International Journal of Complexity in Applied Science and Technology
2025 - 2026
From Inderscience Enterprises Ltd
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Volume 2, issue 1, 2026
- Machine learning models based on financial data for stock trend predictions pp. 1-14

- John Phan and Hung-Fu Chang
- Brain tumour identification using improved YOLOv8 pp. 15-38

- Rupesh Dulal and Rabin Dulal
- Graph cuts segmentation enhances machine-assisted plant disease diagnosis under tight data constraints pp. 39-62

- Takang Achuo Albert Enow, Hermine Bille Ngalle and Mangaptche Eddy Leonard Ngonkeu
- FourierNAT: a Fourier-mixing-based non-autoregressive transformer for parallel sequence generation pp. 63-75

- Andrew Kiruluta
- A comprehensive review of machine learning techniques for detecting fraud in banking and payment services pp. 76-96

- Sushmita Kumari, Kamlesh Kumar and Ashutosh Gaurav
- PreStroke_ML: a machine learning approach to heat stroke prediction pp. 97-107

- Md. Zahurul Haque, Mimuza Tazvia and Afreen Sultana Kuna
Volume 1, issue 4, 2025
- Particle swarm optimisation with modified global search and local search exemplars for large-scale optimisation pp. 301-329

- Minchong Chen, Hong Li, Qi Yu and Xuejing Hou
- Combining CNNs and symptom data for monkeypox virus detection pp. 330-349

- Emir Oncu
- Analysis of centrifugal clutches in two-speed automatic transmissions with multilayer perceptron neural network-based engagement prediction pp. 350-363

- Bo-Yi Lin and Kai Chun Lin
- Super resolution in microscopic images of SARS-CoV-2 through deep learning pp. 364-381

- Roberto Rodríguez, Laura Brito, Anthony León and Esley Torres
- Evaluating the effectiveness of large language models in medicine education: a comparison of current medicine knowledge pp. 382-396

- Md. Mahadi Hassan and Noushin Nohor
Volume 1, issue 3, 2025
- A solution to portfolio optimisation based on random forest and long short-term memory networks pp. 211-232

- Jiaxiu Lin, Ying Sun and Yuelin Gao
- Three-way decision-making based on index threshold acquisition pp. 233-252

- Bingting Li, Yijing Wu, Tianhao Zhao and Zhihua Cui
- A constrained multi-objective evolutionary algorithm based on dynamic clustering strategy pp. 253-280

- Jiwei Tu, Hong Li, Yuanlong Hu, Shaojin Geng, Dongyang Li and Lei Wang
- Integrating CNNs and ANNs: a comprehensive AI framework for enhanced breast cancer detection and diagnosis pp. 281-299

- Emir Oncu