Job Shop Scheduling is currently one of the most addressed planning and scheduling
optimization problems in the field. Due to its complexity, as it belongs to the NP-Hard class of …

Colorization for medical images helps make medical visualizations more engaging, provides
better visualization in 3D reconstruction, acts as an image enhancement technique for tasks …

The colorization of grayscale images is a challenging task in image processing. Recently,
deep learning has shown remarkable performance in image colorization. However, the …

Artificial colorization (pseudo-colorization) is a commonly used method to improve the
readability of images obtained from sources (sensors) that do not reflect the original color of …

Since financial assets on stock exchanges were created, investors have sought to predict
their future values. Currently, cryptocurrencies are also seen as assets. Machine learning is …

The problem of voice spoofing detection is critical for identity authentication within biometric
systems. Among the existing countermeasures, those based on soft computing have …

The pseudo-coloring problem (PsCP) is a combinatorial optimization challenge that involves
assigning colors to elements in a way that meets specific criteria, often related to minimizing …

Many researchers today are using meta-heuristics to treat the class of problems known in
the literature as Job Shop Scheduling Problem (JSSP) due to its complexity since it consists …

Introduction: Breast cancer is one of the most common diseases among women in all over
the world. One of the effective ways to prevent the risk of death from breast cancer is early …

MM and SP a computational feature in which a computer can simulate the state of a system
at high speed and accurately while eliminating machine faults. Over the years, computer MM …