Results 1 to 10 of about 22,029,176 (147)
A CECT-Based 2PI System as a Novel Noninvasive Prognostic Tool for Hepatocellular Carcinoma: A Dual-Validation Study. [PDF]
Using differential weighting, we developed a 2PI‐based risk stratification system for HCC recurrence. A comprehensive prognostic model incorporating clinical variables and the 2PI score further enhanced postoperative prediction in solitary HCC and showed initial generalizability across SR and RFA cohorts.
Cui Y +10 more
europepmc +2 more sources
Analysis and Control of Nonsmooth Dynamical Systems [PDF]
no ...
Çamlıbel, Mehmet Kanat +1 more
openaire +7 more sources
Weak Subdifferential in Nonsmooth Analysis and Optimization [PDF]
Some properties of the weak subdifferential are considered in this paper. By using the definition and properties of the weak subdifferential which are described in the papers (Azimov and Gasimov, 1999; Kasimbeyli and Mammadov, 2009; Kasimbeyli and Inceoglu, 2010), the author proves some theorems connecting weak subdifferential in nonsmooth and ...
Sahlar F. Meherrem, Refet Polat
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Nonstandard tools of nonsmooth analysis [PDF]
This is an overview of the basic tools of nonsmooth analysis which are grounded on nonstandard models of set theory. By way of illustration we give a criterion for an infinitesimally optimal path of a general discrete dynamic system.
openaire +3 more sources
Sensor based planning and nonsmooth analysis [PDF]
This paper describes some initial steps towards sensor based path planning in an unknown static environment. The method is a based on a sensor-based incremental construction of a one-dimensional retract of the free space. In this paper we introduce a retract termed the generalized Voronoi graph, and also analyze the roadmap of Canny and Lin's ...
Choset, Howie, Burdick, Joel
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This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
Nonsmooth analysis and approximation
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kandilakis, Dimitrios +1 more
openaire +2 more sources
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
The behaviors of semiflexible polymers such as DNA and protein are often reshaped by coupled interactions. Monte Carlo simulations assist in studying these systems. This work recasts the traditional chain‐growth strategy into a new framework: a fixed number of chains grow synchronously, while less relevant chains to the target system are removed and ...
Yihan Zhao, Jizeng Wang
wiley +1 more source

