Prediction-based decisions, which are often made by utilizing the tools of machine learning, influence nearly all facets modern life. Ethical concerns about this widespread practice have given rise to field fair learning and a number fairness measures, mathematically precise definitions that purport determine whether prediction-based decision system is fair. Following Reuben Binns (2017), we ta...

The Journal of Smart Environments and Green Computing is an international, peer-reviewed, open access journal which provides a forum for the publication papers addressing variety theoretical, methodological, epistemological, empirical practical issues. following topics are especially welcome: green computing, sustainable energy efficiency, decision making, cloud smart cities, renewable energy, ...

Many practical applications benefit from machine learning and artificial intelligence technologies, but their security needs to be studied in more depth. We discuss the risk of poisoning attacks against training stage challenges defending them.

a multi objective honey bee mating optimization (hbmo) designed by online learning mechanism is proposed in this paper to optimize the double fuzzy-lead-lag (fll) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. the proposed double fll stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...

dna sequence, containing all genetic traits is not a functional entity. instead, it transfers to protein sequences by transcription and translation processes. this protein sequence takes on a 3d structure later, which is a functional unit and can manage biological interactions using the information encoded in dna. every life process one can figure is undertaken by proteins with specific functio...

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...