Prediabetes detection in unconstrained conditions using wearable sensors by Dimitra Tatli, Vasileios Papapanagiotou, Aris Liakos, Apostolos Tsapas, Anastasios Delopoulos

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Land Terminal in Logistic Transport Chain and COVID-19 Pandemic in Poland by Kuśmińska-Fijałkowska Aldona, Łukasik Zbigniew, Kozyra Jacek, Olszańska-Wesoły Sylwia, Krasiuk Daniel

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Single-Shot Optical Multiple-Image Encryption Based on Polarization-Resolved Diffractive Imaging by Xiaoliang He, Hua Tao, Lijuan Zhang, Xiaodong Yuan, Cheng Liu, Jianqiang Zhu

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CAS-SFCM: Content-Aware Image Smoothing Based on Fuzzy Clustering with Spatial Information by Felipe Antunes-Santos, Carlos Lopez-Molina, Maite Mendioroz, Bernard De Baets

“…While the former strategy was ubiquitous in the early years of image processing, the last 20 years have seen an ever-increasing use of the latter, fueled by a combination of greater computational capability and more refined mathematical models. …”
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Properties of the SURE Estimates When Using Continuous Thresholding Functions for Wavelet Shrinkage by Alexey Kudryavtsev, Oleg Shestakov

“…The advantages of these methods lie in their computational efficiency and the ability to adapt to the local features of the estimated function. …”
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Blockchain technology use case in supply chains in transport hubs by Li Binzhang

“…The use of digital information and communication technology (ICT) applications in the transport industry can lead to highly automated processes and more cost-effective solutions. Freight transport requires the use of real-time data exchange between different stakeholders involved in the process. …”
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Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer by Sandeep Dwarkanth Pande, Pala Kalyani, S Nagendram, Ala Saleh Alluhaidan, G Harish Babu, Sk Hasane Ahammad, Vivek Kumar Pandey, G Sridevi, Abhinav Kumar, Ebenezer Bonyah

“…However, certain difficulties arise during the detection process in CT images due to overlapping structures, such as bile ducts, blood vessels, image noise, textural changes, size and location variations, and inherent heterogeneity. …”
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Rice Appearance Quality Detection Technology Based on Muti-demensional Features by XING Jian, LUO Jia-shun

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Optimization of Cdx Transcription Factors Characteristics by Javanbakht T.

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Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection by Md Shofiqul Islam, Khondokar Fida Hasan, Hasibul Hossain Shajeeb, Humayan Kabir Rana, Md. Saifur Rahman, Md. Munirul Hasan, AKM Azad, Ibrahim Abdullah, Mohammad Ali Moni

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Introduction. Pratiques de modélisation du patrimoine : constats et perspectives by Sylvain Laubé, Muriel Guedj

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SELECTION OF LINEAR AND ELLIPTICAL OBJECTS IN THE IMAGE BASED ON THE CALCULATION OF THE CORRELATION COEFFICIENT by V. V. Bulatov

“…Many classifiers have a large computational complexity and do not meet the increasing requirements for recognition accuracy and speed, so the challenge is to develop new high-performance methods and algorithms.…”
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Management of bilateral Eagle's syndrome with pharmacotherapy: a case report by Garg Ranjana, Veerabhadrappa Suresh Kandagal, Gupta Vivek Vijay, Yadav Seema

“…Diagnosis typically relies on a physical examination of the styloid process in the tonsillar fossa, which exacerbates pain during neck movements. …”
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Optimized Time-domain Feature Extraction for Early Onset Diagnosis of Parkinson Disease From EEG Signals by Delshad Ghavami, Moein Radman, Ali Chaibakhsh

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Research on Intelligent Identification Method for Pantograph Positioning and Skateboard Structural Anomalies Based on Improved YOLO v8 Algorithm by Ruihong Zhou, Baokang Xiang, Long Wu, Yanli Hu, Litong Dou, Kaifeng Huang

“…In order to obtain real-time information on the abnormal state of the skateboard in advance, an intelligent defect identification model suitable to be used as a monitoring device for the pantograph skateboard was designed using a computer vision-based intelligent detection technology for pantograph skateboard defects, combined with an improved YOLO v8 model and traditional image processing algorithms such as edge extraction. …”
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Editorial: Women in cognitive neuroscience: 2023 by Valentina Bruno, Rania A. Mekary, Rania A. Mekary

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DSNet enables feature fusion and detail restoration for accurate object detection in foggy conditions by Zhiyong Jing, Zhaobing Chen, Yucheng Shi, Lei Shi, Lin Wei, Yufei Gao

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GHz Optical Time-Stretch Microscopy by Compressive Sensing by Cheng Lei, Yi Wu, Aswin C. Sankaranarayanan, Shih-Min Chang, Baoshan Guo, Naoto Sasaki, Hirofumi Kobayashi, Chia-Wei Sun, Yasuyuki Ozeki, Keisuke Goda

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Architecture of perception and optimization of the architecture of exhibition stands (present and future) by Azad Behmanesh, mehdi khakzand, Hadiseh Kamran Kasmaei

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Parameterization of the Differences in Neural Oscillations Recorded by Wearable Magnetoencephalography for Chinese Semantic Cognition by Xiaoyu Liang, Huanqi Wu, Yuyu Ma, Changzeng Liu, Xiaolin Ning

“…Precise parameterization of the differences in these oscillations across various semantics from a time–frequency perspective is pivotal for elucidating the mechanisms of brain language processing. The superlet transform and cluster depth test were used to compute the time–frequency representation of oscillatory difference (ODTFR) between neural activities recorded by optically pumped magnetometer-based magnetoencephalography (OPM-MEG) during processing congruent and incongruent Chinese semantics. …”
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