Pertanika Journal of Science and Technology

Aims & Scope✦ Inferred from recent articles

This journal publishes research on the application of computational methods and data analysis techniques to diverse scientific and technological challenges. Topics include medical image analysis for disease detection, development of antiviral agents through molecular simulations, optimization of deep learning models for medical diagnostics, green synthesis of nanomaterials for environmental remediation, blockchain technology for data security and scalability, and the development of hybrid deep learning models for early cancer detection. Additionally, it covers research on sensor data integration for precision agriculture, smart navigation systems, network quality of service provisioning, formulation of stable emulsions and nanoemulsions, engine test stand design, environmental impact assessment of cultivation, and analysis of hyperparameter tuning for machine learning models on imbalanced datasets.

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Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

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Subject Classification