Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …

Traffic flow data is a decisive element in transportation planning and traffic management.
Over time, traffic sensors have been recognized as sources of such data. Despite their …

Recently, ConvNeXts constructing from standard ConvNet modules has produced
competitive performance in various image applications. In this paper, an efficient model …

Abstract The Particle Swarm Optimization technique (PSO) is widely used in practical
applications due to its flexibility and strong optimization performance. However, like other …

COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …

The shuffled frog lea** algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …

The sine cosine algorithm (SCA) is a well-known meta-heuristic optimization algorithm. SCA
has received much attention in various optimization fields due to its simple structure and …

Wind resource is one of the most promising renewable energy, which has become a suitable
replacement for fossil fuels. Optimizing the transferring wind energy from a wind turbine is …

Abstract Circular Intuitionistic Fuzzy Set (C-IFS) is the real extension of the standard
Intuitionistic Fuzzy Sets (IFS), where each element is represented by a circle instead of a …

As environmental problems are increasingly challenging and sustainable development win
support among the people, the energy-efficient hybrid flow-shop scheduling problem …