To date, cancer of uterine cervix is still a leading cause of cancer-related deaths in women worldwide. The current methods (i.e., Pap smear and liquid-based cytology (LBC)) to screen for cervical cancer are time-consuming and dependent on the skill of the cytopathologist and thus are rather subjective. Therefore, this paper presents an intelligent computer vision system to assist pathologists ...

Modeling and optimization of a process with multiple outputs is discussed in this paper. A neuro-fuzzy system named MANFIS, which comprises a fuzzy inference structure and neural network learning ability, is used to model a multiple output process. Optimization of such a process is formulated as a multiple objective decision making problem, and a genetic algorithm and a numerical method are int...

This paper presents a Multiple Adaptive Neuro-Fuzzy Inference System (MANFIS)-based method for regulating the handling force of common object. The foundation this is prediction inverse dynamics cooperative robotic system made up two 3-DOF manipulators. Considering no slip in contact between tool and object, an object moved. to create feed MANFIS database, kinematics dynamic equations motion clo...

Pyrite oxidation, Acid Rock Drainage (ARD) generation, and associated release and transport of toxic metals are a major environmental concern for the mining industry. Estimation of the metal loading in ARD is a major task in developing an appropriate remediation strategy. In this study, an expert system, the Multi-Output Adaptive Neuro-Fuzzy Inference System (MANFIS), was used for estimation of...

This paper presents the novel design of an ambidextrous robot arm that offers double range motion as compared to dexterous arms. The is unique in terms (ambidextrous feature), actuation (use two different actuators simultaneously: Pneumatic Artificial Muscle (PAM) and Electric Motors)) control (combined use Proportional Integral Derivative (PID) with Neural Network (NN) Multiple Adaptive Neuro-...

Inverse kinematics of robots is a critical topic in the robotics field. Although there are conventional ways solving inverse kinematics, soft computing an important technology that has lately gained prominence due to its ability reduce complexity problem. This paper presents solution using multiple adaptive neuro-fuzzy inference systems (MANFIS). Different models were established by employing v...

The lane change maneuver is among the most popular driving behaviors. It is also the basic element of important maneuvers like overtaking maneuver. Therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (MANFIS) are proposed for this behavior. These models are able to simulate and predict the future behavior of a Driver...

Determining the distribution of heavy metals in groundwater is important in developing appropriate management strategies at mine sites. In this paper, the application of artificial intelligence (AI) methods to data analysis,namely artificial neural network (ANN), hybrid ANN with biogeography-based optimization (ANN-BBO), and multi-output adaptive neural fuzzy inference system (MANFIS) to estima...

determining the distribution of heavy metals in groundwater is important in developing appropriate management strategies at mine sites. in this paper, the application of artificial intelligence (ai) methods to data analysis,namely artificial neural network (ann), hybrid ann with biogeography-based optimization (ann-bbo), and multi-output adaptive neural fuzzy inference system (manfis) to estima...