Lung cancer can be lethal if it is not found in the initial phases. Lung cancer, nevertheless, is challenging to identify early due to the dimensions and form of the nodules. Imaging specialists require the assistance...
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Realizing high performance in both n-type and p-type materials is essential for designing efficient ther-moelectric ***,the doping bottleneck is often encountered,i.e.,only one type of conduction can be *** one exampl...
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Realizing high performance in both n-type and p-type materials is essential for designing efficient ther-moelectric ***,the doping bottleneck is often encountered,i.e.,only one type of conduction can be *** one example,p-type CdSb with high thermoelectric performance has been discovered for several decades,while its n-type counterpart has rarely been *** this work,the calculated band structure of CdSb demonstrates that the valley degeneracy is as large as ten for the conduction band,and it is only two for the valence ***,the n-type CdSb can potentially realize an ex-ceptional thermoelectric ***,the n-type conduction has been successfully real-ized by tuning the stoichiometry of *** further doping indium at the Cd site,an improved room-temperature electron concentration has been *** modeling predicts an optimal electron con-centration of∼2.0×1019 cm−3,which is higher than the current experimental ***,future optimization of the n-type CdSb should mainly focus on identifying practical approaches to optimize the electron concentration.
The main goal of web development is to create, build and maintain websites. It is what allows the user to experience seamless performance when accessing a website. The web applications landscape has evolved tremendous...
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This paper presents a comprehensive approach to address the challenge of dehazing on-road images by synthesising datasets and training advanced deep learning models. Leveraging Pix2Pix GAN and introducing a novel Tira...
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Lung cancer remains a dangerous global health challenge, which desires for innovation for early detection and personalized treatment. This research paper introduces an integration of deep learning framework that uses ...
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This study explores the application of machine learning algorithms for predicting customer churn within the telecommunications sector, using a dataset containing key customer attributes like service usage indicators, ...
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Research on speech emotion recognition (SER) is ongoing and has numerous applications in fields like healthcare, education, and human-computer interaction. The RAVDESS dataset for SER, which includes a varied collecti...
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In the past few decades, the study of collective motion phase transition process has made great progress. It is also important for the description of the spatial distribution of particles. In this work, we propose a n...
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In the past few decades, the study of collective motion phase transition process has made great progress. It is also important for the description of the spatial distribution of particles. In this work, we propose a new order parameter φ to quantify the degree of order in the spatial distribution of particles. The results show that the spatial distribution order parameter can effectively describe the transition from a disorderly moving phase to a phase with a coherent motion of the particle distribution and the same conclusion could be obtained for systems with different sizes. Furthermore, we develop a powerful molecular dynamic graph network(MDGNet) model to realize the long-term prediction of the self-propelled collective system solely from the initial particle positions and movement angles. Employing this model, we successfully predict the order parameters of the specified time step. And the model can also be applied to analyze other types of complex systems with local interactions.
In the financial sector, credit card fraud is a common issue that costs both people and organizations a lot of money. The ability of machine learning algorithms to automatically identify patterns and anomalies from bi...
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This paper presents the YOLOv8 model for road damage detection, highlighting performance enhancements. YOLOv8 features a novel backbone network, an anchor-free detection head, and new loss functions, ensuring efficien...
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