It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Autonomic Computing.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Autonomic Computing.Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Short papers can either be work in progress, or position papers that motivate the community to address new challenges.
One paper among those that will be accepted for publication in the conference proceedings is going to be selected and awarded the Karsten Schwan Best Paper Award.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Autonomic Computing are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.
Scope and Topics Large-scale systems, such as mega data centers, computer clouds, cyber-physical systems, Internet of Things, are becoming increasingly complex and burdensome for people to manage.
Autonomic computing systems reduce this burden by managing their own behavior in accordance with high-level goals.
Please refer to the Paper Submission GUIDE before submitting your paper. Montaquila, Luigi Pavone 7) Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class Identification Abdelhadi Lotfi, Abdelkader Benyettou 8) Road Vehicle Recognition Using Magnetic Sensing Feature Extraction and Classification Xiao Chen, Xiaoying Kong, Min Xu 9) Affective Robots: Evaluation of Automatic Emotion Recognition Approaches on a Humanoid Robot towards Emotionally Intelligent Machines Silvia Santano Guillén, Luigi Lo Iacono, Christian Meder 10) Early Diagnosis of Alzheimer's Disease Using a Combination of Images Processing and Brain Signals E.
1) The Application of a Neural Network in the Reworking of Accu-Chek to Wrist Bands to Monitor Blood Glucose in the Human Body J.