Performing first-principles calculations to discover electrodes’ properties in the large chemical space is a challenging task. While machine learning (ML) has been applied to effectively accelerate those discoveries, most ...

The performance of neuro-fuzzy traffic signal control at two independent traffic junctions is discussed. In this work, traffic conditions at two 4-way traffic junctions were simulated and flow of traffic on the road ...

SYNOPISIS. To investigate the change in the surface properties of cadmium telluride when an atom is adsorbed onto a cadmium or mercury telluride when an atom is adsorbed onto a cadmium or mercury terminated (111) surface, ...

Synchrotron x-ray radiation is being used extensively as a structure probe to investigate the coordination environment and thus gain insight into the ion–water and ion–ion interactions in aqueous solutions. However, under ...

This study attempts to model the daily rainfall climatology of Sri Lanka using Markov models at three selected weather stations where long term data records were available. Both the first and the second order Markov ...

An artificial neural network model developed to forecast river flow/discharge is presented. The model is based on the feed-forward, back-propagation network architecture optimized through a conjugated training algorithm. ...

Abstract—Thunder signatures have been categorized into three types using recorded peak pressure. The variation in fundamental frequency initiated by ground flashes has been studied by using an acoustic spectrum of ...

A simulation and a pilot scale implementation of a vision based robot navigation system was carried out to determine the feasibility and the efficiency of using optical flow based algorithms on autonomous robot navigation. ...

Passive Light Detection and Ranging (LIDAR) has successfully been used for observing insects and their activities. It was reported that such techniques are more efficient compared to traditional approaches. Quadrant Photo ...