Cancer is the illness that impacts people the most. Previous attempts for evaluating cancer
disorders aided in determining what progressions should be performed on people with a …

Sanskrit, one of the oldest of human languages, has an algorithmic, calculus like grammar
which resembles a computer program. In this paper, we propose a model for machine …

Considering the importance of approximating the pull-in instability occurrence through
determining its respective threshold voltage in nano-structures, this work proposes the use …

In this work an artificial neural network (ANN) based approach is proposed for prediction of
alcohol user. Two ANN modules are designed, ANN-D to predict a person is an alcohol user …

Robot manipulators are robotic systems that are frequently used in automation systems and
able to provide increased speed, precision, and efficiency in the industrial applications. Due …

Featured Application Development of a systematic procedure to synthesize the Inverse
Kinematic Model of non-redundant open-chain robotic systems by the application of …

Abstract Rapid dissemination of Artificial Intelligence (AI) and machine learning in real-world
problems has raised a concern about the reliability aspects of the model. A separate sub …

In this paper, a model-free control policy for tracking problem in robotic manipulators with
any numbers of degree-of-freedom (DOF) is proposed. Here, it is assumed that the dynamics …

This paper presents a novel strategy for gene selection in cancer classification by integrating
the Northern Goshawk Algorithm (NGHA) with microarray datasets. The primary objective is …

Abstract This article proposes Multi-Fuzzy Sets and Neural Networks as a collaborative tool
for generating artificial intelligence. The study illustrates the integration of fuzziness and …