Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Mohsen SOORI"'
Publikováno v:
Data Science and Management, Vol 7, Iss 1, Pp 47-63 (2024)
Virtual manufacturing is one of the key components of Industry 4.0, the fourth industrial revolution, in improving manufacturing processes. Virtual manufacturing enables manufacturers to optimize their production processes using real-time data from s
Externí odkaz:
https://doaj.org/article/4e84db6649fe474d8a36dea04e716eef
Publikováno v:
Sustainable Operations and Computers, Vol 5, Iss , Pp 73-87 (2024)
To minimize the quantities of carbon emissions produced by the production process, sustainable manufacturing should be implemented. CNC machining operations can be made more sustainable by optimizing machining parameters to reduce material waste and
Externí odkaz:
https://doaj.org/article/5f6782095ce1417d98a8115de538234e
Autor:
Mohsen Soori, Seyed Hadi Mirhashemi, Fariborz Rashnoo, Gholamhosein Faghih, Fatemeh Ehrahimi, Amir Zamani, Azadeh Hakakzadeh
Publikováno v:
Caspian Journal of Internal Medicine, Vol 15, Iss 1, Pp 52-57 (2024)
Background: Obesity is one the most prevalent diseases all around the world. Some studies have shown a relationship between obesity and the worsening of rheumatic disorders. Higher rates of surgical complications might also be seen among these patien
Externí odkaz:
https://doaj.org/article/50c52617f78d4a54854d87b7f17c5af2
Publikováno v:
Journal of Economy and Technology, Vol 1, Iss , Pp 179-196 (2023)
Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired by the structure and function of the human brain. In the context of supply chain management, ANNs can be used for demand forecasting, inventory optimization, logistic
Externí odkaz:
https://doaj.org/article/e8c9194193774d01b3340ca48ae56e76
Publikováno v:
Journal of Economy and Technology, Vol 1, Iss , Pp 222-241 (2023)
Artificial Intelligence (AI) algorithms can be employed to enhance the security of the blockchain networks in the era of industry 4.0. Smart contracts, powered by blockchain, can be developed by using the AI capabilities. These contracts can execute
Externí odkaz:
https://doaj.org/article/2ba72751cb7c480f9b00c28d998230b5
Autor:
Mohsen SOORI
Publikováno v:
Journal of Materials and Engineering Structures, Vol 10, Iss 2, Pp 249-272 (2023)
Composite materials are used to produce multi-objective structures such as fluid reservoirs, transmission pipes, heat exchangers, pressure vessels due to high strength and stiffness to density ratios and improved corrosion resistance. The mathematica
Externí odkaz:
https://doaj.org/article/961dd19ff57e42b0b0094829e4f37e5c
Publikováno v:
Results in Surfaces and Interfaces, Vol 14, Iss , Pp 100208- (2024)
The quality of machined part surfaces are under the impact of scallop height which should be analyzed and minimized. Achieving a uniform scallop-height is important for ensuring a smooth surface finish and maintaining consistent material removal acro
Externí odkaz:
https://doaj.org/article/a5eea5bd1ca6458eaf997795366824c2
Publikováno v:
Sustainable Manufacturing and Service Economics, Vol 3, Iss , Pp 100026- (2024)
The integration of blockchain technology in the Industrial Internet of Things (IIoT) for sustainable supply chain management in the context of Industry 4.0 offers several potential benefits. A public and auditable record of the environmental impact o
Externí odkaz:
https://doaj.org/article/283349cbc53344a381da8233d3d4176f
Publikováno v:
Internet of Things and Cyber-Physical Systems, Vol 3, Iss , Pp 192-204 (2023)
The Internet of Things (IoT) is playing a significant role in the transformation of traditional factories into smart factories in Industry 4.0 by using network of interconnected devices, sensors, and software to monitor and optimize the production pr
Externí odkaz:
https://doaj.org/article/690430a2f16b4a108cbbcb57c1fd7ed3
Publikováno v:
Cognitive Robotics, Vol 3, Iss , Pp 142-157 (2023)
Optimization of energy consumption in industrial robots can reduce operating costs, improve performance and increase the lifespan of the robot during part manufacturing. Choosing energy-efficient components such as motors, drives, and controllers can
Externí odkaz:
https://doaj.org/article/4b0914e7f0c34757898fd4488e628075