Fig. 1 ( a ) Cross section of human femur bone, ( b ) idealized material model A, and ( c ) idealized material model B More about this image found in ( a ) Cross section of human femur bone, ( b ) idealized material model A, ...

Fig. 2 Homogenization of femur bone material using Kabir-Tasneem Weighted (KTW) approach More about this image found in Homogenization of femur bone material using Kabir-Tasneem Weighted (KTW) ap...

Fig. 3 Comparison of predictions for longitudinal modulus ( E ¯ 1 ) of femur bone with experimental data [ 18 , 25 ] using Model A and Model B More about this image found in Comparison of predictions for longitudinal modulus ( E ¯ ...

Fig. 4 Comparison of predictions for transverse modulus ( E ¯ 2 ) of femur bone with experimental data [ 18 , 25 ] using Model A More about this image found in Comparison of predictions for transverse modulus ( E ¯ 2 ...

Fig. 5 Comparison of predictions for transverse modulus ( E ¯ 2 ) of femur bone with experimental data [ 18 , 25 ] using Model B More about this image found in Comparison of predictions for transverse modulus ( E ¯ 2 ...

Fig. 6 An idealized simply-supported bone plate section under transverse load More about this image found in An idealized simply-supported bone plate section under transverse load

Fig. 7 Normalized normal stress ( σ ¯ 11 = h a q 0 σ 11 ( a 2 , b 2 , z ) ) along thickness More about this image found in Normalized normal stress ( σ ¯ 11 = h a q ...

Fig. 8 Normalized in-plane shear stress ( σ ¯ 12 = h a q 0 σ 12 ( 0 , 0 , z ) ) along thickness More about this image found in Normalized in-plane shear stress ( σ ¯ 12 = h ...

Fig. 9 Normalized transverse shear stress ( σ ¯ 13 = h a q 0 σ 13 ( 0 , b 2 , z ) ) along thickness More about this image found in Normalized transverse shear stress ( σ ¯ 13 = h ...

Fig. 1 Device and experiment setup: ( a ) schematic diagram of the artificial nipple with integrated force sensor and ( b ) the experimental setup demonstrating sensor device positioning on an infant More about this image found in Device and experiment setup: ( a ) schematic diagram of the artificial nipp...

Fig. 2 Sucking pattern classification workflow More about this image found in Sucking pattern classification workflow

Fig. 3 Comparative force-time plots for infant sucking patterns as measured by sensors on channels 1 (solid line) and 2 (dashed line): ( a ) healthy sucking, characterized by regular, rhythmic patterns and ( b ) unhealthy sucking, which show irregular and less defined patterns More about this image found in Comparative force-time plots for infant sucking patterns as measured by sen...

Fig. 4 SVM classification surface for infant sucking patterns. Classification is performed on the force data, which has two kinds of subjects represented by triangle and square, respectively. More about this image found in SVM classification surface for infant sucking patterns. Classification is p...

Fig. 5 Architectural diagrams of DL models used in the study: ( a )1D-CNN model architecture, detailing the sequence of convolutional and max-pooling layers leading to a dense output layer and ( b ) LSTM model architecture, which starts with an input layer followed by an LSTM layer and culminates ... More about this image found in Architectural diagrams of DL models used in the study: ( a )1D-CNN model ar...

Fig. 6 Confusion matrices of models for classifying infant sucking patterns: ( a ) 1D-CNN model, ( b ) support vector classifier (SVC), ( c ) gradient boosting (GB) classifier, and ( d ) long short-term memory (LSTM) model. Each matrix displays the number of true positive, true negative, false pos... More about this image found in Confusion matrices of models for classifying infant sucking patterns: ( a )...