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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

“…We find that the GAM+SMOTE model outperformed the GAM-only model when predicting ozone values for the root mean square error metric, particularly with regard to the above-threshold ozone values, which may be of particularly useful for extreme ozone event prediction. …”
Get full text

Enhanced engine misfire diagnosis through integration of vibration and acoustic emission signals using artificial neural networks by Mohamed H. Abdelati, M. Mourad, Al-Hussein Matar, M. Rabie

“…After all the features were put into a complete matrix, the selection algorithms chose the most essential ones for classifying the data. …”
Get full text

Robust design of bicycle infrastructure networks by Christoph Steinacker, Mads Paulsen, Malte Schröder, Jeppe Rich

“…Therefore, while planning bicycle infrastructure is important and renders exceptionally high benefit-cost ratios, considerations of robustness and ease of implementation may justify the use of more straightforward network-based methods.…”
Get full text

Clinicopathological study of adrenal pheochromocytoma and extra-adrenal paragangliomas with reference to GAPP and PASS scoring systems by Akash Mondal, Moumita Sengupta, Soumya Dey, Anish Kar, Krishnendu Maiti, Debansu Sarkar, Uttara Chatterjee

“…We also found that addition of objective parameters like SDHB immunohistochemistry may further increase the specificity of the existing scoring system.…”
Get full text

Automatic Scan-to-BIM—The Impact of Semantic Segmentation Accuracy by Jidnyasa Patil, Mohsen Kalantari

“…Given the rapid advancement of deep learning algorithms in recent years, it is crucial to analyze how their accuracy impacts reconstruction quality. …”
Get full text

The Necessity of CT Hip Scans in the Investigation of Occult Hip Fractures and Their Effect on Patient Management by Thomas Gatt, Daniel Cutajar, Lara Borg, Ryan Giordmaina

“…The focus of further research should be towards the development of investigation algorithms which decrease the reliance on CT and defining the optimal surgical criteria for occult hip fractures.…”
Get full text

Comparative Analysis of Machine Learning Models for Predicting Innovation Outcomes: An Applied AI Approach by Marko Martinović, Kristian Dokic, Dalibor Pudić

“…However, individual models may still prove advantageous under certain metric-specific conditions or computational constraints. …”
Get full text

Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China by Zhongli Lin, Hanqiu Xu, Xiong Yao, Zhipeng Zhu

“…However, research that combines RSEI with machine learning algorithms to conduct multi-scenario simulation of EEQ is still relatively scarce. …”
Get full text

Human-machine collaboration: Ordering mechanism of rank-2 spin liquid on breathing pyrochlore lattice by Nicolas Sadoune, Ke Liu, Han Yan, Ludovic D. C. Jaubert, Nic Shannon, Lode Pollet

“…Machine-learning algorithms thrive on large data sets of good quality. …”
Get full text