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Topic Review
Negotiation Protocol with Pre-Domain Narrowing
Consensus building among agents is crucial in multi-agent system because each agent acts independently according to its utility function, and conflict among agents can occur. Therefore, automated negotiation is an essential technology for efficiently resolving conflicts and forming consensuses while also keeping agents' privacy. As the domain to be negotiated is large, the computational cost of reaching a consensus increases and the agreement rate decreases. Some negotiation protocols have been proposed wherein a mediator collects the utility information of each agent and creates multiple alternatives of agreements to handle large-scale multi-issue negotiations. However, in such protocols, a limitation is placed on agents' privacy because all agents have to disclose their private information by following the mediator and predecided negotiation rules.
  • 268
  • 05 Jun 2023
Topic Review
HVS and Contrast Sensitivity to Assess Image Quality
The human visual system (HVS) has many characteristics, such as the dual-pathway feature, in which visual information is transmitted through the ventral pathway and dorsal pathway in the visual cortex. The contrast sensitivity characteristic of the HVS reflects the different sensitivity of the human eye to different spatial frequencies. This characteristic is similar to the widely used spatial attention mechanism and image saliency.
  • 384
  • 05 Jun 2023
Topic Review
Chance and Uncertainty in Integrated Assessment Models
The spirited and continuing debate on the scientific status of integrated assessment models (IAMs) of global climate change raises many methodological issues. Here researchers address the nature of the uncertainties encountered and their treatment in the modeling literature.
  • 320
  • 05 Jun 2023
Topic Review
Strategy for Catastrophic Forgetting Reduction in Incremental Learning
Catastrophic forgetting or catastrophic interference is a serious problem in continuous learning in machine learning. It happens not only in traditional machine learning algorithms such as SVM (Support Vector Machine), NB (Naive Bayes), DT (Decision Tree), and CRF (Conditional Random Field) but also in DNNs.
  • 377
  • 05 Jun 2023
Topic Review
Trust Computation in Internet of Vehicles
The current trust computation scheme in Internet of Vehicles, according to the adopted decision logic, can be divided into different approaches based on multi-weight fusion, Bayesian inference (BI), the Dempster–Shafer (D-S) theory, fuzzy logic, and three-valued subjective logic (3VSL), etc.
  • 401
  • 05 Jun 2023
Topic Review
Channel Correction for Anterior Cruciate Ligament Tear
The anterior cruciate ligament (ACL) is critical for controlling the motion of the knee joint, but it is prone to injury during sports activities and physical work. If left untreated, ACL injuries can lead to various pathologies such as meniscal damage and osteoarthritis. 
  • 275
  • 05 Jun 2023
Topic Review
Hierarchical Multi-Objective Optimization for Dedicated Bus Punctuality
Public transportation is a crucial component of urban transportation systems, and improving passenger sharing rates can help alleviate traffic congestion. 
  • 315
  • 05 Jun 2023
Topic Review
SAA-UNet
The disaster of the COVID-19 pandemic has claimed numerous lives and wreaked havoc on the entire world due to its transmissible nature. One of the complications of COVID-19 is pneumonia. Different radiography methods, particularly computed tomography (CT), have shown outstanding performance in effectively diagnosing pneumonia.
  • 452
  • 05 Jun 2023
Topic Review
Organizational Routines and Digital Transformation
Digital transformation refers to the integration of digital technologies, such as data analytics and automation, into an organization, engendering changes in its work routines, processes, structure, and culture. However, digital transition is a strategic process involving significant structural and procedural changes in the shift from one technology to another. Therefore, understanding the effect of organizational routines is essential for understanding how digital transformation impacts an organization, and how best to manage this transition. 
  • 412
  • 05 Jun 2023
Topic Review
Serious Games for Learning Artificial Intelligence Algorithms
Artificial Intelligence (AI) is the technology of the future, as its applications are constantly expanding in every aspect of human life. The spread of the internet has given a great impetus to technologies that apply AI algorithms and make their presence more and more intense in everyday life. However, despite the ubiquitous presence of AI, few people can comprehend its true meaning and reason for its existence, especially the way it is applied. Serious games, that is games with a "serious purpose" other than entertaninment, can play an important role in comprehending and applying AI algorithms.
  • 272
  • 05 Jun 2023
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