Discovering solutions to a handful of hazards associated with human health through analyzing physical activities have elevated the aspiration of prognosis of various diseases. This novel approach employs Human Activit...
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Compressive pulse amplifiers are a class of amplifiers that convert long low amplitude signals into very broadband pulses of high amplitude, yielding a very high instantaneous peak power output pulse. However, in the ...
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Graph neural networks(GNN) are a special variant of neural networks which help in dealing with unstructured data such as graph data. The advent of the GNN has helped in dealing with problems in different domains, espe...
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Because of the ever-increasing number of users, a communication system's power and spectrum effectiveness are critical to its success. To meet these system specifications, we examine Orbital Angular Momentum Multi...
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Semantic segmentation using deep learning techniques is now state-of-the-art in medical image segmentation, especially for brain Magnetic Resonant images (MRI). SegNet, a fully convolutional neural network architectur...
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In combinatorial optimization problems with one-hot constraints, the number of binary variables that have the value of one in the feasible solution becomes constant and small, so it is important to always consider the...
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ISBN:
(数字)9798331521165
ISBN:
(纸本)9798331521172
In combinatorial optimization problems with one-hot constraints, the number of binary variables that have the value of one in the feasible solution becomes constant and small, so it is important to always consider them to escalate the solution searching process and obtain a more converged solution in annealing. In this paper, we propose a method to preferably select binary variables with the value of one in the subQUBO annealing process using Ising machines such as quantum annealers. Evaluation experiments show that the proposed method obtains a solution with lower energy than a conventional subQUBO method and a full QUBO method.
We live in a Tech-Savvy world. Last decade was dedicated to the flourishing of electronics industries throughout the world as the largest and fastest growing manufacturing industry. The prosperity became a drive to so...
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Adversarial examples are doctored inputs to predictive models intentionally designed with a malicious purpose - to manipulate the inference time outputs of the machine learning system. One such recent threat to Deep N...
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One of the applications of listening to music pieces is walking. Previous studies suggested that musical tempo is an important factor in a listener's walking. Leman et al. found the difference in walking distance ...
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With the economic crisis that is looming over the world due to changes in the energy sector and a reduction in the supply of certain types of products, energy and resource efficiency issues are becoming more relevant ...
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