[HTML][HTML] Application of AI techniques and robotics in agriculture: A review

M Wakchaure, BK Patle, AK Mahindrakar - Artificial Intelligence in the Life …, 2023 - Elsevier
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) …

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 …

A global best-guided firefly algorithm for engineering problems

M Zare, M Ghasemi, A Zahedi, K Golalipour… - Journal of Bionic …, 2023 - Springer
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 …

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 …

Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network

W Wang, M Zhao, J Wang - Journal of Ambient Intelligence and …, 2019 - Springer
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 …

Improving artificial bee colony algorithm using a new neighborhood selection mechanism

H Wang, W Wang, S Xiao, Z Cui, M Xu, X Zhou - Information Sciences, 2020 - Elsevier
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 …

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 …

Yin-Yang firefly algorithm based on dimensionally Cauchy mutation

W Wang, L Xu, K Chau, D Xu - Expert Systems with Applications, 2020 - Elsevier
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 …

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 …

Multi-strategy firefly algorithm with selective ensemble for complex engineering optimization problems

H Peng, W Xiao, Y Han, A Jiang, Z Xu, M Li, Z Wu - Applied Soft Computing, 2022 - Elsevier
Nowadays, more and more optimization techniques are used to deal with complex
engineering optimization problems. Firefly algorithm (FA) inspired by the flash …