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Mohammad Azizpouryan
Takawira Njenda
A novel discrete deep learning-based intelligent methodology for energy consumption classification
Stock turning points classification using a novel discrete learning-based methodology
A novel discrete learning-based intelligent methodology for breast cancer classification purposes
Assessment of a generalized discrete time mixed ? -shock model for the multi-state systems
Determining sensitive substations in terms of power quality, including continuous and discrete disturbances
Face Recognition Using Discrete Consine Transfrom Plus Linear Discriminant Analysis
Face Recognition Using Discrete Consine Transfrom Plus Linear Discriminant Analysis
Face Recognition Using Discrete Consine Transfrom Plus Linear Discriminant Analysis
Event-triggered Fault Detection for Discrete-time Linear Multi-agent Systems
Design Boundary Layer Thickness and Switching Gain in SMC Algorithm for AUV Motion Control
Multi-Agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning
A three-dimensional study of the motion of a drop in plane Poiseuille flow at finite Reynolds numbers