Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Applying neural network technology to binary similarity detection has become a promising search topic, and vulnerability detection is an important application field of binary similarity detection.

In this letter, a binary descriptor-based approach is proposed to provide change detection in bitemporal optical satellite images. Multitemporal satellite images suffer from illumination variation. In ...

Objective We aim to assess the cerebral oxygen extraction fraction (OEF) changes in patients with systemic lupus erythematosus (SLE) and neuropsychiatric SLE (NPSLE) by using an MRI-based technique ...

Al-Shehari, T. and Alsowail, R.A. (2021) An Insider Data Leakage Detection Using One-Hot Encoding, Synthetic Minority Oversampling and Machine Learning Techniques. Entropy, 23, Article 1258.

Every “thought” an AI generates results from operations on binary values: 0s and 1s. This binary encoding limits the scope of AI's “understanding” to what can be formalized, quantified ...