Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

Network structure of perception fusion algorithm. حسب Weilin Wu (13736)

"…To address these issues, this paper proposes a panoramic driving perception fusion algorithm based on multi-task learning. The model training involves the introduction of different loss functions and a series of processing steps for lidar point cloud data. …"

Graphical representation of various fusion algorithms. حسب Yepuganti Karuna (19935105)

Schematic diagram of the algorithm process of Poisson fusion. حسب Hua Qiu (302635)

Loss profile of different fusion algorithms. حسب Haoran Yin (5793305)

"…In summary, the neural network fusion classification model designed can significantly improve the shortcomings of traditional automatic modulation classification methods, and further improve the classification accuracy of modulated signals.…"

Classification accuracy of different fusion algorithms. حسب Haoran Yin (5793305)

Meiotic fusion model. حسب Qi Song (121209)

Single model and fusion model results. حسب Cheng-Ju Liu (9727915)

الموضوعات:

Algorithms and accuracy of various previous models. حسب Zhe Li (219258)

Python-based Monte Carlo Simulation Tool حسب Yangfan Jiang (9372782)

The model parameters of SIFusion and comparative algorithms. حسب Song Qian (5031221)

Analysis algorithm for identification of potential organ donors based on DSO-Transplantcheck for Excel. حسب Grit Esser (9662370)

The construction process of the improved data fusion model. حسب Tang Ruipeng (20141334)

Influence of feature fusion dimension on algorithm performance. حسب Xuefeng Hu (833855)

الموضوعات:

Influence of feature fusion dimension on algorithm performance. حسب Xuefeng Hu (833855)

الموضوعات:

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"

Fusion state point cloud model of 3D models. حسب Yuefa Ou (22320174)

Fusion results of the improved algorithm under the weighting strategy. حسب Liming Gou (11993799)

الموضوعات:

Comparative analysis of fusion results under different algorithms. حسب Liming Gou (11993799)

الموضوعات: