SEAwise Report on improved predictive models of growth, production and stock quality under different habitat scenarios and incorporating experimental results by Leire Ibaibarriaga (13760979)

“…The accuracy of the model predictions was measured in terms of the mean absolute error and compared to the accuracy of a naïve approach based on the last three years average. …”

MO-SAM segmentation performance using the Grid method in arid/semi-arid landscape. by Qitong Wang (15279695)

“…The point prompts, annotations, pixel intervals, and predictions are shown in light blue and the PI is 50, 35, 20; the IoU scores from left to right are 83.99, 81.05, and 44.19 percent, indicating a decrease in performance as the number and density of gridded point prompts increases In the third row, Platinum Group Elements, the point prompts, annotations, pixel intervals, and predictions are shown in purple. …”

Characterising the i-band variability of YSOs over six orders of magnitude in timescale (dataset) by D Sergison (21909218)

“…However, about a third of the Class IIs show lower overall variability, but their variability is still increasing at 10 years. …”

Data Sheet 1_The SlDLK2 receptor, involved in the control of arbuscular mycorrhizal symbiosis, regulates hormonal balance in roots.docx by Martín Ramos-Alvelo (20413940)

“…Transcriptional reprogramming and hormonal regulation are necessary for the formation of the arbuscules. SlDLK2, a member of the third clade from the DWARF14 family of α, β-hydrolases closely related to the strigolactone receptor D14, is a negative regulator of arbuscule branching in tomato, but the underlying mechanisms are unknown. …”

Table 1_The SlDLK2 receptor, involved in the control of arbuscular mycorrhizal symbiosis, regulates hormonal balance in roots.xlsx by Martín Ramos-Alvelo (20413940)

“…Transcriptional reprogramming and hormonal regulation are necessary for the formation of the arbuscules. SlDLK2, a member of the third clade from the DWARF14 family of α, β-hydrolases closely related to the strigolactone receptor D14, is a negative regulator of arbuscule branching in tomato, but the underlying mechanisms are unknown. …”

Structural understanding versus numerical analysis of Turing patterns, by Selim Haj Ali (21222613)

“…<p>before (first row) and after edge removal (second or third row): (a), (b) and (c) represent an Erdős-Rényi random graph <i>G</i> of 30 nodes and 70 edges before and after removal of an one edge (red dashed line) or another (blue dashed line). …”

Gas power optimization results. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

Simplex method. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

Hydrogen power optimization results. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

Thermal power optimization results. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

Simplex method. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

Results of different scenarios. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

Four Pareto frontiers of algorithms. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

System parameters of each unit. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

Cold power optimization results. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

Algorithm performance evaluation index results. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

Adaptive spiral migration foraging. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

Electric power optimization results. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

All the pictures in the article. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”

Equipment parameters. by Liming Wei (2873834)

“…Third, a multi-strategy enhanced MOAHA is developed through three key improvements: 1) Logistic-sine fused chaotic mapping for population initialization to enhance distribution uniformity and solution quality; 2) Elite opposition-based learning and adaptive spiral migration foraging mechanisms to optimize individual positions and population diversity; 3) Simplex method integration to strengthen local search capabilities and optimization precision. …”