Results 61 to 70 of about 78,709 (143)

Optimizing hip exoskeleton assistance pattern based on machine learning and simulation algorithms: a personalized approach to metabolic cost reduction

Frontiers in Robotics and AI
IntroductionHip exoskeletons can lower the metabolic cost of walking in many tasks and populations, but their assistance patterns must be tailored to each user.
Arash Mohammadzadeh Gonabadi, Arash Mohammadzadeh Gonabadi, Iraklis I. Pipinos, Iraklis I. Pipinos, Sara A. Myers, Sara A. Myers, Farahnaz Fallahtafti   +6 more
doaj   +1 more source

Structural properties of optimal fidelity selection policies for human-in-the-loop queues

Automatica
We study optimal fidelity selection for a human operator servicing a queue of homogeneous tasks. The agent can service a task with a normal or high fidelity level, where fidelity refers to the degree of exactness and precision while servicing the task.
Piyush Gupta, Vaibhav Srivastava
openaire   +2 more sources

Maximizing the spread of information through content optimization

Intelligent Systems with Applications
As data-driven prediction models advance, an increasing number of people are enjoying news personalized to their interests. The primary problem such recommendation models solve is to precisely match information with users and, in so doing, ensure that ...
Lei Lin, Yihua Du, Shibo Zhao, Wenkang Jiang, Qirui Tang, Li Xu   +5 more
doaj   +1 more source

MoDiPO: text-to-motion alignment via AI-feedback-driven direct preference optimization

Frontiers in Computer Science
Diffusion Models have revolutionized the field of human motion generation by offering exceptional generation quality and fine-grained controllability through natural language conditioning.
Massimiliano Pappa, Luca Collorone, Giovanni Ficarra, Indro Spinelli, Fabio Galasso   +4 more
doaj   +1 more source

Evaluating Visualization Techniques for Binary Populations in High-Dimensional Evolutionary Search

IEEE Access
The effectiveness of Interactive Evolutionary Computation (IEC) relies fundamentally on the synergy between algorithmic power and human intuition. However, for hard combinatorial problems encoded as high-dimensional binary vectors, such as the Maximum ...
Thiago Sylas Antunes Da Costa, Nata Ferreira Lobato, Bianchi Serique Meiguins, Carlos Gustavo Resque Dos Santos   +3 more
doaj   +1 more source

An Evolutionary Learning Whale Optimization Algorithm for Disassembly and Assembly Hybrid Line Balancing Problems

Mathematics
In order to protect the environment, an increasing number of people are paying attention to the recycling and remanufacturing of EOL (End-of-Life) products. Furthermore, many companies aim to establish their own closed-loop supply chains, encouraging the
Xinshuo Cui, Qingbo Meng, Jiacun Wang, Xiwang Guo, Peisheng Liu, Liang Qi, Shujin Qin, Yingjun Ji, Bin Hu   +8 more
doaj   +1 more source

Design optimization platform for assistive wearable devices applied to a knee damper exoskeleton

Wearable Technologies
Designing optimal assistive wearable devices is a complex task, often addressed using human-in-the-loop optimization and biomechanical modeling approaches.
Asghar Mahmoudi, Stephan Rinderknecht, Andre Seyfarth, Maziar A. Sharbafi   +3 more
doaj   +1 more source

Practical approaches to group-level multi-objective Bayesian optimization in interaction technique design

Collective Intelligence
Designing interaction techniques for end-users often involves exploring vast design spaces while balancing many objectives. Bayesian optimization offers a principled human-in-the-loop method for selecting designs for evaluation to efficiently explore ...
Yi-Chi Liao, George B Mo, John J Dudley, Chun-Lien Cheng, Liwei Chan, Per Ola Kristensson, Antti Oulasvirta   +6 more
doaj   +1 more source

Random rotational embedding Bayesian optimization for human-in-the-loop personalized music generation.

PLoS ONE
Generative deep learning models, such as those used for music generation, can produce a wide variety of results based on perturbations of random points in their latent space.
Miguel Marcos, Lorenzo Mur-Labadia, Ruben Martinez-Cantin   +2 more
doaj   +1 more source

Connotation and application paradigm of intelligent mining data intelligence enabling technology

Gong-kuang zidonghua
Data and intelligence are the core engines driving the precision, efficiency, and safety of sustainable intelligent mining development. A system for intelligent mining data intelligence enabling technology based on the "data-algorithm-equipment-ecology ...
FU Xiang, WANG Kai, WANG Ranfeng
doaj   +1 more source