Results 151 to 160 of about 16,826 (269)

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

What Dynamic Approaches Have Taught Us About Cognition and What They Have Not: On Values in Motion and the Importance of Replicable Forms

Topics in Cognitive Science, EarlyView., 2023
Abstract Over the past several decades, research in the cognitive sciences has foregrounded the importance of active bodies and their continuous dependence on the changing environment, strengthening the relevance of dynamical models. These models have been steadily developed within the ecological psychology approach to cognition, which arguably ...
Joanna Rączaszek‐Leonardi
wiley   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

Comparative Analysis of Machine Learning Algorithms for Automated Hydrophobicity Classification in Composite Insulators Using Contour Features

High Voltage, EarlyView.
ABSTRACT This study presents a comparative analysis of six machine learning algorithms for automated hydrophobicity classification in composite insulators using contour‐based image features. A robust image‐processing pipeline was developed to extract statistical features from water droplet patterns on insulator surfaces, enabling objective ...
Salihu Salisu, Christos Zachariades, Aliyu Abubakar   +2 more
wiley   +1 more source

The Big Data Science Center at the Shanghai Synchrotron Radiation Facility: the architecture of the superfacility

Journal of Synchrotron Radiation, EarlyView.
The Big Data Science Center at the Shanghai Synchrotron Radiation Facility has developed a user‐friendly centralized superfacility platform that integrates the entire large scientific facility lifecycle into a single accessible solution for users, while ensuring that the data lifecycle remains compliant with the findability, accessibility ...
Xiaoyun Li, Chunpeng Wang, Jige Chen, Rongzheng Wan, Jing Ye, Qintong Li, Haojun Cai, Ying Zhang, Aiguo Li, Renzhong Tai, Alessandro Sepe   +10 more
wiley   +1 more source

Spacing effect improves generalization in biological and artificial systems. [PDF]

Patterns (N Y)
Sun G, Huang N, Yan H, Zhou J, Li Q, Lei B, Zhong Y, Wang L.   +7 more
europepmc   +1 more source

Conceptual colour: race, economic knowledge, and the anthropology of financialization De la couleur comme concept : race, connaissances économiques et anthropologie de la financiarisation

Journal of the Royal Anthropological Institute, EarlyView.
Economic anthropologists now carry out fieldwork in settings for which the ethnographic method was never designed, amongst powerful financial actors who are notoriously difficult to access, and in contexts which transcend geographical boundaries. This has engendered a re‐orientation of anthropology, to consider not only the economic lives of people but
Kimberly Chong
wiley   +1 more source

Harmonized Dual Deep Learning Architectures for Image-Based Diagnostics of Skin Neglected Tropical Diseases: Benchmark Study via Novel Funnel Framework. [PDF]

JMIR Dermatol
Minyilu Y, Yimer MA, Meshesha M.
europepmc   +1 more source

‘Everything is a signal’: speaking circuits and noisy signs in the making of language‐oriented AI « Tout est signal » : circuits parlants et signes bruyants dans la création de l'IA orientée langage

Journal of the Royal Anthropological Institute, EarlyView.
Contemporary artificial intelligence (AI) technologies are often presumed to be capable of revealing unmediated truths about the world, including the truths language might hold, echoing the long‐standing assertion that language's primary function is to directly translate reality.
Beth M. Semel
wiley   +1 more source

Deep learning-enabled morphology analysis of bovine sperm for label-free imaging flow cytometry. [PDF]

Front Vet Sci
Umirbaeva A, Kurenkov A, Seisenov B, Zhumanov K, Tadziyev K, Mustafin M, Vorobjev IA, Barteneva NS.   +7 more
europepmc   +1 more source