There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …

Objective To perform a comprehensive review of the use of artificial intelligence (AI) and
machine learning (ML) in dentistry, providing the community with a broad insight on the …

In any aquatic system analysis, the modelling water quality parameters are of considerable
significance. The traditional modelling methodologies are dependent on datasets that …

The growing number of contaminated sites across the world pose a considerable threat to
the environment and human health. Remediating such sites is a cumbersome process with …

We describe in this paper a hybrid intelligent approach for forecasting COVID-19 time series
combining fractal theory and fuzzy logic. The mathematical concept of the fractal dimension …

This paper provides a state-of-the-art literature review on economic analysis and pricing
models for data collection and wireless communication in Internet of Things (IoT). Wireless …

To accurately rank various web services can be a very challenging task depending on the
evaluation criteria used, however, it can play an important role in performing a better …

This paper couples an adaptive neuro-fuzzy inference system (ANFIS), with two heuristic-
based computation methods namely biogeography-based optimization (BBO) and BAT …

The Internet of Things (IoT) is an emerging classical model, envisioned as a system of
billions of small interconnected devices for posing the state-of-the-art findings to real-world …

Fog computing is a modern computing model which offers geographically dispersed end-
users with the latency-aware and highly scalable services. It is comparatively safer than …