The extensive feedback that students left at the end of courses can be very helpful in enhancing and honing the instruction. The comments, expressed in text format, cannot be effectively represented in a way that the ...
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ISBN:
(数字)9798350389579
ISBN:
(纸本)9798350389586
The extensive feedback that students left at the end of courses can be very helpful in enhancing and honing the instruction. The comments, expressed in text format, cannot be effectively represented in a way that the computer can recognize, and the meaning implied in the comments is always blurry, making it more difficult for the computer to understand them. As a result, it is challenging for the computer to use these comments and comprehend student appeal. In this paper, we address the representation problem by projecting comments (including words) into a dense vector space. We suggest using a highly deep neural network to capture the textual meaning while examining a real-world dataset of five-year comments from end-of-course evaluations at a university. The suggested model is assessed based on its capacity to identify the sentimental inclinations of these remarks, yielding insightful recommendations and critiques.
LiDAR-based 3D object detection is essential for autonomous driving. Existing high-performance 3D object detectors usually design complex structures in the 3D backbone to capture long-range dependencies among features...
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Rechargeable magnesium batteries(RMBs)have been considered a promising“post lithium-ion battery”system to meet the rapidly increasing demand of the emerging electric vehicle and grid energy storage ***,the sluggish ...
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Rechargeable magnesium batteries(RMBs)have been considered a promising“post lithium-ion battery”system to meet the rapidly increasing demand of the emerging electric vehicle and grid energy storage ***,the sluggish diffusion kinetics of bivalent Mg^(2+)in the host material,related to the strong Coulomb effect between Mg^(2+)and host anion lattices,hinders their further development toward practical *** engineering,regarded as an effective strategy to break through the slow migration puzzle,has been validated in various cathode materials for *** this review,we first thoroughly understand the intrinsic mechanism of Mg^(2+)diffusion in cathode materials,from which the key factors affecting ion diffusion are further ***,the positive effects of purposely introduced defects,including vacancy and doping,and the corresponding strategies for introducing various defects are *** applications of defect engineering in cathode materials for RMBs with advanced electrochemical properties are also ***,the existing challenges and future perspectives of defect engineering in cathode materials for the overall high-performance RMBs are described.
Cloud Computing (CC) offers a diverse range of services along with huge data storage across a network. CC has collaborated with varied emerging technologies like IoT because of its numerous advantages. Despite CC'...
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ISBN:
(数字)9798331529246
ISBN:
(纸本)9798331529253
Cloud Computing (CC) offers a diverse range of services along with huge data storage across a network. CC has collaborated with varied emerging technologies like IoT because of its numerous advantages. Despite CC's benefits, cloud-based servers are not always trustworthy in real-world scenarios. Users' privacy will be compromised if they send their data straight to cloud platforms since crucial information will be exposed to cloud servers. Thereby, this work develops a data security model in the cloud with two stages, proposed secured data storage and proxy re-encryption. Initially, the data is stored securely in the cloud based on improved AES-based encryption as well as obfuscation-based encryption. Based on the request from the data user, proxy re-encryption is done using Kronecker product-based encryption. The enhanced AES achieved the lowest value of 0.025 for the CCA attack with a key size of 128 bits. Thus, the final encoded key is obtained.
Coastal regions face significant challenges due to climate change, requiring effective adaptation strategies to protect ecosystems, infrastructure, and communities. Selecting appropriate strategies remains complex due...
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Fringe projection profilometry (FPP) is one of the most popular 3D sensing techniques and is widely used due to its flexibility, high resolution and high speed. However, the conventional FPP has errors in absolute pha...
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Soil cadmium (Cd) contamination is a non-negligible global environmental issue as it may threaten food security and human health through soil-plant interactions. Nanomaterials have a great potential to decrease Cd bio...
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In this paper, we prove some Paley-Wiener theorems for function spaces consisting of slice monogenic functions such as Paley-Wiener, Hardy and Bergman spaces. As applications, we can compute the reproducing kernel fun...
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Existing projection-related point cloud quality assessment (PCQA) methods commonly adopt a straightforward but content-independent projection strategy, which selects a certain number of viewpoints to obtain projected ...
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