Real-Time Precision Navigation Design for Autonomous Vehicle with EGI System by C.-C. Hsu, Y.-E. Huang, K.-W. Chiang, M.-L. Tsai, C.-H. Chu

“…This research presents an innovative system framework, and a multi-sensor integration algorithm aimed at improving the navigation accuracy of autonomous vehicle (AV). …”
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Assessing the Guidelines on the Use of Generative Artificial Intelligence Tools in Universities: A Survey of the World’s Top 50 Universities by Midrar Ullah, Salman Bin Naeem, Maged N. Kamel Boulos

“…However, our study found that only a small number of the retrieved guidelines offered instructions on the AI algorithm (understanding how it works), the documentation of prompts and outputs, AI detection tools, and mechanisms for reporting misconduct. …”
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The immunomorphological features of cervical intraepithelial neoplasia associated with HPV infection depending on the type of infertility by Е. О. Kindrativ

“…It was established that for infertility the cervical intraepithelial neoplasia (CIN) associated with HPV infection (PVI) is characterized by different individual potential for the development of cervical carcinoma. For early detection, verification of the severity degree and prognosis of CIN, especially during the tubular, hormonal and combined forms of infertility it is advisable to include the immunomorphological study of tissue of the cervix using monoclonal antibodies (Ki-67, r63, pl6ink4a, ER, PR, VEGF) in the algorithm of complex inspection.…”
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Study of the Possibility to Combine Deep Learning Neural Networks for Recognition of Unmanned Aerial Vehicles in Optoelectronic Surveillance Channels by Vladislav Semenyuk, Ildar Kurmashev, Dmitriy Alyoshin, Liliya Kurmasheva, Vasiliy Serbin, Alessandro Cantelli-Forti

“…Based on the obtained results, an algorithm for combining two neural networks is proposed, which allows for increasing the accuracy of UAV and bird classification without significant losses in speed.…”
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Grading evaluation method for inter-turn short circuit of permanent magnet traction motor based on deep Gaussian processes by DAI Jisheng, HU Dean, XU Hailong, ZHU Wenlong, LIAO Qishu

“…Then, a doubly stochastic deep Gaussian processes (DSDGP) method was adopted to fuse and train the extracted features, achieving online grading evaluation of inter-turn short circuit degradation in permanent magnet traction motors. Finally, the algorithm was validated through permanent magnet motor inter-turn short circuit tests and field cases. …”
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Real-time monitoring to predict depressive symptoms: study protocol by Yu-Rim Lee, Jong-Sun Lee

“…Advances in these areas of research may have implications for the detection and prevention of early warning signs of depression through the use of digital markers.…”
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Deep Learning for Spectroscopic X‐ray Nano‐Imaging Denoising by Tianyu Fu, Kai Zhang, Qingxi Yuan, Jizhou Li, Piero Pianetta, Yijin Liu

“…To address this issue, a deep learning‐based algorithm is developed for suppressing the image noise, grounded in self‐supervised learning principles. …”
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Method of troubleshooting in the neural network environment of intellectual decision supporting systems by О.І. Тимочко, С.В. Осієвський, О.О. Тімочко, П.В. Бєляєв

“…It is shown that to detect these types of errors it is advisable to use a modified GLARE algorithm with the adaptation procedure. …”
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Batch Cooling Crystallization of a Model System Using Direct Nucleation Control and High-Performance In Situ Microscopy by Josip Budimir Sacher, Nenad Bolf, Marko Sejdić

“…Compared to other techniques, HPM enables the detection of small crystals in the range of 1 to 10 μm. …”
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Artificial Intelligence of Things Infrastructure for Quality Control in Cast Manufacturing Environments Shedding Light on Industry Changes by Cosmina-Mihaela Rosca, Gabriel Rădulescu, Adrian Stancu

“…The Nonconformity Indicator Algorithm (NIA) was designed for defect detection. …”
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Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma. by José Fernando García Molina, Lei Zheng, Metin Sertdemir, Dietmar J Dinter, Stefan Schönberg, Matthias Rädle

“…Robust detection of prostatic cancer is a challenge due to the multitude of variants and their representation in MR images. …”
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High Pollution Loadings Influence the Reliability of Himawari-8 Cloud-Mask in Comparison with Space-Based Lidar and Surface Observations by Wei Wang, Pengfei Tong, Huihui Feng, Weiwei Xu

“…Further improvement of AHI cloud-mask algorithm is desired because AHI products with high temporal resolution are vital in several related fields, such as climate change, aerosol-cloud interaction, and air-polluted mapping.…”
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Analisis Visual dan Machine Learning untuk Mengukur Validitas Dokumen Akademik Perpustakaan: Studi pada Data Turnitin by Hesti Ari Wardani, Imam Yuadi

“…Additionally, a logistic regression algorithm is applied to classify documents based on Turnitin scores. …”
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Gesture Decoding Using ECoG Signals from Human Sensorimotor Cortex: A Pilot Study by Yue Li, Shaomin Zhang, Yile Jin, Bangyu Cai, Marco Controzzi, Junming Zhu, Jianmin Zhang, Xiaoxiang Zheng

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Coastal Shipping Radar Monitoring System with Satellites as Transmitters of Opportunity by Van Quan Nguyen

“…Signal processing was performed using a program developed in the MATLAB environment.Results. An algorithm for processing satellite signals of the GPS global navigation system in a passive radar system is proposed. …”
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Using an Explainable Machine Learning Approach to Produce High‐Resolution Hourly Precipitation Estimates for a Typical Data‐Deficiency Basin by Yi Lyu, Bin Yong

“…In this study, we combined the machine learning technique and an improved side‐scaling algorithm to produce a high‐resolution (1/30°) hourly precipitation data set for a typical lack‐data basin. …”
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Fast Long-Range Photon Counting Depth Imaging With Sparse Single-Photon Data by Yan Kang, Lifei Li, Dawei Liu, Dongjian Li, Tongyi Zhang, Wei Zhao

“…This depth imaging system is a low-light-level device for a variety of applications, such as target detection, space surveillance, and distance measurement.…”
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Leveraging a time-series event separation method to disentangle time-varying hydrologic controls on streamflow – application to wildfire-affected catchments by H. A. Canham, B. Lane, C. B. Phillips, B. P. Murphy

“…To accomplish this, we developed the Rainfall–Runoff Event Detection and Identification (RREDI) toolkit, an automated time-series event separation and attribution algorithm that overcomes several limitations of existing techniques. …”
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Optimization of the Raman spectroscopic method for crystal orientation and residual stress of aluminum oxide by Miaoxia Xie, Chengyu Xiang, Xueliang Zeng, Xuesu Zhang, Linjie Zhang, Jiangtao Xiong

“…The measurement accuracies of crystal orientations when using different correction methods of light intensity were compared, and on that basis, a measurement system and a measurement method for the crystal orientation of 95% aluminum oxide (Al2O3) were established, which improved the accuracy and handleability of crystal orientation detection. Then, the number of Raman peak shifts needed for solving equations was reduced to three by studying the simplification method of stress fields, exploring the Raman selection method, and introducing the differential evolution algorithm. …”
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Light scattering-based screening method for rapid evaluating antibiotic effects on bacteria using laser speckle imaging by Donghyeok Kim, Seongjoon Moon, Jongseo Lee, Kyoungman Cho, Changhan Lee, Jonghee Yoon

“…The image processing algorithm analyzes correlation contrast in time-series laser speckle images, enabling more precise bacterial activity detection compared to conventional LSI techniques. …”
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