Topic Review
2D DWT and PCA with Canonical Huffman Encoding
For image compression, discrete wavelet transform (DWT) and CHC with principal component analysis (PCA) were combined. The lossy method was introduced by using PCA, followed by DWT and CHC to enhance compression efficiency. By using DWT and CHC instead of PCA alone, the reconstructed images have a better peak signal-to-noise ratio (PSNR).
  • 140
  • 16 Oct 2023
Topic Review
3D Models of Oblique Photography Watermarking Algorithm
With the rapid development of oblique photogrammetry technology based on unmanned aerial vehicle (UAV), 3D models of oblique photography (3DMOP) are playing an increasingly significant role in the establishment of digital cities and twin watersheds, due to their huge advantages such as high accuracy, clear texture information, virtual simulation capability, etc. igital watermarking, an important branch of data hiding, has played an important role in security protection of digital products, such as digital images, CAD graphics, remote sensing images, vector maps, etc., and a huge amount of research results have been obtained.
  • 70
  • 28 Dec 2023
Topic Review
3D Photorealistic Human Body Modelling and Reconstruction Techniques
The continuous evolution of video technologies is now primarily focused on enhancing 3D video paradigms and consistently improving their quality, realism, and level of immersion. Both the research community and the industry work towards improving 3D content representation, compression, and transmission. Their collective efforts culminate in the striving for real-time transfer of volumetric data between distant locations, laying the foundation for holographic-type communication (HTC). 
  • 162
  • 21 Nov 2023
Topic Review
A Rule-Based Grapheme-to-Phoneme Conversion System
Natural language processing often requires grapheme-to-phoneme (G2P) conversion of an orthographic text. G2P converts strings of graphemes to corresponding sequences of phonetic transcription characters, directly from orthographic representations and it is crucial for many applications in various areas of speech and language processing.
  • 738
  • 25 Mar 2022
Topic Review
A Scalogram-Based CNN Approach for Audio Classification
The automatic monitoring of activities in construction sites through the proper use of acoustic signals is a recent field of research that is currently in continuous evolution. In particular, the use of techniques based on Convolutional Neural Networks (CNNs) working on the spectrogram of the signal or its mel-scale variants was demonstrated to be quite successful. However, the spectrogram has some limitations, which are due to the intrinsic trade-off between temporal and spectral resolutions. In order to overcome these limitations, CNNs can employ the scalogram representation, as a proper time–frequency representation of the audio signal.
  • 83
  • 29 Dec 2023
Topic Review
Accessible Metaverse
An accessible Metaverse is defined as the intentional design of the Metaverse to ensure inclusivity, accommodating users of all abilities through the integration of digital accessibility principles, diverse engagement, and a commitment to continuous improvement, thereby fostering equal participation and enjoyment for everyone.
  • 85
  • 06 Mar 2024
Topic Review
Accurate Estimation of Air Pollution in Outdoor Routes
There is clear evidence of the effects of air pollution on health. The aim is to provide this information to citizens based on their health profile (medical history or requirements) before and during outdoor trips of their choice, both walking and cycling, empowering them to proactively make informed personal decisions about their route choices and identifying potentially unhealthy travel environments.
  • 178
  • 17 Oct 2023
Topic Review
Adaptive Graphs for Multi-View Subspace Clustering
Clustering of multi-source geospatial big data provides opportunities to comprehensively describe urban structures. Most existing studies focus only on the clustering of a single type of geospatial big data, which leads to biased results. Although multi-view subspace clustering methods are advantageous for fusing multi-source geospatial big data, exploiting a robust shared subspace in high-dimensional, non-uniform, and noisy geospatial big data remains a challenge. 
  • 260
  • 26 Sep 2022
Topic Review
Adaptive Seasonal Auto-Regressive Integrated Moving Average Model
Harvesting energy from solar radiation has emerged as an effective approach to prolong the lifetime of outdoor energy harvesting sensor networks. The harvested energy must be carefully managed to ensure that sufficient energy is available when solar energy is scarce. For the prediction problem of solar energy power harvesting, an adaptive seasonal auto-regressive integrated moving average model (ASARIMA) for solar energy harvesting prediction.
  • 246
  • 03 Feb 2023
Topic Review
Agent-Based Models and Simulations Tools
Agent-based models (ABMs) are one of the most effective and successful methods for analyzing real-world complex systems by investigating how modeling interactions on the individual level (i.e., micro-level) leads to the understanding of emergent phenomena on the system level (i.e., macro-level). ABMs represent an interdisciplinary approach to examining complex systems, and the heterogeneous background of ABM users demands comprehensive, easy-to-use, and efficient environments to develop ABM simulations. Many tools, frameworks, and libraries exist, each with its characteristics and objectives.
  • 474
  • 01 Feb 2023
  • Page
  • of
  • 24