Results 261 to 270 of about 65,423 (308)

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Neural patterns reflect conceptual grasp of novice students following first class learning in physics. [PDF]

NPJ Sci Learn
Cetron JS, Hillis ME, Diamond SG, May VV, Kraemer DJM.   +4 more
europepmc   +1 more source

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

Advanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang, Li Zhang, Nan‐Hai Li, Yan‐Ling Yang, Xiao‐Lei Shi, Zhi‐Gang Chen   +5 more
wiley   +1 more source

Semantic Communication Based on Slot Attention for MIMO Transmission in 6G Smart Factories. [PDF]

Sensors (Basel)
Chen N, Lin G, Jian R, Wang Y, Fu M, Wang J, Sun L, Li W, Urakami T, Okada M, Shen B, Wang Q, Yu C, Chen F, Shangguan X.   +14 more
europepmc   +1 more source

Representations of Nonlocal Syntactic Dependencies Feed Verb Learning in Infancy. [PDF]

Dev Sci
Perkins L, Ying Y, Williams A, Lidz J.
europepmc   +1 more source

Structural Alignment and Linguistic Contrast Help Children Learn a Key Principle of Spatial Construction. [PDF]

Cogn Sci
Zheng YS, Goldwater M, Gentner D.
europepmc   +1 more source

Automated weed segmentation with knowledge based labeling for machine learning applications. [PDF]

Sci Rep
Ha T, Aldridge K, Johnson E, Shirtliffe SJ, Fernando H, Nketia K.   +5 more
europepmc   +1 more source

From cognitive abstraction to adaptive behavior: neural bases of concept learning in autistic adolescents. [PDF]

Mol Autism
Chen Y, Hawkins B, Puckett H, Sharp K, Lopez A, Zeithamova D, Xie H, Verbalis A, VanMeter AS, Gaillard WD, Kenworthy L, Vaidya CJ.   +11 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Learning "verb-object" concepts for semantic image annotation

Proceedings of the 19th ACM international conference on Multimedia, 2011
In real-world image understanding and retrieval applications, there exists a large number of images containing "verb-object" semantic. The most existing image annotation approaches which mainly focus on annotating images with "object" concepts may not well describe the image semantics.
Xinming Zhang, Zheng-Jun Zha, Changsheng Xu   +2 more
openaire   +1 more source

Auto-Generative Learning Objects for Learning Linked Lists Concepts

2020 International Symposium on Electronics and Telecommunications (ISETC), 2020
Generative Learning Objects are reusable educational templates to be filled with learning content. Currently, they are used only in experimental environments and not on a large scale like multiple-choice questions. One reason for this drawback is the complexity of meta-models that teachers should imagine and write.
Felicia-Mirabela Costea, Ciprian-Bogdan Chirila, Vladimir-Ioan Cretu   +2 more
openaire   +1 more source