240,542 Result(s)
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Chapter and Conference Paper
Towards a Daily Agent-Based Transport System Model for Microscopic Simulation, Based on Peak Hour O-D Matrices
This paper presents the development of a daily, large scale, agent-based microscopic transport simulation integrating diverse data-structures and including the following transport modes: car, bus, bicycle, mot...
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Chapter and Conference Paper
Reinforcement Learning-Based Differential Evolution Algorithm with Levy Flight
In this paper, a reinforcement learning-based differential evolution algorithm with levy flight strategy (RLLDE) for solving optimization problems is proposed. It introduces a novel mutation mode considering s...
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Chapter and Conference Paper
Taking Advantage of Depth Information for Semantic Segmentation in Field-Measured Vineyards
RGB-D cameras mounted on moving agricultural robotic platforms provide detailed information about both appearance and volume of plants. Those images can be analysed by means of deep segmentation models; howeve...
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Chapter and Conference Paper
Cross-channel Image Steganography Based on Generative Adversarial Network
Traditional steganographic algorithms often suffer from issues such as low visual quality and limited resilience against steganalysis at high-capacity data embedding. To address these limitations, this paper p...
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Chapter and Conference Paper
Efficacy of Papworth Method to Improve Quality of Life and Exercise Tolerance in Asthma
One of the chronic inflammatory diseases is asthma, which manifests symptoms like breathlessness, coughing, wheezing, and chest tightness also, commonly at night or in the early morning. Papworth method is eas...
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Chapter and Conference Paper
Persuasive Systems Features in Digital Health Interventions for Diabetes Management: A Sco** Review
Type 2 diabetes mellitus (T2DM) is a global health problem. Studies have shown that using mobile applications can help reduce the burden of this disease and contribute to its self-management. However, there is...
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Chapter and Conference Paper
Evidence of Increased Adaptation of Omicron SARS-CoV-2 Codons to Humans
Viruses are highly dependent on their hosts to carry out cellular mechanisms and cause productive infection. Thus, they undergo extensive adaptations to the host intracellular machinery, which occur over the e...
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Chapter and Conference Paper
Truncated Order Reduction Methods for Discrete Linear Periodic Time-Varying Systems
In this paper, for the model downgrading problem of single-input single-output (SISO) discrete linear periodic time-varying systems, a truncated order reduction method for the time-varying structure of the per...
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Chapter
Computer Network Security Fundamentals
In this chapter, we give a general definition of the state of security in any environment and then localize this security concept in a computer network. In doing this, the chapter focuses on the computer netwo...
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Chapter and Conference Paper
Attention in Virtual Environments: Behavior in Locations Shapes Spatial Connectivity
Unlike connections of physical spaces typically observed through movement trajectory, connections of virtual spaces can be observed in high resolution through vision-based trajectory. Studies have explored use...
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Chapter and Conference Paper
Tripartite Architecture License Plate Recognition Based on Transformer
Under natural conditions, license plate recognition is easily affected by factors such as lighting and shooting angles. Given the diverse types of Chinese license plates and the intricate structure of Chinese ...
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Chapter and Conference Paper
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation
Interactive medical image segmentation refers to the accurate segmentation of the target of interest through interaction (e.g., click) between the user and the image. It has been widely studied in recent years...
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Chapter and Conference Paper
Predictive Analytics a Silver Bullet for a Pandemic – A Systematic Literature Review
Predictive analytics entails using historical data combined with statistical modelling, data mining and machine learning to determine the future outcome. Modern organisations are inundated with large volumes o...
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Chapter and Conference Paper
What is a Proper Face Registration for Face Recognition?
Face recognition systems have now made significant progress. In practice, we may face the important question of what is a better face registration for a typical face recognition algorithm, but this problem has...
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Chapter and Conference Paper
Construction of English Word Collocation Error Analysis System Based on Fuzzy Clustering Algorithm
Collocation is a central aspect of vocabulary learning. Collocation can broaden and deepen the understanding of vocabulary. In English learning, learners should pay attention to the characteristics of words in...
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Chapter
Federated Learning for Autonomous Vehicles Control
The deployment of future intelligent transportation systems is contingent upon seamless and reliable operation of connected and autonomous vehicles (CAVs). One key challenge in develo** CAVs is the design of...
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Chapter and Conference Paper
Research and Implementation of Music Recommendation System Based on Particle Swarm Algorithm
The role and significance of recommendation system in music teaching is very important, but there is a problem of low management level. The recommendation system cannot solve the problem of processing multi-no...
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Chapter and Conference Paper
Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations
Many engineering applications rely on simulations based on partial differential equations. Different numerical schemes to approximate solutions exist. These schemes typically require setting parameters to appr...
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Chapter and Conference Paper
Telework Frequency, Media Use and Knowledge Sharing in the USA During COVID-19
This study investigates the interplay between telework frequency, communication media, and knowledge sharing during telework brought about by COVID-19 in the United States. Analyzing data from 614 participants...
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Chapter and Conference Paper
Investigating Calibrated Classification Scores Through the Lens of Interpretability
Calibration is a frequently invoked concept when useful label probability estimates are required on top of classification accuracy. A calibrated model is a function whose values correctly reflect underlying la...
