Background Food flavor is a key factor affecting sensory quality. Predicting and regulating
flavor can result in exceptional flavor characteristics and improve consumer preferences and …

Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward
neural network (SLFN), which converges much faster than traditional methods and yields …

Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

The recent advancements in the fields of artificial intelligence (AI) and machine learning
(ML) have affected several research fields, leading to improvements that could not have …

An automatic encoder (AE) extreme learning machine (ELM)-AE-ELM model is proposed to
predict the NOx emission concentration based on the combination of mutual information …

Brain cancer classification is an important step that depends on the physician's knowledge
and experience. An automated tumor classification system is very essential to support …

With the development of the Internet-of-Things (IoT) technology, the applications of gas
sensors in the fields of smart homes, wearable devices, and smart mobile terminals have …

Computer-aided diagnosis system is becoming a more and more important tool in clinical
treatment, which can provide a verification of the doctors' decisions. In this paper, we …

Intrusions in computer networks have increased significantly in the last decade, due in part
to a profitable underground cyber-crime economy and the availability of sophisticated tools …

The main computational cost of building a support vector machine (SVM) training model lies
in tuning the hyperparameters, including the kernel parameters and penalty constant C. This …