Artificial intelligence techniques for predictive modeling of vector-borne diseases and its pathogens: a systematic review
Vector-borne diseases (VBDs) have a significant impact on human and animal health. VBD
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions
The explosive growth of data in volume, velocity and diversity that are produced by medical
applications has contributed to abundance of big data. Current solutions for efficient data …
applications has contributed to abundance of big data. Current solutions for efficient data …
Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
Monthly streamflow forecasting is required for short-and long-term water resources
management especially in extreme events such as flood and drought. Therefore, there is …
management especially in extreme events such as flood and drought. Therefore, there is …
Rolling bearing fault diagnosis using generalized refined composite multiscale sample entropy and optimized support vector machine
Z Wang, L Yao, Y Cai - Measurement, 2020 - Elsevier
Rolling bearing fault diagnosis is an important and time sensitive task, to ensure the normal
operation of rotating machinery. This paper proposes a fault diagnosis for rolling bearings …
operation of rotating machinery. This paper proposes a fault diagnosis for rolling bearings …
A two-stage fault diagnosis methodology for rotating machinery combining optimized support vector data description and optimized support vector machine
J Zhang, Q Zhang, X Qin, Y Sun - Measurement, 2022 - Elsevier
Most intelligent fault diagnosis methods of rotating machinery generally consider that normal
samples and fault samples as equally important for pattern recognition training. It ignores …
samples and fault samples as equally important for pattern recognition training. It ignores …
Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
The present study proposes a new hybrid evolutionary Adaptive Neuro-Fuzzy Inference
Systems (ANFIS) approach for monthly streamflow forecasting. The proposed method is a …
Systems (ANFIS) approach for monthly streamflow forecasting. The proposed method is a …
Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
An accurate computational approach for the prediction of pan evaporation over daily time
horizons is a useful decisive tool in sustainable agriculture and hydrological applications …
horizons is a useful decisive tool in sustainable agriculture and hydrological applications …
Phishing website detection using support vector machines and nature-inspired optimization algorithms
S Anupam, AK Kar - Telecommunication Systems, 2021 - Springer
Phishing websites are amongst the biggest threats Internet users face today, and existing
methods like blacklisting, using SSL certificates, etc. often fail to keep up with the increasing …
methods like blacklisting, using SSL certificates, etc. often fail to keep up with the increasing …
Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point
MA Ghorbani, S Shamshirband, DZ Haghi… - Soil and Tillage …, 2017 - Elsevier
Soil field capacity (FC) and permanent wilting point (PWP) are significant parameters in
numerous biophysical models and agricultural activities. Although these parameters can be …
numerous biophysical models and agricultural activities. Although these parameters can be …
A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration
W Chen, M Hasanipanah, H Nikafshan Rad… - Engineering with …, 2021 - Springer
This study aims to identify the suitability of hybridizing the firefly algorithm (FA), genetic
algorithm (GA), and particle swarm optimization (PSO) with two well-known data-driven …
algorithm (GA), and particle swarm optimization (PSO) with two well-known data-driven …