609 Result(s)
within
Pan **g
Artificial Intelligence
Information Systems Applications (incl. Internet)
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Article
An Online Algorithm Based on Replication for Using Spot Instances in IaaS Clouds
Infrastructure-as-a-Service (IaaS) cloud platforms offer resources with diverse buying options. Users can run an instance on the on-demand market which is stable but expensive or on the spot market with a sign...
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Article
An energy-adaptive clustering method based on Taguchi-based-GWO optimizer for wireless sensor networks with a mobile sink
In wireless sensor networks (WSNs), balancing energy consumption is always a critical problem. Multi-hop data transmission may cause the nodes around the static sink to exhaust energy prematurely. It can be av...
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Article
Context-Aware Semantic Type Identification for Relational Attributes
Identifying semantic types for attributes in relations, known as attribute semantic type (AST) identification, plays an important role in many data analysis tasks, such as data cleaning, schema matching, and k...
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Article
A Semi-Tensor Product Based All Solutions Boolean Satisfiability Solver
Boolean satisfiability (SAT) is widely used as a solver engine in electronic design automation (EDA). Typically, SAT is used to determine whether one or more groups of variables can be combined to form a true ...
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Article
PCRTAM-Net: A Novel Pre-Activated Convolution Residual and Triple Attention Mechanism Network for Retinal Vessel Segmentation
Retinal images play an essential role in the early diagnosis of ophthalmic diseases. Automatic segmentation of retinal vessels in color fundus images is challenging due to the morphological differences between...
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Article
Parallel Software-Based Self-Testing with Bounded Model Checking for Kilo-Core Networks-on-Chip
Online testing is critical to ensuring reliable operations of the next generation of supercomputers based on a kilo-core network-on-chip (NoC) interconnection fabric. We present a parallel software-based self-...
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Article
Single Image Deraining Using Residual Channel Attention Networks
Image deraining is a highly ill-posed problem. Although significant progress has been made due to the use of deep convolutional neural networks, this problem still remains challenging, especially for the detai...
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Article
A Comparative Study of CNN- and Transformer-Based Visual Style Transfer
Vision Transformer has shown impressive performance on the image classification tasks. Observing that most existing visual style transfer (VST) algorithms are based on the texture-biased convolution neural net...
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Article
Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture
COVID-19 is a contagious infection that has severe effects on the global economy and our daily life. Accurate diagnosis of COVID-19 is of importance for consultants, patients, and radiologists. In this study, ...
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Article
Meaningful Update and Repair of Markov Decision Processes for Self-Adaptive Systems
Self-adaptive systems are able to adjust their behaviour in response to environmental condition changes and are widely deployed as Internetwares. Considered as a promising way to handle the ever-growing comple...
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Article
Checking Causal Consistency of MongoDB
MongoDB is one of the first commercial distributed databases that support causal consistency. Its implementation of causal consistency combines several research ideas for achieving scalability, fault tolerance...
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Chapter and Conference Paper
BGC: Multi-agent Group Belief with Graph Clustering
Recent advances have witnessed that value decomposed-based multi-agent reinforcement learning methods make an efficient performance in coordination tasks. Most current methods assume that agents can communicat...
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Chapter and Conference Paper
“Trauma” and Delicate Balance: The Analysis of Salvoj Žižek’s Ontology and New Ecological Philosophy
Slavoj Žižek reflected on nature centrism from the basic concept of “trauma” in psychoanalysis, and demonstrated that “the Real is a trauma” and “man is the wound of nature.” He believed that when facing the n...
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Chapter and Conference Paper
Learning a Typhoon Bayesian Network Structure from Natural Language Reports
Given the huge toll caused by natural disasters, it is critically important to develop an effective disaster management and emergency response technique. In this article, we investigate relationships between t...
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Chapter and Conference Paper
SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour
Lacking behavioural data between students and an Intelligent Tutoring System (ITS) has been an obstacle for improving its personalisation capability. One feasible solution is to train “sim students”, who simul...
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Chapter and Conference Paper
A Novel Soft Wrist Joint with Variable Stiffness
This paper presents a novel soft wrist joint made up of two soft variable stiffness bending joints and one soft torsion joint. The soft variable stiffness bending joint can achieve bending motion with variable...
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Chapter and Conference Paper
An Innovative Guidance for Outdoor Fitness Equipment Design
Improving the well-being of older people has become a prior policy of many countries and international communities. A community with outdoor fitness equipment (OFE) near a residence is an ideal place to work o...
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Chapter and Conference Paper
Interactive Relationships in the Future of Virtual Reality
This paper focuses on revealing the virtual nature of digital space and exploring the design of virtual space in digital scene by explaining the interactive relations in the future virtual reality. Digital for...
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Chapter and Conference Paper
A New Geometric Method for Solving the Inverse Kinematics of Two-Segment Continuum Robot
The inverse kinematics (IK) of continuum robot (CR) is an important factor to guarantee motion accuracy. How to construct a concise IK model is very essential for the real-time control of CR. A new geometric a...
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Chapter and Conference Paper
Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews
Online course reviews have been an essential way in which course providers could get insights into students’ perceptions about the course quality, especially in the context of massive open online courses (MOOC...
