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Deep study on autonomous learning techniques for complex pattern recognition in interconnected information systems
Z Amiri, A Heidari, N Jafari, M Hosseinzadeh - Computer Science Review, 2024 - Elsevier
Abstract Artificial Intelligence (AI) and Machine Learning (ML) are being used more and
more to handle complex tasks in many different areas. As a result, interconnected …
more to handle complex tasks in many different areas. As a result, interconnected …
[HTML][HTML] Niclosamide piperazine solubility in supercritical CO2 green solvent: A comprehensive experimental and modeling investigation
In order to micro and Nano sizing a drug via supercritical fluid technology, it is necessary to
obtain its solubility in various ranges of pressures and temperatures. For this purpose …
obtain its solubility in various ranges of pressures and temperatures. For this purpose …
[HTML][HTML] Blockchain-driven supply chain analytics and sustainable performance: analysis using PLS-SEM and ANFIS
This study investigated the impact of blockchain-driven supply chain analytics on the
dimensions of lean, agile, resilient, green, and sustainable (LARGS) supply chain …
dimensions of lean, agile, resilient, green, and sustainable (LARGS) supply chain …
Evaluation of fracture indices of warm mix asphalt (WMA) modified with nano-additive under pure shear and pure tear deformations
Cracks located on the road edge and curve are two pavement crack types that can reduce
road safety. Providing a solution to control this type of crack can solve a large part of the …
road safety. Providing a solution to control this type of crack can solve a large part of the …
Use of AI in assembly line design and worker and equipment management: review and future directions
Abstract The integration of Artificial Intelligence (AI) in manufacturing is a transformation
towards increased operational efficiency, adaptability, and sustainability in response to the …
towards increased operational efficiency, adaptability, and sustainability in response to the …
New solubility data of Amoxapine (anti-depressant) drug in supercritical CO2: Application of cubic EoSs
M Tabebordbar, H Bagheri, MK Abosaoda… - Journal of Drug Delivery …, 2024 - Elsevier
The solubility of the anti-depressant drug, Amoxapine drug, in supercritical carbon dioxide
has been studied. The experiments were performed by the simple and static procedure at P …
has been studied. The experiments were performed by the simple and static procedure at P …
Improving the Mechanical Properties of Concrete Mixtures by Shape Memory Alloy Fibers and Silica Fume
Y ** in the Digital Age: A Temporal Fusion Framework for Analyzing Discourse Fragmentation in Online Social Networks
This research presents a framework for analyzing the dynamics of online communities in
social media platforms, utilizing a temporal fusion of text and network data. By combining …
social media platforms, utilizing a temporal fusion of text and network data. By combining …
Analyzing long-term parking preferences at Imam Khomeini International Airport: a stated preference approach
This paper employed a stated preference approach to examine the long-term parking
preferences of passengers at Imam Khomeini International Airport, with a particular focus on …
preferences of passengers at Imam Khomeini International Airport, with a particular focus on …
Light and normal weight concretes shear strength estimation using tree-based tunned frameworks
H Kou, J Quan, S Guo, E Hassankhani - Construction and Building …, 2024 - Elsevier
Concrete component shear strength is a complex phenomenon that depends on a number
of governing bodies and regulatory mechanisms. Moreover, the addition of new concrete …
of governing bodies and regulatory mechanisms. Moreover, the addition of new concrete …