Suchergebnisse - "Computer Science - Software Engineering"

Impact of Affirmative Action on Female Computer Science/Software Engineering Undergraduate Enrollment von Simmonds, Jocelyn, Bastarrica, Maria Cecilia, Hitschfeld-Kahler, Nancy

“… Affirmative action in college admissions has been touted as a way to close the gender gap in science, technology, engineering, and mathematics programs. We …”
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Generative Artificial Intelligence: Trends and Prospects von Jovanovic, Mladan, Campbell, Mark, Campbell, Mark

“… Generative artificial intelligence can make powerful artifacts when used at scale, but developing trust in these artifacts and controlling their creation are …”
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ixpeobssim: A simulation and analysis framework for the imaging X-ray polarimetry explorer von Baldini, Luca, Bucciantini, Niccolò, Lalla, Niccolò Di, Ehlert, Steven, Manfreda, Alberto, Negro, Michela, Omodei, Nicola, Pesce-Rollins, Melissa, Sgrò, Carmelo, Silvestri, Stefano

“… ixpeobssim is a simulation and analysis framework specifically developed for the Imaging X-ray Polarimetry Explorer (IXPE). Given a source model and the …”
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GitHub Copilot AI pair programmer: Asset or Liability? von Moradi Dakhel, Arghavan, Majdinasab, Vahid, Nikanjam, Amin, Khomh, Foutse, Desmarais, Michel C., Jiang, Zhen Ming (Jack)

“… Automatic program synthesis is a long-lasting dream in software engineering. Recently, a promising Deep Learning (DL) based solution, called Copilot, has been …”
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Advances in Neural Rendering von Tewari, A., Thies, J., Mildenhall, B., Srinivasan, P., Tretschk, E., Yifan, W., Lassner, C., Sitzmann, V., Martin‐Brualla, R., Lombardi, S., Simon, T., Theobalt, C., Nießner, M., Barron, J. T., Wetzstein, G., Zollhöfer, M., Golyanik, V.

“… Synthesizing photo‐realistic images and videos is at the heart of computer graphics and has been the focus of decades of research. Traditionally, synthetic …”
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Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering von Luan, Fujun, Zhao, Shuang, Bala, Kavita, Dong, Zhao

“… Reconstructing the shape and appearance of real‐world objects using measured 2D images has been a long‐standing inverse rendering problem. In this paper, we …”
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MOOSE: Enabling massively parallel multiphysics simulation von Permann, Cody J., Gaston, Derek R., Andrš, David, Carlsen, Robert W., Kong, Fande, Lindsay, Alexander D., Miller, Jason M., Peterson, John W., Slaughter, Andrew E., Stogner, Roy H., Martineau, Richard C.

“… Harnessing modern parallel computing resources to achieve complex multiphysics simulations is a daunting task. The Multiphysics Object Oriented Simulation …”
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A survey on dataset quality in machine learning von Gong, Youdi, Liu, Guangzhen, Xue, Yunzhi, Li, Rui, Meng, Lingzhong

“… With the rise of big data, the quality of datasets has become a crucial factor affecting the performance of machine learning models. High-quality datasets are …”
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A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability von Huang, Xiaowei, Kroening, Daniel, Ruan, Wenjie, Sharp, James, Sun, Youcheng, Thamo, Emese, Wu, Min, Yi, Xinping

“… In the past few years, significant progress has been made on deep neural networks (DNNs) in achieving human-level performance on several long-standing tasks …”
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sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts von Nguyen, Tai D., Pham, Long H., Sun, Jun, Lin, Yun, Minh, Quang Tran

“… Smart contracts are Turing-complete programs that execute on the infrastructure of the blockchain, which often manage valuable digital assets. Solidity is one …”
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State of the Art on Neural Rendering von Tewari, A., Fried, O., Thies, J., Sitzmann, V., Lombardi, S., Sunkavalli, K., Martin‐Brualla, R., Simon, T., Saragih, J., Nießner, M., Pandey, R., Fanello, S., Wetzstein, G., Zhu, J.‐Y., Theobalt, C., Agrawala, M., Shechtman, E., Goldman, D. B, Zollhöfer, M.

“… Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer graphics. Modern graphics techniques have succeeded in synthesizing …”
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Toward Decentralized Cloud Storage With IPFS: Opportunities, Challenges, and Future Considerations von Doan, Trinh Viet, Psaras, Yiannis, Ott, Jorg, Bajpai, Vaibhav

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Transparency and explainability of AI systems: From ethical guidelines to requirements von Balasubramaniam, Nagadivya, Kauppinen, Marjo, Rannisto, Antti, Hiekkanen, Kari, Kujala, Sari

“… •The AI ethical guidelines of 16 organizations emphasize explainability as the core of transparency.•A model and a template are proposed for the systematic …”
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Fuzzing: Challenges and Reflections von Boehme, Marcel, Cadar, Cristian, ROYCHOUDHURY, Abhik

“… We summarize the open challenges and opportunities for fuzzing and symbolic execution as they emerged in discussions among researchers and practitioners in a …”
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Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems von Abdollahzadeh, Benyamin, Gharehchopogh, Farhad Soleimanian, Khodadadi, Nima, Mirjalili, Seyedali

“… •A novel meta-heuristic is proposed inspired by the social life and hierarchy of wild mountain gazelles.•Gazelles' hierarchical and social life is formulated …”
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StrongSORT: Make DeepSORT Great Again von Du, Yunhao, Zhao, Zhicheng, Song, Yang, Zhao, Yanyun, Su, Fei, Gong, Tao, Meng, Hongying

“… Recently, Multi-Object Tracking (MOT) has attracted rising attention, and accordingly, remarkable progresses have been achieved. However, the existing methods …”
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Generative AI for Software Practitioners von Ebert, Christof, Louridas, Panos, Ebert, Christof

“… Generative artificial intelligence (AI) tools, such as Bard, ChatGPT, and CoPilot, have rapidly gained widespread usage. They also have the potential to boost …”
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A review on crowd simulation and modeling von Yang, Shanwen, Li, Tianrui, Gong, Xun, Peng, Bo, Hu, Jie

“… Crowd simulation has emerged in the last decade as a widely used method of visual effects, computer games, and urban planning, etc. The improvement of hardware …”
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Neural Fields in Visual Computing and Beyond von Xie, Yiheng, Takikawa, Towaki, Saito, Shunsuke, Litany, Or, Yan, Shiqin, Khan, Numair, Tombari, Federico, Tompkin, James, sitzmann, Vincent, Sridhar, Srinath

“… Recent advances in machine learning have led to increased interest in solving visual computing problems using methods that employ coordinate‐based neural …”
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Predictive maintenance using digital twins: A systematic literature review von van Dinter, Raymon, Tekinerdogan, Bedir, Catal, Cagatay

“… •The first SLR in predictive maintenance using Digital Twins.•42 primary studies were analyzed.•Key questions for designing a predictive maintance model were …”
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