Intelligent Information Processing XII
13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3–6, 2024, Proceedings, Part II
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Nanobody immobilization on magnetic nanoparticles via monomeric streptavidin-biotin specific interaction for aflatoxin adsorption
A new magnetic aflatoxin (AF) adsorbent was synthesized by nanobody (Nb28) immobilization on magnetic nanoparticles (MNPs). Monomeric streptavidin (mSA)-biotin specific interaction technology was used as a lin...
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Article
Association of Zinc Intake, Tobacco Smoke Exposure, With Metabolic Syndrome: Evidence from NHANES 2007–2018
The objective was to explore the effect modification of zinc (Zn) intake levels on the relationship of tobacco smoke exposure and risk of metabolic syndrome (MetS) in children and adolescents. We used data fro...
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Article
Open AccessActive broad learning with multi-objective evolution for data stream classification
In a streaming environment, the characteristics and labels of instances may change over time, forming concept drifts. Previous studies on data stream learning generally assume that the true label of each insta...
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Optimizing electric vehicle routing with nonlinear charging and time windows using improved differential evolution algorithm
In real-life, green logistics is prevalent with the advent of pollution reduction; therefore, electric vehicle routing problem (EVRP) gains more focus. However, nonlinear charging technique has not obtained ad...
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Chapter and Conference Paper
Graph Convolutional Networks for Predicting Mechanical Characteristics of 3D Lattice Structures
Recent advancements in deep learning methods encouraged researchers to apply them to process 3D objects. Initially, convolutional neural networks which have shown their ability in the processing of 2D images w...
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Book and Conference Proceedings
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Chapter and Conference Paper
3D Object Reconstruction with Deep Learning
Recent advancements and breakthroughs in deep learning have accelerated the rapid development in the field of computer vision. Having recorded a huge success in 2D object perception and detection, a lot of pro...
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Chapter and Conference Paper
Hand Gesture Recognition Using a Multi-modal Deep Neural Network
As devices around us get more intelligent, new ways of interacting with them are sought to improve user convenience and comfort. While gesture-controlled systems have existed for some time, they either use add...
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Book and Conference Proceedings
Intelligent Information Processing XII
13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3–6, 2024, Proceedings, Part I
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Chapter and Conference Paper
Decomposed Multi-objective Method Based on Q-Learning for Solving Multi-objective Combinatorial Optimization Problem
Neural combinatorial optimization has emerged as a promising technique for combinatorial optimization problems. However, the high representation of deep learning inevitably requires a lot of training overhead ...
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Article
Magnetic surface molecularly imprinted polymers for efficient selective recognition and targeted separation of daidzein
Daidzein, a naturally occurring source of estrogenic isoflavones, holds significant promise for various applications in food and drug development. Therefore, to realize efficient and precise daidzein separatio...
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Article
Retraction Note: Fusaric acid detoxification: a strategy of Gliocladium roseum involved in its antagonism against Fusarium verticillioides
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Article
Open AccessA hybrid algorithm based on state-adaptive slime mold model and fractional-order ant system for the travelling salesman problem
The ant colony optimization (ACO) is one efficient approach for solving the travelling salesman problem (TSP). Here, we propose a hybrid algorithm based on state-adaptive slime mold model and fractional-order ...
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Energy-aware Integrated Scheduling for Container Terminals with Conflict-free AGVs
For automated container terminals, the effective integrated scheduling of different kinds of equipment such as quay cranes (QCs), automated guided vehicles (AGVs), and yard cranes (YCs) is of great significanc...
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Article
Biological survival optimization algorithm with its engineering and neural network applications
This study proposes a novel and lightweight bio-inspired computation technique named biological survival optimizer (BSO), which simulates the escape behavior of prey in the natural environment. This algorithm ...
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Article
Open AccessAn environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems
In dynamic multi-objective optimization problems, the environmental parameters may change over time, which makes the Pareto fronts shifting. To address the issue, a common idea is to track the moving Pareto fr...
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Article
A reconstruction method for cross-cut shredded documents based on the extreme learning machine algorithm
Reconstruction of cross-cut shredded text documents (RCCSTD) has important applications for information security and judicial evidence collection. The traditional method of manual construction is a very time-c...
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Article
Open AccessBirth weight influences differently on systolic and diastolic blood pressure in children and adolescents aged 8–15
Globally, hypertension is one of the main threats to public health and a significant risk factor predisposing individuals to various cardiovascular conditions. Hypertension in the young is particularly complex...
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Article
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica
The implementation of deep learning-based computer-aided diagnosis systems for the classification of mammogram images can help in improving the accuracy, reliability, and cost of diagnosing patients. However, ...
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Article
RETRACTED ARTICLE: Fusaric acid detoxification: a strategy of Gliocladium roseum involved in its antagonism against Fusarium verticillioides
