Audio-visual perception of 3D cinematography: an fMRI study using condition-based and computation-based analyses. by Akitoshi Ogawa, Cecile Bordier, Emiliano Macaluso

“…Previous imaging studies examined brain activity associated with the processing of cinematographic material using both standard "condition-based" designs, as well as "computational" methods based on the extraction of time-varying features of the stimuli (e.g. motion). …”
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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review by Kapongo D. Lumamba, Gordon Wells, Delon Naicker, Threnesan Naidoo, Adrie J. C. Steyn, Mandlenkosi Gwetu

“…We categorised the computer vision platform into four technologies: image processing, object/pattern recognition, computer graphics, and deep learning. …”
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ScannerVision: Scanner-based image acquisition of medically important arthropods for the development of computer vision and deep learning models by Song-Quan Ong, Nathan Pinoy, Min Hui Lim, Kim Bjerge, Francisco Javier Peris-Felipo, Rob Lind, Jordan P. Cuff, Samantha M. Cook, Toke Thomas Høye

“…Computer vision methods offer great potential for rapid image-based identification of medically important arthropod specimens. …”
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Computer vision based automatic evaluation method of Y2O3 steel coating performance with SEM image by Jianhong Zhao, Huamin Yang, Yi Sui

“…This approach not only enhances the training process but also simplifies loss function design, ultimately leading to a proper evaluation of surface modifications in steel materials. …”
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Method of designing computer education as a means of improving mastering professionally-oriented english by future merchant navy personnel by Tatyana Panayotovna Avanesova, Lena Kamilievna Gruzdeva, Marina Valeryevna Meflekh, Olga Sergeevna Aketina

“…To achieve the intended goal, it is necessary to solve the following problems: to analyze theoretical and methodological aspects of the implementation of the intensive method of teaching foreign language to future merchant navy specialists with the prospect of obtaining effectiveness; to verify experimentally the effectiveness of the developed “STEP 8.0” computer program. In solving the tasks, the following research methods have been used: analysis of psychological, pedagogical, methodological and linguistic literature related to information and communication technologies on the research problem; observation of the process of teaching English to future navigators. …”
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Accelerated Multiobjective Calibration of Fused Deposition Modeling 3D Printers Using Multitask Bayesian Optimization and Computer Vision by Graig S. Ganitano, Benji Maruyama, Gilbert L. Peterson

“…Proper process parameter calibration is critical to the success of fused deposition modeling (FDM) three‐dimensional (3D) printing, but is time‐consuming and requires expertise. …”
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Reliability measures of a computer system with priority to PM over the H/W repair activities subject to MOT and MRT by Ashish Kumar, S.C. Malik

“…This paper concentrates on the evaluation of reliability measures of a computer system of two-identical units having independent failure of h/w and s/w components. …”
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Evaluation of the pharyngeal airway dimensions measured by cephalometrics and cone beam computed tomography in patients with skeletal class II malocclusions by Trinh Thi Ngoc Nguyen, Lam Nguyen Le, Ngan Thi Bich Truong, Phung Thi Thanh Nguyen, Cuong Manh Tran, Tranh Thi Huyen Trinh, Loc Truong Tan, Kha Van Nguyen

“…OBJECTIVE: To assess the correlation between pharyngeal airway dimension measurements via cephalometrics and those via cone beam computed tomography (CBCT) in patients with skeletal Class II malocclusions. …”
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Cone-beam computed tomography in endodontics: from the specific technical considerations of acquisition parameters and interpretation to advanced clinical applications by Néstor Ríos-Osorio, Sara Quijano-Guauque, Sandra Briñez-Rodríguez, Gustavo Velasco-Flechas, Antonieta Muñoz-Solís, Carlos Chávez, Rafael Fernandez-Grisales

“…A systematic and reproducible method to review CBCT scans can improve the accuracy of the interpretation process, translating into greater precision in terms of diagnosis and planning of endodontic clinical procedures. …”
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A Comparative Computational Investigation on Amantadine Adsorption on the Surfaces of Pristine, C-, Si-, and Ga-doped Aluminum Nitride Nanosheets by Babak Mohammadi, Mohammad Reza Jalali Sarvestani

“…Therefore, in this investigation, the performance of pristine, C-, Si-, and Ga-doped aluminum nitride nanosheets as a sensor for electrochemical detection of AT was evaluated by density functional theory computations. The calculated adsorption energies were -17.22, -19.06, -28.98, and -20.36 kcal/mol in the cases of pristine, Si-, Ga-, and C-doped nanosheets, respectively. …”
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Computationally Effective Gravity Inversion Allows for High-Resolution Regional Density Modeling of Earth's Crust with the Inclusion of the Topography Layer by Martyshko Pyotr, Byzov Denis, Chernoskutov Aleksandr

“…In this paper however, we will address those issues simultaneously, offering a complete and computationally effective method of recovering spherical density model of Earth's crust with the upper topography layer. …”
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Computer-based cognitive interventions in acquired brain injury: A systematic review and meta-analysis of randomized controlled trials. by Rodrigo Fernández López, Adoración Antolí

“…Interventions aimed at reducing such deficits include the use of computer-based cognitive interventions. The present work synthetizes and quantitively analyses the effect of computer-based cognitive interventions in ABI.…”
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Recent innovations in machine learning for skin cancer lesion analysis and classification: A comprehensive analysis of computer‐aided diagnosis by Syeda Shamaila Zareen, Md Shamim Hossain, Junsong Wang, Yan Kang

“…This paper carefully reviews the whole diagnostic process: data preparation, lesion segmentation, feature extraction, feature selection, and final classification. …”
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A Computational Methodology Based on Maximum Overlap Discrete Wavelet Transform and Autoencoders for Early Prediction of Sudden Cardiac Death by Manuel A. Centeno-Bautista, Andrea V. Perez-Sanchez, Juan P. Amezquita-Sanchez, David Camarena-Martinez, Martin Valtierra-Rodriguez

“…The proposed method efficiently predicts an SCD event with an accuracy of 98.94% up to 30 min before the onset, making it a reliable tool for early detection while providing sufficient time for medical intervention and increasing the chances of preventing fatal outcomes, demonstrating the potential of integrating signal processing and deep learning techniques within computational biology to address life-critical health problems.…”
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An Experimental and Computational Study on the Effects of Ball Milling on the Physicochemical Properties and Digestibility of a Canna Starch/Tea Polyphenol Complex by Yizhou Wang, Kejun Di, Ying Sun, Xiaojing Li, Jiong Zheng, Fusheng Zhang

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Separation of organic molecules from water by design of membrane using mass transfer model analysis and computational machine learning by Suranjana V. Mayani, Hessan Mohammad, Soumya V. Menon, Rishabh Thakur, Abdulqader Faris Abdulqader, S. Supriya, Prabhat Kumar Sahu, Kamal Kant Joshi

“…A membrane contactor was employed for the separation and mass transfer analysis for the removal of organic molecules from water. The process is simulated via computational fluid dynamics and machine learning. …”
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Computational approaches in drug chemistry leveraging python powered QSPR study of antimalaria compounds by using artificial neural networks by Wakeel Ahmed, Tamseela Ashraf, Maliha Tehseen Saleem, Emad E. Mahmoud, Kashif Ali, Shahid Zaman, Melaku Berhe Belay

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Towards a computer-assisted assessment of imitation in children with autism spectrum disorder based on a fine-grained analysis by Rujing Zhang, Jingying Chen, Xiaodi Liu, Yanling Gan, Guangshuai Wang

“…Therefore, this study proposes a computer-assisted method for the refined assessment of imitation ability in children with ASD. …”
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A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems by Ripal Ranpara, Osamah Alsalman, Om Prakash Kumar, Shobhit K. Patel

“…Furthermore, the framework improves computational efficiency, reducing processing time by 15% and making it highly effective for resource-constrained environments such as IoT and edge computing. …”
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Exploring mathematics teacher’s perceptions of students’ computational thinking and attitudes towards STEAM-AR: A need for module development by Masduki Masduki, Rita Pramujiyanti Khotimah, Sukirman Sukirman, Salsabila Kurniawati, Isnaini Nurul Hidayati

“…Computational thinking (CT) skills are vital for addressing future challenges. …”
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