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

Block diagram for crop and fertilizer recommendations system. by Gourab Saha (8987405)

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

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

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

System block diagram. by Gaurav Datkhile (22662871)

Standard model selected for research. by Guangmei Ma (21432861)

Block structure location in the Yueman area. by Chen Ma (714759)

Results of multiple logistic regression analysis to identify potential factors associated with the successful reduction of HPC and F+ coliphage in the POU UVC LED effluent. Single... by Hania Zanib (21864477)

Average accuracy by feature selection method. by Şafak Kılıç (22227019)

“…The framework incorporates multiple feature extraction layers (CBAM, GAP, GMP, pre-final) combined with 10 distinct feature selection methods including Principal Component Analysis (PCA), Chi-square test, Random Forest importance, variance thresholding, and their intersections. …”

MD5 signatures from specific regions from a set of files by Paul A. Gagniuc (1818325)

Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

Average accuracy by feature extraction layer. by Şafak Kılıç (22227019)

“…The framework incorporates multiple feature extraction layers (CBAM, GAP, GMP, pre-final) combined with 10 distinct feature selection methods including Principal Component Analysis (PCA), Chi-square test, Random Forest importance, variance thresholding, and their intersections. …”

Performance analysis by feature extraction layer. by Şafak Kılıç (22227019)

“…The framework incorporates multiple feature extraction layers (CBAM, GAP, GMP, pre-final) combined with 10 distinct feature selection methods including Principal Component Analysis (PCA), Chi-square test, Random Forest importance, variance thresholding, and their intersections. …”

Best model class-wise performance on SMIDS. by Şafak Kılıç (22227019)

“…The framework incorporates multiple feature extraction layers (CBAM, GAP, GMP, pre-final) combined with 10 distinct feature selection methods including Principal Component Analysis (PCA), Chi-square test, Random Forest importance, variance thresholding, and their intersections. …”

Classifier performance overview. by Şafak Kılıç (22227019)

“…The framework incorporates multiple feature extraction layers (CBAM, GAP, GMP, pre-final) combined with 10 distinct feature selection methods including Principal Component Analysis (PCA), Chi-square test, Random Forest importance, variance thresholding, and their intersections. …”

Best model class-wise performance on HuSHeM. by Şafak Kılıç (22227019)

“…The framework incorporates multiple feature extraction layers (CBAM, GAP, GMP, pre-final) combined with 10 distinct feature selection methods including Principal Component Analysis (PCA), Chi-square test, Random Forest importance, variance thresholding, and their intersections. …”

BenchmarkDataNLP.jl.zip by Alexander V. Mantzaris (21376517)

“…<pre><br>BenchmarkDataNLP.jl is a Julia project (can be easily used from other languages by calling Julia) that generates synthetic text datasets for natural language processing (NLP) experimentation (characters selected from the Korean Language Unicode block, Hangul). …”