Results 121 to 130 of about 12,314 (276)
Experiment on pseudo relevance feedback method using Taylor formula at NTCIR-3 patent retrieval task
Pseudo relevance feedback is empirically known as a useful method for enhancing retrieval performance. For example, we can apply the Rocchio method, which is well-known relevance feedback method, to the results of an initial search by assuming that the ...
Kazuaki Kishida
core
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
TREC 2009: 18th Text REtrieval Conference
User relevance feedback is usually utilized by Web systems to interpret user information needs and retrieval effective results for users. However, how to discover useful knowledge in user relevance feedback and how to wisely use the discovery knowledge ...
Algarni, Abdulmohsen +3 more
core
A Steerable and Expandable Magnetic Aspiration Catheter for Enhanced Aspiration Thrombectomy
This article presents a novel magnetic aspiration catheter (MAC) that can be both actively steered and undergo distal‐end expansion via externally applied magnetic fields. The MAC facilitates precise branch selection and enhances clot engagement by improving endovascular navigation and aspiration efficiency. Phantom experiments validate its feasibility
Hakjoon Lee +7 more
wiley +1 more source
Extending relevance model for relevance feedback
Relevance feedback is the retrieval task where the system is given not only an information need, but also some relevance judgement information, usually from users ’ feedback for an initial result list by the system.
Le Zhao, Chenmin Liang, Jamie Callan
core
A piezoelectric meta‐transducer generates an ultrasonic rainbow, steering guided elastic waves to different angles according to frequency. A dithering‐based binary electrode design enables a closer realization of the target wavenumber filter, improving directional purity and suppressing unwanted lobes. Numerical and experimental validation demonstrates
Masoud Mohammadgholiha +5 more
wiley +1 more source
Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee +3 more
wiley +1 more source
ABSTRACT This paper applies Critical Race Theory (CRT) to explore how whiteness operates within Australia's anti‐racism movement as a structuring force that shapes discourse, practice and policy. Despite the anti‐racism movement offering crucial spaces for resistance and reform, it remains entangled in Australia's settler‐colonial present and systemic ...
Franka Vaughan, Aish Ravi
wiley +1 more source
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings +2 more
wiley +1 more source

