Nielsen, M. A. & Chuang, I. L. Quantum Computation and Quantum Information: 10th Anniversary Edition (Cambridge Univ. Press, 2011)
Kuroiwa, K. & Yamasaki, H. General quantum resource theories: distillation, formation and consistent resource…
Category: 7. Maths
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Estimation of protein content in wheat samples using NIR hyperspectral imaging and 1D-CNN
This study implemented a 1D-CNN to estimate protein content in wheat seeds using spectral data. The 496 training samples were subjected to 5-fold cross-validation to ensure robust model performance by selecting optimal hyperparameters and…
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A scalable cloud-integrated AI platform for real-time optimization of EV charging and resilient microgrid energy management
EVs charging and managing the grid might be drastically improved with the integration of AI, ML and cloud computing. To improve grid stability, optimize charging infrastructure, and guarantee sustainability, smart technologies are essential in…
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Spintronic digital compute-in-memory macro for efficient artificial intelligence
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This is a summary of: Li, H. et al. A lossless and fully parallel spintronic compute-in-memory macro for…
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Intelligent scheduling for distributed-level island integrated energy systems considering multi-energy utilization and incentive-penalty stepped carbon trading mechanism
Wu, X., Tian, Z. & Guo, J. A review of the theoretical research and practical progress of carbon neutrality. Sustain. Oper.Comput. 3, 54–66 (2022).
Almoghayer, M. A., Woolf, D. K., Kerr, S. &…
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A dual-channel hyperspectral classification method based on NAS and transformer
To validate the effectiveness of the CTMixer-NAS model, experiments were conducted on several publicly available datasets, including the Indian Pine (IP) dataset, the PaviaU (PU) dataset, the KSC dataset, the WHU_Hi_LongKou dataset,and Salinas…
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Quantum adaptive clonal genetic algorithm for low-energy clustering in agricultural WSNs
To validate the effectiveness of QACGA in clustering AWSNs, this study compares it with other state-of-the-art clustering methods, including WOA43, PSO44, SFLA45, and MRCH40. In this study, clustering experiments were conducted using the…
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An RGB-TIR Dataset from UAV Platform for Robust Urban Traffic Scenes Semantic Segmentation
Task definition
Semantic segmentation is one of the core tasks in computer vision, with the primary goal of assigning a precise semantic label to each pixel in a scene, representing the object category or region type it belongs to. Kust4K dataset…
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Property-guided inverse design of metal-organic frameworks using quantum natural language processing
Building the MOF dataset
The MOF dataset in this work consists of 3 topologies, 10 types of metal clusters (labeled as nodes in this work), and 15 types of organic ligands (labeled as edges in this work), with the number being small considering…
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Spatial distribution and business environment of specialized and sophisticated Little Giant enterprises in Zhejiang Province
Spatial layout of LGEs
The paper visualizes the spatial layout of LGEs in Zhejiang Province. Based on the detailed geographical location and latitude-longitude coordinate information of 470 LGEs in Zhejiang Province, a geographical spatial…
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