Convolution kernel of size 5 with arbitrary shape. حسب Xinwei Wang (352488)

Supplementary file 1_Optimizing quantum convolutional neural network architectures for arbitrary data dimension.pdf حسب Changwon Lee (20812727)

"…The number of input qubits determines the dimensions (i.e., the number of features) of the input data that can be processed, restricting the applicability of QCNN algorithms to real-world data. To address this issue, we propose a QCNN architecture capable of handling arbitrary input data dimensions while optimizing the allocation of quantum resources such as ancillary qubits and quantum gates. …"

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

"…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …"

Percentage totBurden and percentage maxBurden reduced by all approaches for = 0.5345 in New Hampshire for FRED (first column) and SafeGraph (second column). حسب Jeffrey Keithley (14626551)

الموضوعات:

FastGreedy, UnitGreedy, SingletonGreedy, 3-EnumGreedy, and POMS comparison with respect to practical running time (estimated for POMS) to achieve approximation guarantee for New Ha... حسب Jeffrey Keithley (14626551)

الموضوعات:

Summary of greedy algorithms presented in this section. Details of approximation factors for FastGreedy and UnitGreedy may be found in [26] and [25], respectively. حسب Jeffrey Keithley (14626551)

الموضوعات:

Percentage totBurden and percentage maxBurden reduced by UnitGreedy, SingletonGreedy, FastGreedy and baselines for = 0.535 in Iowa for FRED (first column) and SafeGraph (second col... حسب Jeffrey Keithley (14626551)

الموضوعات:

Metapopulation model notation. حسب Jeffrey Keithley (14626551)

الموضوعات:

Estimates of for each problem instance. حسب Jeffrey Keithley (14626551)

الموضوعات:

The instance of MaxCasesAverted and MaxPeaksReduced is a graph <i>G</i> constructed from the given instance of Max k-SI. حسب Jeffrey Keithley (14626551)

الموضوعات:

Percentage totBurden and percentage maxBurden reduced by UnitGreedy, FastGreedy and baselines for = 0.525 in Texas for FRED (first column) and SafeGraph (second column). حسب Jeffrey Keithley (14626551)

الموضوعات:

Approximation factors for each problem instance. حسب Jeffrey Keithley (14626551)

الموضوعات:

Environment ConFIGuration Information. حسب Xinwei Wang (352488)

"…An improved target detection algorithm is proposed to address these issues. The algorithm introduces AKConv into the C2F module. …"

Results of ablation experiment. حسب Xinwei Wang (352488)

"…An improved target detection algorithm is proposed to address these issues. The algorithm introduces AKConv into the C2F module. …"

Comparison diagram of mAP50. حسب Xinwei Wang (352488)

"…An improved target detection algorithm is proposed to address these issues. The algorithm introduces AKConv into the C2F module. …"

Improved YOLOv8s. حسب Xinwei Wang (352488)

"…An improved target detection algorithm is proposed to address these issues. The algorithm introduces AKConv into the C2F module. …"

YOLOv5s. حسب Xinwei Wang (352488)

"…An improved target detection algorithm is proposed to address these issues. The algorithm introduces AKConv into the C2F module. …"

Partial Training Images of the Dataset. حسب Xinwei Wang (352488)

"…An improved target detection algorithm is proposed to address these issues. The algorithm introduces AKConv into the C2F module. …"

LKA Network Structure. حسب Xinwei Wang (352488)

"…An improved target detection algorithm is proposed to address these issues. The algorithm introduces AKConv into the C2F module. …"

Comparison diagram of detection accuracy. حسب Xinwei Wang (352488)

"…An improved target detection algorithm is proposed to address these issues. The algorithm introduces AKConv into the C2F module. …"