Results 101 to 110 of about 52,163 (250)

Distribution-informed machine learning for flash flood susceptibility: integrating weibull extreme value theory with interpretable models

Scientific Reports
Flash floods represent one of the deadliest weather-related hazards globally, yet their prediction remains fundamentally challenged by extreme class imbalance in observational data.
Farrukh A. Chishtie, Rana U. Ali, Abdolreza Bahremand, Mujtaba Hassan, John J. Clague   +4 more
doaj   +1 more source

Short Message Spam Classification using Decision Tree, Naive Bayes, and Logistic Regression

CoreID Journal
The increasing use of Short Message Service (SMS) in digital communication has been accompanied by a rise in spam messages, which threaten user convenience and information security.
Citra Aulia, Azalia Fathimah Dinah, Dzilan Nazira Zahratunnisa, Rofik Efendi   +3 more
doaj   +1 more source

Looking back on childhood experiences of homelessness: Stories of ongoing residential instability and resilience

American Journal of Community Psychology, EarlyView.
Abstract Families' experience of homelessness is typically examined from the perspective of parents during or shortly after a shelter stay. Parents complain about rules, surveillance, crowding, and challenges to parenting in both homeless shelters and in doubling up with other households (sharing the others' homes), and relief when they attain their ...
Marybeth Shinn, Emma J. Sacks, Kayla Fike   +2 more
wiley   +1 more source

Comparative Analysis of Random Forest, Logistic Regression and SVM for Stunting Prediction Using Anthropometric Data

Journal of Information Systems and Informatics
Stunting remains a critical nutritional issue in Indonesia, significantly impacting the physical and cognitive development of children under five. Prompt and accurate detection of nutritional status is essential for early intervention.
Shalsa Bela Dwi Widyawati, Purwadi Purwadi, Ika Romadoni Yunita   +2 more
doaj   +1 more source

Building Community Amidst the Institutional Whiteness of Graduate Study: Black Joy and Maroon Moves in an Academic Marronage

Australian Journal of Social Issues, EarlyView.
ABSTRACT This article reflects on the construction of a supportive community of Black Afro‐diasporic graduate students and their supervisors researching issues relating to race in the field of education in Australia. It draws on the concept of marronage—a term rooted in the fugitive act of becoming a maroon, where enslaved people enacted an escape in ...
Hellen Magoi, Casianus Gemoh, Denise Chapman, Edmund Hypolite, Simon Angok, Melanie Baak, Joel Windle   +6 more
wiley   +1 more source

Evaluation of Deep Learning Architectures for Pulmonary CT Lesion Classification Highlighting Diagnostic Performance

Chaos and Fractals
Early identification of pulmonary lesions is a critical factor in enhancing patient prognosis and survival rates. This study systematically evaluates the diagnostic performance of five deep learning architectures, ConvNeXt Base, ResNet50, EfficientNetV2
Ugur Bahtiyar Guven, Yiğitcan Çakmak, Ishak Pacal   +2 more
doaj   +1 more source

Shadow Infrastructures of Labour: A Case Study of Generative AI Use in Victorian Child Protection Practice

Australian Journal of Social Issues, EarlyView.
ABSTRACT Generative Artificial Intelligence (GenAI) tools such as ChatGPT are rapidly entering workplaces, yet their use in frontline human services remains largely undocumented and weakly regulated. Drawing on an investigation into a child protection worker's informal use of ChatGPT, this article provides insight into how GenAI is already shaping ...
Joel Robert McGregor, Linus Tan, Caleb Lloyd, Abigail Sheed   +3 more
wiley   +1 more source

Enhancing semantic segmentation for urban accessibility using high-fidelity synthetic data

Ingenius: Revista de Ciencia y Tecnología
Semantic segmentation of urban scenes is essential for the development of smart cities; however, its effectiveness relies heavily on large, pixel-level annotated datasets, which are particularly scarce for mobility aids.
Santiago Felipe Luna Romero, Renato Gouveia, Mauren Abreu Souza   +2 more
doaj   +1 more source

Integrating machine learning, deep learning, and image analysis for seed species classification

Applications in Plant Sciences, EarlyView.
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth, Eloise Barrett, Rebonto Haque, Ben Wildey, Anthony Hall, Felix Shaw, Jose J. De Vega   +6 more
wiley   +1 more source

Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments

Artificial Intelligence in Agriculture
Instance segmentation, an important image processing operation for automation in agriculture, is used to precisely delineate individual objects of interest within images, which provides foundational information for various automated or robotic tasks such
Ranjan Sapkota, Dawood Ahmed, Manoj Karkee   +2 more
doaj   +1 more source