Results 81 to 90 of about 16,074,262 (296)

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

Advanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith, Sunny Amatya, Seyed Yousef Soltanian, Jonathan Bush, Wenlong Zhang   +4 more
wiley   +1 more source

Specification(s) of Nested Logit Models [PDF]

The nested logit model has become an important tool for the empirical analysis of discrete outcomes. There is some confusion about its specification of the outcome probabilities. Two major variants show up in the literature.
Florian Heiss
core  

SIMPLE LM TESTS FOR THE UNBALANCED NESTED ERROR COMPONENT REGRESSION MODEL

This paper derives several Lagrange Multiplier tests for the unbalanced nested error component model. Economic data with a natural nested grouping include firms grouped by industry; or students grouped by schools.
Badi Baltagi, Seuck Heun Song, Byoung Cheol Jung   +2 more
core   +1 more source

A Generalized Neural Logit Model for Airport and Access Mode Choice in Germany [PDF]

, 2007
The purpose of this paper is to present a new kind of discrete choice model called "Generalized Neural Logit Model" applied exemplarily to the case of airport and access mode choice.
Gelhausen, Marc, Gelhausen, Marc Christopher   +1 more
core  

Predicting soil δ13C patterns in Brazil using nested datasets, feature selection, and machine learning

Ecological Informatics
Soil δ13C is an integrative indicator of carbon cycling, vegetation composition, and land use dynamics. Despite increasing availability of high-resolution environmental datasets, predicting soil δ13C remains challenging due to collinear and scale ...
Osmar Luiz Ferreira de Carvalho, Glauber das Neves, João Paulo Sena-Souza, Alexandre Tadeu Brunello, Vinicius Vasconcelos, Daniel Guerreiro e Silva, Maria Gabriella da Silva Araújo, Deoclecio Jardim Amorim, Luiz Antonio Martinelli, Gabriela Bielefeld Nardoto, Osmar Abílio de Carvalho, Júnior   +10 more
doaj   +1 more source

Advanced Flexible Robotic Systems for the Early Diagnosis and Treatment of Cancer and Cardiovascular Diseases

Advanced Robotics Research, EarlyView.
Flexible surgical robots are advancing minimally invasive interventions for cardiovascular diseases and cancer by enabling precise navigation through complex, submillimeter anatomical pathways. This review highlights recent innovations in actuation, bio‐integrated sensing, AI‐assisted control, and friction‐reduction technologies, discusses current ...
Hermione Truong, Chi Cong Nguyen, Hannah Thuy Truong, Kefan Zhu, Adrienne Ji, James Davies, Emanuele Nicotra, Bibhu Sharma, Jingjing Wan, Patrick Pruscino, Shing Wai Wong, Hoang‐Phuong Phan, Phuoc Thien Phan, Nigel H. Lovell, Thanh Nho Do   +14 more
wiley   +1 more source

Predictive error estimates over progressive optimisations for each model type using the resultant LB sensor for the CMJ_NA, based on nested cross validation and the independent holdout test.

, 2022
Predictive error estimates over progressive optimisations for each model type using the resultant LB sensor for the CMJNA, based on nested cross validation and the independent holdout test.
Neil E. Bezodis (12072512), Jonathon Neville (12072515), Paul Rees (150447), Huw Summers (787930), Mark G. E. White (12072509)   +4 more
core   +1 more source

Enhancing Amphibious Flipper‐Based Locomotion Through Terrain‐Dependent Bayesian Optimization of Central Pattern Generator Control

Advanced Robotics Research, EarlyView.
A sea turtle‐inspired amphibious robot uses simulation‐guided optimization to adapt its flipper coordination to different environments. Sensitivity analysis and multiobjective Bayesian optimization identify terrain‐dependent controllers that are validated on hardware.
Nnamdi C. Chikere, Yasemin Ozkan‐Aydin
wiley   +1 more source

Prediction of body fat percentage using a new hybrid intelligent feature selection: ANN-KGA & ANN-IKGA [PDF]

PeerJ Computer Science
Before initiating obesity treatment, it is essential to determine body fat percentage (BFP), a measure that cannot be assessed through conventional weighing alone.
Tohid Yousefi, Özlem Varlıklar
doaj   +2 more sources

Consensus Formation and Change are Enhanced by Neutrality

Advanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag, Janina A. Hoffmann, Tim Rogers, Christian A. Yates   +3 more
wiley   +1 more source