[HTML][HTML] Application of AI techniques and robotics in agriculture: A review
The aim of the proposed work is to review the various AI techniques (fuzzy logic (FL),
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …
A survey on federated learning: challenges and applications
J Wen, Z Zhang, Y Lan, Z Cui, J Cai… - International Journal of …, 2023 - Springer
Federated learning (FL) is a secure distributed machine learning paradigm that addresses
the issue of data silos in building a joint model. Its unique distributed training mode and the …
the issue of data silos in building a joint model. Its unique distributed training mode and the …
A global best-guided firefly algorithm for engineering problems
Abstract The Firefly Algorithm (FA) is a highly efficient population-based optimization
technique developed by mimicking the flashing behavior of fireflies when mating. This article …
technique developed by mimicking the flashing behavior of fireflies when mating. This article …
A stacking-based ensemble learning method for earthquake casualty prediction
S Cui, Y Yin, D Wang, Z Li, Y Wang - Applied Soft Computing, 2021 - Elsevier
The estimation of the loss and prediction of the casualties in earthquake-stricken areas are
vital for making rapid and accurate decisions during rescue efforts. The number of casualties …
vital for making rapid and accurate decisions during rescue efforts. The number of casualties …
Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network
Android security incidents occurred frequently in recent years. To improve the accuracy and
efficiency of large-scale Android malware detection, in this work, we propose a hybrid model …
efficiency of large-scale Android malware detection, in this work, we propose a hybrid model …
Improving artificial bee colony algorithm using a new neighborhood selection mechanism
Artificial bee colony (ABC) and its most modifications use a probability method to select
good food sources (called solutions) in the onlooker bee search phase. However, the …
good food sources (called solutions) in the onlooker bee search phase. However, the …
A survey on firefly algorithms
J Li, X Wei, B Li, Z Zeng - Neurocomputing, 2022 - Elsevier
Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The
literature has expanded significantly in the past few years. This paper provides a timely …
literature has expanded significantly in the past few years. This paper provides a timely …
Yin-Yang firefly algorithm based on dimensionally Cauchy mutation
Firefly algorithm (FA) is a classical and efficient swarm intelligence optimization method and
has a natural capability to address multimodal optimization. However, it suffers from …
has a natural capability to address multimodal optimization. However, it suffers from …
Assessing the sustainability of renewable energy: An empirical analysis of selected 18 European countries
Q Wang, L Zhan - Science of the Total Environment, 2019 - Elsevier
There are many studies on the sustainability of renewable energy, mainly focusing on
energy supply, economic, social, environmental and technological aspects, but there are few …
energy supply, economic, social, environmental and technological aspects, but there are few …
Multi-strategy firefly algorithm with selective ensemble for complex engineering optimization problems
Nowadays, more and more optimization techniques are used to deal with complex
engineering optimization problems. Firefly algorithm (FA) inspired by the flash …
engineering optimization problems. Firefly algorithm (FA) inspired by the flash …