NSPS is a learned academic society promoting research, conferences, peer-reviewed publications, professional membership, prizes, and scientific recognition across the physical sciences.
NSPS is the main national body incorporated by the Corporate Affairs Commission of Nigeria to promote the study and research of Physical Sciences in Nigeria.
Supporting research, education, publication, and collaboration in physics, chemistry, mathematics, earth sciences, computer science, and related fields.
Eligible applicants can check requirements, make payment, upload CV and passport, generate an e-certificate, and request a hard copy certificate.
Members, fellows, reviewers, and award recipients can access modern verification and recognition services.
Explore NSPS journals, proceedings, and archival platforms designed to support scholarly communication across the physical and applied sciences.
Scientific news reports, society updates, and weekly membership spotlight features from NSPS.
The Nigerian Society of Physical Sciences is pleased to celebrate ๐๐ซ. ๐๐ญ๐ข๐๐จ ๐๐๐ญ๐ซ๐ข๐๐ค ๐๐ง๐ฒ๐๐ง๐ as our Spotlight Member of the Week.
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A recent study published in the Journal of the Nigerian Society of Physical Sciences introduces CropGAN, a conditional Generative Adversarial Network framework for generating synthetic tabular data to improve crop recommendation systems. The study addresses limitations caused by scarce, imbalanced, and regionally biased agricultural datasets by combining class conditioning, minority-aware sampling, and Wasserstein loss with gradient penalty. Trained on 5,000 samples across 10 crop classes, CropGAN produced more diverse synthetic data and improved downstream classification performance, with a Support Vector Machine achieving 99.4% accuracy. This work supports precision agriculture, synthetic data generation, class-imbalance handling, and AI-driven crop decision support in data-scarce farming regions.
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A recent study published in the Journal of the Nigerian Society of Physical Sciences develops a fuzzy semi-Markovian stochastic model to examine the effect of repairman arrival delay on the reliability and availability of single-unit systems. Using Lindley-distributed lifetime, failure, repair, and arrival-time variables with bell-shaped fuzzy membership functions, the study compares systems with immediate repair and those affected by repairman delay. The results show that immediate repairman availability improves system availability, while increasing the ฮฑ-cut reduces fuzziness and strengthens reliability estimates. This work supports reliability engineering, maintenance planning, fuzzy stochastic modelling, and performance evaluation of repairable engineering systems.
Read reportNSPS provides a reviewer credit system and automatic certificate generation for qualified reviewers who support journals published or co-published by the Society.
Visit Reviewer CenterVisit the Reviewer Center and select the journal certificate you want to download.
Enter your journal username and registered email address to retrieve completed reviews.
Eligible reviewers can generate certificates and reviewer credit tokens according to NSPS conditions.