Photonic implementations of reservoir computing (RC) promise to reach ultra-high
bandwidth of operation with moderate training efforts. Several optoelectronic demonstrations …

Despite high-profile successes in the field of Artificial Intelligence, machine-driven
technologies still suffer important limitations, particularly for complex tasks where creativity …

Manufacturing is changing quickly in parallel with market trends. Precise forecasting is
critical for suppliers, impacting the worldwide supply chain network-a range of products …

" Order is an Artificial Intelligence (AI) strategy for predicting crowd enrolment for information
events. Neural organisations are presented to improve on the issue of arrangement. This …

This study employs robust machine learning techniques to comprehensively assess the
classification of Iris flower species. This study investigates the effectiveness of several …

Internet of Things (IoT) devices are constantly producing vast amounts of data, necessitating
efficient storage and processing to extract useful information. However, the models used to …

Government agencies are required to mobilize every aspect of publication which is carried
out every year which must be accounted for and also carried out for each device that …

The iris dataset will be classified using the support vector machine and decision tree
algorithms. flower dataset identifies the pattern and classifies it. The dataset has 150 rows …

With the rapid growth of government agencies that are required to carry out an activity in
every aspect that publishes and carries out obligations every year, it is required to be held …

Deep learning is an area that is developing extremely fast and in parallel with the increasing
computing power of modern computer systems. Deep learning algorithms work well in …