PM2.5 in Sri Lanka: Trend Analysis, Low-cost Sensor Correlations and Spatial Distribution by Ranil Dhammapala, Ashani Basnayake, Sarath Premasiri, Lakmal Chathuranga, Karen Mera

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Nitrogen Dioxide Monitoring by Means of a Low-Cost Autonomous Platform and Sensor Calibration via Machine Learning with Global Data Correlation Enhancement by Slawomir Koziel, Anna Pietrenko-Dabrowska, Marek Wójcikowski, Bogdan Pankiewicz

“…Demonstrative experiments extensively validate this approach, affirming the platform and calibration methodology’s practicality for reliable and cost-effective NO₂ monitoring, especially keeping in mind that the predictive power of the enhanced sensor (correlation coefficient nearing 0.9 against reference data, RMSE < 3.5 µg/m³) is close to that of expensive reference equipment.…”
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Relative sparing of dopaminergic terminals in the caudate nucleus is a feature of rest tremor in Parkinson’s disease by Marcelo D. Mendonça, Pedro C. Ferreira, Francisco Oliveira, Raquel Barbosa, Bruna Meira, Durval C. Costa, Albino J. Oliveira-Maia, Joaquim Alves da Silva

“…In the smaller cohorts, a 4–6 Hz oscillation-based metric from inertial sensors correlated with RT amplitude, distinguished controls from patients with reduced DaT binding and correlated with CBR in the latter group. …”
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Advanced graph embedding for intelligent heating, ventilation, and air conditioning optimization: An ensemble learning-based recommender system by Shouliang Lai, Xiyu Yi, Peiling Zhou, Lu Peng, Wentao Liu, Shi Sun, Binrong Huang

“…Our findings demonstrate that the proposed architecture maintains high performance under increased loads, with key sensor correlations effectively managed to optimize HVAC operations. …”
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Automated insect detection and biomass monitoring via AI and electrical field sensor technology by Freja Balmer Odgaard, Páll Vang Kjærbo, Amir Hossein Poorjam, Khaled Hechmi, Rubens Monteiro Luciano, Niels Krebs

“…For inter-method consistency, sensor-sensor correlations ( $$\rho =0.758$$ for counts; 0.867 for biomass) exceeded Malaise-Malaise correlations ( $$\rho =0.597$$ for counts; 0.641 for biomass), though not significantly so ( $$P=0.304$$ for counts; $$P=0.057$$ for biomass). …”
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Assessment of safety orientation in driving skills aligned with performance: a data-triangulation approach by R. Arichandran, Mithun Mohan, M. Sreekumar

“…Factor analysis, a Double Lane Change (DLC) test conducted on the ground with a test vehicle equipped with Inertial Measurement Unit (IMU) sensors, correlation analysis and multiple linear regression were performed. …”
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