Rapid growth in technology has changed the way humans live. Ongoing development in the
automobile industry is creating intelligent vehicles and this mode of transportation will assist …

A wireless sensor network is a wireless communication network, and each sensor node has
several sensors to collect environmental information. Wireless sensor network nodes have …

Industrial robots have a great impact on increasing the productivity and reducing the time of
the manufacturing process. To serve this purpose, in the past decade, many researchers …

In this paper, a novel adaptive stable backstep** controller (BSC) based on support vector
regression (SVR) has been introduced for nonlinear dynamical systems. Stable BSC is …

In this research, a new machine-learning approach was proposed to evaluate the effects of
eight input parameters (surface area, relative compactness, wall area, overall height, roof …

RFID technology as a gadget of IoT has been utilized in modern manufacturing to enable
manufacturers to track and identify objects or parts to get the required data. Fulfillment of this …

An ensemble technique namely gradient boosted tree (GBTs) and several optimized neural
network models were hybridized to predict peak particle velocity (PPV) caused by quarry …

In recent decades, obstacle avoidance has been one of the main challenges in autonomous
vehicle navigation, which has been used in a wide range of different autonomous devices …

The component's measurement is a step in the manufacturing process where the product's
quality is significantly impacted by measurement uncertainty factors like operator skill, the …

Determining effective power generation while reducing emissions, voltage deviations, and
preserving transmission line voltage stability is the goal of the proposed effort. In this …