FlowMRI-Net: A generalizable self-supervised 4D flow MRI reconstruction network by Luuk Jacobs, Marco Piccirelli, Valery Vishnevskiy, Sebastian Kozerke

“…ABSTRACT: Background: Image reconstruction from highly undersampled four-dimensional (4D) flow magnetic resonance imaging (MRI) data can be very time-consuming and may result in significant underestimation of velocities depending on regularization, thereby limiting the applicability of the method. …”
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Component Prediction of Antai Pills Based on One-Dimensional Convolutional Neural Network and Near-Infrared Spectroscopy by Tuo Guo, Fengjie Xu, Jinfang Ma, Fahuan Ge

“…Convolutional neural networks (CNNs) are widely used for image recognition and text analysis and have been suggested for application on one-dimensional data as a way to reduce the need for preprocessing steps. …”
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Real-time monitoring of water quality dynamics using low-cost sensor networks in Lagos lagoon by Idowu Ayisat Aneyo, Mumin Olatunji Oladipo, Funmilayo Victoria Doherty, Julius Osato Ehigie, Adebayo Fasasi Adebari, Abdulwakeel Oluwatobi Atoyebi, Peter Ozomata Balogun, Ambrose Obinna Ikpele

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Visual Geolocalization for Aerial Vehicles via Fusion of Satellite Remote Sensing Imagery and Its Relative Depth Information by Maoan Zhou, Dongfang Yang, Jieyu Liu, Weibo Xu, Xiong Qiu, Yongfei Li

“…Then, a depth estimation network is used to estimate the relative depth of the satellite remote sensing image, thereby obtaining the relative depth information of the ground area within the field of view of the aerial image. …”
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Improving Cultural Heritage conservation: LSTM neural networks to effectively processing end-user’s maintenance requests by Marco D'Orazio, Gabriele Bernardini, Elisa Di Giuseppe

“…Recently, Machine Learning methods were proposed to support preventive conservation and maintenance plans, based on their ability to predict the future state of the built heritage by collected data. Several data sources were used, such as structural data and images depicting the evolution of the deterioration state, but till now textual information, exchanged by people living or working in historical buildings to require maintenance interventions, was not used to support conservation programmes. …”
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Gray and white matter alterations in Obsessive-Compulsive Personality Disorder: a data fusion machine learning approach by Lorenzo Arena, Wenceslao Peñate, Wenceslao Peñate, Francisco Rivero, Rosario J. Marrero, Rosario J. Marrero, Teresa Olivares, Alessandro Scarano, Ascensión Fumero, Ascensión Fumero, Alessandro Grecucci

“…One intriguing hypothesis is that regions ascribed to the Default Mode Network are involved in OCPD, similar to what has been shown for OCD and other anxiety disorders.MethodsTo test this hypothesis, the gray and white matter images of 30 individuals diagnosed with OCPD (73% female, mean age=29.300), and 34 non-OCPD controls (82% female, mean age = 25.599) were analyzed for the first time with a data fusion unsupervised machine learning method known as Parallel Independent Component Analysis (pICA) to detect the joint contribution of these modalities to the OCPD diagnosis.ResultsResults indicated that two gray matter networks (GM-05 and GM-23) and one white matter network (WM-25) differed between the OCPD and the control group. …”
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A Robust U-Net-Based Approach for Accurate Brain Tumor Segmentation Using Multimodal MRI Data by Mohammad Talal Ghazal

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Convolutional neural network (CNN) based month’s name recognition in Gurumukhi script for Punjab state of India by Tajinder Pal Singh, Sheifali Gupta, Jamil Hussain, Sapna Juneja, Meenu Garg, Deepali Gupta, Majed Alsafyani

“…In the context of natural language recognition, the development of an automated system for data analysis and interpretation has tremendous demand. …”
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Cultural Heritage Color Regeneration: Interactive Genetic Algorithm Optimization Based on Color Network and Harmony Models by Zhonghua Jiang, Qianlong Xia, Zhizhou Wang, Kaiwei Zhu, Qianyu Su, Jiajun Wang, Yirui Huang, Bo Wu, Yan Hong

“…A prototype system for color regeneration is built in Python, and a user interface is designed. The example analysis is conducted using the Yungang Grottoes as the source of color imagery, and image colorization is tested. …”
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Inferring Mechanical Properties of Wire Rods via Transfer Learning Using Pre-Trained Neural Networks by Adriany A. F. Eduardo, Gustavo A. S. Martinez, Ted W. Grant, Lucas B. S. Da Silva, Wei-Liang Qian

“…The primary objective of this study is to explore how machine learning techniques can be incorporated into the analysis of material deformation. Neural network algorithms are applied to the study of mechanical properties of wire rods subjected to cold plastic deformations. …”
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A Study of Mixed Non-Motorized Traffic Flow Characteristics and Capacity Based on Multi-Source Video Data by Guobin Gu, Xin Sun, Benxiao Lou, Xiang Wang, Bingheng Yang, Jianqiu Chen, Dan Zhou, Shiqian Huang, Qingwei Hu, Chun Bao

“…Initially, UAVs and video cameras are used to capture videos of mixed non-motorized traffic flow. The video data were processed with an image detection algorithm based on the YOLO convolutional neural network and a video tracking algorithm using the DeepSORT multi-target tracking model, extracting data on traffic flow, density, speed, and rider characteristics. …”
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Reflectance spectrometry and multispectral data for mapping fractures and hydrothermal alterations in the northern edge of the eastern High Atlas, Morocco by Asma Zouggarh, Mourad Essalhi, Adnane Tobi, Omar Saidi, Daoud El Azmi, Mohammed Boumehdi, Saloua Mnissar Himyari

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Unlocking barriers and strategies of halal certification for micro and small enterprises in Indonesia: Analytic network process approach by Muhammad Anwar Fathoni, Prima Dwi Priyatno, Faizi, Fadhli Suko Wiryanto, Widarto Rachbini, Suryani

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Potential erosion and sedimentation based on land use change by using cellular automata-artificial neural network by Aditya Nugraha Putra, Istika Nita, Kurniawan Sigit Wicaksono, Novandi Rizky Prasetya, Michelle Talisia Sugiarto, Fahmi Hidayat, Zainal Alim, Sugik Edy Sartono, Pandham Giri Sasangka, Tiar Ranu Kusuma, Bilawal Abbasi, Alena Gessert, Mohd Hasmadi Ismail, Watit Khokthong

“…The baseline land use data served as the foundation for future predictions, with a business-as-usual scenario modelled using cellular automata and artificial neural networks (CA-ANN). …”
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Breast tumor segmentation in ultrasound using distance-adapted fuzzy connectedness, convolutional neural network, and active contour by Marta Biesok, Jan Juszczyk, Pawel Badura

“…We find the idea of incorporating fuzzy connectedness into the input data preparation for deep-learning image analysis our main contribution to the study. …”
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Estimation of Summer Air Temperature over China Using Himawari-8 AHI and Numerical Weather Prediction Data by Hailei Liu, Qi Zhou, Shenglan Zhang, Xiaobo Deng

“…This study proposed an instantaneous summer air temperature (Tair) estimation model using the Himawari-8 Advanced Himawari Imager (AHI) brightness temperatures (BTs) in split-window channels and other auxiliary data. …”
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Extensive Dynamic Functional Network Connectivity Alterations in Diabetic Retinopathy Among Patients with Type 2 Diabetes by Liu H, Gu ZX, Li XT, Huang X

“…Initial application of Independent Component Analysis (ICA) methods was used to extract the resting state network (RSN) from resting state functional magnetic resonance imaging (fMRI) data. …”
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Developmental maturation of dynamic causal control signals in higher-order cognition: a neurocognitive network model. by Kaustubh Supekar, Vinod Menon

“…Here we use a novel multimodal neurocognitive network-based approach combining task-related fMRI, resting-state fMRI and diffusion tensor imaging (DTI) to investigate the maturation of control processes underlying problem solving skills in 7-9 year-old children. …”
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Optimization of diagnostics of retinopathy of prematurity stages based on the integration of clinical data using the Key to Diagnosis I software by O. A. Pererva, M. A. Kovalevskaya

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Robust multi-task feature selection with counterfactual explanation for schizophrenia identification using functional brain networks by Xinyan Yuan, Shaolong Wei, Ying Sun, Lingling Gu, Yanyan He, Tiantian Chen, Hongcheng Yao, Haonan Rao

“…IntroductionFunctional brain networks measured by resting-state functional magnetic resonance imaging (rs-fMRI) have become a promising tool for understanding the neural mechanisms underlying schizophrenia (SZ). …”
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