Development of empirical mode decomposition based neural network for power quality disturbances classification
Faqih Rofii, Agus Naba, Hari Arief Dharmawan, Fachrudin Hunaini The complexity of the electric power network causes a lot of distortion, such as a decrease in power quality (PQ) in the form of voltage variations, harmonics, and frequency fluctuations. Monitoring the distortion source is important to ensure the availability of clean and quality electric power. […]
Iris recognition method based on segmentation
Ans Ibrahim Mahameed, Mohammed Kassim Ahmed, Noor Basim Abdullah The development of science and studies has led to the creation of many modern means and technologies that focused and directed their interests on enhancing security due to the increased need for high degrees of security and protection for individuals and societies. Hence identification using a […]
COMPARISON OF DT& GBDT ALGORITHMS FOR PREDICTIVE MODELING OF CURRENCY EXCHANGE RATES
Maan Y. Anad Alsaleem, Safwan O. Hasoon Recently, many uses of artificial intelligence have appeared in the commercial field. Artificial intelligence allows computers to analyze very large amounts of information and data, reach logical conclusions on many important topics, and make difficult decisions, this will help consumers and businesses make better decisions to improve their […]