Multiobjective Dynamic Flexible Job Shop Scheduling with Biased Objectives via Multitask Genetic Programming

Engineering, Mechanical Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
dynamic scheduling   flexible job shop   genetic programming   multitask learning   multiobjective optimization   scheduling heuristics   algorithm efficiency  

Breakthrough Research in Multiobjective Dynamic Flexible Job Shop Scheduling: An Innovative Approach to Optimize Biased Objectives via Multitask Learning in Genetic Programming Background Introduction Dynamic Flexible Job Shop Scheduling (DFJSS) is an essential combinatorial optimization problem with extensive real-world applications in areas such ...

Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning

Information Science, Artificial Intelligence, Medicine, Pediatrics, Medical Imaging, Oncology,
multitask learning   pediatric low-grade gliomas   MRI   tumor segmentation   deep learning  

Improved Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning Background Introduction The segmentation of pediatric brain tumors is a critical task in tumor volume analysis and artificial intelligence algorithms. However, this process is time-consuming and requires the expertise of neuroradiologists. Although significant research ...