Smart cities and artificial intelligence (AI) are among the most popular discourses in urban
policy circles. Most attempts at using AI to improve efficiencies in cities have nevertheless …

Predicting traffic incident risks at granular spatiotemporal levels is challenging. The datasets
predominantly feature zero values, indicating no incidents, with sporadic high-risk values for …

Air pollution stands as a pressing issue in contemporary times, leading to the loss of millions
of lives and exerting detrimental effects on the economy. The aerosols especially particulate …

Technological innovations, including the Internet of Things (IoT) and machine learning, have
facilitated the emergence of autonomous systems, promoting triple bottom line (TBL) …

The design of regional plans is a difficult task combining political, economic, sociological
and technological aspects. From decades, computers have been used for this task: at the …

This paper evaluates subjective quality of life using various Machine Learning (ML)
techniques. Utilizing a survey conducted in Quito's historical downtown and adopting …

Dalam beberapa tahun terakhir Named Entity Recognition (NER) menjadi teknik penting
dalam pengolahan ekstraksi informasi pada berbagai macam domain. Penelitian NER …

Digital transformation has continued to make a remarkable impact on industries, creating
new possibilities and improving the performance of existing ones. Recently, we have seen …

The development of artificial intelligence in the field of health encourages the use of
electronic medical records in all health facilities to record health services provided to …

Many software projects utilize Bug Tracking System (BTS) to manage and process bug
reports. Over the years, the number of bug report submissions has largely increased with …