Enhancing student reflections with natural language processing based scaffolding: A quasi-experimental study in a large lecture course by Muhsin Menekse, Alfa Satya Putra, Jiwon Kim, Ahmed Ashraf Butt, Mark A. McDaniel, Ido Davidesco, Michelle Cadieux, Joe Kim, Diane Litman

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Simulación numérica del proceso de fractura en modo I de vigas de concreto con trayectoria de fisuración conocida mediante un modelo discreto de fisura cohesiva Numerical modeling... by Rubén Graffe, Dorian Linero

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Pruning and optimization of optical neural network as a binary optical trigger by Bokun Zhao, Xuening Dong, Kaveh Rahbardar Mojaver, Brett H. Meyer, Odile Liboiron-Ladouceur

“…To leverage the distinct advantages of integrated optical processors while avoiding its shortcomings given the current state of optical computing, we propose the binary optical trigger as a promising field of application. …”
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ERROR HANDLING IN INTEGRATION WORKFLOWS by A. M. Nazarenko, A. A. Prokhorov

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Design of an all-optical quaternary encoder to code decimal numbers by utilizing optical Kerr nonlinear material by Apurba Guchhait, Nirmalya Pahari, Nabin Baran Manik

“…Abstract Optics and photonics offer significant advancements in the rapidly evolving fields of data processing and communication owing to their inherent parallel-processing capabilities. …”
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Embedded machine learning for fault detection in conveyor systems using multi-sensor data and discrete wavelet transform by Hoang Duc Do, Quang Minh Vien, Khang Hoang Vinh Nguyen, Can Duy Le

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Assessing carbon footprint and performance of the Kalman filter track fitter in the CBM experiment by Grigory Kozlov, Grigory Kozlov, Ivan Kisel, Ivan Kisel, Ivan Kisel, Ivan Kisel

“…The GPU implementation demonstrates up to a threefold improvement in energy efficiency, resulting in a proportional reduction in power consumption and associated CO2 emissions during data processing. These results highlight the significance of energy-efficient computing in high-rate heavy-ion experiments. …”
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Dynamic Programming for Designing and Valuing Two-Dimensional Financial Derivatives by Malek Ben-Abdellatif, Hatem Ben-Ameur, Rim Chérif, Bruno Rémillard

“…We use dynamic programming, finite elements, and parallel computing to design and evaluate two-dimensional financial derivatives. …”
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Research on elite hierarchical task offloading strategy based on reinforcement learning in edge-cloud collaboration scenario by Juan FANG, Zhiyuan YE, Mengyuan ZHANG, Jiamei SHI, Ziyi TENG

“…With the development of 5G and the enrichment of application functions, applications have put forward higher requirements on the computing capabilities of terminal devices.In order to improve the computing capabilities of terminal devices on applications and reduce the processing time of tasks, it is aimed at mobile edge computing environments, a task offloading method for edge-cloud collaboration was proposed，and an elite hierarchical evolutionary algorithm combined with reinforcement learning (RL-EHEA) was designed to perform offloading decisions, so that multiple tasks with dependencies and deadlines compete for computing resources.The simulation experiment results show that, compared with genetic algorithm (GA) and elite genetic algorithm (EGA), RL-EHEA can shorten task processing time and obtain better resource allocation strategy.…”
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Big data, big responsibilities by Primavera De Filippi

“…With the advent of cloud computing, specialised data centres with powerful computational hardware and software resources can be used for processing and analysing a humongous amount of aggregated data coming from a variety of different sources. …”
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Waveguide-Integrated Plasmonic Photodetectors and Activation Function Units With Phase Change Materials by Jacek Gosciniak

“…With a rapidly growing amount of data generated and processed, a search for more efficient components and architectures such as neuromorphic computing that can perform increasingly complex operations in more efficient way continue. …”
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Foveal vision reduces neural resources in agent-based game learning by Runping Chen, Gerd J. Kunde, Louis Tao, Louis Tao, Andrew T. Sornborger

“…Efficient processing of information is crucial for the optimization of neural resources in both biological and artificial visual systems. …”
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Optimal Task Offloading Strategy for Vehicular Networks in Mixed Coverage Scenarios by Xuewen He, Yuhao Cen, Yinsheng Liao, Xin Chen, Chao Yang

“…In this paper, we introduce an optimal task offloading strategy under congested conditions, which is facilitated by a mixed coverage scenario with both 5G base stations and RSUs with the aim of enhancing the efficiency of computing resource utilization and reducing the task processing delay. …”
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Methods of Deployment and Evaluation of FPGA as a Service Under Conditions of Changing Requirements and Environments by Artem Perepelitsyn, Vitaliy Kulanov

“…During the prototyping of FPGA-based projects within modern design flow, it is necessary to consider the processing delays caused by various factors, including the delay of data transfer between the kernel and host computer, limited clock frequency, and multiple parallel-running FPGA accelerator cards. …”
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TL-CStrans Net: a vision robot for table tennis player action recognition driven via CS-Transformer by Libo Ma, Yan Tong

“…Then, we introduce the CLIP model, which combines computer vision and natural language processing. CLIP allows us to jointly learn representations of images and text, thereby aligning the visual and textual modalities. …”
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THE USE OF TECHNOLOGY IN BUSINESS COMMUNICATION by GABRIELA DUMBRAVĂ

“…The paper approaches the interaction between the digital world and the business world from the perspective of the influence exerted by the development of information and communications technology (ICT) on the process of communication in business. Starting from such examples of ICT-based services as cloud computing, voicemail and social media, the paper points out the positive and negative aspects of digital communication, emphasizing the impact of virtual space on its users. …”
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Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding by Yu Song, Yu Song, Liyuan Han, Tielin Zhang, Bo Xu, Bo Xu

“…Brain-computer interfaces (BCIs) are an advanced fusion of neuroscience and artificial intelligence, requiring stable and long-term decoding of neural signals. …”
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Kinaesthetic empathy through the lens of the cinematographer: physiological and phenomenological alignments in the act of creation by William Primett, Ksenia Mukhina, Mehmet Burak Yilmaz, Willeke Rietdijk, Willeke Rietdijk, Pia Tikka

“…Our findings emphasize the role of kinaesthetic empathy, in which embodied decision-making responds to predicted inner states, shaping and modulating emotional understanding throughout the filming process.…”
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Study of equipment deformation based on high-speed photography using a vibrating platform by X. Mai, X. Biao, Q. Hui, P. Mingjing, Zh. Ao, D. Zhaowen, Y. Zhifeng

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Development Status and Trend of Mine Intelligent Mining Technology by Zhuo Wang, Lin Bi, Jinbo Li, Zhaohao Wu, Ziyu Zhao

“…(ii) The edge layer leverages 5G and edge computing to accomplish real-time data processing, 3D dynamic modeling, and safety early warning. …”
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