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Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Networks algorithms we consider a weight discretization problem for trained neural networks. We show
Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Network. Part II: Correlation Maximization network weights. We improve it by means of maximizing correlations between the initial and quantized
INNOVATIONS IN DRILLING BITS TO IMPROVE ITS LIFE AND THE RATE OF PENETRATION (ROP)INNOVATIONS IN DRILLING BITS TO IMPROVE ITS LIFE AND THE RATE OF PENETRATION (ROP)
Model for Analyzing Impact of Path Loss on eMBB Bit Rate Degradation Under Priority URLLC Transmission in 5G Network power. Due to different URLLC and eMBB bit rate requirements, we use weighted round robin (WRR) resource
An analytical method to select appropriate linear and non-linear correlations on the effectiveness of penetration rate parameter towards mechanical specific energy, the drilling bit rate of penetration (ROP) was optimized. Then, the drilling parameters such as weight on bit
Comparison of Probabilistic Characteristics of 8-Bit Codes with Direct Error CorrectionThe article presents the results of comparing different 8-bit error-correcting codes
Экспериментальные исследования кодов с суммированием единичных и одного взвешенного разрядов в системах функционального контроляExperimental studies of one-bit and one weighted bit sum codes within concurrent error detection
Структуры схем коррекции ошибок на основе логического дополнения с контролем вычислений по коду с суммированием взвешенных переходов от разряда к разряду with summation of weighted transitions from bit to bit
В БГУИР подвели итоги «BIT-Cup-2024»Олимпиада BIT-Cup - это соревнования, направленные на выявление и поддержку талантливых студентов
IMPROVEMENTS IN DRILLING BIT TYPESIMPROVEMENTS IN DRILLING BIT TYPES
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