Results 171 to 180 of about 91,178 (258)

Sampling, Mobility, and Anchoring in Small‐Body Sampling Robots: A Comprehensive Review

SmartBot, EarlyView.
Small‐body sampling robots are exploration systems that perform contact, sampling, and stable operations on microgravity bodies such as asteroids and comets. The authors review representative robot architectures and key technologies, focusing on the mechanisms, evolution, and coupling of sampling, mobility, and anchoring.
Yurui Shen, Yixin Zhu, Mingxia Bao, Ting Zhang, Jun Wu, Jingbin Hao, Dezheng Hua, Xinhua Liu   +7 more
wiley   +1 more source

Technical efficiency of teaching hospitals in Iran: the use of Stochastic Frontier Analysis, 1999-2011. [PDF]

Int J Health Policy Manag, 2014
Goudarzi R, Pourreza A, Shokoohi M, Askari R, Mahdavi M, Moghri J.   +5 more
europepmc   +1 more source

Thin‐Wall Single‐Crystal Gold Nanoelectrodes toward Advanced Chemical Probing and Imaging

Small, EarlyView.
We present a template‐assisted, non‐self‐limited polyol‐based growth strategy that realizes single‐crystalline, thin‐walled Au UMEs/NEs, as well as multifunctional probes, with high yield (>80%). The method provides precise control over electrode dimensions, from sub‐100 nm to micron‐scale radii and reliably produces long, continuous single‐crystal ...
Milad Sabzehparvar, Fatemeh Kiani, Germán García Martínez, Omer Can Karaman, Victor Boureau, Lucie Navratilova, Giulia Tagliabue   +6 more
wiley   +1 more source

Organic Transistor‐Based Neuromorphic Electronics and Their Recent Applications

Small Methods, EarlyView.
This review highlights recent progress in organic neuromorphic electronics, showing how organic semiconductors enable synaptic and neuronal functions with low power, mechanical flexibility, and biocompatibility. By bridging materials, devices, and systems, organic platforms are accelerating brain‐inspired computing toward applications in artificial ...
Ziru Wang, Feng Yan
wiley   +1 more source

Quantifying Structural Complexity, Effort, and Performance: An Early Experiment Using Network Design Tasks

Systems Engineering, EarlyView.
ABSTRACT Structural Complexity is perceived as driving cost in system development, yet managing it effectively requires empirical understanding. This study investigates human decision‐making using a toy transportation‐style network design task, focusing on how Structural Complexity, Effort, and Performance interact. Seventy‐four participants (primarily
Alfonso Lanza, Joshua Sutherland, Marc‐Andre Chavy‐Macdonald, Olivier L. de Weck   +3 more
wiley   +1 more source

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu, Shihao Zhao, Yuanjun Guo, Linxin Zhang, Zhile Yang   +4 more
wiley   +1 more source

HPoolGCL: Augmentation‐Free Cross‐Granularity Graph Contrastive Learning With Hierarchical Pooling

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) has emerged as a dominant paradigm for self‐supervised representation learning for attributed graph data. However, existing GCL methods heavily rely on empirical graph data augmentation, which may distort intrinsic graph semantics and produce poor generalisation without carefully chosen or designed augmentation
Fenglin Cen, Shijie Liu, Quan Feng, Tiantian He, Ji Xu   +4 more
wiley   +1 more source

Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley   +1 more source

Transforming the automotive industry: Defining, clustering, and efficiency analysis of the next-generation automotive ecosystem. [PDF]

PLoS One
Shon M, Kim J, Kim H.
europepmc   +1 more source

A Review of Human–AI Synergy in Smart Energy Management Concepts, Functions, Applications, and Future Frontiers

Energy Internet, EarlyView.
ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An, Jing Qiu, Jiafeng Lin, Zhe Yuan, Weiyi Tian, Zongyu Yao   +5 more
wiley   +1 more source