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Topic Review
Weakly Supervised Crowd-Counting Models
Crowd-counting networks have become the mainstream method to deploy crowd-counting techniques on resource-constrained devices. Significant progress has been made in this field, with many outstanding lightweight models being proposed successively.  However, challenges like scare variation, global feature extraction, and fine-grained head annotation requirements still exist in relevant tasks, necessitating further improvement. In this research, the researchers propose a weakly-supervised hybrid lightweight crowd-counting network that integrates the initial layers of GhostNet as the backbone to efficiently extract local features and enrich intermediate features. The experimental results for accuracy and inference speed evaluation on some mainstream datasets validate the effective design principle of the model.
  • 87
  • 28 Feb 2024
Topic Review
Feature Extraction Methods in Autonomous Driving
The upsurge of autonomous vehicles in the automobile industry will lead to better driving experiences while also enabling the users to solve challenging navigation problems. Reaching such capabilities will require significant technological attention and the flawless execution of various complex tasks, one of which is ensuring robust localization and mapping. Herein, a discussion of the contemporary methods of extracting relevant features from equipped sensors and their categorization as semantic, non-semantic, and deep learning methods is presented. Representativeness, low cost, and accessibility are crucial constraints in the choice of the methods to be adopted for localization and mapping tasks. 
  • 260
  • 28 Feb 2024
Topic Review
Artificial Intelligence for Digital Heritage Innovation
Artificial intelligence (AI) is a game changer in many fields, including cultural heritage. It supports the planning and preservation of heritage sites and cities, enables the creation of virtual experiences to enrich cultural tourism and engagement, supports research, and increases access and understanding of heritage objects. Despite some impressive examples, the full potential of AI for economic, social, and cultural change is not yet fully visible.
  • 1.0K
  • 27 Feb 2024
Topic Review
Risks in Industry 5.0 Architecture
Industry 4.0, which was proposed ten years ago to address both the industry’s strengths and faults, has finally been replaced by Industry 5.0. It seeks to put human welfare at the core of manufacturing systems, achieving societal goals beyond employment and growth to firmly provide wealth for the long-term advancement of all of humanity.
  • 246
  • 26 Feb 2024
Topic Review
Deep Learning for Automated Visual Inspection
This article evaluates the state of the art of deep-learning-based automated visual inspection in manufacturing and maintenance applications and contrasts it to academic research in the field of computer vision. By doing so itidentifies to what extent computer vision innovations are already being used and which potential improvements could be realized by further transferring promising concepts. Existing work is either focused on specific industry sectors or methodologies but not on industrial VI as a whole or is outdated by almost two decades. We surveyed 196 open access publications from 2010 to March 2023 from the fields of manufacturing and maintenance with no restriction regarding industries. Our main findings were: The vast majority of publications utilize supervised learning approaches on relatively small datasets with convolutional neural networks. The timegap between publication of new approaches in deep learning-based computer vision and its first application in industrial visual inspection is approximately three years First vision transformer models emerge in 2022 and seem to outperform established models but their excellent self-supervised learning capabilities are not explored to date
  • 238
  • 26 Feb 2024
Topic Review
Optimizing Session-Aware Recommenders
Recommendation mechanisms have emerged as vital tools for the filtering of information in various aspects of life. They are widely used in commercial platforms, including e-commerce sites like Amazon. Session-based or session-aware recommendation is more attractive due to the recommendation accuracy.
  • 120
  • 26 Feb 2024
Topic Review
Autonomous Multi-Defect Segmentation in Electroluminescence Images
A robust and efficient segmentation framework is essential for accurately detecting and classifying various defects in electroluminescence images of solar photovoltaic (PV) modules. With the increasing global focus on renewable energy resources, solar PV energy systems are gaining significant attention. The inspection of PV modules throughout their manufacturing phase and lifespan requires an automatic and reliable framework to identify multiple micro-defects that are imperceptible to the human eye. 
  • 160
  • 26 Feb 2024
Topic Review
Personalized Oxygen Dosing System
Considering the prevalence of chronic obstructive pulmonary disease (COPD) and the limitations of traditional long-term oxygen therapy (LTOT) in meeting individual patient needs, a proactive and personalized oxygen dosing system is introduced. This system harnesses AI and edge-to-cloud technologies, distributed across the continuum and Its primary objective is to develop accurate, reliable, and efficient predictive SpO2 AI models for each enrolled patient.
  • 127
  • 26 Feb 2024
Topic Review
Matrix Factorization Recommendation Algorithm Based on Attention Interaction
Recommender systems are widely used in e-commerce, movies, music, social media, and other fields because of their personalized recommendation functions. The recommendation algorithm is used to capture user preferences, item characteristics, and the items that users are interested in are recommended to users.
  • 134
  • 26 Feb 2024
Topic Review
Industry 4.0 Innovation
Industry 4.0 has revolutionized manufacturing processes and facilities through the creation of smart and sustainable production facilities. Blockchain technology (BCT) has emerged as an invaluable asset within Industrial Revolution 4.0 (IR4.0), offering increased transparency, security, and traceability across supply chains. 
  • 178
  • 26 Feb 2024
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