Unstructured Electronic Health Records of Dysphagic Patients Analyzed by Large Language Models by Luisa Neubig, Deirdre Larsen, Melda Kunduk, Andreas M. Kist

“…It aligns with Clinical Research, enhancing diagnostic speed and enabling personalized treatment.…”
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Comparison of light gradient boosting and logistic regression for interactomic hub genes in Porphyromonas gingivalis and Fusobacterium nucleatum-induced periodontitis with Alzheime... by Pradeep Kumar Yadalam, Shubhangini Chatterjee, Prabhu Manickam Natarajan, Carlos M. Ardila, Carlos M. Ardila

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A Survey on Adversarial Attacks for Malware Analysis by Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Pradip Kunwar, Bhavani Thuraisingham

“…Machine learning-based malware analysis approaches are widely researched and deployed in critical infrastructures for detecting and classifying evasive and growing malware threats. …”
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Industry 6.0: methodology, tools, practice by Babkin Aleksandr, Liberman Irina, Klachek Pavel, Shkarupeta Elena

“…By analogy with genetic algorithms (where inheritance, mutation, selection, crossing over, etc. are used), the methodology and technology of DNA engineering of cybersocial metaecosystems include approaches of genetic engineering in an expanded synergetic, interdisciplinary format, which allows using the principles of convergent evolution and NBIC convergence. …”
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Pediatric sepsis phenotypes for enhanced therapeutics: An application of clustering to electronic health records by Ioannis Koutroulis, Tom Velez, Tony Wang, Seife Yohannes, Jessica E. Galarraga, Joseph A. Morales, Robert J. Freishtat, James M. Chamberlain

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Monitoring and optimization of POCT devices in a multi-specialty hospital in Poland: usage trends, quality assurance, and clinical impact (2017–2024) by Agnieszka Woźniak-Kosek, Lucyna Drążek

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Implementasi Metode Backpropogation dengan Inisialisasi Bobot Nguyen Widrow untuk Peramalan Harga Saham by Eliv Kurniawan, Hari Wibawanto, Djoko Adi Widodo

“…One of the weight initialization algorithms that can be increase the execution time is nguyen-widrow. …”
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Analysis of the Current State of Digitalization İmplementation in the Banking System of Azerbaijan by K. N. Atayev

“…The results of the conducted research reveal that the process of digitalization in Azerbaijan’s banking sector has been developing in a consistent and systematic manner in recent years. …”
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Schizophrenia Detection and Classification: A Systematic Review of the Last Decade by Arghyasree Saha, Seungmin Park, Zong Woo Geem, Pawan Kumar Singh

“…Background/Objectives: Artificial Intelligence (AI) in healthcare employs advanced algorithms to analyze complex and large-scale datasets, mimicking aspects of human cognition. …”
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Voices of People With Disabilities: Integrating Topic Modeling and Sentiment Analysis to Study Disability Discourse on Social Media by Richard K. Lomotey, Sandra Kumi, Christian Nyaku, Ralph Deters

“…Thus, the voices of PwDs, as expressed freely on social media, must be studied to better understand the fundamental challenges they face. In this research, we analyze the comments expressed in Disability communities on Reddit in the last 5 years (from 2019 to 2024) to uncover the concerns and sentiments of PwDs. …”
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Comparison between coronal FLASH and sagittal double echo steady state MRI in detecting longitudinal cartilage thickness change by fully automated segmentation – Data from the FNIH... by Felix Eckstein, Akshay S. Chaudhari, David J. Hunter, Wolfgang Wirth

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Speech Enhancement using Greedy Dictionary Learning and Sparse Recovery by K. N. H. Srinivas, I. Santhi Prabha, M. Venugopala Rao

“…For speech denoising, many researchers worked on sparse representation and dictionary learning algorithms. …”
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Design of machine learning-based controllers for speed control of PMSM drive by Ashly Mary Tom, J. L. Febin Daya

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A synthesis method for zero-sum mean-payoff asynchronous probabilistic games by Wei Zhao, Wanwei Liu, Zhiming Liu, Tiexin Wang

“…Next, two symbolic algorithms running in polynomial time are proposed to calculate the expected mean payoffs, and both algorithms adopt uniform random strategies. …”
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A comprehensive approach to predict a rocket's impact with stochastic estimators and artificial neural networks by Jose Abreu, Roberto L. Oliveira, Joao V. Fonseca Neto

“…Abstract One of the current ways to continue space research is to launch ballistic rockets that carry scientific payloads. …”
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Digital culture in the light of educational processes. Ad vocem for the remarks and musings of Jordan Shapiro concerning the digital childhood by Łukasz Androsiuk, Małgorzata Obrycka

“…The adopted method of analytical hermeneutics allows not only for a critical examination of Shapiro’s ideas but also for a reflection on the language used to describe digital education and media culture. The primary research question takes the following form: Does digital childhood, as conceptualized by Jordan Shapiro, still represent a clear opportunity for the development of educational competencies, or does it now require deeper critical reflection particularly in the context of cultural algorithmization and the surveillance capitalism intertwined with it?…”
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A secure framework for the Internet of Things anomalies using machine learning by Vijay Prakash, Olukayode Odedina, Ajay Kumar, Lalit Garg, Seema Bawa

“…The proposed framework achieved a high detection accuracy ranging from 91 to 98% across the tested algorithms, with CART showing the best performance. …”
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Review of the Color Gradient Lattice Boltzmann Method for Simulating Multi-Phase Flow in Porous Media: Viscosity, Gradient Calculation, and Fluid Acceleration by Fizza Zahid, Jeffrey A. Cunningham

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Analysis of the Impact for Mixed Traffic Flow Based on the Time-Varying Model Predictive Control by Rongjun Cheng, Haoli Lou, Qi Wei

“…The connected and automated vehicles (CAV) smoothing mixed traffic flow has gained attention, and a thorough assessment of these control algorithms is necessary. Our previous research proposed the time-varying model predictive control (TV-MPC) strategy, which considers the time-varying driving style of human driven vehicles (HDV), performing better than current baseline models. …”
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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

“…Individual risk assessment was performed using SHAP plots and waterfall plot analysis.ConclusionsOur research demonstrates the potential of ML methods in the early prediction of HF risk in AMI patients. …”
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