A global leader in agricultural genetics sought durable, economical UV microscope objectives. Issues in meeting these objectives included optical design complexity, wavefront control, and fabrication ...
Long-Term Survivorship After Chimeric Antigen Receptor T-Cell Therapy for Hematologic Malignancies Using the Enhancing Quality and Transparency of Health Research (EQUATOR) Network's methodological ...
Multi-Objective Reinforcement Learning (MORL) is an emerging field that extends the conventional reinforcement learning paradigm by enabling agents to optimise multiple conflicting objectives ...
Dynamic multi-objective optimisation techniques address problems in which several conflicting objectives evolve over time. These methods are critical for applications ranging from smart systems and ...
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