Public sentiment and engagement on cybersecurity: Insights from Reddit discussions by Krishnashree Achuthan, Sugandh Khobragade, Robin Kowalski

“…We employ sentiment analysis, topic modeling, and zero-shot text classification to analyze 33,893 news and user posts, along with the corresponding 194,591 news and user comments, across five subreddit discussion forums between 2012 and 2022. …”
Get full text

XIX world congress of psychiatry – an important stage in the development of general medical care for people suffering from mental diseases by N. A. Kornetov

Get full text

Artificial Neural Network and Latent Semantic Analysis for Adverse Drug Reaction Detection by Ahmed Adil Nafea, Nazlia Omar, Zohaa Mubarak Al-qfail

“…These methods train the classification model using annotated medical review data. …”
Get full text

A Ship Detector Design Based on Deep Convolutional Neural Networks for Satellite Images by Ferhat Ucar, Deniz Korkmaz

Get full text

Multi-label feature selection based on dynamic graph Laplacian by Yonghao LI, Liang HU, Ping ZHANG, Wanfu GAO

“…In view of the problems that graph-based multi-label feature selection methods ignore the dynamic change of graph Laplacian matrix, as well as such methods employ logical-value labels to guide feature selection process and loses label information, a multi-label feature selection method based on both dynamic graph Laplacian matrix and real-value labels was proposed.The robust low-dimensional space of feature matrix was used to construct a dynamic graph Laplacian matrix, and the robust low-dimensional space was used as the real-value label space.Furthermore, manifold and non-negative constraints were adopted to transform logical labels into real-valued labels to address the issues mentioned above.The proposed method was compared to three multi-label feature selection methods on nine multi-label benchmark data sets in experiments.The experimental results demonstrate that the proposed multi-label feature selection method can obtain the higher quality feature subset and achieve good classification performance.…”
Get full text

Multi-label feature selection based on dynamic graph Laplacian by Yonghao LI, Liang HU, Ping ZHANG, Wanfu GAO

“…In view of the problems that graph-based multi-label feature selection methods ignore the dynamic change of graph Laplacian matrix, as well as such methods employ logical-value labels to guide feature selection process and loses label information, a multi-label feature selection method based on both dynamic graph Laplacian matrix and real-value labels was proposed.The robust low-dimensional space of feature matrix was used to construct a dynamic graph Laplacian matrix, and the robust low-dimensional space was used as the real-value label space.Furthermore, manifold and non-negative constraints were adopted to transform logical labels into real-valued labels to address the issues mentioned above.The proposed method was compared to three multi-label feature selection methods on nine multi-label benchmark data sets in experiments.The experimental results demonstrate that the proposed multi-label feature selection method can obtain the higher quality feature subset and achieve good classification performance.…”
Get full text

Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices by Tess Watt, Christos Chrysoulas, Peter J. Barclay, Brahim El Boudani, Grigorios Kalliatakis

“…Image classification usually requires connectivity and access to the cloud, which is often limited in many parts of the world, including hard-to-reach rural areas. …”
Get full text

A Layered Software Architecture for the Development of Smart Mobile Distributed Systems Oriented to the Management of Emergency Cases by Lizbeth Yesenia Contreras Rivas, Eduardo López Domínguez, Yesenia Hernández Velázquez, Saúl Domínguez Isidro, María Auxilio Medina Nieto, Jorge De La Calleja

Get full text

Enhancing Software Sustainability: Leveraging Large Language Models to Evaluate Security Requirements Fulfillment in Requirements Engineering by Ahmad F. Subahi

“…The findings demonstrate the effectiveness of advanced ML models in automating NFR classification, improving software security, and supporting social sustainability. …”
Get full text

Detection of Apple Plant Diseases Using Leaf Images Through Convolutional Neural Network by Vibhor Kumar Vishnoi, Krishan Kumar, Brajesh Kumar, Shashank Mohan, Arfat Ahmad Khan

“…However, need of larger training sets, computational complexity, and overfitting, etc. are the major issues with these techniques that still need to be addressed. …”
Get full text

‘‘There's no quick fix!’’ Factors influencing rapid weight loss practices in Irish horseracing and the potential scope for change by D. O'Neill, G. Warrington, L. King, J. Pugh, A. McGoldrick, S. O'Connor, S.J. Cullen

Get full text

Diagnostic algorithm for post-traumatic stress disorder by A. V. Vasileva, T. A. Karavaeva, D. S. Radionov, D. A. Starunskaya

“…Based on a review of domestic and foreign literature, the article highlights topical issues of PTSD classification, provides a diagnostic algorithm in the context of an interdisciplinary approach. …”
Get full text

Artificial intelligence at the service of digital archives: reconstituting archival aggregations and enriching metadata schemas by Stefano Allegrezza

Get full text

Facial Expression Recognition using Convolutional Neural Networks with Transfer Learning Resnet-50 by Annisa Ayu Istiqomah, Christy Atika Sari, Ajib Susanto, Eko Hari Rachmawanto

Get full text

Ultra-lightweight tomatoes disease recognition method based on efficient attention mechanism in complex environment by Wenbin Sun, Zhilong Xu, Kang Xu, Lin Ru, Ranbing Yang, Rong Wang, Jiejie Xing

Get full text

Rebirth of the Philosophies of Humanities With Respect to the Islamic Philosophy by Husain SÙzanchi

“…In the traditional classification of knowledge, “First Philosophy”, because of admittance of the hierarchical nature of knowledge, was considered as the “mother of sciences” so that, epistemologically, it could support all other sciences. …”
Get full text

Image Recognition and Processing of Rock Cuttings Based on Computer Vision by WANG Dewei, DENG Rui, CHENG Jiaqin

“…Completed the feature information extraction of rock cuttings images and the classification and recognition of rock cuttings types. …”
Get full text

CIA-UNet: An Attention-Enhanced Multi-Scale U-Net for Single Tree Crown Segmentation by Jiapeng Duan, Chuanzhao Tian, Wansi Liu, Lixiang Cao, Teng Feng, Xiaomin Tian

Get full text

Application of the method of insignificant divergences to diagnose the technical aircraft gas turbine engine state under the transient-state conditions of its operation by O. F. Mashoshin, I. G. Kharmats

“…The article deals with issues related to the use of parametric information of the transient-state gas turbine engines (GTE) operation conditions for diagnosing their technical condition during the operation. …”
Get full text

EDT-MCFEF: a multi-channel feature fusion model for emergency department triage of medical texts by Tao Lin, Shiming Yi

“…However, traditional triage methods frequently depend on human judgment, which is susceptible to high subjectivity and low efficiency.MethodsTo address these issues, this paper presents a novel emergency department triage algorithm. …”
Get full text