Moth flame optimization: theory, modifications, hybridizations, and applications
The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is
applied to solve complex real-world optimization problems in numerous domains. MFO and …
applied to solve complex real-world optimization problems in numerous domains. MFO and …
Migration-based moth-flame optimization algorithm
Moth–flame optimization (MFO) is a prominent swarm intelligence algorithm that
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …
An efficient multilevel color image thresholding based on modified whale optimization algorithm
Color image segmentation is a vital preprocessing stage in various image processing
applications. In threshold-based segmentation, the success of the image segmentation …
applications. In threshold-based segmentation, the success of the image segmentation …
Enhanced multi-layer perceptron for CO2 emission prediction with worst moth disrupted moth fly optimization (WMFO)
This study introduces the Worst Moth Disruption Strategy (WMFO) to enhance the Moth Fly
Optimization (MFO) algorithm, specifically addressing challenges related to population …
Optimization (MFO) algorithm, specifically addressing challenges related to population …
[PDF][PDF] Comparison of meta-heuristic algorithms for fuzzy modelling of COVID-19 illness' severity classification
The world health organization (WHO) proclaimed the COVID-19, commonly known as the
coronavirus disease 2019, was a pandemic in March 2020. When people are in close …
coronavirus disease 2019, was a pandemic in March 2020. When people are in close …
Biomedical image segmentation using fuzzy multilevel soft thresholding system coupled modified cuckoo search
The automated computer-aided biomedical image analysis tools help in achieving precise
and accurate analysis of disease with less manual intervention and facilitate quick and …
and accurate analysis of disease with less manual intervention and facilitate quick and …
[PDF][PDF] Image multi-level-thresholding with Mayfly optimization.
Image thresholding is a well approved pre-processing methodology and enhancing the
image information based on a chosen threshold is always preferred. This research …
image information based on a chosen threshold is always preferred. This research …
[PDF][PDF] The application of UAV images in flood detection using image segmentation techniques
The application of unmanned aerial vehicle (UAV) used to capture the images of the flood
areas are becoming interest of most researchers recently. This is due to its versatilities of …
areas are becoming interest of most researchers recently. This is due to its versatilities of …
Polyp image segmentation based on improved planet optimization algorithm using reptile search algorithm
To recognize the potential for colon polyps to develop into cancer over time, early diagnosis
is crucial for preventative healthcare. Timely identification significantly improves the …
is crucial for preventative healthcare. Timely identification significantly improves the …
[PDF][PDF] Classification of six banana ripeness levels based on statistical features on machine learning approach
Banana plants are often cultivated because they have many benefits. In producing, we need
to maintain the quality of bananas by looking at banana ripeness levels before being …
to maintain the quality of bananas by looking at banana ripeness levels before being …