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Relevant bibliographies by topics / Giza Pyramids construction algorithm

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Academic literature on the topic 'Giza Pyramids construction algorithm'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Giza Pyramids construction algorithm"

1

Omar, Asmaa Hekal, Naglaa M. Mostafa, Abeer S. Desuky, and Lamiaa M. El Bakrawy. "An enhanced Giza Pyramids construction for solving optimization problems." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 5 (2024): 5672. http://dx.doi.org/10.11591/ijece.v14i5.pp5672-5680.

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Many real-world optimization problems can be solved by various algorithms that are not fast in convergence or gain enough accuracy. Meta-heuristic algorithms are used to solve optimization problems and have achieved their effectiveness in solving several real-world optimization problems. Meta-heuristic algorithms try to find the best solution out of all available solutions in the possible shortest time. A good meta-heuristic algorithm is characterized by its accuracy, convergence speed, and ability to solve high dimensions’ problems. Giza Pyramids construction (GPC) has recently been introduce

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2

NALLANTI, VENKATESWARARAO. "BINARIZED SPIKING NEURAL NETWORK OPTIMIZED WITH GIZA PYRAMIDS CONSTRUCTION OPTIMIZATION ALGORITHM FOSTERED MELANOMA CLASSIFICATION FROM DERMOSCOPIC IMAGES." Journal of Tianjin University 56, no. 08 (2023): 125–42. https://doi.org/10.5281/zenodo.8255821.

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<strong>Abstract</strong> Melanoma is the major cause for death worldwide also called malignant skin cancer. Early diagnosis of melanoma by dermatoscopy particularly improves survival. However, exact detection of melanoma is very difficult for following reasons. Low contrast among lesions and skin, visually similar among melanoma and non-melanoma lesions, etc. Reliable, automated diagnosis of skin tumors would therefore greatly help improve accuracy and efficacy of pathologists.  Here, Binarized Spiking Neural Network optimized with Giza Pyramids Construction Optimization&n

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Harifi, Sasan, Faraz Davachi, Narges Mohammadi, and Soheil FaridMohammadzadegan. "Two competitive hybridization approaches based on combining of Giza Pyramids Construction with Particle Swarm Optimization for solving global optimization problems." Inteligencia Artificial 28, no. 75 (2025): 114–39. https://doi.org/10.4114/intartif.vol28iss75pp114-139.

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Optimization problems are complex problems that are very difficult to solve. Although these types of problems are solved in the real world using exact methods, these methods are very time-consuming and costly. By using soft computing methods, the time and cost of problem-solving can be reduced to some extent. Engineering problems are among the complex real-world problems that can be solved through soft computing methods. One of these methods is the use of metaheuristic algorithms to optimize the solution of these types of problems. The Particle Swarm Optimization (PSO) algorithm is a common an

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4

Aribowo, Widi, Supari Supari, and Bambang Suprianto. "Optimization of PID parameters for controlling DC motor based on the aquila optimizer algorithm." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 1 (2022): 216. http://dx.doi.org/10.11591/ijpeds.v13.i1.pp216-222.

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This study presents the application of the aquila optimizer (AO) algorithm to determine the parameters of the proportional integral derivative (PID) controller to control the speed of a dc motor. The AO method is inspired by the most popular bird of prey in the northern hemisphere named Aquila. Initially, the proposed AO algorithm is applied to unimodal and multimodal benchmark optimization problems. To get the performance of the AO method, the controller is compared with other methods, namely Seagull optimization algorithm (SOA), marine predators algorithm, giza pyramids construction (GPC), a

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5

Widi, Aribowo, Supari, and Suprianto Bambang. "Optimization of PID parameters for controlling DC motor based on the aquila optimizer algorithm." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 1 (2022): 216–22. https://doi.org/10.11591/ijpeds.v13.i1.pp216-222.

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This study presents the application of the aquila optimizer (AO) algorithm to determine the parameters of the proportional integral derivative (PID) controller to control the speed of a dc motor. The AO method is inspired by the most popular bird of prey in the northern hemisphere named Aquila. Initially, the proposed AO algorithm is applied to unimodal and multimodal benchmark optimization problems. To get the performance of the AO method, the controller is compared with other methods, namely Seagull optimization algorithm (SOA), marine predators algorithm, giza pyramids construction (GPC), a

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6

Aribowo, Widi, Supari Muslim, and Bambang Suprianto. "A hunger game search algorithm for economic load dispatch." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 2 (2022): 632. http://dx.doi.org/10.11591/ijai.v11.i2.pp632-640.

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This work proposes a new approach to solve the economic load dispatch (ELD) issue in power systems by metaheuristic algorithms inspired by natural life. The problem to be resolved is to optimize the power system network with various constraints by considering the cutting in the cost of the resulting in the transmission of the electric system. The method used in this study is the hunger games search (HGS). This method duplicates the hungerdriven activity and the animal's choice of behavior. The proposed method is to add the concept of starvation as a process structure. Adaptive weights based on

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7

Widi, Aribowo, Supari, and Suprianto Bambang. "A hunger game search algorithm for economic load dispatch." International Journal of Artificial Intelligence (IJ-AI) 11, no. 2 (2022): 632–40. https://doi.org/10.11591/ijai.v11.i2.pp632-640.

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This work proposes a new approach to solve the economic load dispatch (ELD) issue in power systems by metaheuristic algorithms inspired by natural life. The problem to be resolved is to optimize the power system network with various constraints by considering the cutting in the cost of the resulting in the transmission of the electric system. The method used in this study is the hunger games search (HGS). This method duplicates the hungerdriven activity and the animal's choice of behavior. The proposed method is to add the concept of starvation as a process structure. Adaptive weights base

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8

B. D., Darshan, and Prashanth C. R. "Dual-discriminator Conditional Generative Adversarial Network Optimized with Hybrid Momentum Search Algorithm and Giza Pyramids Construction Algorithm for Cluster-based Routing in WSN Assisted IoT." International Journal of Computer Network and Information Security 15, no. 5 (2023): 96–112. http://dx.doi.org/10.5815/ijcnis.2023.05.09.

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Wireless sensor network (WSN) efficiently sends and receives the data on the internet of things (IoT) environment. As a large-scale WSN's nodes are powered by batteries, it is essential to create an energy-efficient system to decrease energy consumption and increase the network's lifespan. The existing methods not present effectual cluster head (CH) selection and trust node computation. Therefore, dual-discriminator conditional generative adversarial network optimized with a hybrid Momentum search algorithm and Giza Pyramids Construction algorithm for Cluster Based Routing in WSN Assisted IoT

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9

Kharrich, Mohammed, Salah Kamel, Ali S. Alghamdi, et al. "Optimal Design of an Isolated Hybrid Microgrid for Enhanced Deployment of Renewable Energy Sources in Saudi Arabia." Sustainability 13, no. 9 (2021): 4708. http://dx.doi.org/10.3390/su13094708.

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Hybrid microgrids are presented as a solution to many electrical energetic problems. These microgrids contain some renewable energy sources such as photovoltaic (PV), wind and biomass, or a hybrid of these sources, in addition to storage systems. Using these microgrids in electric power generation has many advantages such as clean energy, stability in supplying power, reduced grid congestion and a new investment field. Despite all these microgrids advantages, they are not widely used due to some economic aspects. These aspects are represented in the net present cost (NPC) and the levelized cos

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Nssibi, Maha, Ghaith Manita, and Ouajdi Korbaa. "Binary Giza Pyramids Construction For Feature Selection." Procedia Computer Science 192 (2021): 676–87. http://dx.doi.org/10.1016/j.procs.2021.08.070.

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Books on the topic "Giza Pyramids construction algorithm"

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Matthews, Sheelagh. Pyramids of Giza. Weigl Publishers, 2007.

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Gandon, Guy. Khéops, trois clés pour une énigme: Magie des nombres, carnet de notes, photographies et plans. France Europe éditions livres, 2006.

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Creighton, Scott. The Giza prophecy: The Orion code and the secret teachings of the pyramids. Bear & Co., 2012.

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Kate, Harper, Eagle Rock Entertainment, and Films for the Humanities (Firm), eds. Ancient Egypt. Films for the Humanities & Sciences, 2002.

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Brier, Bob. The secret of the great pyramid: How one man's obsession led to the solution of ancient Egypt's greatest mystery. Smithsonian Books/Harper, 2009.

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Lawton, Ian. Giza, the truth: The people, politics and history behind the world's most famous archaeological site. Invisible Cities Press, 2001.

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Hai, Paul. Raising stone 1: Paul Hai's racks & pinions theory. Paul Hai, 2007.

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WNET (Television station : New York, N.Y.) and Public Broadcasting Service (U.S.), eds. Secrets of the pharaohs. Thirteen WNET, 2001.

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Yoshimura, Sakuji, and Tomoyuki Osato. Egypt: Journey to the global civilization. Films for the Humanities & Sciences, 2003.

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Benavides, Rodolfo. Dramáticas profecías de la Gran Pirámide. Diana, 2009.

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Book chapters on the topic "Giza Pyramids construction algorithm"

1

Bhattacharya, Debolina, and Tapas Si. "Giza Pyramids Construction Algorithm with Centroid Opposition-Based Learning." In Algorithms for Intelligent Systems. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5747-4_19.

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Campos, Paul F. "Rationalization and its Discontents." In Jurismania. Oxford University PressNew York, NY, 1998. http://dx.doi.org/10.1093/oso/9780195107852.003.0005.

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Abstract Six thousand years ago, the peoples of the Nile valley began to bury their dead in ways that indicated they believed the departed would go on to an afterlife. At first, such rituals were limited to including a few household implements inside the modest burial sites within which the corpses were placed. Then followed the practice of mummification to preserve the body itself, and the gradual elaboration of the place of burial. Eventually these practices culminated in the building of enormous tombs for persons of high social rank, a practice that itself reached its apogee with the constr

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Meurig Thomas, John. "Egyptomania at the RI." In Albemarle Street. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192898005.003.0009.

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Ever since Napoleon invaded Egypt in 1798, there has been enormous interest in the civilization of the ancient Egyptians, that has lasted more than six millennia. There were many early Discourses in the RI on the nature and unwrapping of Egyptian mummies. There were also speculations about the construction and dimensions of the famous Giza pyramids, especially that known as Khufu. Some of the speculations turned out to be bizarre. The highlight of this chapter, however, is a summary of the account that Howard Carter gave at the RI in 1925 when he described his discovery, and the contents of th

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Conference papers on the topic "Giza Pyramids construction algorithm"

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Mejia, Juan Gabriel V., Kendrell Derek P. Acibar, Ariel Antwaun Rolando C. Sison, et al. "Modified Support Vector Machine using Giza Pyramids Construction Algorithm." In ICCTA 2022: 2022 8th International Conference on Computer Technology Applications. ACM, 2022. http://dx.doi.org/10.1145/3543712.3543741.

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Mouleloued, Y., K. Kara, and A. Chouder. "Parameters Extraction of Photovoltaic Module Using Giza Pyramid Construction Optimization Algorithm." In 2022 2nd International Conference on Advanced Electrical Engineering (ICAEE). IEEE, 2022. http://dx.doi.org/10.1109/icaee53772.2022.9962083.

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