Works matching IS 02699648 AND DT 2017 AND VI 31 AND IP 4
Results: 13
FINDING NON-STATIONARY STATE PROBABILITIES OF G-NETWORK WITH SIGNALS AND CUSTOMERS BATCH REMOVAL.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. 396, doi. 10.1017/S0269964817000109
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- Article
PROCESSOR SHARING G-QUEUES WITH INERT CUSTOMERS AND CATASTROPHES: A MODEL FOR SERVER AGING AND REJUVENATION.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. 420, doi. 10.1017/S0269964817000092
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- Article
FINITE CAPACITY ENERGY PACKET NETWORKS.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. 477, doi. 10.1017/S0269964817000080
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- Article
PES volume 31 issue 4 Cover and Back matter.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. b1, doi. 10.1017/S0269964817000407
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- Article
ANALYSIS OF MULTI-RESOURCE LOSS SYSTEM WITH STATE-DEPENDENT ARRIVAL AND SERVICE RATES.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. 413, doi. 10.1017/S0269964817000079
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- Article
PES volume 31 issue 4 Cover and Front matter.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. f1, doi. 10.1017/S0269964817000390
- Publication type:
- Article
FINDING EXPECTED REVENUES IN G-NETWORK WITH SIGNALS AND CUSTOMERS BATCH REMOVAL.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. 561, doi. 10.1017/S0269964817000274
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- Article
RANDOM NEURAL NETWORK LEARNING HEURISTICS.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. 436, doi. 10.1017/S0269964817000201
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- Article
THE RANDOM NEURAL NETWORK FOR COGNITIVE TRAFFIC ROUTING AND TASK ALLOCATION IN NETWORKS AND THE CLOUD.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. 540, doi. 10.1017/S0269964817000183
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- Article
G-NETWORKS AND THEIR APPLICATIONS TO MACHINE LEARNING, ENERGY PACKET NETWORKS AND ROUTING: INTRODUCTION TO THE SPECIAL ISSUE.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. 381, doi. 10.1017/S0269964817000171
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- Article
ECHO STATE QUEUEING NETWORKS: A COMBINATION OF RESERVOIR COMPUTING AND RANDOM NEURAL NETWORKS.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. 457, doi. 10.1017/S0269964817000110
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- Article
A MARKOV-MODULATED DIFFUSION MODEL FOR ENERGY HARVESTING SENSOR NODES.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. 505, doi. 10.1017/S0269964817000158
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- Article
OPTIMUM ENERGY FOR ENERGY PACKET NETWORKS.
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- Probability in the Engineering & Informational Sciences, 2017, v. 31, n. 4, p. 516, doi. 10.1017/S0269964817000067
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- Article