Results 171 to 180 of about 614,999 (294)

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

open access: yesAdvanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen   +4 more
wiley   +1 more source

Real‐Time Motion Generation for Robot Manipulators in Complex Dynamic Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
A motion generation method for robot manipulators in complex dynamic environments is presented. The method integrates global motion planning with local obstacle avoidance, ensuring continuous movement toward dynamically measured target poses. An online distance calculation algorithm is developed, and a collision‐free motion generator is proposed that ...
Tianyu Zhang   +6 more
wiley   +1 more source

Cooperative Merging in Mixed Traffic Based on Strategic Influence of Connected Automated Vehicles on Human‐Driven Vehicle Behavior

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes an optimization‐based cooperative merging strategy for connected and automated vehicles (CAVs) in mixed traffic. By leveraging the strategic influence of CAVs on human‐driven vehicles (HDVs), the method reduces uncertainties in HDV behavior and improves traffic flow, achieving up to 31% reduction in average travel time delay ...
Kyunghwan Choi   +2 more
wiley   +1 more source

UP3: Unsupervised Predictive Path Planner for Mobile Robots in Unknown Environment

open access: yesAdvanced Intelligent Systems, EarlyView.
In this article, an unsupervised learning‐based predictive path planning framework UP3 for mobile robots is introduced. The framework employs attention‐based path optimization, control barrier functions, and a deep constraint correction module. UP3 allows the robot to use local observation to generate smooth, safe, and collision‐free path points toward
Jianing Luo   +4 more
wiley   +1 more source

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