The prevalence of artificial intelligence applications using artificial neural network
architectures for functions such as natural language processing, text prediction, object …

Background Chest CT is considered to be a more accurate method for diagnosing
suspected patients. However, with the spread of the epidemic, traditional diagnostic …

Titanium alloys have become an indispensable material for all walks of life because of their
excellent strength and corrosion resistance. However, grinding titanium alloy is exceedingly …

Spiking neural networks (SNNs) are more energy-and resource-efficient than artificial neural
networks (ANNs). However, supervised SNN learning is a challenging task due to non …

Aquaponics is an emerging area of agricultural sciences that combines aquaculture and
hydroponics in a symbiotic way to enhance crop production. A stable smart aquaponic …

Nowadays, the data flow architecture is considered as a general solution for the acceleration
of a deep neural network (DNN) because of its higher parallelism. However, the …

Numerous factors, including sudden load reductions, switching transient loads, lightning
strikes, and malfunctions of control devices, can result in overvoltage. Overvoltage can harm …

Structural health monitoring (SHM) technology has been widely used in civil engineering,
and vibration-based damage detection (VBDD) technology is an important component of …

The accuracy and hardware efficiency of a neural system depends critically on the choice of
an activation function. Rectified linear unit (ReLU) is a contemporary activation function that …

A model of a convolutional neural network, a dataset for neural network training, and a
software tool for the classification of typical insect pests have been developed, which allows …