Results 131 to 140 of about 6,174,615 (236)

Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems

Advanced Intelligent Systems, EarlyView.
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja, Mardavij Roozbehani, Munther A. Dahleh   +2 more
wiley   +1 more source

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

Advanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang, Zhenhua Wu, Yu Liu, Kai Chang, Shaohua Wu   +4 more
wiley   +1 more source

Count highly-cited papers instead of papers with h citations: use normalized citation counts and compare "like with like"! [PDF]

Scientometrics, 2018
Bornmann L, Leydesdorff L.
europepmc   +1 more source

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

Advanced Intelligent Systems, EarlyView.
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley   +1 more source

Four Decades of Scientific Activity in Iran from the Perspective of the Conference Proceedings, Highly Cited and Hot Papers, and Open Access Papers, in the Light of the Law of Economic, Social, and Cultural Development Plan of Iran

Iranian Journal of Information Processing & Management, 2018
This study aims to investigate Iran scientific production pre-revolutionary by 2016 with the emphasis on the conferences proceedings, highly cited and hot papers, and open access papers, in the light of the Law of Economic, Social, and Cultural ...
Mohammad Reza Ghane, Samira Kumarsi
doaj  

Most UK scientists who publish extremely highly-cited papers do not secure funding from major public and charity funders: A descriptive analysis. [PDF]

PLoS One, 2019
Stavropoulou C, Somai M, Ioannidis JPA.
europepmc   +1 more source

An Integrated Fabric‐Pneumatic Soft Sensing System for Multi‐Site Muscle Activity Decoding

Advanced Intelligent Systems, EarlyView.
Fabric‐pneumatic chambers convert muscle deformation into pressure signals without electronics at the body‐contact sensing interface. A unified processing pipeline enables static posture classification, continuous elbow‐angle estimation, forearm gesture recognition, and knee‐movement detection across three anatomical sites.
Qifeng Xun, Jonathan William Ambrose, Quan Xiong, Chen Hua Yeow   +3 more
wiley   +1 more source

Bibliometric Analysis of Highly-Cited Papers of <i>Indian Journal of Orthopaedics</i>. [PDF]

Indian J Orthop
Vaishya R, Gupta BM, Vaish A, Kambhampati SBS, Jain VK, Shekhawat S.   +5 more
europepmc   +1 more source

ViTAMIn‐O: Democratizing Computer Vision‐Based Machine Learning for Stem Cell Research

Advanced Intelligent Systems, EarlyView.
This study introduces a fully open generalist computer vision model for predicting the differentiation outcomes of stem cell‐based model systems, together with its code‐free deployment platform, ColabViTAMIn‐O. It is benchmarked against various architectures, datasets, and training protocols.
Ferhat Hamurcu, Markus Breunig, Arpad Varga, Bianka Bosch, Jessica Lindenmayer, Anjan T. Kanakappady, Kevin Achberger, Natalia Pashkovskaia, Alexander Kleger, Stefan Liebau, Stefanie Klingenstein, Moritz Klingenstein   +11 more
wiley   +1 more source

AI Dependence as a Longitudinal Governance Problem

AI &Innovation, EarlyView.
ABSTRACT Artificial intelligence governance typically focuses on whether people rely on AI appropriately during individual decisions. This Perspective addresses a different question: whether repeated AI use changes the capabilities and alternatives available to users and organisations over time.
Yiran Du
wiley   +1 more source