Results 31 to 40 of about 141,588 (171)

From Swarm to Individual: Emergent Individuality in Light‐Mediated Robot Collectives

open access: yesAdvanced Intelligent Systems, EarlyView.
Can individuality emerge from a swarm? Using nominally homogeneous phototactic robots, we show that collective light conditions reorganize robot‐level behavioral profiles. Global illumination amplifies persistent differences in state occupancy, while robot‐mounted local light cues reduce fixed differentiation and favor transient high‐switching profiles.
John Smith   +4 more
wiley   +1 more source

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

open access: yesAdvanced Intelligent Systems, EarlyView.
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati   +3 more
wiley   +1 more source

LR parsing of CFGs with restrictions [PDF]

open access: yesSoftware: Practice and Experience, 1990
AbstractA method for extending the LR parsing method to enable it to deal with context‐free grammars containing embedded restrictions is presented. Such restrictions are usually dealt with in LR‐based parsers by executing semantic code outside the context of the LR method.
openaire   +2 more sources

The Preprint Evolution: The Rise of Unreviewed Drafts on arXiv and Its Implications for Astronomy

open access: yesAstronomische Nachrichten, EarlyView.
ABSTRACT The arXiv preprint server originally democratized astronomical research by removing the financial barriers of journal subscriptions. However, a system designed for the lower publication volumes of the 1990s has fractured under modern research output. Today, the sheer volume of unreviewed manuscripts—often tagged as “submitted,” “under review,”
Luigi Rolly Bedin
wiley   +1 more source

Deciphering transcriptome complexity via long‐read sequencing

open access: yesiMeta, EarlyView.
Long‐read sequencing is transforming transcriptomics from gene‐level quantification to isoform‐resolved interpretation by directly resolving full‐length transcript structures, transcription in repetitive regions, and linked molecular features. This review provides an end‐to‐end roadmap covering sequencing platforms, library preparation strategies ...
Chuwen Xu   +21 more
wiley   +1 more source

PARCE: Accurate Inference of Crystal Structure Information From Phonon Vibrational Modes

open access: yesMaterials Genome Engineering Advances, EarlyView.
In this work, we introduce a multidescriptor framework and accuracy‐adaptive ensemble network to classify over 30,000 crystals from phonon and Raman data, achieving > 60% accuracy across diverse structures. Our work reduces reliance on ideal XRD data, enabling automated and large‐scale material structure analysis.
Hongyu Chen   +10 more
wiley   +1 more source

Wide-coverage deep statistical parsing using automatic dependency structure annotation [PDF]

open access: yes, 2008
A number of researchers (Lin 1995; Carroll, Briscoe, and Sanfilippo 1998; Carroll et al. 2002; Clark and Hockenmaier 2002; King et al. 2003; Preiss 2003; Kaplan et al. 2004;Miyao and Tsujii 2004) have convincingly argued for the use of dependency (rather
O'Donovan, Ruth   +12 more
core   +2 more sources

YOLO-SegNet: A Method for Individual Street Tree Segmentation Based on the Improved YOLOv8 and the SegFormer Network

open access: yesAgriculture
In urban forest management, individual street tree segmentation is a fundamental method to obtain tree phenotypes, which is especially critical. Most existing tree image segmentation models have been evaluated on smaller datasets and lack experimental ...
Tingting Yang   +4 more
doaj   +1 more source

Baselining Large Language Model Performance in Systems Engineering Using SysEngBench

open access: yesSystems Engineering, EarlyView.
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell   +3 more
wiley   +1 more source

Machine Learning‐Assisted Development in Insulating Materials for High Voltage Applications

open access: yesHigh Voltage, EarlyView.
ABSTRACT The advancement of power systems imposes increasingly stringent performance requirements on insulating materials, making the development of high‐performance insulating materials a critical challenge in the field of electrical engineering. Traditional material development relies heavily on empirical trial‐and‐error approaches, which are time ...
Yichen Ran   +17 more
wiley   +1 more source

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