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Publications
This page presents peer-reviewed research publications produced by SACAQM scientists.
Network Load Forecasting via SARIMA-BiLSTM Transfer Learning
R. Chandna, et al. (2026) “Network Load Forecasting via SARIMA-BiLSTM Transfer Learning” Data Mining and Big Data. DMBD 2025. Communications in Computer and Information Science, vol 2905. Springer, Singapore. https://doi.org/10.1007/978-981-92-0229-4_19
Spatio-temporal Modeling Using a Cost-Effective System for Air Quality Monitoring
M. Karmoude, et al. (2026) “Spatio-temporal Modeling Using a Cost-Effective System for Air Quality Monitoring”, in IEEE Conference on Artificial Intelligence (CAI), Granada, Spain,10.1109/CAI68641.2026.11536651
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Transfer Learning from Wi-Fi Access Point Data to
Air Quality Monitoring:
A Spatial-Temporal Graph-Based Approach
R. Chandna, et al., (2026) "Transfer Learning from Wi-Fi Access Point Data to Air Quality Monitoring: A Spatial-Temporal Graph-Based Approach," in IEEE 2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET), Paris, France, pp. 1-8, 10.1109/ICECET63943.2025.11472283
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Efficient Transfer Learning for Time-Series Forecasting Using Wi-Fi Data
R. Chandna, P. Maroeshe, et al., (2025) "Efficient Transfer Learning for Time-Series Forecasting Using Wi-Fi Data," in IEEE 2025 5th International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Pretoria, South Africa, pp. 1–7, doi: 10.1109/IMITEC67386.2025.11410454.
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Spatiotemporal Graph Neural Networks for PM2.5 Concentration Forecasting
V. Chabalala, (2026) "Spatiotemporal Graph Neural Networks for PM2.5 Concentration Forecasting," Air, vol. 4, no. 1, p. 2, doi: 10.3390/air4010002.
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Review of IoT Systems for Air Quality Measurements Based on LTE/4G and LoRa Communications
M. G. D. Gololo, (2024) "Review of IoT Systems for Air Quality Measurements Based on LTE/4G and LoRa Communications," IoT, vol. 5, no. 4, pp. 711–729, doi: 10.3390/iot5040032.
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AI_r: Transforming Air Quality Monitoring through Cost-Effective AI Solutions
M. T. Tshuma, (2024) "AI_r: Transforming Air Quality Monitoring through Cost-Effective AI Solutions," in 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Turkiye, pp. 1–8, doi: 10.1109/IDAP64064.2024.10710650.
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A Cost-Effective Air Quality Monitoring System for the Global South
R. Mckenzie, (2024) "A Cost-Effective Air Quality Monitoring System for the Global South," in 2024 IEEE International Humanitarian Technologies Conference (IHTC), Bari, Italy, pp. 1–7, doi: 10.1109/IHTC61819.2024.10855074.
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Enhanced Underground Communication: A Circularly Polarized Smart Antenna with Beam Steering for Improved Coverage
M. A. Mahboob, (2025) "Enhanced Underground Communication: A Circularly Polarized Smart Antenna with Beam Steering for Improved Coverage," Mining, vol. 5, no. 1, p. 14, doi: 10.3390/mining5010014.
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A Scalable Reinforcement Learning Framework for Wireless Sensor Networks: Spatiotemporal Cluster-Based Multi-Agent Reinforcement Learning
I. Chiraira, (2025) "A Scalable Reinforcement Learning Framework for Wireless Sensor Networks: Spatiotemporal Cluster-Based Multi-Agent Reinforcement Learning," in 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), Antalya, Turkiye, pp. 1–10, doi: 10.1109/ACDSA65407.2025.11166147.
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Machine learning for air quality prediction and data analysis: Review on recent advancements, challenges, and outlooks
M. Karmoude, (2025) "Machine Learning for Air Quality Prediction and Data Analysis: Review on Recent Advancements, Challenges, and Outlooks," Science of The Total Environment, vol. 1002, p. 180593, doi: 10.1016/j.scitotenv.2025.180593.
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