Results 41 to 50 of about 13,951,433 (265)

A Comparison of Alternative Ordered Response Models for Analysing User Satisfaction with Transport Services in Turkey

open access: yesTransport and Telecommunication, 2016
The main objective of this paper is to analyse user satisfaction with road, maritime, air, and rail transport services in Turkey using four distinctive ordered response models.
Çelik Ali Kemal, Senger Ötüken
doaj   +1 more source

Using marginal standardisation to estimate relative risk without dichotomising continuous outcomes

open access: yesBMC Medical Research Methodology, 2019
Background Although criticisms regarding the dichotomisation of continuous variables are well known, applying logit model to dichotomised outcomes is the convention because the odds ratios are easily obtained and they approximate the relative risks (RRs)
Ying Chen   +8 more
doaj   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

open access: yesAdvanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Romanian farmers’ market. A multinomial logit model approach [PDF]

open access: yesZbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2007
This paper analyzes the nature of the farmers’ market in Romania and its position regarding the main rivals: the specialized stores and the supermarkets.
Vincenţiu Vereş, Cristian Dragoş
doaj  

The crowding-out effect of sugar-sweetened beverages (SSBs) on household expenditure patterns in Bangladesh

open access: yesBMC Public Health, 2023
Background Consumption of sugar-sweetened beverages (SSBs) or sugary drinks may reduce or even eliminate the household income allocation for other essential commodities.
Abul Kalam Azad, Rumana Huque
doaj   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

Modification of the traffic-mode split model under real-time informatization

open access: yesJournal of Engineering and Applied Science
The rapid advancement of intelligent transportation and real-time informatization enables travelers to choose the optimal traffic mode by considering dynamic traffic and path navigation information.
Jinwei Zhang, Jianping Gao
doaj   +1 more source

Learning Moisture‐Induced Damage From Vision: Diffusion Models for Real‐Time Monitoring of Additive Manufacturing Processes

open access: yesAdvanced Science, EarlyView.
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung   +4 more
wiley   +1 more source

Estimating the Potential Modal Split of Any Future Mode Using Revealed Preference Data

open access: yesJournal of Advanced Transportation, 2022
Mode choice behaviour is often modelled by discrete choice models, in which the utility of each mode is characterized by mode-specific parameters reflecting how strongly the utility of that mode depends on attributes such as travel speed and cost, and a ...
Gijsbert Koen de Clercq   +3 more
doaj   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

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