Results 61 to 70 of about 20,917 (268)

Answering Spatial Multiple-Set Intersection Queries Using 2-3 Cuckoo Hash-Filters

, 2017
We show how to answer spatial multiple-set intersection queries in O(n(log w)/w + kt) expected time, where n is the total size of the t sets involved in the query, w is the number of bits in a memory word, k is the output size, and c is any fixed ...
Eppstein David, Hagerup Torben, Kopelowitz Tsvi, Yang Xiao   +3 more
core   +1 more source

Does ESG Matter for Unlisted Companies in the Agri‐Food Industry? Evidence From Japan's Unlisted Agri‐Food Companies

Agribusiness, EarlyView.
ABSTRACT While ESG (environmental, social, and governance) is emphasized among listed companies for their stakeholders and ESG disclosures, ESG engagement among unlisted companies has been rarely examined due to data limitations. This is particularly problematic for the agri‐food industry that has significant impacts on the environment and consists ...
Ying Wang, Satoru Shimokawa
wiley   +1 more source

Spatio-Temporal Keyword Query Processing Based on Key-Value Stores

Data Science and Engineering
With the popularity of mobile devices and the development of location technology, there is an increasing amount of text data with spatial and temporal tags generated.
Ruiyuan Li, Xiang He, Yingying Sun, Jun Jiang, You Shang, Guanyao Li, Chao Chen   +6 more
doaj   +1 more source

Semantic Retrieval and Automatic Annotation: Linear Transformations, Correlation and Semantic Spaces

, 2010
This paper proposes a new technique for auto-annotation and semantic retrieval based upon the idea of linearly mapping an image feature space to a keyword space.
Hare, Jonathan, Lewis, Paul
core   +2 more sources

Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification using CTC-based Soft VAD and Global Query Attention

, 2020
Keyword spotting (KWS) and speaker verification (SV) have been studied independently although it is known that acoustic and speaker domains are complementary. In this paper, we propose a multi-task network that performs KWS and SV simultaneously to fully
Goo, Jahyun, Jung, Myunghun, Jung, Youngmoon, Kim, Hoirin   +3 more
core   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Lightweight Spatial Conjunctive Query Answering Using Keywords [PDF]

, 2013
With the advent of publicly available geospatial data, ontology-based data access (OBDA) over spatial data has gained increasing interest. Spatio-relational DBMSs are used to implement geographic information systems (GIS) and are fit to manage large amounts of data and geographic objects such as points, lines, polygons, etc.
Thomas Eiter, Thomas Krennwallner, Patrik Schneider   +2 more
openaire   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source