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Understanding the effects of negative (and positive) pointwise mutual information on word vectors
Taylor & Francis Verlag | 2023| -
A computer aided plant leaf classification based on optimal feature selection and enhanced recurrent neural network
Taylor & Francis Verlag | 2023| -
The role of an ant colony optimisation algorithm in solving the major issues of the cloud computing
Taylor & Francis Verlag | 2023| -
Early diagnosis of COVID-19 patients using deep learning-based deep forest model
Taylor & Francis Verlag | 2023| -
HLA: a novel hybrid model based on fixed structure and variable structure learning automata
Taylor & Francis Verlag | 2023| -
A classification-based fuzzy-rules proxy model to assist in the full model selection problem in high volume datasets
Taylor & Francis Verlag | 2022| -
SPMNet: A light-weighted network with separable pyramid module for real-time semantic segmentation
Taylor & Francis Verlag | 2022| -
Credit Card Fraud Detection under Extreme Imbalanced Data: A Comparative Study of Data-level Algorithms
Taylor & Francis Verlag | 2022| -
Human detection based on deep learning YOLO-v2 for real-time UAV applications
Taylor & Francis Verlag | 2022| -
Robust H∞ performance for discrete time T-S fuzzy switched memristive stochasticneural networks with mixed time-varying delays
Taylor & Francis Verlag | 2021| -
A stigmergetic method based on vector pheromone for target search with swarm robots
Taylor & Francis Verlag | 2020| -
Prediction of stock movement using phase space reconstruction and extreme learning machines
Taylor & Francis Verlag | 2020| -
Towards effective resolution approaches for solving the sum coloring problem
Taylor & Francis Verlag | 2020| -
Blind separation of speech from aortic regurgitation signals using Dhoulath’s method
Taylor & Francis Verlag | 2024| -
An opposition-based chaotic Grey Wolf Optimizer for global optimisation tasks
Taylor & Francis Verlag | 2019| -
Knowledge-oriented task and motion planning for multiple mobile robots
Taylor & Francis Verlag | 2019|
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