Results 101 to 110 of about 12,314 (276)

Tweetement: Pseudo-relevance Feedback for Twitter Search

, 2015
Microblogging platforms such as Twitter let users communicate with short messages. Due to the messages’ short content and the users’ tendency to type short queries while searching, it is particularly challenging to locate useful tweets that match user ...
Bektemirov, Kanatbay
core  

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

A Graph-based approach for text query expansion using pseudo relevance feedback and association rules mining

, 2019
Pseudo-relevance feedback is a query expansion approach whose terms are selected from a set of top ranked retrieved documents in response to the original query.
Gadi, Taoufiq, Siham Jabri, Dahbi, Azzeddine, Azzeddine Dahbi, Jabri, Siham, Taoufiq Gadi   +5 more
core   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Pseudo-Relevance Feedback on Retrieval Using Document Segmentation.

, 2009
Web is the largest information source in the world, but the storage and effective information retrieval on the web is still a problem in this day. Pseudo-relevance feedback is automatically local analysis technique (relevance feedback technique without ...
Anbiana, Elenur Dwi
core  

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source

Structural annotation of search queries using pseudo-relevance feedback

, 2010
Marking up queries with annotations such as part-of-speech tags, capitalization, and segmentation, is an important part of many approaches to query processing and understand-ing.
Michael Bendersky, W. Bruce Croft, David A. Smith   +2 more
core   +2 more sources

Self‐Activating Electrocatalysts for Water Splitting: Advancing Structure–Performance Understanding and Beyond

Advanced Energy Materials, EarlyView.
Self‐activating electrocatalysts offer strong potential for advanced water splitting, enabled by their dynamic compositional and structural evolution during operation. This review highlights recent advances in self‐activating OER and HER catalysts, emphasizing the driving forces and mechanisms underlying their adaptive behavior. A conceptual network of
Christean Nickel, Bahareh Feizi Mohazzab, Kiarash Torabi, David Leander Troglauer, Guillermo Corea, Shikang Han, Dandan Gao   +6 more
wiley   +1 more source

Analisis dan Implementasi Pseudo-Relevance Feedback dengan Kueri Expansion menggunakan Term Selection Value [PDF]

, 2013
ABSTRAKSI: Pseudo Relevance Feedback merupakan salah satu teknik dalam information retrieval untuk meningkatkan performansi ketepatan hasil pencarian. Apabila pada Relevance Feedback konvensional user akan memilih dokumen yang relevan dengan kueri, namun
Muhamad Fachruddin
core  

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source