Results 111 to 120 of about 65,450 (292)

MSSA: A Multi-Scale Semantic-Aware Method for Remote Sensing Image–Text Retrieval

Remote Sensing
In recent years, the convenience and potential for information extraction offered by Remote Sensing Image–Text Retrieval (RSITR) have made it a significant focus of research in remote sensing (RS) knowledge services.
Yun Liao, Zongxiao Hu, Fangwei Jin, Junhui Liu, Nan Chen, Jiayi Lv, Qing Duan   +6 more
doaj   +1 more source

A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks

Advanced Intelligent Systems, EarlyView.
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan, Oliver Artner, Paul‐Philipp Manea, Sebastian Siegel, Susanne Hoffmann‐Eifert, Regina Dittmann, John Paul Strachan   +6 more
wiley   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

ResearchConnect: An AI‐Powered Platform for Interdisciplinary Research Team Formation and Ideation Development

Advanced Intelligent Systems, EarlyView.
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav, Milad Masrouri, Zhao Qin   +2 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Strong and Weak Prompt Engineering for Remote Sensing Image-Text Cross-Modal Retrieval

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Cross-modal retrieval is vital at the intersection of vision and language. Specifically, remote sensing image–text retrieval enhances our understanding of complex remote sensing content by combining multiperspective visual information with concise
Tianci Sun, Chengyu Zheng, Xiu Li, Yanli Gao, Jie Nie, Lei Huang, Zhiqiang Wei   +6 more
doaj   +1 more source

Participatory Policy Development: Reflections on Designing the Strong Roots for Our Futures Program in Victoria

Australian Journal of Social Issues, EarlyView.
ABSTRACT In this paper, we trace the journey to create the Strong Roots for our Futures Program, a government program to resource and support Traditional Owners to undertake a range of activities in areas where no state recognition existed. We provide a background to state recognition in Victoria before considering the program design, leading to an ...
Nell Reidy, Bhiamie Williamson, Jesse Williams   +2 more
wiley   +1 more source

Research on Change Information Retrieval Method for Energy Infrastructure Based on Optical Remote Sensing Images

IEEE Access
With the rapid advancement of satellite remote sensing technology, high-resolution optical remote sensing images have become increasingly crucial for monitoring energy infrastructure.
Zhibao Wang, Ying Yuan, Man Zhao, Dan Zhou, Lu Bai, Jinhua Tao, Anna Jurek-Loughrey   +6 more
doaj   +1 more source

Toward Content-Based Hyperspectral Remote Sensing Image Retrieval (CB-HRSIR): A Preliminary Study Based on Spectral Sensitivity Functions

Remote Sensing, 2019
With the emergence of huge volumes of high-resolution Hyperspectral Images (HSI) produced by different types of imaging sensors, analyzing and retrieving these images require effective image description and quantification techniques.
Olfa Ben-Ahmed, Thierry Urruty, Noël Richard, Christine Fernandez-Maloigne   +3 more
doaj   +1 more source

Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS

, 2018
Being able to effectively identify clouds and monitor their evolution is one important step toward more accurate quantitative precipitation estimation and forecast. In this study, a new gradient-based cloud-image segmentation technique is developed using
Hayatbini, Negin, Hsu, Kuo-lin, Sorooshian, Soroosh, Zhang, Fuqing, Zhang, Yunji   +4 more
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