Classification of Severity of Lung Parenchyma Using Saliency and Discrete Cosine Transform Energy in Computed Tomography of Patients With COVID-19 by Santiago Tello-Mijares, Francisco Flores, Fomuy Woo

“…As a result, CNN models outperformed traditional artificial intelligence classification techniques. Of these, Vgg16Net performed best, delivering top-tier classification results for COVID-19 severity assessment, with a recall rate of 95.38%, precision of 96%, accuracy of 95.84%, and area under the receiver operating characteristic (AUROC) curve of 0.9585; in addition, the Vgg16Net delivers the lowest false negative (FN) results. …”
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Text mining of practical disaster reports: Case study on Cascadia earthquake preparedness. by Julia C Lensing, John Y Choe, Branden B Johnson, Jingwen Wang

“…Survey results highlight that while simple tools may yield insights that are primarily interpretable by experienced professionals, more advanced tools utilizing large language models, such as Generative Pre-trained Transformer (GPT), offer more accessible insights, albeit with known risk associated with current artificial intelligence technologies. To ensure reproducibility, all supporting data and code are made publicly available (DOI: 10.17603/ds2-9s7w-9694).…”
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Assessing traditional Chinese medicine from a molecular perspective by Minhui Su, Wenxi Wang, Xudong Sun, Lihong Li, Weihong Tan

“…Therefore, TCM has experienced rapid modernization by leveraging artificial intelligence, nucleic acid molecular medicine, and bioelectronic medicine.…”
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Human-Centered AI for Migrant Integration Through LLM and RAG Optimization by Dagoberto Castellanos-Nieves, Luis García-Forte

“…The enhancement of mechanisms to protect the rights of migrants and refugees within the European Union represents a critical area for human-centered artificial intelligence (HCAI). Traditionally, the focus on algorithms alone has shifted toward a more comprehensive understanding of AI’s potential to shape technology in ways which better serve human needs, particularly for disadvantaged groups. …”
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APDL: an adaptive step size method for white-box adversarial attacks by Jiale Hu, Xiang Li, Changzheng Liu, Ronghua Zhang, Junwei Tang, Yi Sun, Yuedong Wang

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Self-Organizing Mapping Neural Network Implementation Based on 3-D NAND Flash for Competitive Learning by Anyi Zhu, Lei Jin, Wen Zhou, Tianchun Ye, Zongliang Huo

“…The experimental results illustrate the excellent performance and efficiency of the proposed architecture, highlighting the potential of 3D NAND-based in-memory computing for artificial intelligence applications.…”
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Analysis and Classification of Fake News Using Sequential Pattern Mining by M. Zohaib Nawaz, M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He

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ImproveYourVideos: Architectural Improvements for Text-to-Video Generation Pipeline by Vladimir Arkhipkin, Zein Shaheen, Viacheslav Vasilev, Elizaveta Dakhova, Konstantin Sobolev, Andrey Kuznetsov, Denis Dimitrov

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On the Stability of the Kubernetes Horizontal Autoscaler Control Loop by Berta Serracanta, Andor Lukacs, Alberto Rodriguez-Natal, Albert Cabellos, Gabor Retvari

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Evaluation of the Risk of Recurrence in Patients with Local Advanced Rectal Tumours by Different Radiomic Analysis Approaches by Alaa Khadidos, Adil Khadidos, Olfat M. Mirza, Tawfiq Hasanin, Wegayehu Enbeyle, Abdulsattar Abdullah Hamad

“…The word radiomics, like all domains of type omics, assumes the existence of a large amount of data. Using artificial intelligence, in particular, different machine learning techniques, is a necessary step for better data exploitation. …”
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Software Integration of Power System Measurement Devices with AI Capabilities by Victoria Arenas-Ramos, Federico Cuesta, Victor Pallares-Lopez, Isabel Santiago

“…Moreover, real-time Artificial Intelligence capabilities have been validated by implementing three Machine Learning classifiers (Neural Network, Decision Tree, and Random Forest) to distinguish between three different loads in real time.…”
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Transcriptomics profiling of Parkinson’s disease progression subtypes reveals distinctive patterns of gene expression by Carlo Fabrizio, Andrea Termine, Carlo Caltagirone

“…Background Parkinson’s Disease (PD) varies widely among individuals, and Artificial Intelligence (AI) has recently helped to identify three disease progression subtypes. …”
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RETRACTED ARTICLE: Conceptualising a channel-based overlapping CNN tower architecture for COVID-19 identification from CT-scan images by Ravi Shekhar Tiwari, Lakshmi D, Tapan Kumar Das, Kathiravan Srinivasan, Chuan-Yu Chang

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A Novel Modeling Technique for the Forecasting of Multiple-Asset Trading Volumes: Innovative Initial-Value-Problem Differential Equation Algorithms for Reinforcement Machine Learni... by Mazin A. M. Al Janabi

“…In addition, they can be applied to artificial intelligence and machine learning for the policymaking process, reinforcement machine learning techniques for the Internet of Things (IoT) data analytics, expert systems in finance, FinTech, and within big data ecosystems.…”
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Improving 3D deep learning segmentation with biophysically motivated cell synthesis by Roman Bruch, Mario Vitacolonna, Elina Nürnberg, Simeon Sauer, Rüdiger Rudolf, Markus Reischl

“…Abstract Biomedical research increasingly relies on three-dimensional (3D) cell culture models and artificial-intelligence-based analysis can potentially facilitate a detailed and accurate feature extraction on a single-cell level. …”
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Bridging the Gap in the Adoption of Trustworthy AI in Indian Healthcare: Challenges and Opportunities by Sarat Kumar Chettri, Rup Kumar Deka, Manob Jyoti Saikia

“…Despite these transformations, there are major challenges to address critical issues like insufficient healthcare infrastructure for the country’s huge population, limited accessibility, shortage of skilled professionals, and high-quality care. Artificial intelligence (AI)-driven solutions have the potential to lessen the stress on India’s healthcare system; however, integrating trustworthy AI in the sector remains challenging due to ethical and regulatory constraints. …”
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A Deep Learning-Based Approach to Garbage Detection in urban centers by Slvar Abdulazeez Arif, Abubakar M. Ashir

“…The proposed method is an innovative way that address environmental concerns through the integration of artificial intelligence (AI) and image recognition technology. …”
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Widefield Optical Coherence Tomography Angiography in Diabetic Retinopathy by Alessia Amato, Francesco Nadin, Federico Borghesan, Maria Vittoria Cicinelli, Irini Chatziralli, Saena Sadiq, Rukhsana Mirza, Francesco Bandello

“…Quantitative estimates and topographic distribution of NPA and NV are useful for treatment monitoring and artificial intelligence-based approaches. Curvature, segmentation, and motion artifacts should be assessed when using WF-OCTA. …”
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Tracking Control of Wave-Adaptive Modular Unmanned Surface Vehicle Using Time-Delay Zeroing Neural Network by Pengfei Guo, Wenyue Zhang, Zheng Li, Zheng Zheng

“…The advancement of artificial intelligence has significantly enhanced the role of unmanned surface vehicles (USVs) in various ocean engineering applications. …”
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Prospects for the development of the domestic hotel business and personnel training by M. A. Zhukova, V. A. Zhukov, O. R. Tsabolova

“…It was revealed that further digitalization, the use of modern software and the use of artificial intelligence in the hotel business will lead to a decrease in routine work in hotels, a reduction in employees and at the same time to the need to improve their qualification level. …”
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