Results 181 to 190 of about 7,891,612 (362)
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Developing predictive models for COVID-19 positive tests based on the XGBoost and random forest algorithms with internet search data. [PDF]
Chang Y +12 more
europepmc +1 more source
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
Research Trends and Core Themes in Operating Room Patient Safety: A Scope-Based Keyword Network Analysis (2020-2024). [PDF]
Woo R, Shin J, Kim NY.
europepmc +1 more source
Using a Head-Mounted Video Camera to Understand Social Worlds and Experiences [PDF]
[No abstract][No keywords]
Katrina Myrvang Brown +2 more
core
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
Knowledge mapping of osteoporotic fractures: a bibliometric analysis from 2014 to 2024. [PDF]
Cao R +7 more
europepmc +1 more source
New Keywords: Migration and Borders
Maribel Casas-Cortés +16 more
semanticscholar +1 more source
A Literature Survey on Potential Private User Information Leakage in Metaverse Applications
This survey explores potential privacy risks in the Metaverse, focusing on personal data inferred from virtual reality headsets embedded with passive brain‐computer interfaces (BCI). It reviews how age, gender, and ethnicity can be predicted using neurophysiological signals, (e.g., electroencephalogram). The survey also explores future threats from non‐
Mina Jaberi, Tiago H. Falk
wiley +1 more source

