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Versatile Video Coding (VVC) promised to provide the same video quality as HEVC with 50 % bitrate reduction, which was introduced in 2020. Our suggested method for VVC Intra-coding is residue super-resolution convolutional neural network (RSR-CNN) utilizing downsampling and upsampling procedures. We present an effective complexity reduced VVC intra-coding scheme based on residue SR-CNN. Reducing an original video's resolution in both the vertical and horizontal directions is all that is required to execute down sampling. Increasing the video dimensions for improved visual quality, convolutional neural networks are utilized in the upsampling process to create residue super-resolution. Specifically, for every block, we train a CNN model to perform residue SR after downsampling and compressing the residue at low resolution, and then we carry out motion estimation (ME) and motion compensation (MC) to extract the residue. Using the MC prediction signal, a new residue SR-CNN is designed. Additionally, this work comprehensively examines the complexity and performance of VVC intra-coding tools and integrates them with the residue SR-CNN method. The experiments demonstrate a substantial time savings of 40 % in encoding with BDBR coding gains of 4.2 %, and 2.9 % in AI and RA configurations respectively.

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기사명 저자명 페이지 원문 목차
Transition toward Healthcare 5.0 : impact of COVID-19 in the healthcare industry Jasiya Fairiz Raisa, Md. Sazzadur Rahman, Imtiaz Mahmud, M. Shamim Kaiser, Dong Seog Han p. 371-389
To associate or not to associate? A user-based threshold scheme for 5G and beyond networks Naor Zohar p. 390-401
Blockchain-enabled KYC integration for CLV optimization with robust M-estimation and IRLS method Marischa Elveny, Mahyuddin K.M. Nasution, Fanindia Purnamasari, Tengku Siti Meriam Tengku Wook p. 402-410
Accurate baseball player pose refinement using motion prior guidance Seunghyun Oh, Heewon Kim p. 411-416
Towards fault-tolerant distributed quantum computation (FT-DQC) : taxonomy, recent progress, and challenges Harashta Tatimma Larasati, Byung-Soo Choi p. 417-435
Adversarial defense for battery state-of-health prediction models Masoumeh Mohammadi, Insoo Sohn p. 436-441
Design of LDPC code for uncorrelated Rayleigh fading channel using modified outage probability Woong-Shin Kwak, Jae-Won Kim p. 442-447
Optimizing sum rates in IoT networks : a novel IRS-NOMA cooperative system Mukkara Prasanna Kumar, Ammar Summaq, Sunil Chinnadurai, Poongundran Selvaprabhu, Vinoth Babu Kumaravelu, Md. Abdul Latif Sarker, Dong Seog Han p. 448-453
(A) new method for 3D face reconstruction using transformers based on action unit features Hyeonjin Kim, Hyukjoon Lee p. 454-459
Residue super-resolution convolutional neural network based complexity reduction for H.266 VVC intra-coding A Dhanalakshmi, L Balaji, C Raja, Jayant Giri, Mubarak Alrashoud p. 460-466
(A) novel driving lane change intent prediction model based on image data mining approach and transformer Junbo He, Wei Guan, Xuanyuan Gou, Zhiqing Zhang p. 467-472
(A) comprehensive multi-agent deep reinforcement learning framework with adaptive interaction strategies for contention window optimization in IEEE 802.11 Wireless LANs Yi-Hao Tu, Yi-Wei Ma p. 473-480
(A) selective update sensing approach for UAV-ISAC enabled relaying network Igbafe Orikumhi, Nakyung Lee, Jungsook Bae, Sunwoo Kim p. 481-485
(A) review on building blocks of decentralized artificial intelligence Vid Keršič, Muhamed Turkanović p. 486-506
Metaverse meets distributed machine learning : a contemporary review on the development with privacy-preserving concerns Samuel Harry Gardner, Trong-Minh Hoang, Woongsoo Na, Nhu-Ngoc Dao, Sungrae Cho p. 507-522
Robust and secure communications using dynamic rotations reconfigurable intelligent surface Kunyu Li, Guoping Zhang, Hongbo Xu, Ruijie Li, Yun Chen, Xingxing Huang p. 523-528
Muloc : multi-scale combination mask indoor localization network for WiFi based on channel state information Haoyang Qi, Xin Song, Yuqi Zhang, Lanfeng Li, Zhiao Cao p. 529-535
Joint scheduling and resource allocation based on reinforcement learning in integrated access and backhaul networks Joeun Kim, Youngil Jeon, Junhwan Lee, Moon-Sik Lee, Taesoo Kwon p. 536-541
Distributed optimization for IoT attack detection using federated learning and Siberian Tiger optimizer Brij B. Gupta, Akshat Gaurav, Wadee Alhalabi, Varsha Arya, Eman Alharbi, Kwok Tai Chui p. 542-546
Enhancing electric vehicle range through real-time failure prediction and optimization : introduction to DHBA-FPM model with an artificial intelligence approach Yunus Emre Ekici, Teoman Karadağ, Ozan Akdağ, Ahmet Arif Aydin, Hüseyin Ozan Tekin p. 547-558
Enhancing LEO direct-to-satellite channel modeling with the shadowing effect via K-distribution Tomás B. Núñez-González, Cesar A. Azurdia-Meza, Raydel Ortigueira, Samuel Montejo-Sánchez, Javier A. Ordenes-Pinto, Melissa E. Diago-Mosquera, Sandra Céspedes p. 559-564
Leakage based multi-point transmission for UAM in integrated satellite and terrestrial network Jeeyeon Kim, Incheol Hwang, Daesik Hong p. 565-568
(A) comparative study of phantom sponge for monocular 3D object detection on edge devices Shaheer Siddiqui, Jinpyung Kim, Jangho Lee p. 569-575
Survey of next-generation optical wireless communication technologies for 6G and beyond 6G Huy Nguyen, Al-Imran, Yeong Min Jang p. 576-589
Deep learning-based channel prediction for TDD MIMO systems with imperfect channel reciprocity Heecheol Yang p. 590-596

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