BLE phase-based ranging: accuracy and capability under strong Wi-Fi interference by Igor Kravets, Nazarii Kotliar, Oleksandr Karpin, Andriy Luchechko

“…In the case of long-distance ranging, ignoring interfered frequencies improves the situation dramatically, but this results in worse resolution and sometimes may identify the distance incorrectly due to false peaks.…”
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Monitoring oral health remotely: ethical considerations when using AI among vulnerable populations by Colman McGrath, Chun Wang Reinhard Chau, Gustavo Fabián Molina

“…Furthermore, we underscore the challenges posed by the digital divide, where disparities in digital literacy and access may inadvertently exacerbate existing socio-economic and health inequalities. …”
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A Novel Method for Community Detection in Bipartite Networks by Ali Khosrozadeh, Ali Movaghar, Mohammad Mehdi Gilanian Sadeghi, Hamidreza Mahyar

“…Unipartite projections may yield incorrect or erroneous findings as they inevitably include a loss of information. …”
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Innovative Approaches to Sustainable Urban Planning: Analysing Current Trends by Meruyert Baidrakhmanova, Gani Karabayev, Seimur Mamedov

“…Sustainable cities, such as Reston, Virginia, may face enduring challenges despite technological advancements. …”
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Aneurysmatic Dilation of Autovenous Conduit After Coronary Bypass Graft: Clinical Case by S. T. Enginoev, I. V. Popova, I. I. Chernov, E. V. Efremova, V. N. Kolesnikov

“…The article discusses diagnostic and treatment algorithms for identifying aneurysms and pseudoaneurysms.…”
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How does artificial intelligence shape the productivity and quality of research in business studies? A systematic literature review and future research framework by Sugandha Agarwal, Qian Long Kweh, Dima Jamali, Walton Wider, Syed Far Abid Hossain, Muhammad Ashraf Fauzi

“…Methods like machine learning and natural language processing can effectively uncover patterns and trends that conventional research methods may overlook. We also highlight significant challenges that require attention, including data privacy, intellectual property rights, and algorithmic bias. …”
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Status of research on prediction models for severity in confirmed Covid-19 patients by Maicel Eugenio Monzón-Pérez, Lizet Sánchez-Valdés, Elizabeth Rieche-Gómez, Agustín Lage-Dávila

“…Introduction: Previous knowledge in the scientific literature on clinical prediction models in patients with COVID-19 may be useful for the development of new research. …”
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Providing contexts for classification of transients in a wide-area sky survey: An application of noise-induced cluster ensemble by Tossapon Boongoen, Natthakan Iam-On, James Mullaney

“…The results with simulated data and algorithms of NB, C4.5 and KNN have shown that the proposed framework can filter out some negative samples quickly, while making classification of the rest more effective. …”
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Performance Assessment of a GNSS Antenna Array with Digital Beamforming Supported by an FPGA Platform by Gonçalo Dores, Hugo Dinis, Diogo Baptista, Paulo M. Mendes

“…Global Navigation Satellite System (GNSS) is the most common method; however, traditional systems may have high position errors due to the signal’s path between the satellite and the receiver’s antenna. …”
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On the Choice of Training Data for Machine Learning of Geostrophic Mesoscale Turbulence by F. E. Yan, J. Mak, Y. Wang

“…Abstract Data plays a central role in data‐driven methods, but is not often the subject of focus in investigations of machine learning algorithms as applied to Earth System Modeling related problems. …”
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Lightweight Deepfake Detection Based on Multi-Feature Fusion by Siddiqui Muhammad Yasir, Hyun Kim

“…Although this technology has beneficial applications in media and entertainment, misuse of its capabilities may lead to serious risks, including identity theft, cyberbullying, and false information. …”
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Real Time MEMS-Based Joint Friction Identification for Enhanced Dynamic Performance in Robotic Applications by Paolo Righettini, Giovanni Legnani, Filippo Cortinovis, Federico Tabaldi, Jasmine Santinelli

“…An experimental comparison with decentralized and non-adaptive regulators highlights severalfold reductions in tracking errors; the ability to track temperature-dependent friction variations is also shown. From this work, it may be concluded that the use of MEMS sensors, together with identification and adaptive control algorithms, sensibly increases the dynamic performance of robotic systems. …”
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The importance of precise and suitable descriptors in data‐driven approach to boost development of lithium batteries: A perspective by Zehua Wang, Li Wang, Hao Zhang, Hong Xu, Xiangming He

“…Abstract Conventional approaches for developing new materials may no longer be adequate to meet the urgent needs of humanity's energy transition. …”
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ASATM: Automated security assistant of threat models in intelligent transportation systems by Mohammad Ali Ramazanzadeh, Behnam Barzegar, Homayun Motameni

“…The problem is that the ITS vulnerabilities may considerably harm the life quality and safety status of human beings living in smart cities. …”
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Development and validation of a machine learning risk prediction model for asthma attacks in adults in primary care by Holly Tibble, Aziz Sheikh, Athanasios Tsanas

“…Using a data-driven risk prediction tool with routinely collected health records may be an efficient way to aid promotion of effective self-management, and support clinical decision making. …”
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Fairness and Explanations in Entity Resolution: An Overview by Tiago Brasileiro Araujo, Vasilis Efthymiou, Kostas Stefanidis

“…Fairness-aware ER seeks to mitigate bias that may arise from algorithmic decision-making or imbalanced training data, while eXplainable Entity Resolution (XER) aims to enhance transparency and trust in ER. …”
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Machine learning for high-risk hospitalization prediction in outpatient individuals with diabetes at a tertiary hospital by Carolina Deina, Flavio S. Fogliatto, Mateus Augusto dos Reis, Beatriz D. Schaan

“…Multiple machine learning algorithms were tested, and the combination of XGBoost and Instance Hardness Threshold models displayed the best predictive performance. …”
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Influence of wearable biometric sensors on performance indicators of volleyball players by Guoqing Jia

“…Conclusion: This study shows how wearable sensors may be used to automatically detect and identify events connected to volleyball. …”
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Multi-level evidence reveals PANK2 as a potential target of PFOA/PFOS-induced bone metabolism disruption: From network toxicology to in vitro validation by Yiming Shao, Wenhao Fan

“…Additionally, gene set enrichment analysis (GSEA) suggested that PANK2 may participate in bone metabolic regulation via chemokine signaling pathway and the neuro-osteogenic axis. …”
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Advancing cardiovascular care through actionable AI innovation by Giuseppe Biondi-Zoccai, Arjun Mahajan, Dylan Powell, Mariangela Peruzzi, Roberto Carnevale, Giacomo Frati

“…Machine learning (ML) and artificial intelligence (AI), particularly reinforcement learning (RL), may augment current physician-driven approaches and provide enhanced cardiovascular disease prevention and management. …”
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