Evaluation of Customer Satisfaction towards the Hospitality Industry: Using Kano Model by Umamaheswararao Gobbilla, A Bhavani Shree

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Capacity Evaluation for IEEE 802.16e Mobile WiMAX by Chakchai So-In, Raj Jain, Abdel-Karim Tamimi

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The Evolution of a Healthcare Software Framework: Reuse, Evaluation and Lessons Learned by Alessandra Macedo, José Augusto Baranauskas, Renato Bulcão-Neto

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Calibration and Evaluation of Fixed and Mobile Relay-Based System Level Simulator by Shahid Mumtaz, Le Thanh Tu, Kazi Saidul, Atílio Gameiro

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Toward a Framework for Determining Methods of Evaluation in Design Science Research by Julia Müller, Stefanie Würth, Thomas Schäffer, Christian Leyh

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Evaluating Combinations of Classification Algorithms and Paragraph Vectors for News Article Classification by Johannes Lindén, Stefan Forsström, Tingting Zhang

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Identifying and Evaluating Effective Criteria on BIM Projects Using the DANP Technique by Atefeh Hemmati, HasanAli Mosalman Yazdi, Abolfazl Sadeghian, Abolfazl Sherafat

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Learner-Centered Evaluation of an Augmented Reality System for Embedded Engineering Education by Florent Souvestre, Margarita Anastassova, Enara Artetxe Gonzalez, Aratz Setién Gutiérrez, Jorge R. Lopez Benito, Moshe Barak

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From Theory to Practice: Moving Toward Artificial Intelligence–powered Computer Vision Applications for Peripheral Motor Nerve Assessment of the Hand by Jess D. Rames, MD, MEng, Mehmet F. Tunaboylu, MD, Andrew F. Emanuels, MD, Steven L. Moran, MD

“…This study’s primary aim is to evaluate the efficacy of computer vision for assessing peripheral motor function and range of motion of the hand for future clinic and telemedicine purposes. …”
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Computed Tomography-Measured Cranial Sternal Lymphadenomegaly Is Associated with Elevated C-Reactive Protein in Small Dogs with Non-Neoplastic Disorders by Yutaro Ide, Yu Furusawa, Takeshi Sogawa, Kaori Takahashi, Tomohide Kuramoto, Masashi Takahashi, Naoki Miura

“…Lymph nodes are most easily assessed superficially through palpation, but computed tomography (CT) enables the evaluation of deep lymph nodes. …”
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Emotion on the edge: An evaluation of feature representations and machine learning models by James Thomas Black, Muhammad Zeeshan Shakir

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Effectiveness of unguided internet-based computer self-help platforms for eating disorders (with or without an associated app): A systematic review. by Alessandra Diana Gentile, Yosua Yan Kristian, Erica Cini

“…<h4>Background</h4>Following the COVID-19 pandemic, internet-based computer self-help platforms for eating disorders (EDs) became increasingly prevalent as a tool to effectively prevent and treat ED symptoms and related behaviours. …”
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Comparison of Risk Assessment Strategies for Patients with Diabetes Mellitus and Stable Chest Pain: A Coronary Computed Tomography Angiography Study by Jia Zhao, Shuo Wang, Pengyu Zhao, Yong Huo, Chunjie Li, Jia Zhou

“…Methods. 602 DM patients referred to coronary computed tomography angiography (CCTA) for SCP were included. …”
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Machine learning modeling based on informer for predicting complex unsteady flow fields to reduce consumption of computational fluid dynamics simulation by Mingkun Fang, Fangfang Zhang, Di Zhu, Ruofu Xiao, Ran Tao

“…In the prediction area, a grid of 10 ×10 monitoring points is established, and various error evaluation criteria are employed to assess the prediction results. …”
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Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods by Seong-Hyeon Kang, Kyuseok Kim, Jina Shim, Youngjin Lee

“…Abstract Subtraction computed tomography angiography (sCTA) can effectively separate enhanced cerebral arteries from similar signal intensity and proximity (i.e., vertebrae and skull). …”
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Instructional Process of Design-Based Learning Integration on Computational Thinking: A Framework for Effective Teaching in Course of Physics Experiment Design by Suritno Fayanto, I Nyoman Sudana Degeng, Syaad Patmanthara, Saida Ulfa

“…Design-Based Learning and computational thinking (CT) are two key components that support each other specifically in the learning process involving the development of experimental design. …”
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Microwave-assisted synthesis of carbon nanodots from Bombax ceiba leaves for enhanced Tribo-corrosion resistance: An experimental and computational analysis by A. Mushira Banu, B. Arifa Farzana, N. MujafarKani, Abhinay Thakur, K. Riaz Ahamed, Ashish Kumar

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Cone beam computed tomography analysis for immediate implant placement in the anterior maxilla based on radial root position: An observational study by Jignasha Suthar, Somil Mathur, Snehal Upadhyay, Thanmai Taduri

“…Materials and Methods: A total of 103 cone beam computed tomography (CBCT) scans involving the six maxillary anterior teeth were scrutinized in the radial plane. …”
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Do Deep Learning Algorithms Accurately Segment Intracerebral Hemorrhages on Noncontrast Computed Tomography? A Systematic Review and Meta‐Analysis by Diana Zarei, Mahbod Issaiy, Shahriar Kolahi, David S. Liebeskind

“…This study conducts a comprehensive systematic review and meta‐analysis to evaluate the precision of deep learning algorithms in delineating ICH on noncontrast computed tomography. …”
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Transthoracic Lung Ultrasound in Systemic Sclerosis-Associated Interstitial Lung Disease: Capacity to Differentiate Chest Computed-Tomographic Characteristic Patterns by Cinzia Rotondo, Giuseppe Busto, Valeria Rella, Raffaele Barile, Fabio Cacciapaglia, Marco Fornaro, Florenzo Iannone, Donato Lacedonia, Carla Maria Irene Quarato, Antonello Trotta, Francesco Paolo Cantatore, Addolorata Corrado

“…<b>Background/Objectives</b>: Even today, interstitial lung disease (ILD) is diagnosed by chest high-resolution computed tomography (lung HR-CT). Large amounts of data are available about the usefulness of transthoracic lung ultrasound (LUS) in ILD. …”
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