Results 41 to 50 of about 39,898 (264)

Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping

Advanced Intelligent Systems, EarlyView.
This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu, Raaid Kabir, Ayodeji Aderibigbe, Oladoyin Kolawole   +5 more
wiley   +1 more source

Mother: a maternal online technology for health care dataset

BMC Research Notes
Objectives These data enable the development of both textual and speech based conversational machine learning models that can be used by expectant mothers to provide answers to challenges they face during the different trimesters of their pregnancy. Such
Odongo Steven Eyobu, Brian Angoda Nyanga, Lukman Bukenya, Daniel Ongom, Tonny J. Oyana   +4 more
doaj   +1 more source

Fine-Tuning LLM-Assisted Chinese Disaster Geospatial Intelligence Extraction and Case Studies

ISPRS International Journal of Geo-Information
The extraction of disaster geospatial intelligence (DGI) from social media data with spatiotemporal attributes plays a crucial role in real-time disaster monitoring and emergency decision-making. However, conventional machine learning approaches struggle
Yaoyao Han, Jiping Liu, An Luo, Yong Wang, Shuai Bao   +4 more
doaj   +1 more source

Using photovoice to understand community perceptions of firearm risks and protective factors among Asian Americans

American Journal of Community Psychology, EarlyView.
Abstract This study used photovoice methodology to explore Asian Americans' perspectives on the root causes and protective factors of firearm violence in their communities. Photovoice provided a participatory platform for community members to document lived experiences and identify priorities for change.
Tsu‐Yin Wu, Szu‐Hsien Chen, Xining Yang, Ken Resnicow, Hsing‐Fang Hsieh   +4 more
wiley   +1 more source

Refining National Forest Cover Data Based on Fusion Optical Satellite Imageries in Indonesia

International Journal of Forestry Research, 2023
Precision mapping towards tropical forest cover data is critical to address the global climate crisis, such as land-based carbon measurement and potential conservation areas identification.
Ogy Dwi Aulia, Isnenti Apriani, Andi Juanda, Mufti Fathul Barri, Rosima Wati Dewi, Fauzan Nafis Muharam, Bryandanu Oktanine, Theresia Bernadette Phoa, Aryo Adhi Condro   +8 more
doaj   +1 more source

Assessing the Feasibility of Wearable Devices for Physiological Monitoring and Heat Risk Prediction in Outdoor Agricultural Workers

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan, Elizabeth Mizelle, Qiang Wu, Rui Wu, Guy Iverson, Ciprian Popoviciu, Dylan Hemedinger, Eliezer Loyola, Takari Hood, Monica Ramirez, Jo Anne Balanay   +10 more
wiley   +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

Inferring building functions from a weighted graph isomorphic network based on the building-POI graph

Geo-spatial Information Science
Building function is the practical use of a structure, playing a crucial role in urban planning and risk management. However, prevailing studies utilizing graph neural networks (GNNs) often regard building function inference as a node classification task,
Zhang Ya, Jiping Liu, Wang Yong, Luo An, Shenghua Xu, Zhiran Zhang   +5 more
doaj   +1 more source

National and International Monitoring of Student Literacy and Numeracy Attainment: The Case for Rigorous Macro and Micro Analysis

Australian Journal of Social Issues, EarlyView.
ABSTRACT In her 2024 paper Are Australian students' academic skills declining? Interrogating 25 years of national and international standardised assessment data, Larsen compiled an impressive summary of major international (PISA, PIRLS and TIMSS) and national (NAPLAN) standardised assessments pertaining to literacy and numeracy.
Pamela C. Snow, Tanya A. Serry, Jennifer Buckingham, Lorraine S. Hammond, Stephen Dinham, Eamon Charles, Tessa A. Weadman, Nathanial R. Swain, Susan Hiland, Tessa Daffern   +9 more
wiley   +1 more source

A Fine-Grained Dataset and Spatial-Frequency Aggregation Network for UAV Nighttime Urban Lighting Scene Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote sensing scene (RSS) classification is important for urban infrastructure development, analysis of nighttime economic activities, and energy consumption monitoring.
Daoquan Zhang, Deping Li, Liang Zhou, Jiejie Wu, Chengzhi Zong, Tingting Jiang, Chen Huang, Penggui Xie, Xinguang He   +8 more
doaj   +1 more source