An application of natural language processing for hypoglycemic event identification in patients with diabetes mellitus by J.E. Camacho-Cogollo, Cristhian Felipe Patiño Zambrano, Christian Lochmuller, Claudia C. Colmenares-Mejia, Nicolas Rozo, Mario A. Isaza-Ruget, Paul Rodriguez, Andrés García

“…We show that the NLP approach can effectively identify and automate the text-based detection process of potential hypoglycemic events, and can subsequently be used to make informed decisions about potential patient risks.…”
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A Comparison of Approaches for Handling Concept Drifts in Data Processed With Machine Learning by Emanuel Valerio Pereira, Wendley Souza da Silva

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25-year neuroimaging research on spoken language processing: a bibliometric analysis by Yuxuan Zheng, Yuxuan Zheng, Boning Zhang

“…IntroductionSpoken language processing is of huge interest to cognitive and neural scientists, as it is the dominant channel for everyday verbal communication. …”
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A New Signal Processing Method for Time-of-Flight and Center Frequency Estimation by Olgirdas Tumšys

“…Ultrasonic signal processing methodologies use many signal parameters to be investigated, one of which is time-of-flight (ToF). …”
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Microbiological Quality Assessment of Frozen Fish and Fish Processing Materials from Bangladesh by Sohana Al Sanjee, Md. Ekramul Karim

“…The present study aims at the microbiological analysis of export oriented frozen fishes, namely, Jew fish, Tongue Sole fish, Cuttle fish, Ribbon fish, Queen fish, and fish processing water and ice from a view of public health safety and international trade. …”
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Parallelizing analog in-sensor visual processing with arrays of gate-tunable silicon photodetectors by Zheshun Xiong, Wen Liang, Meiyue Zhang, Dacheng Mao, Qiangfei Xia, Guangyu Xu

“…Here we present two scalable in-sensor visual processing arrays based on dual-gate silicon photodiodes, enabling parallelized event sensing and edge detection, respectively. …”
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Fluorimetric determination of quinine using a portable system and digital image processing by Cheilane T. de Souza, Kaewta Danchana, Sergio L. C. Ferreira, Victor Cerdà

“…The proposed method presented detection and quantification limits of 0.99 and 1.46 mg·L−1, at a 95% confidence interval.…”
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Autonomous defect estimation in aluminum plate and prognosis through stochastic process modeling by Mrudul Jambulkar, Shivam Ojha, Amit Shelke, Anowarul Habib

“…To overcome these challenges, this study proposes an unsupervised learning framework that combines k-means clustering with a multi-phase gamma process to detect and model damage in aluminum plates. …”
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Damaging Intermolecular Relaxation Processes Initiated by Heavy-Ion Irradiation of Hydrated Biomolecules by Yue Gao, Anna D. Skitnevskaya, Enliang Wang, Hang Yuan, Xueguang Ren, Hong Lin, Zhenyu Yan, Shaofeng Zhang, Shaofei Gu, Bo Yang, Feng Fang, Shuncheng Yan, Dalong Guo, Xiaolong Zhu, Dongmei Zhao, Caojie Shao, Zhongkui Huang, Xiaorui Xue, Xintai Hao, Jiaqi Zhou, Tongmin Zhang, Jinyu Li, Xinliang Yan, Meng Wang, Lijun Mao, Dayu Yin, Meitang Tang, Youjin Yuan, Jiancheng Yang, Alexander B. Trofimov, Lorenz S. Cederbaum, Alexander I. Kuleff, Xinwen Ma, Shenyue Xu

“…The process can significantly contribute to the high biological effectiveness of heavy-ion irradiation and thus might play an essential role in many radiotherapy techniques. …”
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Single-chip silicon photonic engine for analog optical and microwave signals processing by Hong Deng, Jing Zhang, Emadreza Soltanian, Xiangfeng Chen, Chao Pang, Nicolas Vaissiere, Delphine Neel, Joan Ramirez, Jean Decobert, Nishant Singh, Guy Torfs, Gunther Roelkens, Wim Bogaerts

“…Our photonic chip, fabricated in IMEC’s iSiPP50G silicon photonics process, is capable of both generation and detection of analog electrical and optical signals, and can program user-defined filter responses in both domains. …”
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Intelligent Machine Vision Based Modeling and Positioning System in Sand Casting Process by Shahid Ikramullah Butt, Umer Asgher, Umar Mushtaq, Riaz Ahmed, Faping Zhang, Yasar Ayaz, Mohsin Jamil, Muhammad Kamal Amjad

“…The purpose of this research paper is to introduce a new scheme of automation in the sand casting process by means of machine vision based technology for mold positioning. …”
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Real-time, neural signal processing for high-density brain-implantable devices by Amir M. Sodagar, Yousef Khazaei, Mahdi Nekoui, MohammadAli Shaeri

“…What distinguishes this class of signal processing from signal processing in general is the critical importance of hardware efficiency in the implementation of such techniques in terms of power consumption, circuit size, and real-time operation. …”
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Advances in Data Pre-Processing Methods for Distributed Fiber Optic Strain Sensing by Bertram Richter, Lisa Ulbrich, Max Herbers, Steffen Marx

“…Hence, cleaning the raw measurement data in a pre-processing stage is key for successful subsequent data evaluation and damage detection on engineering structures. …”
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The Effect of Non-Thermal Processing on the Fate of Pathogenic Bacteria and Hidden Hazardous Risks by Yanan Wu, Xinxin Li, Xinyu Ma, Qing Ren, Zhanbin Sun, Hanxu Pan

“…Non-thermal processing encompasses a range of emerging food technologies, including high-pressure processing (HPP), pulsed electric field (PEF), cold atmospheric plasma (CAP), high-pressure carbon dioxide (HPCD), and ultrasound (US). …”
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Optimization of extraction process of honeysuckle, chrysanthemum and dandelion and preparation of compound rice wine by XIA Boyu, MAO Zhihai, LUO Yuhao, SUN Bolin, FANG Shangling, CHEN Maobin

“…The compound rice wine was prepared with glutinous rice as the main raw material and extracts of honeysuckle, chrysanthemum and dandelion as auxiliary materials. The extraction process conditions of honeysuckle, chrysanthemum and dandelion were optimized by single factor tests and response surface tests, and the sensory quality, physicochemical indexes and flavor characteristics of honeysuckle, chrysanthemum and dandelion compound rice wine were analyzed by conventional detection methods and headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS). …”
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Image Processing Using Feature-Based Segmentation Techniques for the Analysis of Medical Images by Christodoss Prasanna Ranjith, Krishnamoorthy Natarajan, Sindhu Madhuri, Mahesh Thylore Ramakrishna, Chandrasekhar Rohith Bhat, Vinoth Kumar Venkatesan

“…The proposed model works as follows. Firstly, pre-processing is performed by acquiring all the input images. …”
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Complex Dynamics and Intelligent Control: Advances, Challenges, and Applications in Mining and Industrial Processes by Luis Rojas, Víctor Yepes, José Garcia

“…Complex dynamics and nonlinear systems play a critical role in industrial processes, where complex interactions, high uncertainty, and external disturbances can significantly impact efficiency, stability, and safety. …”
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Energy-efficient and fast memristor-based serial multipliers applicable in image processing by Seyed Erfan Fatemieh, Bahareh Bagheralmoosavi, Mohammad Reza Reshadinezhad

“…Memristive CIM reduces energy consumption and processing time of data-intensive applications. Multipliers are one of the arithmetic circuits that play a significant role in data-intensive processing applications. …”
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Method for reconstructing safety and arming motion process by integrating Kalman filter and KCF by Yinhuan Zhang, Qinkun Xiao, Xing Liu, Yongquan Wei, Jingyun Xue

“…Abstract This paper addresses the challenge of reconstructing the motion process of the safety and arming (S&A) mechanism in fuze by transforming the problem into a target detection and tracking problem. …”
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A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes by Cosmina-Mihaela Rosca, Adrian Stancu

“…Thus, this paper identifies gaps in the current research, discusses ML algorithms in the context of optimizing wind energy production processes, and identifies future directions for increasing the efficiency of wind turbines through integrated predictive methods.…”
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