Results 261 to 270 of about 70,390 (338)

Graph‐Based Representation Approach for Deep Learning of Organic Light‐Emitting Diode Devices

Advanced Intelligent Systems, EarlyView.
In this study, a novel graph‐based representation methodology is proposed to effectively address current challenges in description. An ideal approach to representing the device parameters in the static equilibrium state is suggested. In the trained predictive model, superior accuracy is demonstrated, making it a reliable tool for representing organic ...
Taeyang Lee, Jeongwhan Choi, Inyeob Na, Insun Yoo, Sungil Woo, Kwang Jong Kim, Mikyung Park, Joonghwan Yang, Jeongguk Min, Seokwoo Lee, Noseong Park, Joonyoung Yang   +11 more
wiley   +1 more source

Uncertainty and enterprise export recovery in China: Does the market integration matter? [PDF]

PLoS One
Zhu X, Lv K, Gao J.
europepmc   +1 more source

Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis

Advanced Intelligent Systems, EarlyView.
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley   +1 more source

How regional innovation and entrepreneurship vitality affects residents' leisure consumption potential-utility differences between educational investment and scientific and technological investment. [PDF]

PLoS One
Cai Y, Lin W, Zhong J, Hu Q, You Y.
europepmc   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

A Blockchain-Based Authentication Mechanism for Enhanced Security. [PDF]

Sensors (Basel)
McCabe C, Mohideen AIC, Singh R.
europepmc   +1 more source

Performance enhancement in blockchain based IoT data sharing using lightweight consensus algorithm. [PDF]

Sci Rep
Haque EU, Abbasi W, Almogren A, Choi J, Altameem A, Rehman AU, Hamam H.   +6 more
europepmc   +1 more source

From the Shenzhen Code to the Madrid Code: New rules and recommendations for naming algae, fungi, and plants

American Journal of Botany, EarlyView.
Abstract Premise A universally understood, precise, and stable system of naming organisms is essential for effective scientific communication. The International Code of Nomenclature for algae, fungi, and plants, of which the most recently published edition is the Shenzhen Code of 2018, provides this system for algae, fungi, and plants.
Nicholas J. Turland
wiley   +1 more source

Incremental high average-utility itemset mining: survey and challenges. [PDF]

Sci Rep
Chen J, Yang S, Ding W, Li P, Liu A, Zhang H, Li T.   +6 more
europepmc   +1 more source

Buying inferior to selling: Explore the impact of transaction direction on the effects of related-party transactions. [PDF]

PLoS One
Li S, He J.
europepmc   +1 more source