Efficient cooperative image transmission in one-way multi-hop sensor network

B Al-Hayani, H Ilhan - The International Journal of Electrical …, 2020 - journals.sagepub.com
… proposed a novel method of cooperative image transformation from the transmitter to the
receiver for wireless sensor networks. We designed the methods for multi-hop one-way relayed …

Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

H Jelodar, Y Wang, C Yuan, X Feng, X Jiang… - Multimedia tools and …, 2019 - Springer
… This paper [48], they introduced a novel method based LDA model to hashtag recommendation
on Twitter that can categories posts with them (hashtags). Lin et al. in [88] investigated …

A survey of community detection approaches: From statistical modeling to deep learning

D Jin, Z Yu, P Jiao, S Pan, D He, J Wu… - … on Knowledge and …, 2021 - ieeexplore.ieee.org
… [32] design a novel approach, based on CNNs and the topological characteristics of
adjacency matrices, for automatic community detection. Sun et al. [116] propose a probabilistic …

A novel wind speed forecasting based on hybrid decomposition and online sequential outlier robust extreme learning machine

D Zhang, X Peng, K Pan, Y Liu - Energy conversion and management, 2019 - Elsevier
… The framework of the proposed hybrid model This paper developed a novel approach which
combines HMD with OSORELM for wind speed forecasting, and the model is optimized by …

The feasibility of three prediction techniques of the artificial neural network, adaptive neuro-fuzzy inference system, and hybrid particle swarm optimization for …

H Moayedi, D Tien Bui, M Gör, B Pradhan… - … International Journal of …, 2019 - mdpi.com
… particle-based optimization of the artificial neural network (ANN) is investigated for slope
stability calculation. The results are also compared to another artificial intelligence technique of …

SSGRU: A novel hybrid stacked GRU-based traffic volume prediction approach in a road network

P Sun, A Boukerche, Y Tao - Computer Communications, 2020 - Elsevier
… Approximation of the input road network structure: in this step, the given road network will be
mapped to a tree topology based on our newly designed tree-based approximation method. …

[HTML][HTML] DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring

P Pławiak, M Abdar, J Pławiak, V Makarenkov… - Information …, 2020 - Elsevier
… In this paper, we introduce a novel methodology, named Deep Genetic Hierarchical Network
of Learners (… This paper presents a novel methodology, called Deep Genetic Hierarchical …

Hybrid intrusion detection system for edge-based IIoT relying on machine-learning-aided detection

H Yao, P Gao, P Zhang, J Wang, C Jiang, L Lu - IEEE Network, 2019 - ieeexplore.ieee.org
… , we propose a hybrid IDS architecture and introduce a machine learning aided detection
method, … Moreover, we describe the novel hybrid IDS architecture, followed by our conclusions. …

A short‐term load forecasting method based on GRU‐CNN hybrid neural network model

L Wu, C Kong, X Hao, W Chen - Mathematical problems in …, 2020 - Wiley Online Library
… was developed based on GRU models for electricity generation’s planning and operation.
And Wang proposed a novel approach to forecast short-term photovoltaic power based on …

Effective heart disease prediction using hybrid machine learning techniques

S Mohan, C Thirumalai, G Srivastava - IEEE access, 2019 - ieeexplore.ieee.org
… with machine learning techniques. In this paper, we propose a novel method that aims at
finding significant features by applying machine learning techniques resulting in improving the …