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Crossover health uniform
Crossover health uniform











Khosravy M, Gupta N, Marina N, Sethi IK, Asharif MR (2017) Brain action inspired morphological image enhancement. Khosravy M, Gupta N, Marina N, Sethi IK, Asharif MR (2017) Perceptual adaptation of image based on chevreul-mach bands visual phenomenon. Int J Electr Power Energy Syst 116:105–554 Picorone AA, de Oliveira TR, Sampaio-Neto R, Khosravy M, Ribeiro MV (2020) Channel characterization of lowvoltage electric power distribution networks for plc applications based on measurement campaign. Int J Ambient Comput Intell (ACI) 9(1), 19–42 Yamin M, Abi Sen AA (2018) Improving privacy and security of user data in location based services. Gutierrez CE, Alsharif PMR, Khosravy M, Yamashita PK, Miyagi PH, Villa R (2014) “Main large data set features detection by a linear predictor model,” in AIP conference proceedings. Int J Ambient Comput Intell (ACI) 5(2):56–69 Int J Electr Power Energy Syst 118:105 731īaumgarten M, Mulvenna MD, Rooney N, Reid J (2013) Keyword based sentiment mining using twitter.

crossover health uniform

Santos E, Khosravy M, Lima MA, Cerqueira AS, Duque CA (2020) Esprit associated with filter bank for power-line harmonics, sub-harmonics and inter-harmonics parameters estimation. Santos E, Khosravy M, Lima MA, Cerqueira AS, Duque CA, Yona A (2019) High accuracy power quality evaluation under a colored noisy condition by filter bank esprit. In: 4th international conference on information technology and intelligent transportation systems.

#Crossover health uniform code#

Melo K, Khosravy M, Duque C, Dey N (2020) Chirp code deterministic compressive sensing: analysis on power signal.

crossover health uniform

Int J Ambient Comput Intell (ACI) 5(1):1–18 Int J Ambient Comput Intell (ACI) 12(1):73–113įoth M, Schroeter R, Ti J (2013) Opportunities of public transport experience enhancements with mobile services and urban screens. Tiwari BN, Kibinde JK, Gupta N, Khosravy M, Bellucci S (2021) Optimization of optical instruments under fluctuations of system parameters. IEEE, pp 12–19Įiben ÁE, Hinterding R, Michalewicz Z (1999) Parameter control in evolutionary algorithms. In: Proceedings of 7th IEEE international conference on tools with artificial intelligence. Springer, pp 730–748Ĭollard P, Escazut C (1995) Genetic operators in a dual genetic algorithm. In: Proceedings of the future technologies conference. Gupta N, Patel N, Tiwari BN, Khosravy M (2018) Genetic algorithm based on enhanced selection and log-scaled mutation technique. Umbarkar AJ, Sheth PD (2015) Crossover operators in genetic algorithms: a review. VarunKumar S, Panneerselvam R (2017) A study of crossover operators for genetic algorithms to solve VRP and its variants and new sinusoidal motion crossover operator. In: Applications of firefly algorithm and its variants. Gupta N, Khosravy M, Mahela OP, Patel N (2020) Plant biologyinspired genetic algorithm: Superior efficiency to firefly optimizer. Gupta N, Khosravy M, Patel N, Sethi I (2018) Evolutionary optimization based on biological evolution in plants. Gupta N, Khosravy M, Patel N, Dey N, Mahela OP (2020) Mendelian evolutionary theory optimization algorithm.

crossover health uniform

International Association of Engineers Hong Kong, vol 2, pp 1–6īeasley D, Bull DR, Martin RR (1993) An overview of genetic algorithms: Part 1, fundamentals. In: Proceedings of the world congress on engineering. Razali NM, Geraghty J et al (2011) Genetic algorithm performance with different selection strategies in solving tsp. Earth Sci Infĭeb K (2012) Optimization for engineering design: algorithms and examples. Khosravy M, Gupta N, Dey N, Ger PM (2021) Smart green ocean underwater IoT network by ICA-based acoustic blind mimo of DM transceiver with analysis of acoustic channel sparsity and blind estimation efficinecy in data rate and energy consumption. Gupta N, Gupta S, Khosravy M, Dey N, Joshi N, Crespo RG, Patel N (2020) Economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles. Khosravy M, Gupta N, Patel N, Dey N, Nitta N, Babaguchi N (2020) Probabilistic stone’s blind source separation with application to channel estimation and multi-node identification in mimo IoT green communication and multimedia systems. Gupta N, Khosravy M, Patel N, Dey N, Gupta S, Darbari H, Crespo RG (2020) Economic data analytic AI technique on IoT edge devices for health monitoring of agriculture machines. Springer, pp 1–21Ĭhawda GS, Shaik AG, Shaik M, Padmanaban S, Holm-Nielsen JB, Mahela OP, Kaliannan P (2020) Comprehensive review on detection and classification of power quality disturbances in utility grid with renewable energy penetration. In: Applied nature-inspired computing: algorithms and case studies. Khosravy M, Gupta N, Patel N, Senjyu T, Duque CA (2020) Particle swarm optimization of morphological filters for electrocardiogram baseline drift estimation. Khosravy M, Gupta N, Patel N, Senjyu T (2020) Frontier applications of nature inspired computation. Dey N (2017) Advancements in applied metaheuristic computing.











Crossover health uniform