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Chapter
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Computer Systems Organization and Communication Networks
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Chapter and Conference Paper
Efficient Proactive Resource Allocation for Multi-stage Cloud-Native Microservices
Microservices deployment in the cloud often faces a prevalent challenge: how to maximize resource utilization while maintaining high quality-of-service (QoS). Existing automatic scaling tools frequently exhibi...
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Chapter and Conference Paper
Abstracts Embeddings Evaluation: A Case Study of Artificial Intelligence and Medical Imaging for the COVID-19 Infection
During the COVID-19 pandemic, a huge amount of literature was produced covering different aspects of infection. The use of artificial intelligence (AI) in medical imaging has been shown to improve screening, d...
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Chapter and Conference Paper
Towards Resource-Efficient DNN Deployment for Traffic Object Recognition: From Edge to Fog
The paper focuses on the challenges associated with deploying deep neural networks (DNNs) for the recognition of traffic objects using the camera of Android smartphones. The main objective of this research is ...
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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
A Deep Learning Model for Visual Sentiment Analysis of Social Media
Visual sentiment analysis seeks to comprehend the emotional responses that images elicit in viewers. Despite the fact that this topic is relatively new, a wide variety of strategies have been created for diver...
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Chapter and Conference Paper
The Role of Industry 4.0 Technologies in Enabling Knowledge Management Practices: United Arab Emirates Perspective
The purpose of this study is to discuss the role of Industry 4 (I4) technologies in Knowledge Management (KM). Industry 4 has the ability to enhance business processes and industrial operations. This study rec...
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Chapter and Conference Paper
Navigable Atom-Rule Interactions in PSL Models Enhanced by Rule Verbalizations, with an Application to Etymological Inference
Adding to the budding landscape of advanced analysis tools for Probabilistic Soft Logic (PSL), we present a graphical explorer for grounded PSL models. It exposes the structure of the model from the perspectiv...
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Chapter and Conference Paper
Prediction of Breast Cancer Using Machine Learning Technique
The prognosis and survival chances for people with breast cancer can be significantly improved by an early diagnosis
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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
Approximating Spanning Tree Congestion on Graphs with Polylog Degree
Given a graph G and a spanning tree T of G, the congestion of an edge \(e\in E(T)\) e ...
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Chapter and Conference Paper
Video-Based Emotion Estimation Using Deep Neural Networks: A Comparative Study
In this study we investigate the effectiveness of deep neural networks in predicting valence and arousal solely from visual information of video sequences. Several recent Convolutional Neural Network (CNN) and...
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Chapter and Conference Paper
Formalization of Lambda Calculus with Explicit Names as a Nominal Reasoning Framework
We formalize the metatheory of lambda calculus in Coq, in its classic form with explicit names. The formalization is founded upon an intuitive $$\alph...
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Chapter and Conference Paper
Research on Precision Marketing Strategy of Guangdong Characteristic Products Enabled by Big Data in Rural
With the deepening of the rural revitalization strategy, in order to accelerate the implementation of rural revitalization and development, promote the adjustment of industrial structure, and deepen the innova...
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Chapter and Conference Paper
Mathematical Model of Processing Batches of Raw Materials Taking into Account Ripening Process
At optimizing sugar production, as a rule, the question arises about the schedule of processing of various varieties of sugar beet. Due to seasonal temperature conditions, various root crop diseases and other ...
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Chapter and Conference Paper
MS UX-Net: A Multi-scale Depth-Wise Convolution Network for Medical Image Segmentation
Semantic segmentation of 3D medical images plays an important role in assisting physicians in diagnosing and successively studying the progression of the disease. In recent years, transformer-based models have...
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Chapter and Conference Paper
FCSO: Source Code Summarization by Fusing Multiple Code Features and Ensuring Self-consistency Output
Source code summarization is the process of generating a concise and generalized natural language summary from a given source code, which can facilitate software developers to comprehend and use the code bette...
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Chapter and Conference Paper
Numerical Modeling of Water Ice Impact Destruction
Water ice behavior under dynamic loading depends on many conditions, including temperature, freezing process and chemical composition of impurities. Ice specimens produced in laboratory conditions can only imi...
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Chapter and Conference Paper
Remote Sensing GEO Relay Transmission Scheme Based on Mission Awareness Under Dynamic Topology
With low-orbit (LEO) remote sensing being widely used in emergency rescue, atmospheric observation, and military reconnaissance, the types of users and their requirements are increasing. Due to the fact that t...
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Chapter and Conference Paper
BDI Peasants Model for the WellProdSim Agent-Based Social Simulator
This article describes the design and implementation of BDI agents for the WellProdSim Social Simulator, a system that assesses the productivity and social wellbeing of Peasant Families. A first BDI emotional ...
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Chapter and Conference Paper
Commonsense Reasoning and Explainable Artificial Intelligence Using Large Language Models
Commonsense reasoning is a difficult task for a computer, but a critical skill for an artificial intelligence (AI). It can enhance the explainability of AI models by enabling them to provide intuitive and huma...
