Improved machine classification algorithm for electric rail circuits in train warning systems by I. V. Prisukhina, D. V. Borisenko

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Training and onboarding initiatives in high energy physics experiments by Allison Reinsvold Hall, Nicole Skidmore, Gabriele Benelli, Ben Carlson, Ben Carlson, Claire David, Jonathan Davies, Wouter Deconinck, David DeMuth, Peter Elmer, Rocky Bala Garg, Stephan Hageböck, Killian Lieret, Valeriia Lukashenko, Valeriia Lukashenko, Sudhir Malik, Andy Morris, Heidi Schellman, Graeme A. Stewart, Jason Veatch, Michel Hernandez Villanueva

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From Technical Prerequisites to Improved Care: Distributed Edge AI for Tomographic Imaging by Bilgehan Akdemir, Hafiz Faheem Shahid, Mikael A. K. Brix, Juho Laakkola, Johirul Islam, Tanesh Kumar, Jarmo Reponen, Miika T. Nieminen, Erkki Harjula

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Classical and quantum algorithms for many-body problems by Ayral, Thomas

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Quantum-inspired K-nearest neighbors classifier for enhanced printer source identification in forensic document analysis by Saad M. Darwish, Raad A. Ali, Adel A. Elzoghabi

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End User Computing Satisfaction : Model Analisis Kepuasan Pengguna Aplikasi Menggunakan Partial Least Square Structural Equation Modeling (Studi Kasus) by Aditia Angga Perdana, Meinarini Catur Utami, Qurrotul Aini

“…Metode riset ini menerapkan End-User Computing Satisfaction (EUCS) dengan cara kuantitatif dan diseminasi kuesioner mendapatkan informasi dari objek penelitian. …”
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Power Controlled Resource Allocation and Task Offloading via Optimized Deep Reinforcement Learning in D2D Assisted Mobile Edge Computing by Sambi Reddy Gottam, Udit Narayana Kar

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A Feature-Extraction-Based Lightweight Convolutional and Recurrent Neural Networks Adaptive Computing Model for Container Terminal Liner Handling Volume Forecasting by Bin Li, Yuqing He

“…The synergy of computational logistics and deep learning provides a new methodology and solution to the operational decisions of container terminal handling systems (CTHS) at the strategic, tactical, and executive levels. …”
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High Performance Computing of Complex Electromagnetic Algorithms Based on GPU/CPU Heterogeneous Platform and Its Applications to EM Scattering and Multilayered Medium Structure by Zhe Song, Xing Mu, Hou-Xing Zhou

“…Comparing to the exploration in EM algorithms from mathematical point of view, the computer programming realization is coordinately significant while keeping up with the development of hardware architectures. …”
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Prediction of Thermal Conductivity of a Rock Wool Board by Computer X-Ray Tomography Technique Scanning and Random Generation-Growth Model by Xiaoguang Li, Rui Zhang, Diya Zhang, Xin Fan, Meiqi Guo, Jinyi Qin

“…Although distribution of fibers in a realistic rock wool board is unclear, it can be simulated by computer X-ray tomography technique (CT) followed by rearrangement through the random generation-growth (RGG) model. …”
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Economic Evaluation of a Novel Lung Cancer Diagnostic in a Population of Patients with a Positive Low-Dose Computed Tomography Result by Michael J. Morris, Sheila A. Habib, Maggie L. Do Valle, John E. Schneider

“…Consequently, there is a critical need for advanced diagnostics after an initial low-dose computed tomography (LDCT) scan. **Objectives:** This study evaluated the potential cost savings for US payers of CyPath® Lung, a novel diagnostic tool utilizing flow cytometry and machine learning for the early detection of lung cancer, in patients with positive LDCT scans with indeterminate pulmonary nodules (IPNs) ranging from 6 to 29 mm. …”
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Hemodynamic Effect of Unequal Anterior Cerebral Artery Flow Rates on the Anterior Communicating Artery Bifurcation: A Computational Fluid Dynamics Study by Thomas Rau, Xing He, Prem Venugopal, Fernando Viñuela, Gary Duckwiler, Daniel J. Valentino

“…Computational fluid dynamics techniques were used to investigate the hemodynamic effect of unequal anterior cerebral artery flow rates on the anterior cerebral and anterior communicating artery (ACA-ACOM) bifurcation. …”
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Efficient Scheduling of Scientific Workflows with Energy Reduction Using Novel Discrete Particle Swarm Optimization and Dynamic Voltage Scaling for Computational Grids by M. Christobel, S. Tamil Selvi, Shajulin Benedict

“…One of the most significant and the topmost parameters in the real world computing environment is energy. Minimizing energy imposes benefits like reduction in power consumption, decrease in cooling rates of the computing processors, provision of a green environment, and so forth. …”
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Role of Cone Beam Computed Tomography in Rehabilitation of a Traumatised Deficient Maxillary Alveolar Ridge Using Symphyseal Block Graft Placement by Shipra Arora, Arundeep Kaur Lamba, Farrukh Faraz, Shruti Tandon, Abdul Ahad

“…Careful assessment of the recipient as well as the donor site using cone beam computed tomography (CBCT) is a prerequisite to ideal treatment planning. …”
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Computed Tomography Image Segmentation of Lung Corona Virus Infection Region Based on Combination of Grayscale Morphological Reconstruction and Fast Marching Method by Aws Alazawi, Abbas Fadhal Humadi, Huda Farooq Jameel, Huda Ali Hashim, John Soraghan

“… Recently, X-ray computed tomography-imaging modality is considered as golden standard for diagnosis of coronavirus lungs infection. …”
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Noninvasive Demonstration of Dual Coronary Artery Fistulas to Main Pulmonary Artery with 64-Slice Multidetector-Computed Tomography: A Case Report by Yoshiki Noda, Ryo Matsutera, Yoshinori Yasuoka, Haruhiko Abe, Hidenori Adachi, Susumu Hattori, Ryo Araki, Takahiro Imanaka, Motohiro Kosugi, Tatsuya Sasaki

“…We report here a 58-year-old woman with dual fistulas originating from the left anterior descending coronary artery and right coronary sinus to the main pulmonary artery, demonstrating noninvasively with multidetector-computed tomography (MDCT) and transthoracic echocardiography (TTE).…”
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Computational design of drug candidates for influenza A virus subtype H1N1 by inhibiting the viral neuraminidase-1 enzyme by Tambunan Usman Sumo Friend, Parikesit Arli Aditya, Dephinto Yonaniko, Sipahutar Feimmy Ruth Pratiwi

“…Here we designed ligands by using molecular docking, drug scan and dynamics computational methods. Based on our docking results, short polypeptides of cystein-arginine-methionine-tyrosine- -proline-cysteine (CRMYPC) and cysteine-arginine-aspargine- phenylalanine-proline-cysteine (CRNFPC) have good residual interactions with the target and the binding energy ΔGbinding of -31.7402 and -31.0144 kcal mol-1, respectively. …”
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Thermal and economic evaluation of replacing pulverized coal with torrefied biomass in a small industrial burner in Thailand using computational fluid dynamics by Rachapat Chaiyo, Jakrapop Wongwiwat, Yanin Sukjai

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The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in (De)Composition but in Linear Discriminative Learning by R. Harald Baayen, Yu-Ying Chuang, Elnaz Shafaei-Bajestan, James P. Blevins

“…The discriminative lexicon is introduced as a mathematical and computational model of the mental lexicon. This novel theory is inspired by word and paradigm morphology but operationalizes the concept of proportional analogy using the mathematics of linear algebra. …”
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The Plausibility of Distance and Computer-Assisted Learning in an era of Fuel Subsidy Removal: a Case Study of the Main Campus of Lagos State University by Мохаммед Акінола Акомолафе, Оладжиде Абіодун Обі

Subjects: “…computer assisted learning…”
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