The sensor subset selection problem is a crucial task in the field of sensor systems, where
the goal is to choose a subset of sensors from a larger pool such that the spatial estimation …

The uniqueness of social interactions on online social networks draws attention to
cybersecurity research. Social Behavioral Biometric (SBB) systems extract unique patterns …

This study introduced the Inversed Bi-segmented Average Crossover (IBAX), a novel
crossover operator that enhanced the offspring generation of the genetic algorithm (GA) for …

To develop medium-Mn steels with an ultimate tensile strength (UTS) exceeding 2 GPa and
excellent ductility, we created a highly accurate UTS prediction machine learning (ML) …

The problem of balancing the average weighted completion times of two classes of jobs is
an NP-hard scheduling problem that was very recently introduced in the literature …

Recently, program autotuning has become very popular especially in embedded systems,
when we have limited resources such as computing power and memory where these …

Optimizing the single objective flow shop scheduling problem requires determining the best
sequence of operations across several machines in a manufacturing environment to achieve …

Electric micromobility, both as a private option and as a shared service, can represent an
alternative to cars, particularly for given user groups (market segments) and specific classes …

A new selection strategy for multi objective genetic algorithm: MultiMoora Rank selection Page 1
Journal of the Faculty of Engineering and Architecture of Gazi University 37:4 (2022) 2119-2131 …

For taking actions to reduce noise, knowledge of the distribution, position and strength of the
sound sources is necessary. Thereby, various sound localization methods can be used for …