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A Low-Complexity 4D Discrete Chaotic System for Secure Image Encryption Based on Reversible Neural Network [PDF]

Entropy
To address the limitations of existing chaotic systems such as complex structure and potential chaotic degradation, this paper proposes a novel four-dimensional discrete chaotic system (4D-DCS) and an image encryption algorithm based on it. The 4D-DCS is
Han Chen, Qingye Huang, Yingjie Su, Lezhu Chen, Baoyi Liao, Linqing Huang, Changwen Chen   +6 more
doaj   +2 more sources

RA-BiMENet: Continuous-Time 4D Medical Image Interpolation via Relation-Aware Bi-Directional Motion Estimation [PDF]

Sensors
Four-dimensional medical images introduce the temporal dimension to three-dimensional spatial data, enabling the dynamic characterization of organ motion and providing important support for disease diagnosis and functional assessment.
Liangjiang Li, Jun Lyu
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Feasibility of Four-dimensional Adaptation of Volumetric Modulated Arc Therapy Based on Volumetric Modulated Arc Therapy-computed Tomography

Journal of Medical Physics, 2023
Purpose: Volumetric modulated arc therapy (VMAT) has been increasingly used for cancer patients due to the fast delivery and improved dose conformity.
Xiaodong Zhao, Rui Zhang
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Review article: Towards strongly coupled ensemble data assimilation with additional improvements from machine learning [PDF]

Nonlinear Processes in Geophysics, 2023
We assessed different coupled data assimilation strategies with a hierarchy of coupled models, ranging from a simple coupled Lorenz model to the state-of-the-art coupled general circulation model CFSv2 (Climate Forecast System version 2).
E. Kalnay, E. Kalnay, E. Kalnay, T. Sluka, T. Yoshida, C. Da, C. Da, S. Mote, S. Mote   +8 more
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A cycle generative adversarial network for improving the quality of four-dimensional cone-beam computed tomography images

Radiation Oncology, 2022
Background Four-dimensional cone-beam computed tomography (4D-CBCT) can visualize moving tumors, thus adaptive radiation therapy (ART) could be improved if 4D-CBCT were used. However, 4D-CBCT images suffer from severe imaging artifacts.
Keisuke Usui, Koichi Ogawa, Masami Goto, Yasuaki Sakano, Shinsuke Kyougoku, Hiroyuki Daida   +5 more
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Polysaccharide‐based biomaterials in a journey from 3D to 4D printing

Bioengineering & Translational Medicine, 2023
3D printing is a state‐of‐the‐art technology for the fabrication of biomaterials with myriad applications in translational medicine. After stimuli‐responsive properties were introduced to 3D printing (known as 4D printing), intelligent biomaterials with ...
Hanieh Shokrani, Amirhossein Shokrani, Farzad Seidi, Mohammad Mashayekhi, Saptarshi Kar, Dragutin Nedeljkovic, Tairong Kuang, Mohammad Reza Saeb, Masoud Mozafari   +8 more
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Mograph Cinema 4d untuk Menunjang Efek Visual Video Klip

Humaniora, 2010
This research is to talk about the advantages of MoGraph as one reliability feature in 3D modeling application, 4D Cinema as the implemented example in Cinta Laura video clip.
Ardiyan Ardiyan, Ardiyansah Ardiyansah, Satrya Mahardhika   +2 more
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4D Printing of Multicomponent Shape-Memory Polymer Formulations

Applied Sciences, 2022
Four-dimensional (4D) printing technology, as a next-generation additive manufacturing method, enables printed objects to further change their shapes, functionalities, or properties upon exposure to external stimuli.
Muhammad Yasar Razzaq, Joamin Gonzalez-Gutierrez, Gregory Mertz, David Ruch, Daniel F. Schmidt, Stephan Westermann   +5 more
doaj   +1 more source

Are RGB-based salient object detection methods unsuitable for light field data?

EURASIP Journal on Image and Video Processing, 2020
Considering the significant progress made on RGB-based deep salient object detection (SOD) methods, this paper seeks to bridge the gap between those 2D methods and 4D light field data, instead of implementing specific 4D methods.
Yu Liu, Huaxin Xiao, Hanlin Tan, Ping Li
doaj   +1 more source

ALFO: Adaptive Light Field Over-Segmentation

IEEE Access, 2021
Automatic image over-segmentation into superpixels has attracted increasing attention from researchers to apply it as a pre-processing step for several computer vision applications.
Maryam Hamad, Caroline Conti, Paulo Nunes, Luis Ducla Soares   +3 more
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