Results 131 to 140 of about 1,795,506 (333)

Siamese change detection based on information interaction and fusion network

Scientific Reports
Change detection is widely utilized across various domains, such as disaster monitoring, where it aids in identifying differences between images captured at different time intervals.
Yanni Zhang, Lei Yang, Caigen Zhou, Jiachen Wen, Licai Zhu   +4 more
doaj   +1 more source

Reconfigurable Nucleic Acid Nanoparticles with Therapeutic RNAi Responses to Intracellular Disease Markers

Advanced Functional Materials, EarlyView.
Many known diseases arise from dysregulated gene expression, and differentially expressed genes can serve as biomarkers to distinguish diseased cells from healthy tissues. In this study, reconfigurable nucleic acid nanoparticles (recNANPs) are introduced that can detect overexpressed cancer biomarkers and subsequently release RNAi inducers to silence ...
Yelixza I. Avila, Anh Ha, Morgan R. Chandler, Nathalia Leal Santos, Taejin Kim, Hannah S. Newton, Marina A. Dobrovolskaia, Kirill A. Afonin   +7 more
wiley   +1 more source

Explainable self-supervised learning for medical image diagnosis based on DINO V2 model and semantic search

Scientific Reports
Medical images have become indispensable for decision-making and significantly affect treatment planning. However, increasing medical imaging has widened the gap between medical images and available radiologists, leading to delays and diagnosis errors ...
Alaa Hussien, Abdelkareem Elkhateb, Mai Saeed, Nourhan M. Elsabawy, Alaa Ebraheem Elnakeeb, Nora Elrashidy   +5 more
doaj   +1 more source

Intelligence in Artificial Intelligence

, 2016
The elusive quest for intelligence in artificial intelligence prompts us to consider that instituting human-level intelligence in systems may be (still) in the realm of utopia. In about a quarter century, we have witnessed the winter of AI (1990) being transformed and transported to the zenith of tabloid fodder about AI (2015).
openaire   +2 more sources

Printing Nacre‐Mimetic MXene‐Based E‐Textile Devices for Sensing and Breathing‐Pattern Recognition Using Machine Learning

Advanced Functional Materials, EarlyView.
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu, Wenqing Chen, Qian Li, Rohit Gupta, Biswajoy Bagchi, Laurence B. Lovat, Manish K. Tiwari   +6 more
wiley   +1 more source

A novel imputation approach for power load time series data based on tsDatawig

Scientific Reports
Accurate power load forecasting possesses important decision-making value for optimizing unit scheduling and grid operation, in which real-time load monitoring data collected by sensor networks is the core foundation for constructing forecasting models ...
Hui Wang, Fafa Zhang, Yujing Cai, Yuan Chen   +3 more
doaj   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Machine-Reading Comprehension for Bridge Inspection Domain by Fusing Graph Embedding

Complexity
Bridge inspection text records are very significant for the maintenance and upkeep of bridges, which can help engineers and maintenance personnel to understand the actual condition of bridges, detect and repair problems in time, and ensure the safe ...
Fangyue Xiang, Hongjin Zhu, YuFang Sun, Maobo Zheng, Wenyong Yan   +4 more
doaj   +1 more source

Artificial intelligence dialects of the Bayesian belief revision language [PDF]

, 1989
Shimon Schocken, Paul R. Kleindorfer
openalex   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source