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AI and Chatbot-Supported Interventions for Physical Activity and Obesity-Related Lifestyle Behaviors: Scoping Review With Attention to Family Involvement

Qianxia Jiang, Xiayu Summer Chen, Dev Patel, Keith Brazendale et al. • JMIR Pediatrics and Parenting (2026)

Abstract BackgroundAI-enabled chatbots and related conversational systems can facilitate human–computer interaction through natural language, personalization, and automated support. In pediatric health promotion, these tools hav...

DOAJ Open Access (DOAJ) DOI: 10.2196/98889

Real-Time Weapon Detection and Suspect Face Capturing System Using YOLOv8

Chairina Ulfa, Muhammad Fikry, Hafizh Al Kautsar AIdilof • Journal of Applied Informatics and Computing (2026)

The rise of violent crimes involving sharp weapons and firearms in public spaces, including educational campuses, demands an automated real-time surveillance system to assist security personnel. This study proposes a web-based weapon detect...

DOAJ Open Access (DOAJ) DOI: 10.30871/jaic.v10i4.13454

Using different computing systems to solve the automatic cloud classification problem according to MODIS satellite data by probabilistic neural network

Aleksey Viktorovich Skorokhodov, Sergey Vladimirovich Aksenov, Andrey Vladimirovich Aksenov, Dmitriy Nikolaevich Laykom • Известия Томского политехнического университета: Инжиниринг георесурсов (2017)

The relevance of the research is caused by the necessity to develop algorithms and software to classify the cloud types based on single-layer cloud on the satellite images received from MODIS spectral radiometer used in Terra and Aqua remot...

DOAJ Open Access (DOAJ)

Computer vision: algorithms and applications

Richard Szeliski • Choice Reviews Online (2011)

Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old ...

OPENALEX DOI: https://doi.org/10.5860/choice.48-5140

A coordinated and enhanced brain network supports the persistence of long-term cocaine memory

Xuan Chen, Zihang Li, Yong Han, Liping Yang et al. • Translational Psychiatry (2025)

Abstract The persistence of drug memories accounts for the high risk of drug relapse, which is a major challenge in the treatment of substance use disorders. However, the neurobiological underpinnings, especially the dynamic changes of brai...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41398-025-03667-y

Connectomic insights into the impact of 1p/19q co-deletion in dominant hemisphere insular glioma patients

Zuo-cheng Yang, Bo-wen Xue, Xin-yu Song, Chuan-dong Yin et al. • Frontiers in Neuroscience (2024)

ObjectivesThis study aimed to elucidate the influences of 1p/19q co-deletion on structural connectivity alterations in patients with dominant hemisphere insular diffuse gliomas.MethodsWe incorporated 32 cases of left insular gliomas and 20 ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnins.2024.1283518

Artificial neural networks

Judith E. Dayhoff, James M. DeLeo • Cancer (2001)

Artificial neural networks now are used in many fields. They have become well established as viable, multipurpose, robust computational methodologies with solid theoretic support and with strong potential to be effective in any discipline, ...

OPENALEX Open Access DOI: https://doi.org/10.1002/1097-0142(20010415)91:8+<1615::aid-cncr1175>3.0.co;2-l

Formative assessment: a key to deep learning?

Alison Beverley Rushton • Medical Teacher (2005)

A paradigm shift in assessment culture has emphasized the importance of formative assessment. The existing evidence supports the identification of feedback as the central component of formative assessment. Feedback provides information abou...

OPENALEX DOI: https://doi.org/10.1080/01421590500129159

On optimization methods for deep learning

Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow et al. • International Conference on Machine Learning (2011)

The predominant methodology in training deep learning advocates the use of stochastic gradient descent methods (SGDs). Despite its ease of implementation, SGDs are difficult to tune and parallelize. These problems make it challenging to dev...

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Identifying urban villages using graph neural network and transfer learning in Southern Jiangsu, China

Zhenkang Wang, Nan Xia, Jiale Liang, Jiechen Wang • Geo-spatial Information Science (2026)

China’s rapid urbanization has led to the emergence of urban villages (UVs), whose governance is crucial for urban quality and built environment management. However, conventional identification methods rely on high-resolution remote sensing...

DOAJ Open Access (DOAJ) DOI: 10.1080/10095020.2026.2711549

Hierarchical Multimodal Sleep Staging with Optimized EEG, EOG, and PPG Features for Wearable Applications

Roberto De Fazio, Matteo Paiano, Ramiro Velazquez, Carolina Del-Valle-Soto et al. • Applied Sciences (2026)

Automatic sleep staging is fundamental for diagnosing sleep disorders and enabling long-term sleep monitoring with wearable devices. Although Deep Learning has significantly improved classification performance, balancing accuracy with compu...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16168164

An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders

Xuening Lyu, Rimsa Goperma, Dandan Wang, Chunling Wan et al. • BMC Psychiatry (2025)

Abstract Background Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for the precise diagnosis of mental disorders. However, its diagnostic potential has been constrained by the limitations of traditional s...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12888-025-07196-2

Deep-learning–based non-contrast CT for detecting acute ischemic stroke: a systematic review and HSROC meta-analysis of patient-level diagnostic accuracy

Kalab Yigermal Gete, Asnakew Achaw Ayele • BMC Neurology (2025)

Abstract Background Non-contrast CT (NCCT) is first-line imaging for suspected acute ischemic stroke (AIS) but has limited early sensitivity; deep learning (DL) may improve patient-level detection. Objectives To estimate the diagnostic accu...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12883-025-04528-3

Theano: Deep Learning on GPUs with Python

James Bergstra, Frédéric Bastien, Olivier Breuleux, Pascal Lamblin et al. (2012)

In this paper, we present Theano1, a framework in the Python programming language for defining, optimizing and evaluating expressions involving high-level operations on ten-sors. Theano offers most of NumPy’s functionality, but adds automat...

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An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery

JongCheol Pyo, Hongtao Duan, Mayzonee Ligaray, Minjeong Kim et al. • Remote Sensing (2020)

Hyperspectral image sensing can be used to effectively detect the distribution of harmful cyanobacteria. To accomplish this, physical- and/or model-based simulations have been conducted to perform an atmospheric correction (AC) and an estim...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs12071073