Weather forecasting, as an important and indispensable procedure in people's daily lives,
evaluates the alteration happening in the current condition of the atmosphere. Big data …

Impairment and a substantial decline in the mobility, independence, and quality of life of an
elderly person. In this regard, the current work suggests a novel IoT-based system that …

Weather forecasting plays a significant role in different aspects of life such as in the
operation of hydro-power plants, renewable energy, flood management, and agriculture …

The emerging of new models in machine learning enhances the performance of algorithms
proposed to address several challenging tasks such as object recognition, classification and …

Abstract The Residual Long Short Term Memory (LSTM) deep learning approach is
attracting attension of many researchers due to its efficiency when trained on high …

The use of machine learning models to predict clinical outcomes from (longitudinal)
electronic health record (EHR) data is becoming increasingly popular due to advances in …

Currently, the primary concerns on the Internet are security and privacy, particularly in
encrypted communications to prevent snooping and modification of Domain Name System …

The evaluation of precipitation using conventional approaches encounters various
challenges stemming from limited financial resources, restricted geographic coverage, and …

Data stream classification is a complex task in the real world due to its varying
characteristics. The most common challenges are concept drift and class imbalance …

Microarray cancer data poses many challenges for machine-learning (ML) classification
including noisy data, small sample size, high dimensionality, and imbalanced class labels …