Titlebook: Benchmarking, Measuring, and Optimizing; 15th BenchCouncil In Sascha Hunold,Biwei Xie,Kai Shu Conference proceedings 2024 The Editor(s) (if

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978-981-97-0315-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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https://doi.org/10.1007/978-3-642-84899-5old. While based in the field of topology, TDA is primarily vested in the three computational elements: ., ., and .. The focus of this paper is on developing infrastructure to generate synthetic test data suitable to evaluate computational elements of TDA. The objective of this work is to generate t

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Introduction to Case Presentationethods. Traditional AI benchmarking methods struggle to adapt to the unique challenges posed by AI4S because they assume data in training, testing, and future real-world queries are independent and identically distributed, while AI4S workloads anticipate out-of-distribution problem instances. This p

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Titus L. Daniels,Thomas R. Talbotd biotechnology. Compared to traditional laboratory methods, the deep learning method has many advantages such as saving enormously time and money. The deep learning method achieves revolutionary success in predicting molecular properties and many models based on the deep learning method has been de

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Lisa R. Young MD,Scott M. Palmer MD, MHStailored for IoT applications. The streamlined yet comprehensive system stack of an IoT system is highly suitable for synergistic software and hardware co-design. This stack comprises various layers, including programming languages, frameworks, runtime environments, instruction set architectures (IS

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