Results 41 to 50 of about 154,864 (247)

A Guidance Based Approach for Enhancing the e-Government Interoperability

Journal of Information and Organizational Sciences, 2017
Developing e-Government interoperability in the government context is a complex task. As interoperability in government context is associated and hindered by many challenges and barriers connected to government nature of complexity.
Yassine Jamoussi, Zuhoor Al-Khanjari, Naoufel Kraiem   +2 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced 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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Interoperability standards for cloud architecture [PDF]

, 2013
Enabling cloud infrastructures to evolve into a transparent platform raises interoperability issues. Interoperability requires standard data models and communication technologies compatible with the existing Internet infrastructure.
Zhang, Li, Pahl, Claus, Fowley, Frank
core   +2 more sources

Electronic health record interoperability using FHIR and blockchain: A bibliometric analysis and future perspective

Perspectives in Clinical Research, 2023
Electronic health records (EHRs) constitute vital statistics, current health condition, ongoing therapies, and patient data; hence, their interoperability could be useful for epidemiologic and clinical research. Fast Healthcare Interoperability Resources
Gaurav Anand, Divya Sadhna
doaj   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Pragmatic Approaches to Interoperability – Surmounting Barriers to Healthcare Data and Information Across Organizations and Political Boundaries

Telehealth and Medicine Today, 2023
Objective This paper provides a review of the landscape of interoperability efforts in healthcare from 2010 to 2023, in the US and abroad. Interoperability, in the context of this paper, is “the ability to share information across time and space from ...
Bharath Perugu, MBA, Varun Wadhwa, BS, Jin Kim, ME, Jenny Cai, BS (Candidate), Audrey Shin, BS (Candidate), Amar Gupta, MBA, PhD   +5 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Technical framework of joint operation scheme interoperability [PDF]

Zhihui kongzhi yu fangzhen
The key points and difficulties in the consistency work of joint operation scheme interoperability are analyzed. According to the characteristics of joint operation scheme and the requirement of the joint operation scheme interoperability, a technical ...
TIAN Hua, ZHANG Rong, JIAO Yukun, LI Bo
doaj   +1 more source

Adoption of enterprise architecture for healthcare in AeHIN member countries

BMJ Health & Care Informatics, 2020
Background Healthcare organisations are undergoing a major transformational shift in the use of information and digital health technologies. Enterprise architecture (EA) has been incrementally adopted in many healthcare organisations globally to ...
Siaw-Teng Liaw, Jitendra Jonnagaddala, Guan N Guo, Sean Batongbacal, Alvin Marcelo   +4 more
doaj   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source