Real-world pharmacovigilance reports of hepatitis A inactivated and hepatitis B (recombinant) vaccine: insights from disproportionality analysis of the vaccine adverse event report... by Yuhang Zhou, Yuhang Zhou, Yue Wang, Yue Wang, Yun Feng, Yun Feng, Huiyue Zhang, Huiyue Zhang, Tao Sun, Tao Sun, Junnan Xu, Junnan Xu, Junnan Xu

“…The ROR and PRR algorithms have higher sensitivity but lower specificity. …”
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Machine Learning‐Assisted Pd‐Au/MXene Sensor Array for Smart Gas Identification by Yiheng Chen, Jiawang Hu, Nanlin Hu, Shikai Wu, Yuan Lu

“…In addition, the sensor array successfully distinguishes 14 odor molecules common in life by pattern recognition algorithms. Eventually, with the assistance of ML, the IISP exhibits 89.2% accuracy in detecting different food odors. …”
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Deformation Monitoring Exploration of Different Elevations in Western Sichuan, China by Zezhong Zheng, Yizuo Li, Yong He, Chuhang Xie, Mingcang Zhu, Tianming Shao, Weifeng Huang, Jinchi Hu, Baiyan Su, Huahui Tang

“…Finally, the potential geological hazards detected by different InSAR monitoring algorithms are interpreted, and the characteristics of different InSAR monitoring algorithms in different elevation intervals are compared and analyzed. …”
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Towards a Framework for Acquisition and Analysis of Speeches to Identify Suspicious Contents through Machine Learning by Md. Rashadur Rahman, Mohammad Shamsul Arefin, Md. Billal Hossain, Mohammad Ashfak Habib, A. S. M. Kayes

“…The experimental results show that our proposed deep learning-based model provides the highest accuracy compared to other algorithms.…”
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Length–Weight Distribution of Non-Zero Elements in Randomized Bit Sequences by Christoph Lange, Andreas Ahrens, Yadu Krishnan Krishnakumar, Olaf Grote

“…The results show that key-encapsulation and key-exchange algorithms, such as CRYSTALS-Kyber, achieve a lower level of randomness compared to digital signature algorithms, such as CRYSTALS-Dilithium.…”
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Distributed Acoustic Sensing of Sounds in Audible Spectrum in Realistic Optical Cable Infrastructure by Petr Dejdar, Ondrej Mokry, Petr Munster, Tomas Horvath, Jiri Schimmel

“…The dataset offers the possibility to develop and test algorithms aimed at enhancing signal-to-noise ratio (SNR), detecting anomalies, and improving speech intelligibility. …”
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Remote monitoring system for humidity, temperature and sprout status in an automatic germinator by Marco Aurelio Nuño-Maganda, Yahir Hernandez-Mier, Angel David Mendoza-Valdez, Lessly Gabriela Galván-Villanueva, Said Polanco-Martagón

“…The present work describes the design of electronic circuits for an irrigation system of an automatic germinator and the monitoring of the sprouts using a camera and artificial vision algorithms. This project aims to automate the seed development process to provide the right conditions for proper growth and later transplanting when it reaches the seedling stage, as well as to detect growth problems in the early stage. …”
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Machine Learning-Driven D-Glucose Prediction Using a Novel Biosensor for Non-Invasive Diabetes Management by Pardis Sadeghi, Shahriar Noroozizadeh, Rania Alshawabkeh, Nian Xiang Sun

“…The current study integrates machine learning with a molecularly imprinted polymer biosensor for detecting D-glucose in the exhaled breath condensate or aerosol. …”
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An Efficient and Fast Model Reduced Kernel KNN for Human Activity Recognition by Zongying Liu, Shaoxi Li, Jiangling Hao, Jingfeng Hu, Mingyang Pan

“…Many classic machine learning algorithms, such as artificial neural network, feed forward neural network, K-nearest neighbors, and support vector machine, achieve good performance for detecting human activity. …”
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Registered report protocol: A scoping review to identify potential predictors as features for developing automated estimation of the probability of being frail in secondary care. by Dirk H van Dalen, Angèle P M Kerckhoffs, Esther de Vries

“…Many validated instruments to detect frailty have been developed. Using these in clinical practice takes time. …”
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AI and Machine Learning in V2G technology: A review of bi-directional converters, charging systems, and control strategies for smart grid integration by Nagarajan Munusamy, Indragandhi Vairavasundaram

“…AI-powered predictive analytics can forecast energy demand and supply, enabling proactive charging and discharging strategies. ML algorithms can optimize charging rates, battery health, and grid stability while also detecting anomalies and preventing potential faults. …”
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Investigation of the Pathogenesis of Liver Fibrosis Associated with Type 2 Diabetes Mellitus via Bioinformatic Analysis by Zhiyu Xiong, Kan Shu, Yingan Jiang

“…Transcription factor analysis detected 29 regulators of these hub genes. Drug prediction analysis suggested that retinoic acid may serve as a potential therapeutic agent. …”
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Implementation of SLAM-Based Online Mapping and Autonomous Trajectory Execution in Software and Hardware on the Research Platform Nimbulus-e by Thomas Schmitz, Marcel Mayer, Theo Nonnenmacher, Matthias Schmitz

“…The A* and Hybrid A* algorithms are used for trajectory planning and optimization, ensuring smooth vehicle movement. …”
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Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral by Pablo Ariel Escudero, Concepción López González, Jorge Luis García Valldecabres

“…These algorithms play a crucial role in identifying and classifying points based on their geometry and chromatic characteristics. …”
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Diel and Annual Patterns of Vocal Activity of Three Neotropical Wetland Birds Revealed via BirdNET by Cristian Pérez-Granados, Karl-L. Schuchmann

“…The use of machine learning algorithms such as BirdNET may improve bird monitoring in tropical areas but also facilitate research that improves our knowledge of birds’ natural history, which remains unknown for many tropical species.…”
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Enhancing IoT Security in 5G Networks by Reem Alzhrani, Mohammed Alliheedi

“…These methods were used to detect DDoS attacks in a dataset specifically designed for IoT devices within 5G networks. …”
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Improving Barcode Vision Scanning Process using a Drone-based Tracking PID Controller for Warehouse in Industry 4.0 by Samer Al-hamadani, Izzat Al-Darraji, Houssem Jerbi

“…The PID controller is responsible for continuously monitoring the camera’s input, detecting the difference between the planned and the real barcode image dimensions, and making immediate changes to the drone position to improve the process of detecting the potential barcode. …”
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Enhanced Fishing Monitoring in the Central-Eastern North Pacific Using Deep Learning with Nightly Remote Sensing by Jiajun Li, Jinyou Li, Kui Zhang, Xi Li, Zuozhi Chen

“…In this study, enhanced fishing extraction algorithms based on computer vision were developed and tested. …”
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Unveiling the Optical Coherence Tomography Angiography Artifacts by Priyanka Gupta, Daraius Shroff, Charu Gupta

“…Artifacts can arise from optical coherence tomography (OCT) image acquisition, intrinsic characteristics of the eye, eye motion, image processing, and display techniques. There are several algorithms available that have the potential to visualize flow, but all have image artifacts. …”
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Research on Architecture of LEO Satellite Internet of Things and Key Technologies by Xiaojin DING, Tao HONG, Rui LIU, Wentao PENG, Gengxin ZHANG

“…First, we analyzed the composition and demand characteristics of LEO satellite IoTs, and designed an architecture of LEO satellite IoTs.Second, to extracted characteristics of electromagnetic environment and channel, we studied electromagnetic environment and channel sensing methods through constructing neural network model.Then, we investigated an active terminal-identifi cation method for detecting active terminals.Finally, considered multiple-input multiple-output as the main approach to improved the capacity of terrestrial mobile communication systems, we explored a pair of algorithms of mining satellite spatial resources for realizing the collision mitigation and capacity improvement of LEO IoT terminals.Simulation results showed that the designed method sofmining spatial-domain resources could mitigated eff ectively signal collisions among IoT terminals, and improved signifi cantly the concurrent accessing number of LEO satellite IoT terminals.…”
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