Example of sample data. حسب Xiying Wang (4859998)

"…When the number of nodes in the hidden layer increases from 6 to 16, the MSE of the single and dual water level flow prediction models decreases from 4.53×10⁻⁴ to 3.68×10⁻⁴ and 2.38×10⁻⁴ to 1.66×10⁻⁴, respectively. …"

Structure of BPNN. حسب Xiying Wang (4859998)

"…When the number of nodes in the hidden layer increases from 6 to 16, the MSE of the single and dual water level flow prediction models decreases from 4.53×10⁻⁴ to 3.68×10⁻⁴ and 2.38×10⁻⁴ to 1.66×10⁻⁴, respectively. …"

The workflow of EGA-BPNN. حسب Xiying Wang (4859998)

"…When the number of nodes in the hidden layer increases from 6 to 16, the MSE of the single and dual water level flow prediction models decreases from 4.53×10⁻⁴ to 3.68×10⁻⁴ and 2.38×10⁻⁴ to 1.66×10⁻⁴, respectively. …"

S1 Data - حسب Xiying Wang (4859998)

"…When the number of nodes in the hidden layer increases from 6 to 16, the MSE of the single and dual water level flow prediction models decreases from 4.53×10⁻⁴ to 3.68×10⁻⁴ and 2.38×10⁻⁴ to 1.66×10⁻⁴, respectively. …"

Algorithm flow of the GA-BPNN model. حسب Xiying Wang (4859998)

"…When the number of nodes in the hidden layer increases from 6 to 16, the MSE of the single and dual water level flow prediction models decreases from 4.53×10⁻⁴ to 3.68×10⁻⁴ and 2.38×10⁻⁴ to 1.66×10⁻⁴, respectively. …"

Western blot antibody information. حسب Shuailin Li (11907158)

"…AN-LSCs displayed lower <i>PAX6</i> and <i>JNK</i> (<i>MAPK8</i>) mRNA (p<0.001) but higher <i>MMP-3, MMP-9, ADH7, FABP5</i> and <i>VEGFA</i> mRNA levels (p≤0.037) than LSCs. <i>PTGFR</i> and <i>JNK</i> mRNA levels, MMP9 and ADH7 protein levels increased significantly in AN-LSCs after 0.313 μg/mL travoprost treatment (p≤0.039), while NF-κB and ADH7 protein levels decreased significantly in LSCs using 0.313 μg/mL travoprost (p=0.039; p<0.001).…"

Information on healthy and aniridia subjects. حسب Shuailin Li (11907158)

"…AN-LSCs displayed lower <i>PAX6</i> and <i>JNK</i> (<i>MAPK8</i>) mRNA (p<0.001) but higher <i>MMP-3, MMP-9, ADH7, FABP5</i> and <i>VEGFA</i> mRNA levels (p≤0.037) than LSCs. <i>PTGFR</i> and <i>JNK</i> mRNA levels, MMP9 and ADH7 protein levels increased significantly in AN-LSCs after 0.313 μg/mL travoprost treatment (p≤0.039), while NF-κB and ADH7 protein levels decreased significantly in LSCs using 0.313 μg/mL travoprost (p=0.039; p<0.001).…"

qPCR primers information. حسب Shuailin Li (11907158)

"…AN-LSCs displayed lower <i>PAX6</i> and <i>JNK</i> (<i>MAPK8</i>) mRNA (p<0.001) but higher <i>MMP-3, MMP-9, ADH7, FABP5</i> and <i>VEGFA</i> mRNA levels (p≤0.037) than LSCs. <i>PTGFR</i> and <i>JNK</i> mRNA levels, MMP9 and ADH7 protein levels increased significantly in AN-LSCs after 0.313 μg/mL travoprost treatment (p≤0.039), while NF-κB and ADH7 protein levels decreased significantly in LSCs using 0.313 μg/mL travoprost (p=0.039; p<0.001).…"

Antibodies used in this study. حسب Kevin J. Kokesh (19859571)

"…Taken together, MARCKS protein is upregulated in CF cells and there is decreased phosphorylation of the protein due to a decrease in PKC activity and presumably increased cathepsin B mediated proteolysis of the protein after <i>M</i>. …"

Time and flowrate used for proteomics. حسب Kevin J. Kokesh (19859571)

"…Taken together, MARCKS protein is upregulated in CF cells and there is decreased phosphorylation of the protein due to a decrease in PKC activity and presumably increased cathepsin B mediated proteolysis of the protein after <i>M</i>. …"

S1 Graphical abstract - حسب Kevin J. Kokesh (19859571)

"…Taken together, MARCKS protein is upregulated in CF cells and there is decreased phosphorylation of the protein due to a decrease in PKC activity and presumably increased cathepsin B mediated proteolysis of the protein after <i>M</i>. …"

Mean parameter values for the selected crops. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Performance comparison of ML models. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Comparative data of different soil samples. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Confusion matrix of random forest model. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Sensor value scenario for fuzzy logic algorithm. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Evaluation metrics of selected ML models. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Block diagram of the proposed system. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

Chart for applicable amount of fertilizers. حسب Gourab Saha (8987405)

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"

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

"…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …"