The block diagram of the suggested DK-D53-DWSCNNet architecture for CC prediction is shown in Fig. 1. The Herlev and SEER databases provide the system with its initial input. To improve visual clarity, images are pre-processed using DKNet-JIF….
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Attention-based multi-agent reinforcement learning for traffic flow stability in mountainous tunnel entrances
System modeling
The entire system modeling of MF3DQN-TF framework is the core of the framework design. The system modeling that needs to be completed based on this framework mainly includes the following two parts51,52. MF3DNQ-TF Framework…
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Enhanced SWIR photodetection in Te0.7Se0.3 alloy based phototransistors with spectral range of 1300 nm via dual-gate engineering
Device structure and operation principle of dual-gate Te/Se phototransistor
Figure 1a illustrates the dual-gate phototransistor device structure with a Te/Se channel layer and Ni and ITO as bottom and top gates, respectively. The incident light…
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Heterotrophic denitrification for the simultaneous reduction of nitrates using acorn cups as an energy source
Result of analysis of the carbon source (acorn cups)
Particle size distribution analysis was conducted on the powdered acorn cups to ensure suitability with the analytical instruments used for characterisation (Table 1). The results indicate that…
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Growing burden of early-onset pancreatic cancer without increasing risk: what is the trick
While caution is warranted to prevent overstated concern about pancreatic cancer trends before the age of 50, one should highlight that trends might differ substantially, e.g., among individuals in their twenties compared to those in their…
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Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection
In this section, the method of collecting the necessary data for the research and the characteristics of this data are described. Then, the steps of the proposed method for predicting the academic performance of students in higher education are…
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The sci-fi films that physicists love to watch — from Interstellar to Spider-Man
Nature has interviewed a multitude of physicists this year in celebration of the 100th birthday of quantum mechanics. Although many of them disagree wildly about how the century-old theory describes reality, something they seem to agree on is…
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Quantum approximate multi-objective optimization | Nature Computational Science
Multi-objective optimization
The goal of MOO is to maximize a set of \(m\in {\mathbb{N}}\) objective functions (f1, …, fm), with \({f}_{i}:X\to {\mathbb{R}}\), i ∈ {1, …, m}, over a feasible domain \(X\subset…
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Reducing annotation burden in physical activity research using vision language models
Wasfy, M. M. & Lee, I.-M. Examining the dose–response relationship between physical activity and health outcomes. NEJM Evid. 1(12), EVIDra2200190 (2022).
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Servais,…
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