Cardiac computed tomography: Current practice, guidelines, applications, and prospects by Yu-Tai Shih, Jia-Hao Zhou, Jong-Kai Hsiao

“…Prospective studies and ongoing trials such as FASTTRACK coronary artery bypass grafting also underscore the potential of advanced CT technologies in refining procedural planning and execution. The continuous advancements in detector technology, computational techniques, and image reconstruction are poised to expand the applications and efficacy of CCT, cementing its role in modern cardiology.…”
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Evaluation of production line expansion efficiency using computer simulation by Poloczek Roksana, Oleksiak Beata

“…The challenges associated with implementing computer simulation, such as the need for specialized knowledge and the necessity for continuous updates of simulation models, are also discussed. …”
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Computer networks anomaly detection by using PCA & pattern recognition by Elham Bideh, Javad Vahidi

“…However, attempts made to enhance the speed and accuracy of these anomalies’ detection process are continuously ongoing. In this research, pattern recognition based on artificial neural networks is applied to automatically detect anomalies in computer networks. …”
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Brain systems for probabilistic and dynamic prediction: computational specificity and integration. by Jill X O'Reilly, Saad Jbabdi, Matthew F S Rushworth, Timothy E J Behrens

“…We contrasted the neural systems associated with two computationally distinct forms of predictive model: a reinforcement-learning model of the environment obtained through experience with discrete events, and continuous dynamic forward modeling. …”
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Mind the semantic gap: semantic efficiency in human computer interfaces by James Horsley

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Trends and Applications of Computed Tomography in Agricultural Non-Destructive Testing by Qi Wang, Hui Xue, Jerome Jeyakumar John Martin, Mingming Hou, Hongxing Cao, Zhiguo Dong, Jianshe Li, Chengxu Sun

“…With the continuous progress of technology, computed tomography (CT) technology has expanded from medicine to agriculture and other industries. …”
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X-ray computed microtomography in the evaluation of the porous system of soils by Larissa F. Costa, Antonio C. D. Balbinot Antonino, Heck Richard J., Artur P. Coutinho, Thiago C. Vasconcelos, Cassia B. Machado

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Brain Computer Interface and Brain Centrism: Origins, Challenges, and Reflections by Shaoqing MA, Gaofeng WANG

“…The continuous breakthroughs in brain computer interfaces (BCI) have once again brought attention to the central role of the brain from a technological perspective. …”
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Predicting properties of quantum systems by regression on a quantum computer by Andrey Kardashin, Yerassyl Balkybek, Vladimir V. Palyulin, Konstantin Antipin

“…Quantum computers can be considered as a natural means for performing machine learning tasks for inherently quantum labeled data. …”
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Computed tomography—current status and future directions for arthritis imaging by Sevtap Tugce Ulas, Torsten Diekhoff

“…Applications of computed tomography (CT) in arthritis imaging have rapidly expanded in recent years due to ongoing technical developments. …”
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Spatial monitoring of open caissons via computer vision approach by Qunwei Wang, Qun Li, Youliang Zhang

“…Traditional methods such as Electric Level have limitations in providing continuous monitoring throughout the sinking process. …”
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Formalization for Subsequent Computer Processing of Kara Sea Coastline Data by Daria Bogatova, Stanislav Ogorodov

“…Essential datasets were compiled and formatted for computer-based analysis. These datasets included information on permafrost and the geomorphological characteristics of the coastal zone, climatic factors influencing the shoreline, and measurements of bluff top positions and retreat rates over defined time periods. …”
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Possibilities of liver density estimation according to noncontrast computed tomography by A. P. Gonchar, V. A. Gombolevskij, A. B. Elizarov, N. S. Kulberg, M. M. Suleymanova, T. I. Alekseeva, D. A. Chernyshev, M. Yu. Titov, T. A. Levina, V. Yu. Bosin, S. P. Morozov

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AI for mental health: clinician expectations and priorities in computational psychiatry by Leo Fischer, Paula Antonia Mann, Minh-Hieu H. Nguyen, Stefan Becker, Shiva Khodadadi, Antonia Schulz, Sharmili Edwin Thanarajah, Jonathan Repple, Tim Hahn, Andreas Reif, Amir Salamikhanshan, Sarah Kittel-Schneider, Winfried Rief, Christoph Mulert, Stefan G. Hofmann, Udo Dannlowski, Tilo Kircher, Felix P. Bernhard, Hamidreza Jamalabadi

“…Our findings reveal a strong preference for tools enabling continuous monitoring and predictive modeling, particularly in outpatient settings. …”
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Computer Vision-Based Multiple-Width Measurements for Agricultural Produce by Cannayen Igathinathane, Rangaraju Visvanathan, Ganesh Bora, Shafiqur Rahman

“…Therefore, an efficient alternative computer vision measurement tool was developed utilizing ImageJ (Ver. 1.54p). …”
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A Multimodal Pancreas Phantom for Computer-Assisted Surgery Training by Benjamin Eigl, Caroline Haslebacher, Philip C. Muller, Andreas Andreou, Beat Gloor, Matthias Peterhans

“…<italic>Results:</italic> The phantom was successfully validated with regard to its computed tomography and ultrasound properties. As a result, the phantom could be used in combination with a state-of-the-art computer-assisted navigation system. …”
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MULTISLICE COMPUTED TOMOGRAPHY IN THE DIAGNOSIS OF MIXED TRAUMATIC BRAIN INJURY by A. V. Semenov, N. V. Monakov, E. I. Balkhanova, A. A. Raznobarskiy, T. A. Mamonova

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The Application of Entropy in Motor Imagery Paradigms of Brain–Computer Interfaces by Chengzhen Wu, Bo Yao, Xin Zhang, Ting Li, Jinhai Wang, Jiangbo Pu

“…<b>Background:</b> In motor imagery brain–computer interface (MI-BCI) research, electroencephalogram (EEG) signals are complex and nonlinear. …”
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THE COMPUTER-AIDED CONTROLLING OF TECHNICAL AND TECHNOLOGICAL PLANTS IN THE WAVELET MEDIUM by Fedosenkov D.B., Tokarev S.V., Simikova A.A., Iskhakov R.R., Fedosenkov B.A.

“…The approach developed and described is targeted to create the computer-aided system for controlling a technological plant within a so-called wavelet medium. …”
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Copula Approximate Bayesian Computation Using Distribution Random Forests by George Karabatsos

“…Ongoing modern computational advancements continue to make it easier to collect increasingly large and complex datasets, which can often only be realistically analyzed using models defined by intractable likelihood functions. …”
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