RESEARCHER PROFILE
G. Pius Agbulu
← Back to Chinhoyi University of Technology
G
Chinhoyi University of Technology
G. Pius Agbulu works in Energy Efficient Wireless Sensor Networks, Security in Wireless Sensor Networks, Air Quality Monitoring and Forecasting, Air Quality and Health Impacts, Mobile Ad Hoc Networks. Recorded institutional associations include Chinhoyi University of Technology.
18Publications
63Citations
4H-index
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
Air Quality Predictions in Urban Areas Using Hybrid ARIMA and Metaheuristic LSTM
2022 · 22 citationsPECDF-CMRP: A Power-Efficient Compressive Data Fusion and Cluster-Based Multi-hop Relay-Assisted Routing Protocol for IoT Sensor Networks
2022 · 14 citationsA LoRa-Based Internet of Things Smart Irrigation Control Solution with Hybrid Classifier CNN-SVM
2024 · 11 citationsA cloud-assisted mesh sensor network solution for public zone air pollution real-time data acquisition
2022 · 7 citationsA Power-efficient and Delay-Sensitive Mutipath Sensor Networks Protocol for Precision Farming Deployments
2022 · 3 citationsAERAA-DAR: Algorithm for Energy-Resourceful Attribute-aware Data Aggregation and Routing In Wireless Sensor Networks.
2020 · 2 citationsDevelopment of Hybrid Artificial Neural Network and Decision Tree Algorithm for Air Quality Prediction
2021 · 2 citationsOutdoor Air Quality Monitoring with Enhanced Lifetime-enhancing Cooperative Data Gathering and Relaying Algorithm (E-LCDGRA) Based Sensor Network
2023 · 2 citationsEnergy Management, Design Constraints and Solution for Data Dissemination in Wireless Sensor Networks
2022 · 0 citationsDSES-DC: A Dijkstra scheme for environmental sensory data communication in stationary energy-constrained sensor networks
2023 · 0 citationsMachine learning-based image analysis for PM2.5 measurement
2023 · 0 citationsA Practical IoT-Based PM2.5 Air Contaminant Tracking Mechanism with Suitable Machine Learning Support
2024 · 0 citationsIESDCC-KM: an improved energy-saving distributed cluster–chain K-communication scheme for smart sensor networks
2024 · 0 citationsA Hybrid Decision-Tree and ANN Learning Model for Air Contamination Forecasting
2024 · 0 citationsDesign and Analysis of Weather Parameters Using MEMS Technology with Suitable Characteristics for Integration into a Single Chip for Environment Monitoring
2024 · 0 citationsA power-efficient IoT mechanism with adaptive recurrent temporal optimized convolutional learning (ARTOCL) scheme for real-time urban air quality monitoring
2025 · 0 citationsA Review of AI-Driven Genomic Approaches for Cancer Detection and Personalised Medicine
2026 · 0 citationsDesign and Implementation of a Neuro‐Controlled Robot Using Neural Communication Interface
2026 · 0 citations
