Experimental investigation and proposal of artificial neural network models of lead and cadmium heavy metal ion removal from water using porous nanomaterials
This study used porous nanomaterials MCM-41 and SBA-15, as well as their modified
species, to remove lead and cadmium ions from water. We used X-ray diffraction (XRD), a …
species, to remove lead and cadmium ions from water. We used X-ray diffraction (XRD), a …
Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights
Plagiarism detection (PD) in natural language processing involves locating similar words in
two distinct sources. The paper introduces a new approach to plagiarism detection utilizing …
two distinct sources. The paper introduces a new approach to plagiarism detection utilizing …
Strategic sustainability practices in intercropping-based family farming systems: Study on rural communities of Iran
This paper reports a realistic analysis of a region using Grounded Theory (GT) to provide a
sustainable model for family farming systems based on the intercropping system in rural …
sustainable model for family farming systems based on the intercropping system in rural …
Content-based Image Retrieval: A Survey on Local and Global Features Selection, Extraction, Representation and Evaluation Parameters
In the era of massive data production through the internet and social media, the volume of
images generated is immense. Storing and retrieving relevant images efficiently pose …
images generated is immense. Storing and retrieving relevant images efficiently pose …
Examining the microstructure, morphological features, and wetting characteristics of Ti/TiN/TiAlN thin films produced through RF/DC magnetron co-sputtering
This study reports synthesizing and characterizing Ti/TiN/TiAlN thin films deposited on 316 L
stainless steel and silicon wafer substrates using the reactive RF/DC magnetron sputtering …
stainless steel and silicon wafer substrates using the reactive RF/DC magnetron sputtering …
Integrating image processing and machine learning for the non-destructive assessment of RC beams damage
Non-destructive testing (NDT) is a crucial method for detecting damages in concrete
structures. Structural damage can lead to functional changes, necessitating a range of …
structures. Structural damage can lead to functional changes, necessitating a range of …
Investigating the Use of AI-Generated Exercises for Beginner and Intermediate Programming Courses: A ChatGPT Case Study
In recent years, artificial intelligence (AI) has been increasingly used in education and
supports teachers in creating educational material and students in their learning progress. AI …
supports teachers in creating educational material and students in their learning progress. AI …
Artificial intelligence and applications
J Jha, AK Vishwakarma, N Chaithra… - 2023 1st …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) has been employed since the 1950s in a number of industries,
including manufacturing, logistics, finance, and healthcare. AI is being utilised more and …
including manufacturing, logistics, finance, and healthcare. AI is being utilised more and …
A cloud service composition method using a fuzzy-based particle swarm optimization algorithm
In today's dynamic business landscape, organizations heavily rely on cloud computing to
leverage the power of virtualization and resource sharing. Service composition plays a vital …
leverage the power of virtualization and resource sharing. Service composition plays a vital …
Reduced-dimension surrogate modeling to characterize the damage tolerance of composite/metal structures
C Arndt, C Crusenberry, B Heng, R Butler, S TerMaath - Modelling, 2023 - mdpi.com
Complex engineering models are typically computationally demanding and defined by a
high-dimensional parameter space challenging the comprehensive exploration of parameter …
high-dimensional parameter space challenging the comprehensive exploration of parameter …