In this paper, we propose a large language model to forecast the direction of change in a foreign exchange rate. The input of the proposed model is textual information as a prompt, whereas that of conventional forecas...
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The availability of computing resources and services through the Internet is a revolutionary approach to delivering computer resources. It is considered by many managers and experts as capable of making changes in the...
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In today's world, connectivity and performance-driven technology are rapidly advancing each year, and new platforms and mechanisms are being utilized to enhance the security and performance of databases and cloud ...
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Image denoising algorithm based on depth learning generally uses convolution sparse self-coding network as the main framework of the denoising network. However, although convolution sparse self-coding network can effe...
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The Programmable Data Plane (PDP) is a paradigm of providing in-network computing for computing Power Networks (CPN). With PDP, multiple computing services (e.g., DNS) can be offloaded on edge-network-devices. These i...
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During the last 10 years, Cloud computing has become an evolving technology providing several benefits such as cost reduction and high flexibility. However, one of the main challenges related to cloud computing is rel...
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With the development of wireless sensor networks to combat the problem of reaching places otherwise unreachable for humans, there is a need to keep these remote renewable devices charged. Optimizing the network to uti...
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ISBN:
(纸本)9798350385939;9798350385922
With the development of wireless sensor networks to combat the problem of reaching places otherwise unreachable for humans, there is a need to keep these remote renewable devices charged. Optimizing the network to utilize the minimum amount of energy becomes paramount. With the advent of powerful Quantum Variational Algorithms suited for the current Noisy Intermediate Scale Quantum (NISQ) era of quantum computers, we can exploit the power of these quantum processors to solve classically hard problems. In this paper, we use the Quantum Alternating Operator Ansatz (QAOA) followed by Grover Searching, which amplifies the possible paths to find the optimal path in a multi-hop network. We perform experiments using quantum simulators to obtain useful insights into the algorithm's performance with respect to various parameters of interest. Our approach involving QAOA and Grover Searching is a useful benchmark for more general and complex optimization problems in remote renewable wireless networks.
In this paper, we describe the design and assessment of an Internet of Things (IoT)-based smart air pollution moni-toring system. The system provides accurate, fast, and complete information on air quality through rea...
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For the problem of high computational overhead and high communication overhead faced by resource-constrained IoT devices during federated learning, this thesis proposes a lightweight intrusion detection model. By inte...
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ISBN:
(纸本)9798350379860;9798350379877
For the problem of high computational overhead and high communication overhead faced by resource-constrained IoT devices during federated learning, this thesis proposes a lightweight intrusion detection model. By integrating hybrid feature enhancement units and multi-scale convolutional units, the model significantly reduces both the number of parameters and the computational demands. Experimental results show that the lightweight model exhibits good classification performance in a variety of federated learning scenarios.
This study investigates the application of deep learning models, including CNN, ResNet50, and VGG16, for the early detection of skin cancer. Utilizing a dataset of 3,307 images, the models were trained to classify ski...
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