Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review by Keerthi A. S. Pillai, Preena K. P., Madhu S. Nair

“…The article also presents a detailed experimental analysis of deep learning models, benchmarked using TOF MRA datasets. …”
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Arquitectura para la Creación y Enriquecimiento Automático de Ontologías a partir de Datos Enlazados by Ricardo José Dos Santos-Guillén, Eduard Gilberto Puerto-Cuadros, Jose Lisandro Aguilar

“…Finally, the article presents a case study focused on demonstrating the process of generating an emerging ontology in the area of ​​the COVID-19 pandemic, leveraging information available on the Internet through pre-existing ontologies and linked data sources.…”
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FLORA: a novel method to predict protein function from structure in diverse superfamilies. by Oliver C Redfern, Benoît H Dessailly, Timothy J Dallman, Ian Sillitoe, Christine A Orengo

“…The majority of prediction algorithms employ local templates built on known or predicted functional residues. Here, we present a novel method (FLORA) that automatically generates structural motifs associated with different functional sub-families (FSGs) within functionally diverse domain superfamilies. …”
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Secondary bilateral synchrony due to fronto-mesial lesions: an invasive recording study by ARTHUR CUKIERT, CASSIO FORSTER, JOSE AUGUSTO BURATINI, VIVIANE BORGES FERREIRA, GARY GRONICH

“…Frontal lobe epilepsies may present difficulties in focus localization in the pre-operative work-up for epilepsy surgery. …”
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Automated Redaction of Personally Identifiable Information on Drug Labels Using Optical Character Recognition and Large Language Models for Compliance with Thailand’s Personal Data... by Parinya Thetbanthad, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang

“…The rapid proliferation of artificial intelligence (AI) across various industries presents both opportunities and challenges, particularly concerning personal data privacy. …”
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Fastosh: a software for the treatment of XAFS datasets of environmental relevance or acquired in operando conditions by Gautier Landrot, Emiliano Fonda

“…It can be employed to identify the nature of chemical species present as principal components in a sample mixture, which is a case commonly encountered when studying a set of natural samples or a chemical reaction followed in situ at the beamline, where multiple species may coexist, including intermediary species. …”
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LM-Merger: a workflow for merging logical models with an application to gene regulatory network models by Luna Xingyu Li, Boris Aguilar, John Gennari, Guangrong Qin

“…This necessitates the development of approaches for improving the models through model merging. Results We present LM-Merger, a workflow for semi-automatically merging logical GRN models. …”
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Developing an Automated Model-Based Software Testing Tool From the Design Phase by Rasha Gh. Alsarraj, Atica M. Altaie, Esra Zuhair Majeed

“…To address this issue, we suggest automated generation paths using a support tool. The present study proposes a tool for automatically generating test paths from IDEF and UML models to facilitate automated and model-based software testing. …”
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Combined Application of Deep Learning and Radiomic Features for Classification of Lung CT Images by Shariati Faridoddin, V. A. Pavlov

“…Lung cancer, distinguished by its heterogeneity, presents significant challenges in diagnosis and treatment, requiring innovative approaches for precise mutation classification.Aim. …”
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Interpersonal Relationship Detection Using Multi-Head Graph Attention Networks With Multi-Feature Fusion by Simge Akay, Duygu Cakir, Nafiz Arica

“…The ability to automatically detect and understand interpersonal relationships from visual data represents a fundamental challenge in computer vision and social signal processing. …”
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Validation of Low-Cost IMUs for Telerehabilitation Exercises by Federico Caramia, Emanuele D’Angelantonio, Leandro Lucangeli, Valentina Camomilla

“…Each exercise was automatically segmented into single repetitions, from which selected metrics were computed. …”
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Expedited re-design of multi-band passive microwave circuits using orthogonal scaling directions and gradient-based tuning by Slawomir Koziel, Anna Pietrenko-Dabrowska, Ubaid Ullah

“…The scaling range is then automatically computed by solving an appropriately-defined least-square design relocation problem. …”
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Domain-specific neural substrates underlie the framing effect by Sai Sun, Jianping Hu, Rongjun Yu

“…Neuroeconomic studies have shown the engagement of the amygdala underlies the framing effect by automatically incorporating emotional (or intuitive) information into the decision process, thus leading to ''irrational'' decisions or decision biases (De Martino et al. 2006). …”
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Combining Convolutional Neural Network and Markov Random Field for Semantic Image Retrieval by Haijiao Xu, Changqin Huang, Xiaodi Huang, Chunyan Xu, Muxiong Huang

“…As a key step, image concept detection, that is, automatically recognizing multiple semantic concepts in an unlabeled image, plays an important role in semantic image retrieval. …”
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Energy Requirement and Food Intake Behaviour in Young Adult Intact Male Cats with and without Predisposition to Overweight by Brigitta Wichert, Julia Trossen, Daniel Uebelhart, Marcel Wanner, Sonja Hartnack

“…In the experimental cat family of the institute of animal nutrition besides a “normal” lean phenotype, cats with predisposition to an overweight phenotype are present. To investigate energy requirements and food intake behaviour of intact male cats of different phenotypes, six “normal” lean cats (GL) and six cats disposed to overweight (GO) were used. …”
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TinySurveillance: An Extra Low-Power Event-Based Surveillance Method for UAVs by Arash Farahdel, Alimul H. Khan, Hossein Keshmiri, Khan A. Wahid

“…The surveillance starts automatically when the low-power AI-based onboard processor detects the desired event. …”
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Research on fault diagnosis method for variable condition planetary gearbox based on SKN attention mechanism and deep transfer learning by Nai-Qiu Huang, Meng-Meng Song, Yao-Hong Tang, Li-Xia Huang, Zhi-Wen Chen

“…However, the multi-coupling fault characteristics, accompanied by data fuzziness and distribution differences, present certain challenges to diagnostic research. …”
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XSShield: A novel dataset and lightweight hybrid deep learning model for XSS attack detection by Gia-Huy Luu, Minh-Khang Duong, Trong-Phuc Pham-Ngo, Thanh-Sang Ngo, Dat-Thinh Nguyen, Xuan-Ha Nguyen, Kim-Hung Le

“…To address these challenges, in this paper, we propose a novel framework that automatically collects web resources, efficiently extracts informative features, and constructs an up-to-date XSS attack dataset, which is then used to train a machine learning-based XSS detection model. …”
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Association Between Social Distancing Compliance and Public Place Crowding During the COVID-19 Pandemic: Cross-Sectional Observational Study Using Computer Vision to Analyze Survei... by Lasse Suonperä Liebst, Wim Bernasco, Peter Ejbye-Ernst, Nigel van Herwijnen, Thomas van der Veen, Dennis Koelma, Cees G M Snoek, Marie Rosenkrantz Lindegaard

“…At the aggregated level, there was an estimated increase of approximately 6 additional violations for every 10 additional individuals present, with a very large R ConclusionsThe direct positive relationship between crowding and distancing violations suggests that potential transmission encounters can be identified by simply counting the number of people present in a location. …”
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Characterizing the Impact of Physical Activity on Patients with Type 1 Diabetes Using Statistical and Machine Learning Models by David Chushig-Muzo, Hugo Calero-Díaz, Himar Fabelo, Eirik Årsand, Peter Ruben van Dijk, Cristina Soguero-Ruiz

“…Both Eversense and FSL devices present measurements with large variability during strenuous PA, indicating that their users should be cautious. …”
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