Cost analysis of irrigation controller unit. by Gourab Saha (8987405)

“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”

Run times of two algorithms. by Gourab Saha (8987405)

“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”

Flow chart of Fuzzy Logic based control system. by Gourab Saha (8987405)

“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”

Block diagram for IoT-based irrigation system. by Gourab Saha (8987405)

“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”

Flow chart of Average Value-based control system. by Gourab Saha (8987405)

“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”

Hardware design for IoT-based irrigation system. by Gourab Saha (8987405)

“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”

Study sample. by Nipaporn Butsing (19470003)

“…Friedman tests were used to assess changes in mRS scores over six months. Linear mixed effect regression was applied to identify the change in BI scores during the six months post-discharge.…”

The threshold effect analysis of the BRI on HGS. by Zhihao Wei (10909679)

“…Before this threshold, for every unit increase in BRI, HGS increases significantly (β = 2.19, 95% CI = 1.66, 2.72).</p><p>Conclusion</p><p>The results showed that BRI was positively correlated with HGS and negatively correlated with MQI, meaning that higher BRI was associated with higher HGS and lower MQI. …”

Effect of session on winning model parameters for set size = 2 and set size = 4 for both male and females. by Juliana Chase (20469427)

“…Use of one-back strategy parameters changed significantly across sessions for male mice with (C) S1 “Inappropriate Lose Shift” decreasing across sessions, <i>p</i> = 0.01 (D) S2 = S4 “Stimulus Insensitive Win Stay” increasing, <i>p</i> = 0.009 and (E) S3 “Inappropriate Lose Stay” decreasing, <i>p</i> < 0.0001. …”

Datasheet1_Short-term effects of temperature and air pollution on mortality in Norway: a nationwide cohort-based study.docx by Shilpa Rao (280703)

“…We applied conditional logistic regression models with the distributed lag non-linear model approach to assess cold and heat effects on cause-specific mortality. …”

Analysis of differential microbiome and classification prediction model between case and control groups. by Chuan Zhang (187157)

“…<p><b>(A)</b> Linear discriminant analysis [LDA; (log10)>2] and (B) effect size (LEfSe) analysis revealed significant differences (P < 0.01) in the microbiota of the case (orange, negative score) and control groups (blue, positive score) groups. …”

Supplementary Material for: A Randomized Controlled Crossover Trial to Determine the Effects of Three Nostril Regulated Breathing Practices on Attention and Mood by figshare admin karger (2628495)

“…A significant main effect of states was observed followed by significant post-hoc pair wise comparison in right NDR for (i) pleasant mood after SAV, CAV, AV and QS, (ii) positive mood after SAV and AV, and (iii) global vigor after SAV, CAV, AV and QS, and (iv) a decrease in negative mood after CAV and AV. …”

Table 1_Effect of a mindfulness-based cognitive behavior therapy intervention on occupational burnout among school teachers.docx by Netra Raj Paudel (20610806)

“…No significant differences between the arms were found in the post-test mean levels of EE, DP, and PA. …”

Pediatric CPP with Praat and ADSV (Joshi et al., 2025) by Ashwini Joshi (21594817)

“…Significant effects of stimuli and software on CPP values were also observed.…”

Data Sheet 1_The effect of vagus nerve stimulation on heart rate and respiration rate and their impact on seizure susceptibility in anaesthetized rats under pentylenetetrazol.pdf by Javier Chávez Cerda (20913026)

“…Results indicate that the stimulation significantly decreased the heart rate below baseline levels for standard VNS (−120.0 ± 69.1 bpm) and breathing-synchronized VNS (−84.9 ± 61.0 bpm), overcoming the heart rate increasing effect of PTZ infusion observed in the sham VNS (+79.2 ± 35.5 bpm), and there was no recovery during OFF periods. …”

Evaluation results. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. …”

Dataset with steel insert. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. …”

Reference dataset. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. …”

Dataset with aluminium insert. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. …”

Fig 4 - by Helene Dumont (19812720)

“…Population-level averaged inversion and negation effects and Bayesian non-linear mixed model predictions as a function of Orientation filter</b>. …”