Suchergebnisse - "Encoders and decoders"

Optimization of Quantum Circuits for Stabilizer Codes von Mondal, Arijit, Parhi, Keshab K.

“… Quantum computing is an emerging technology that has the potential to achieve exponential speedups over their classical counterparts. To achieve quantum …”
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An Optimized Nearest Neighbor Compliant Quantum Circuit for 5-Qubit Code von Mondal, Arijit, Parhi, Keshab K.

“… The five-qubit quantum error correcting code encodes one logical qubit to five physical qubits, and protects the code from a single error. It was one of the …”
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PROJECT-BASED LEARNING APPROACH APPLIED IN THE COURSE "CODING IN TELECOMMUNICATION SYSTEMS" von Borodzhieva, Adriana

“… The paper describes the application of the project-based learning approach for increasing students' motivation for studying in the course "Coding in …”
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Chapter 13 - Physical Implementations of Quantum Information Processing von Ivan B. Djordjevic

“… This chapter is devoted to several promising physical implementations of quantum information processing. The chapter starts with a description of physical …”
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Algebraic aspects of two-dimensional convolutional codes von Fornasini, E., Valcher, M.E.

“… Two-dimensional (2D) codes are introduced as linear shift-invariant spaces of admissible signals on the discrete plane. Convolutional and, in particular, basic …”
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Design of novel quaternary encoders and decoders von Jahangir, I., Das, A., Hasan, M.

“… In this work, a novel quaternary algebra has been employed to design quaternary encoders and decoders of any size. Both priority and ordinary encoders has been …”
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Consciousness in a Self-Learning, Memory-Controlled, Compound Machine von Brown, Robert Alan

“… A memory-controlled, sensor/actuator machine senses conditions in its environment at given moments, and attempts to produce an action based upon its memory …”
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Characteristics of Prototype CMOS Quaternary Logic Encoder-Decoder Circuits von MANGIN, J. L, CURRENT, K. W

“… The use of quaternary logic input and output signals for delivering information on and off chip could reduce the number of required package pins or increase …”
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Quantum Circuits for Stabilizer Error Correcting Codes: A Tutorial von Mondal, Arijit, Parhi, Keshab K.

“… Quantum computers have the potential to provide exponential speedups over their classical counterparts. Quantum principles are being applied to fields such as …”
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IoT-Enabled Alzheimer Disease Detection: A Convolutional Encoder-Decoder Approach Enhanced by Alpine Skiing Optimization von Evangelin Sonia, S.V., Mustare, Narendra B, Sailaja, V., Sunitha, Pamarthi

“… Alzheimer's disease (AD) represents a significant challenge in the treatment of dementia among older adults, with early diagnosis being crucial for improving …”
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CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification von Liu, Qichao, Xiao, Liang, Yang, Jingxiang, Wei, Zhihui

“… Recently, the graph convolutional network (GCN) has drawn increasing attention in the hyperspectral image (HSI) classification. Compared with the convolutional …”
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T-Net: Nested encoder–decoder architecture for the main vessel segmentation in coronary angiography von Jun, Tae Joon, Kweon, Jihoon, Kim, Young-Hak, Kim, Daeyoung

“… In this paper, we proposed nested encoder–decoder architecture named T-Net. T-Net consists of several small encoder–decoders for each block constituting …”
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Time series prediction based on LSTM-attention-LSTM model von Wen, Xianyun, Li, Weibang

“… Time series forecasting uses data from the past periods of time to predict future information, which is of great significance in many applications. Existing …”
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Interpretable deep learning model for building energy consumption prediction based on attention mechanism von Gao, Yuan, Ruan, Yingjun

“… An effective and accurate building energy consumption prediction model is an important means to effectively use building management systems and improve energy …”
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Effective image tampering localization with multi-scale ConvNeXt feature fusion von Zhu, Haochen, Cao, Gang, Zhao, Mo, Tian, Huawei, Lin, Weiguo

“… With the widespread use of powerful image editing tools, image tampering becomes easy and realistic. Existing image forensic methods still face challenges of …”
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Two-stage convolutional encoder-decoder network to improve the performance and reliability of deep learning models for topology optimization von Ates, Gorkem Can, Gorguluarslan, Recep M.

“… A vital necessity when employing state-of-the-art deep neural networks (DNNs) for topology optimization is to predict near-optimal structures while satisfying …”
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Multi-unit stacked architecture: An urban scene segmentation network based on UNet and ShuffleNetv2 von Liu, Dian, Du, Jianchao, Li, Chuhan, Yu, Chenglong, Zhang, Mingjin

“… Classic high-accuracy semantic segmentation models typically come with a large number of parameters, making them unsuitable for deployment on driverless …”
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Multi-source domain generalization deep neural network model for predicting energy consumption in multiple office buildings von Jiang, Ben, Li, Yu, Rezgui, Yacine, Zhang, Chengyu, Wang, Peng, Zhao, Tianyi

“… The effective prediction of building energy consumption can be used to optimize building operating modes and reduce the overall energy consumption and carbon …”
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Physically Jacobian-Informed Encoder-Decoder ANNs for Nonlinear Power Flow Regression von Yang, Hao, Zheng, Kai, Su, Wendong, Sun, Zhenglong, Cai, Guowei, Ding, Zhaohao

“… Power flow (PF) is the basis of steady-state analysis and control of power systems. The conventional model-driven PF formulated by a set of implicated …”
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GRA-GAN: Generative adversarial network for image style transfer of Gender, Race, and age von Kim, Yu Hwan, Nam, Se Hyun, Hong, Seung Baek, Park, Kang Ryoung

“… •Generating gender, age, and race images based on information fusion in GRA-GAN.•Element-wise multiplication of the image gradient is performed in the …”
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