Improved algorithm for permutation testingXiaojin Zhang
The pseudo-random bits generated in (1) are used to generate a 16-bit random permutation using the random permutation generation algorithm (Bacher et al.2017), denoted assj(j = 1, 2), as the S-layer in the lookup table. In the Additional file1, we give an example of the random...
Effective social spider optimization algorithms for distributed assembly permutation flowshop scheduling problem in automobile manufacturing supply chain Article Open access 16 March 2024 A GAN-based genetic algorithm for solving the 3D bin packing problem Article Open access 02 April 2024 Introduction...
test case of the query “brin”, the augmented query became “brin sergey google”, and the final sorted augmented query because “sergey brin google”, which was the behavior we were hoping for. Other modifications to our algorithm that we considered implemented given more time and energy ...
Compared with the traditional permutation entropy algorithm, the algorithm has the advantages of stable classification, high flexibility and fast computing speed. The wavelet transform method17,18 also has many applications in transformer vibration monitoring. Complex Morlet wavelet was used to process the...
Based on the combination of the language model, the proposed IMTLM-Net algorithm introduces a hyphenated annotation strategy for multi-task training to handle special character recognition. Additionally, the LM unit is introduced to learn the localized features of handwritten English in the decoding ...
The algorithm used multimodal medical images [structural magnetic resonance imaging (sMRI) and positron emission tomography (PET)] as experimental data. Deep feature representations of sMRI and PET images are extracted by 3D convolution neural network (3DCNN). An improved Transformer is then used to...
It tests multiple features of different types, such as complex envelope spectrum, statistical time- and frequency-domain parameters, as well as wavelet packet analysis, together with a feature selection algorithm. A fault classification database was used as testbed, and three different classifiers (...
To tackle these difficulties, a unique BNER model that integrates a hierarchical ResNet model with a Bi-GRU-based architecture and an Improved Green Anaconda algorithm is recommended to optimize performance. This model can significantly improve BNER and downstream applications in biomedical text ...
(BER) of the list decoding procedure is even worse than the unique decoding algorithm when the list size is small. In this paper, we propose an improved version of the list decoding algorithm for BCH codes and punctured RM codes. Our new proposal significantly reduces the BER while ...