Attention-based deep learning for tire defect detection: Fusing local and global features in an industrial case study.

Efficient white blood cell identification with hybrid inception-xception network.

End-to-end tire defect detection model based on transfer learning techniques.

Enhancing aerial robots performance through robust hybrid control and metaheuristic optimization of controller parameters.

Classification of CNC Vibration Speeds by Heralick Features.

Classification of the brain metastases based on a new 3D deep learning architecture.

A new automatic bearing fault size diagnosis using time-frequency images of CWT and deep transfer learning methods.

A new feature extraction approach based on one dimensional gray level co-occurrence matrices for bearing fault classification.

Classification of bearing vibration speeds under 1D-LBP based on eight local directional filters.

An improved feature extraction method using texture analysis with LBP for bearing fault diagnosis.

Prediction of fetal state from the cardiotocogram recordings using adaptive neuro-fuzzy inference systems.

ANN- and ANFIS-based multi-staged decision algorithm for the detection and diagnosis of bearing faults.

An adaptive neuro-fuzzy inference system model for predicting the performance of a refrigeration system with a cooling tower.

Using adaline neural network for performance improvement of smart antennas in TDD wireless communications.