Early detection of cancer is the most promising way to enhance a patient's chance for
survival. This paper presents a computer aided classification method in computed …

This paper presents the development of an artificial neural network (ANN) model based on
the multi-layer perceptron (MLP) for analyzing internet traffic data over IP networks. We …

A method for classifying flow regimes is proposed that employs a neural network with inputs
of extracted features from Doppler ultrasonic signals of flows using either the Discrete …

Solar systems are influenced by their functioning temperature, which is mainly a result of the
ambient air temperature as well as the level of sunlight. For this reason, we have proposed …

The present paper presents a Computer-Aided Design (CAD) system that detects lung
cancer. Lung cancer detection uses Multi-Layer (ML), Neural Networks (NNs) and …

Recent advancements in very large scale integration (VLSI) technologies have made it
feasible to integrate millions of transistors on a single chip. This greatly increases the circuit …

Phased antenna array design is one of the most important electromagnetic optimization
problems. This research combined the Taguchi method and artificial intelligence methods …

In the design of digital circuits, transistor level faults occur due to open or shorted connection
in the transistor terminals and with the variations in the transistor parameters. In this study …

The cost of manufacturing Integrated Circuit (IC) is affected strongly by the test time, cost of
test equipment and test procedure development. Mixed Signal Integration in an IC has …

Ammonia emissions at the national level are frequently estimated by applying the emission
inventory approach, which includes the use of emission factors, which are difficult and …