Development and assessment of a market-based Multi-Agent System for domestic heat and electricity management

<p>Convergence curves for SNR, Ent, STD and MADC using a 3 × 3 mask for image slice 35 for the first stroke patient.</p

Convergence curves for SNR, Ent, STD and MADC using a 3 × 3 mask for an original fractional anisotropy weighted orientation map from a patient diagnosed with Parkinson’s disease prior to surgery.

<p>Convergence curves for SNR, Ent, STD and MADC using a 3 × 3 mask for an original fractional anisotropy weighted orientation map from a patient diagnosed with Parkinson’s disease prior to surgery.</p

Convergence curves for SNR, Ent, STD and MADC using a 5 × 5 mask for image slice 51 from the second stroke patient.

<p>Convergence curves for SNR, Ent, STD and MADC using a 5 × 5 mask for image slice 51 from the second stroke patient.</p

Comparison for SNR, Ent, STD and MADC between original image slices of first stroke patient and its fractional differential with mask 5 × 5 between VOFCD using weights (0.45, 0.01, 0.54) and YiFeiPU-2 and FCD-1 with <i>v</i> = 0.5.

<p>Comparison for SNR, Ent, STD and MADC between original image slices of first stroke patient and its fractional differential with mask 5 × 5 between VOFCD using weights (0.45, 0.01, 0.54) and YiFeiPU-2 and FCD-1 with <i>v</i> = 0.5.</p

Weights <i>k</i>₁, <i>k</i>₂ and <i>k</i>₃ to obtain the largest SNR, Ent, STD and MADC using various mask sizes.

<p>Data taken from image slice 35 for the first stroke patient.</p

Weights <i>k</i>₁, <i>k</i>₂ and <i>k</i>₃ to obtain the lowest SNR, Ent, STD and MADC using various mask sizes.

<p>Data taken from image slice 35 for the first stroke patient.</p

Convergence curves for SNR, Ent, STD and MADC using a 7 × 7 mask for image slice 51 from the second stroke patient.

<p>Convergence curves for SNR, Ent, STD and MADC using a 7 × 7 mask for image slice 51 from the second stroke patient.</p

Comparison of images across different combinations of (<i>k</i>₁, <i>k</i>₂, <i>k</i>₃) reconstructed using a 5 × 5 mask.

<p>Data is for slice 35 from the first stroke patient, and the weights are (a) (0.45, 0.01, 0.54), (b) (0.46, 0.01, 0.53), (c) (0.5, 0.01, 0.49), (d) (0.01, 0.01, 0.98).</p

Algorithm for enhancing the quality of a grey–level image.

<p>Algorithm for enhancing the quality of a grey–level image.</p

Convergence curves for SNR, Ent, STD and MADC using a 3 × 3 mask for an original fractional anisotropy weighted orientation map from a patient diagnosed with Parkinson’s disease prior to surgery.

<p>Convergence curves for SNR, Ent, STD and MADC using a 3 × 3 mask for an original fractional anisotropy weighted orientation map from a patient diagnosed with Parkinson’s disease prior to surgery.</p