Results 1 to 10 of about 143 (92)
Mechanism and Convergence Analysis of a Multi-Robot Swarm Approach Based on Natural Selection
The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the Particle Swarm Optimization (PSO) using natural selection, or survival-of-the-fittest, to enhance the ability to escape from local optima. An extension of the DPSO to multi-robot applications has been recently proposed and denoted as Robotic Darwinian PSO ...
Micael S. Couceiro +3 more
openaire +2 more sources
Utilizando multi-AUVs para tarefas de inspeção visual
O presente artigo descreve os primeiros resultados obtidos relacionados ao desenvolvimento de multi-robôs autônomos (Autonomous Undersea Vehicle- AUVs) para inspeção subaquática. O sistema de inspeção proposto é baseado na construção cooperativa de mapas
Silvia Silva da Costa Botelho +3 more
doaj +4 more sources
Emprego de sistemas robóticos na cirurgia cardiovascular Robotic systems in cardiovascular surgery
O desenvolvimento de sistemas robóticos para cirurgia teve início na década de 80, por solicitação do exército norte-americano, que antevia a possibilidade de realizar operações em teatros de guerra, distantes do local onde estava o cirurgião. Entretanto,
Roberto T. Sant'Anna +6 more
doaj +1 more source
Dynamic Spillovers Between FinTech, Blockchain, and Green Finance: A Quantile Connectedness Approach
ABSTRACT This paper explores how financial innovation and environmental sustainability intersect by analyzing spillovers between FinTech, blockchain energy use, and green finance. Using a Quantile Vector Autoregression (QVAR) framework, we examine weekly data from 2018 to 2024 across 11 digital, environmental, and macro‐financial indices.
Mehmet Sahiner, Sisi Sung, James Devlin
wiley +1 more source
Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley +1 more source
ABSTRACT Big data and financial innovations are vital to enhancing the performance of banking institutions. However, limited evidence exists on the effects of big data applications and financial innovation on bank performance. This study addresses this gap by constructing a theoretical framework linking big data applications and financial innovations ...
Mandella Osei‐Assibey Bonsu +1 more
wiley +1 more source
How Is FinTech Shaping Household Portfolio Behaviour?
ABSTRACT This paper examines how FinTech adoption influences household portfolio allocation across major advanced economies. Using a flow‐of‐funds framework and the Almost Ideal Demand System (AIDS), we model household demand for currency, deposits, loans, debt securities, and equity in the United States, United Kingdom, Euro Area, Japan and Australia.
Victor Murinde, Athina Petropoulou
wiley +1 more source
Human in the Loop, or Perceived Oversight? The Psychological Inference That Drives AI Credibility
ABSTRACT Industry practice and AI governance frameworks increasingly treat human oversight of AI systems as a core trust‐building mechanism. Yet the specific psychological inference through which human‐in‐the‐loop (HITL) systems build credibility remains unidentified. We address this gap across two experiments in AI‐generated investment research.
Guneet Kaur Nagpal, June Cotte
wiley +1 more source
Slit2/Robo Signaling Restores Diabetic Erectile Function via Neurovascular Remodeling
ABSTRACT Background Diabetes mellitus‐induced erectile dysfunction (DMED) is a common and debilitating vascular‐neurogenic complication of diabetes. The poor responsiveness of DMED patients to phosphodiesterase type‐5 inhibitors underscores the need for therapies capable of restoring both endothelial integrity and cavernous nerve function.
Sen Fu +7 more
wiley +1 more source
Robo‐Saber: Generating and Simulating Virtual Reality Players
Abstract We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in‐game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR‐23 dataset and apply our framework on the popular VR game Beat Saber.
N. H. Kim +5 more
wiley +1 more source

