and interaction behaviour, resulting in cognitive overload and reduced engagement. These challenges are particularly evident in […]
Efficient machine learning approach for classification of malware with portable executable (PE) headers
Malicious software, or malware, refers to any program specifically designed to damage or disrupt a computer system without the consent or knowledge of its owner. The term “malware” encompasses a wide range of harmful software, which can be broadly classified into two categories: file infectors and stand-alone malware. The broader category of malware includes worms, […]
Hybrid CNN–BiLSTM–GRU architecture for PAMAP2-based human activity recognition in patient monitoring
Computer Science and Engineering Research; 3(1): 4-10
by Subrata Kumer Paul, Rakhi Rani Paul, Dewan Nafiul Islam Noor, Md. Ekramul Hamid, Mirza A. F. M. Rashidul Hasan
Machine learning–driven analysis of MRI images for lung cancer detection
Computer Science and Engineering Research; 3(1): 1-3
by Ishmat Jahan
Design and performance evaluation of dual-axis solar tracking for enhanced photovoltaic efficiency
Computer Science and Engineering Research; 2(1): 41-46
by Farzana Alam, Ariful Islam, Sadhon Kumar Sarker, Fakhrul Islam, Tanim Ahmed, Tawsif Hossain Chowdhury
Generative intelligence systems in the flow of group emotions
Computer Science and Engineering Research; 2(1): 32-40
by Fernando Koch, Jessica Nahulan, Jeremy Fox, Martin Keen
Generative AI: A survey of historical development, emerging trends, and future outlook
Computer Science and Engineering Research; 2(1): 19-31
by Abdullahi Chowdhury, Adyan Chowdhury, Nabila Hoque, Moriwam, Musfera Jahan
A deep learning approach for multi-class classification of air quality from image data
Computer Science and Engineering Research; 2(1): 10-18
by Israt Tabassum, G. M. Ansarul Kabir, Iffat Tasnuva, Shaheena Sultana
The strategic role of workday payroll in addressing enterprise challenges
Computer Science and Engineering Research; 2(1): 3-9
by Manoj Varma Lakhamraju