Author Archive

ICSES 2020 : Scopus-Indexed Springer International Conference on Sustainable Expert Systems [ICSES 2020]

Sustainable Technology Sustainable Data Centers Artificial Intelligence for Sustainability Computing for Sustainability Energy-Efficient Software Engineering Practices Environmentally sustainable technologies Sustainability aware system development Sustainable process control and automation Sustainable practices in future generation smart systems Reliable and Energy-efficient systems Sustainable Informatics and Optimization Security, privacy, and trust Sustainable Communication Models Sustainable Management ...Read More

Discrete Simulation of Fluid Dynamics: methods and applications

Since its inception in 1986, the Discrete Simulation of Fluid Dynamics (DSFD) series of conferences represents a premier forum for the computational study of the physics of fluids at large, from macroscopic turbulence, to microfluids all the way down to nanofluids of biological interest. A distinguishing characteristic of DSFD series of conferences ...Read More

Advances in Deep Learning Based Speech Processing

Deep learning has triggered a revolution in speech processing. The revolution started from the successful application of deep neural networks to automatic speech recognition, and was quickly spread to other topics of speech processing, including speech analysis, speech denoising and separation, speaker and language recognition, speech synthesis, and spoken language understanding. This ...Read More

Deep Learning with Small Samples

1. Summary and Scope In machine learning and computer vision fields, due to the rapid development of deep learning, recent years have witnessed breakthroughs for large-sample classification tasks. However, it remains a persistent challenge to learn a deep neural network with good generalizability from only a small number of training samples. In ...Read More

Advances of Neurocomputing for Smart Cities

1. Summary and Scope In recent years, urban environments have been reimagined as “Smart cities of the future” with the intelligent computation capacity to monitor, learn about, and adapt to the people that inhabit them. Innovations in information and communication technologies have made cities smarter at being able to run their systems ...Read More

Deep Dictionary Learning: Algorithm, Theory and Application

Summary and Scope: Dictionary Learning (DL) is a long-standing popular topic for visual image representation due to its great success to image restoration, de-noising and classification, etc. DL aims at representing data using a linear combination of a few highly correlated atoms in a dictionary D. But how to obtain a desired ...Read More

Artificial Intelligence: The Security & Privacy Opportunities and Challenges for Emerging Applications

Introduction In recent years, the collection, processing, and analysis of personal data have become greatly convenient and widespread, as the continuous advancement of emerging applications such as social networks, Internet of Things (IoT), and cloud computing. This also make sensitive information more vulnerable to abuses, and thus secure mechanisms and technologies tailored for ...Read More

Graph-Powered Machine Learning in Future-Generation Computing Systems

Recent years have witnessed a dramatic increase of graph applications due to advancements in information and communication technologies. In a variety of applications, such as social networks, communication networks, internet of things (IOTs), and human disease networks, graph data contains rich information and exhibits diverse characteristics. Specifically, graph data may come with ...Read More

Applying Machine Learning for Combating Fake News and Internet/Media Content Manipulation

Nowadays, societies, businesses and citizens are strongly dependent on information, and information became one of the most crucial (societal and economical) values. People expect that both traditional and online media provide trustful and reliable news and content. The right to be informed is one of fundamental requirements allowing for taking right decisions ...Read More

Soft Computing for Recommender Systems and Sentiment Analysis

Overview The World Wide Web is becoming a bottomless source of unstructured data, with quintillions of bytes of data generated daily and publicly accessible. Social media, customer reviews and online news articles, as well as the comments associated with them, are just some examples of what the Internet is producing in terms ...Read More