Results 241 to 250 of about 619,204 (327)
Quasi M-convex and L-convex functions—quasiconvexity in discrete optimization
, 2003 Kazuo Murota, Akiyoshi Shioura
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Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning
Advanced Intelligent Discovery, EarlyView.End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
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A Convex Optimization Algorithm for Compressed Sensing in a Complex Domain: The Complex-Valued Split Bregman Method. [PDF]
Sensors (Basel), 2019 Xiong K, Zhao G, Shi G, Wang Y.
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
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Stable Convergence Behavior Under Summable Perturbations of a Class of Projection Methods for Convex Feasibility and Optimization Problems [PDF]
, 2007 Dan Butnariu +3 more
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
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Adaptive Restart of the Optimized Gradient Method for Convex Optimization. [PDF]
J Optim Theory Appl, 2018 Kim D, Fessler JA.
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Normalized Entropy Vectors, Network Information Theory and Convex Optimization [PDF]
, 2007 Babak Hassibi, Sormeh Shadbakht
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Tiling Robotics: A New Paradigm of Shape‐Morphing Reconfigurable Robots
Advanced Intelligent Systems, EarlyView.Tiling robotics is a novel paradigm of shape‐morphing reconfigurable robots, defining them as polyform‐inspired machines capable of transforming between at least two polymorphic shapes. Various reconfiguration‐enabling and locomotion mechanisms of tiling robots are comparatively analyzed, with the electromechanical developments, along with a proposed ...
S. M. Bhagya P. Samarakoon +2 more
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