Titlebook: Artificial Intelligence and Security; 7th International Co Xingming Sun,Xiaorui Zhang,Elisa Bertino Conference proceedings 2021 Springer Na

逃避系列單詞

Efficient Distributed Stochastic Gradient Descent Through Gaussian Averagingributed computing environment, frequent exchanges of gradient parameters between computational nodes are inevitable in model training, which introduces enormous communication overhead. To improve communication efficiency, a gradient compression technique represented by gradient sparseness and gradie

卷發(fā)

Application Research of Improved Particle Swarm Optimization Algorithm Used on Job Shop Scheduling P is proposed to solve the job shop scheduling problem (JSSP). By analyzing the scheduling characteristics of the job shop and according to various resource constraints, a process-based coding and activity scheduling decoding mechanism suitable for particle swarm optimization is designed. Use the pro

粗語(yǔ)

Artificial Intelligence Chronic Disease Management System Based on Medical Resource Perceptionth. How to optimize chronic disease management through existing technologies is a worthy research direction. This article takes chronic disease management as the research object, and designs an artificial intelligence chronic disease management system based on medical resource perception by combinin

Adornment

Research on Deep Learning Denoising Method in an Ultra-Fast All-Optical Solid-State Framing Camerange the refractive index distribution of the ultra-fast detection chip, and time-tuned multi-wavelength probe light for ultra-fast detection on the order of picoseconds or less. Due to the uneven intensity of the probe light wavelength and spatial diffraction, the noise of the detection image is too

碳水化合物

LSTM-XGBoost Application of the Model to the Prediction of Stock Priceant part of the financial industry, the stock market has an important impact on economic fluctuations. How to improve the changing trend of stock market fluctuations has become a hot topic that many scholars and investors pay most attention to. This paper uses the XGBoost model to train the opening

貪心

Test of Integrated Urban Rail Transit Vehicle-to-Ground Communication System Based on LTE-U Technoloto meet the data transmission requirements of urban rail transit. LTE-U, an emerging wireless technology which use an unauthorized spectrum to achieve LTE, can effectively alleviate the pressure of spectrum resource shortage. In this paper, we analyze the technical advantages of LTE-U in urban rail

Projection

Research on Efficient Image Inpainting Algorithm Based on Deep Learningm, which can only repair the problem of small area damage based on the structure and texture of the damaged image. In recent years, image inpainting algorithm based on deep learning has received widespread attention from industry and academia so that it has made great progress. However, the current

arbiter

HALO

bifurcate

Neural Network Study Quantum Synchronization and Quantum Correlation Under Non-zero Temperaturendispensable role in the control of the quantum system. The quantum synchronization phenomenon and the quantum correlation between the detector and the quantum system are very useful in quantum measurement process. However, there are still few studies on the nature of the quantum synchronization pro