Results 81 to 90 of about 4,899,173 (236)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Security Analysis of the Extended Access Control Protocol for Machine Readable Travel Documents

open access: yes, 2010
We analyze the Extended Access Control (EAC) protocol for authenticated key agreement, recently proposed by the German Federal Office for Information Security (BSI) for the deployment in machine readable travel documents.
Marc Fischlin   +3 more
core   +1 more source

“Smelltronics”—From Gas to Smell Sensing

open access: yesAdvanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono   +7 more
wiley   +1 more source

MACHINE READABLE LINK EXPERIENCES USING SUPPLEMENTARY OBJECTS [PDF]

open access: yes, 2020
The core novelty presented here is to use deterministic machine readable links to locate additional supplementary machine readable objects. Leverages both deterministic and probabilistic links through a discovery based mechanism.
INC, HP
core   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Solon: A Holistic Approach for Modelling, Managing and Mining Legal Sources

open access: yesAlgorithms, 2018
Recently there has been an exponential growth of the number of publicly available legal resources. Portals allowing users to search legal documents, through keyword queries, are now widespread.
Marios Koniaris   +2 more
doaj   +1 more source

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

open access: yesAdvanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo   +7 more
wiley   +1 more source

Reliable Target Prediction of Bioactive Molecules Based on Chemical Similarity Without Employing Statistical Methods

open access: yesFrontiers in Pharmacology, 2019
The prediction of biological targets of bioactive molecules from machine-readable materials can be routinely performed by computational target prediction tools (CTPTs). However, the prediction of biological targets of bioactive molecules from non-digital
Abed Forouzesh   +3 more
doaj   +1 more source

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini   +7 more
wiley   +1 more source

Building the Penitentiary Document Corpus (PeDoCo) for NLP: Balancing Data Complexity and Uniform Data Structure

open access: yesDigital Humanities in the Nordic and Baltic Countries Publications
This paper describes the process of creating a TEI XML corpus of late medieval Latin documents for NLP tasks from books in PDF format. The documents of the Apostolic Penitentiary (a tribunal of the Catholic Church responsible for granting absolutions ...
Hanna-Mari Kupari   +2 more
doaj   +1 more source

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