Описание: Smart Contract Derivatives.- Bitcoin Crypto-Bounties for Quantum Capable Adversaries.- An Econophysical Analysis of the Blockchain Ecosystem.- Stress Testing Diversified Portfolios: The Case of the CoinShares Gold and Cryptoassets Index.- Selfish Mining in Ethereum.- The Speculative (In)Efficiency of the CME Bitcoin Futures Market.- Carbon Trading with Blockchain.- Economic Games as Estimators.- Promise: Leveraging Future Gains for Collateral Reduction.- Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price
Topological analysis of bitcoin's lightning network.- Token locking for governance.- Collusion attack from hubs in the blockchain offline channel network.- Sharing of encrypted files in block chain made simpler.- Digital currencies: A multivariate GARCH approach.- Compact storage of superblocks for NIPoPoW applications.- On comparing the Influences of exogenous information on bitcoin prices and stock index values.- Performance of tip selection schemes in DAG blockchains.- Committing to quantum resistance, better: A speed-and-risk-configurable defence for bitcoin against a fast quantum computing attack.- Neural networks for cryptocurrency evaluation and price fluctuation forecasting.- Decentralized incentive-compatible and sybilproof transaction advertisement.- PoolSim: A discrete-event mining pool simulation framework.- Oceanic games: centralization risks and incentives in blockchain mining.- Smart contract-driven mechanism design to mitigate information diffusion in social networks.- Balancing cryptoassets and gold: A weighted-risk-contribution index for the alternative asset space.- An introduction to the use of zk-SNARKs in blockchains.
Topological analysis of bitcoin's lightning network.- Token locking for governance.- Collusion attack from hubs in the blockchain offline channel network.- Sharing of encrypted files in block chain made simpler.- Digital currencies: A multivariate GARCH approach.- Compact storage of superblocks for NIPoPoW applications.- On comparing the Influences of exogenous information on bitcoin prices and stock index values.- Performance of tip selection schemes in DAG blockchains.- Committing to quantum resistance, better: A speed-and-risk-configurable defence for bitcoin against a fast quantum computing attack.- Neural networks for cryptocurrency evaluation and price fluctuation forecasting.- Decentralized incentive-compatible and sybilproof transaction advertisement.- PoolSim: A discrete-event mining pool simulation framework.- Oceanic games: centralization risks and incentives in blockchain mining.- Smart contract-driven mechanism design to mitigate information diffusion in social networks.- Balancing cryptoassets and gold: A weighted-risk-contribution index for the alternative asset space.- An introduction to the use of zk-SNARKs in blockchains.
Описание: This book constitutes the proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in Novosibirsk, Russia, in July 2020. The 31 full papers presented in this volume were carefully reviewed and selected from 102 submissions.
Описание: This book constitutes refereed proceedings of the 20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021, held in Irkutsk, Russia, in July 2021. The 31 full papers and 3 short papers presented in this volume were carefully reviewed and selected from a total of 102 submissions.
Описание: This book constitutes the proceedings of the 20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021, held in Irkutsk, Russia, in July 2021. The 29 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 102 submissions.
Описание: Chapter 1. Maximum matching in Koch Snowflake and Sierpenski Triangle.- Chapter 2. A Study of Stochastic Ecological Model with Prey Harvesting as a Tool of Disease Control.- Chapter 3. Eccentric Distance Sum in Graph of Chemical Compounds Using Domination.- Chapter 4. Analysis of Sierpinski Triangle Based on Fuzzy Triangular Numbers and Dihedral Group.- Chapter 5. Near-Optimal Cable Layout Design Of A Wind Farm Using Genetic Algorithm.- Chapter 6. Inventory Cost Estimation Using Brownian Motion.- Chapter 7. Applying negative association rule utilizing unsupervised machine learning.- Chapter 8. Integrated network of Pearson correlation coefficients, Kendal-Tao, Spearman-Rao and its impact on disease, health indicators and mortality ratings in Babil Province.- Chapter 9. The Estimate Function of Schrцdinger Operator.- Chapter 10. E- Learning In Data Analytics on Basis of Rule Mining Prediction in Data Mining Environment.- Chapter 11. Determination on Apriori and clustering algorithms based on crime against female Permanency- Prediction in Tamil Nadu State.- Chapter 12. IoT Implementation at Global Enterprises for Progressive Human resource Practices.- Chapter 13. An Empirical Study of Heart Disease Prediction System Using Various Machine Learning Classification Algorithms.- Chapter 14. FPGA Implementation of Scaled "Quasi-Cyclic LDPC" Decoder Using High-Level Synthesis.- Chapter 15. Automatic Road Enforcement Detection System Using Intelligent Robust Fuzzy Trained Stochastic Neural Network.
Описание: This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing.
Описание: This book constitutes the proceedings of the 7th International Conference on Mathematical Software, ICMS 2020, held in Braunschweig, Germany, in July 2020.
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