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DAI: How Pre-computation Speeds up Data Analysis
As data sizes continue to expand, the challenge of conducting meaningful analysis grows. Utilizing I/O (Input/Output) libraries, such as HDF5...
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A descent spectral Dai–Liao method based on the quasi–Newton aspects
A family of the spectral Dai–Liao methods is put forward in which the Dai–Liao parameter is achieved by approaching its search direction matrix to...
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Dai–Liao extensions of a descent hybrid nonlinear conjugate gradient method with application in signal processing
Recently, Jian, Han and Jiang proposed a descent hybrid conjugate gradient method which is globally convergent without convexity assumption on the...
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Red-Black Coins: Dai Without Liquidations
A number of Ethereum projects for stablecoins and synthetic assets use the same core mechanism for fixing the price of an asset. In this paper, we...
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DAI based wireless sensor network for multimedia applications
In Wireless Multimedia Sensor Network (WMSN), the time critical and delay sensitive applications like video, audio, image demands high bandwidth and...
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Distributed Artificial Intelligence 4th International Conference, DAI 2022, Tian**, China, December 15–17, 2022, Proceedings
This book constitutes the refereed proceedings of the 4th International Conference on Distributed Artificial Intelligence, DAI 2022, held in Tian**,...
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Crypto++
Crypto++ (also called CryptoPP, libcrypto++, and libcryptopp) is a cross-platform, free, and open source cryptographic C++ library written by Wei Dai.
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AEP-GAN: Aesthetic Enhanced Perception Generative Adversarial Network for Asian facial beauty synthesis
In this paper, we address the task of facial aesthetics enhancement (FAE). Existing methods have made great progress, however, beautified images...
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Distributed Artificial Intelligence Third International Conference, DAI 2021, Shanghai, China, December 17–18, 2021, Proceedings
This book constitutes the refereed proceedings of the Third International Conference on Distributed Artificial Intelligence, DAI 2021, held in...
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Optimierung mit graphischen neuronalen Netzen
Viele Optimierungsprobleme der realen Welt können auf die Optimierung von Graphen reduziert werden. Optimierung mit graphischen neuronalen Netzen ist...
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Learning from obstructions: An effective deep learning approach for minimum vertex cover
Computational intractability has for decades motivated the development of a plethora of methodologies that mainly aim at a quality-time trade-off....
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A modified conjugate gradient method for general convex functions
The aim of this paper is to introduce a new non-smooth conjugate gradient method for solving unconstrained minimization problems. The proposed method...
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Near-field wideband beam training for ELAA with uniform circular array
Extremely large-scale antenna array (ELAA) at millimeter wave (mmWave) and Terahertz (THz) band has been considered a key technology for combating...
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Adaptive Discriminant and Quasiconformal Kernel Nearest Neighbor Classification
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions due to...
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Interacting with Assistive Technology (IATech) Workshop
Assistive Technology (ATech) is designed to increase, maintain or improve the functioning of people with disabilities. These products can consider...
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Post Proceedings of the Interacting with Assistive Technology (IATech) Workshop
Assistive Technology (ATech) is designed to increase, maintain or improve the functioning of people with disabilities. These products can consider...
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Rolling Shutter Camera: Modeling, Optimization and Learning
Most modern consumer-grade cameras are often equipped with a rolling shutter mechanism, which is becoming increasingly important in computer vision,...
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A novel topology with controllable wideband baseband impedance for power amplifiers
This paper presents a novel topology to control the baseband impedance of a power amplifier (PA) to avoid performance deterioration in concurrent...
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Near-field wideband channel estimation for extremely large-scale MIMO
Extremely large-scale multiple-input-multiple-output (XL-MIMO) at millimeter-wave (mmWave) and terahertz (THz) bands plays an important role in...
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Enhancing human-machine pair inspection with risk number and code inspection diagram
Software inspection is a widely-used approach to software quality assurance. Human-Machine Pair Inspection (HMPI) is a novel software inspection...
