Over the past few years, neural networks have exhibited remarkable results for various
applications in machine learning and computer vision. Weight initialization is a significant …

BACKGROUND The advanced oxidation process using photocatalysts has been proven to
be an efficient technique used for the degradation of organic pollutants in wastewater …

Arabic handwriting recognition is still a challenging task due especially to the unlimited
variation in human handwriting, the large variety of Arabic character shapes, the presence of …

The recent progress of low-power neuromorphic hardware provides exceptional conditions
for applications where their focus is more on saving power. However, the design of spiking …

Accurately predicting the forces and moments acting on trailing-edge devices under different
flight conditions is a critical aspect in the design of the kinematics and actuation for high-lift …

Deep neural networks (DNNs) are a powerful tool for solving complex problems. The
effectiveness of DNNs largely depends on the initialization technique used. This research …

In order to develop an efficient computer-aided diagnosis system for detecting left-sided and
right-sided sensorineural hearing loss, we used artificial intelligence in this study. First, 49 …

Modern deep convolutional neural networks (CNNs) are often designed to be scalable,
leading to the model family concept. A model family is a large (possibly infinite) collection of …

The diffusion of the Internet of Things paradigm, in the last few years, has led to the need of
deploying and managing large-scale Wireless Sensor Networks (WSNs), composed by a …

Even nowadays, people have only a very limited understanding about animal
communication. Scientists are still far from identifying statistically relevant, animal-specific …