Results 61 to 70 of about 402 (231)

Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

A characterization of Smyth complete quasi-metric spaces via Caristi’s fixed point theorem [PDF]

open access: yes, 2015
We obtain a quasi-metric generalization of Caristi's fixed point theorem for a kind of complete quasi-metric spaces. With the help of a suitable modification of its proof, we deduce a characterization of Smyth complete quasi-metric spaces which provides ...
Romaguera Bonilla, Salvador   +3 more
core   +1 more source

Dimensions of the AI Divide: Digital Inequality and Psychological Consequences

open access: yesAI &Innovation, EarlyView.
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley   +1 more source

Ekeland Variational Principle in asymmetric locally convex spaces

open access: yes, 2012
In this paper we prove two versions of Ekeland Variational Principle in asymmetric locally convex spaces. The first one is based on a version of Ekeland Variational Principle in asymmetric normed spaces proved in S. Cobzaş, Topology Appl.
Cobzaş, S.
core   +1 more source

fixed point [PDF]

open access: yes, 2011
The study of the dual complexity space, introduced by S. Romaguera and M. P. Schellekens [Quasi-metric properties of complexity spaces, Topol. Appl. 98 (1999), pp.
Romaguera Bonilla, Salvador   +2 more
core   +1 more source

PPO‐Based Reinforcement Learning for the Semi‐Active Vibration Control of MDOF Platform

open access: yesAI &Innovation, EarlyView.
ABSTRACT Aiming at the coupled vibration problem of a multi‐degree‐of‐freedom (MDOF) vibration isolation platform under eccentric excitation, this paper proposes a semi‐active vibration control strategy based on Proximal Policy Optimization (PPO) ‐based reinforcement learning (PPO RL).
Wei Huang, Jian Xu
wiley   +1 more source

Redistributive land reforms, agricultural productivity, and structural change: New cross‐national evidence

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra   +3 more
wiley   +1 more source

The supremum asymmetric norm on sequence algebras A general framework to measure complexity distances

open access: yes, 2003
Recently, E.A. Emerson and C.S. Jutla (SIAM J. Comput., 1999), have successfully applied complexity of tree automata to obtain optimal deterministic exponential time algorithms for some important modal logics of programs.
Romaguera, S.   +2 more
core   +1 more source

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