Spatiotemporal optimization for communication-navigation-sensing collaborated emergency monitoring by Xicheng Tan, Bocai Liu, Chaopeng Li, Zeenat Khadim Hussain, Kaiqi Wang, Kai Wang, Mengyan Ye, Danyang Yang, Zhiyuan Mei

“…Experimental results indicate that, compared to similar approaches, this method significantly improves communication rate optimization and deployment site effectiveness. …”
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Comparative analysis of the quality of fractal image compression with JPEG and JPEG2000 standards by Serhii Karnatov, Oleksandr Gertsiy

“… This paper presents a comparative analysis of three image compression methods: JPEG, JPEG2000, and fractal compression (FIC). …”
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CFTformer: End-to-End Cross-Frame Multi-Object Tracking With Transformer by Abdollah Amirkhani, Seyed Alireza Khoshnevis

“…In the proposed approach, the temporal identities of the frames are included in the positional encoding of the patches. This approach allows the encoder-decoder to track the queries more efficiently across the frames. …”
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Comparing UNet configurations for anthropogenic geomorphic feature extraction from land surface parameters. by Sarah Farhadpour, Aaron E Maxwell

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GAN-based solar radiation forecast optimization for satellite communication networks by Chao Chen, Xin Liu, Shizhong Zhao, Muhammad Bilal

“…Accurate short-term solar radiation forecasting is essential for the stable operation and dispatch of photovoltaic power generation systems. Advanced encoder–decoder architectures, utilizing satellite remote sensing data, are now primary techniques for this forecasting task. …”
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Temporal dependent rate-distortion optimization based on distortion backward propagation by Hongwei GUO, Ce ZHU, Xu YANG, Lei LUO

“…Rate-distortion optimization (RDO) is a crucial technique in block based hybrid video encoders.However, the widely used independent RDO is far from obtaining optimal coding performance.To improve the rate-distortion (R-D) performance of high efficiency video coding (HEVC), a temporal dependent RDO algorithm was proposed.Firstly, the formula to calculate temporal distortion propagation factor was derived by using an exponential R-D function.Then, the coding distortion and motion compensation predicted error were obtained by pre-encoding, and the temporal distortion propagation factor was estimated by using distortion backward propagation.Finally, the Lagrange multiplier and quantization parameter of coding tree unit were adaptively adjusted to optimize bit resources allocation.Experimental results show that compared with the original RDO method in HEVC under the low-delay configuration, the proposed algorithm achieves an average 4.4% bit rate reduction for all test sequences, and up to 13.0% bit rate reduction for test sequence BasketballDrill, at the same reconstructed video quality.…”
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Temporal dependent rate-distortion optimization based on distortion backward propagation by Hongwei GUO, Ce ZHU, Xu YANG, Lei LUO

“…Rate-distortion optimization (RDO) is a crucial technique in block based hybrid video encoders.However, the widely used independent RDO is far from obtaining optimal coding performance.To improve the rate-distortion (R-D) performance of high efficiency video coding (HEVC), a temporal dependent RDO algorithm was proposed.Firstly, the formula to calculate temporal distortion propagation factor was derived by using an exponential R-D function.Then, the coding distortion and motion compensation predicted error were obtained by pre-encoding, and the temporal distortion propagation factor was estimated by using distortion backward propagation.Finally, the Lagrange multiplier and quantization parameter of coding tree unit were adaptively adjusted to optimize bit resources allocation.Experimental results show that compared with the original RDO method in HEVC under the low-delay configuration, the proposed algorithm achieves an average 4.4% bit rate reduction for all test sequences, and up to 13.0% bit rate reduction for test sequence BasketballDrill, at the same reconstructed video quality.…”
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Quantum neural network-based approach for optimizing road network selection by Haohua Zheng, Heying Li, Jianchen Zhang, Guangxia Wang, Jianzhong Guo, Jiayao Wang

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Adaptive Optimization of Traffic Signal Timing via Deep Reinforcement Learning by Zibo Ma, Tongchao Cui, Wenxing Deng, Fengyao Jiang, Liguo Zhang

“…Specifically, we first adopt Proximal Policy Optimization (PPO) to improve the convergence speed of the model. …”
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Molecular Generation and Optimization of Molecular Properties Using a Transformer Model by Zhongyin Xu, Xiujuan Lei, Mei Ma, Yi Pan

“…Herein, we aim to optimize the properties of a specific molecule to satisfy the specific properties of the generated molecule. …”
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Strategic Optimization of Nanoparticle Characteristics to Enhance Tumor Targeting and Doxorubicin Delivery by Lee YJ, Hong J, Seo BY, Lee BH, Sarangthem V, Park RW

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Generalized hybrid LiFi-WiFi UniPHY learning framework towards intelligent UAV-based indoor networks by Rizwana Ahmad, Dil Nashin Anwar, Haythem Bany Salameh, Hany Elgala, Moussa Ayyash, Sufyan Almajali, Reyad El-Khazali

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Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…Six encoding techniques for time series data were evaluated: Markov transition fields (MTF), Gramian angular summation field (GASF), Gramian angular difference field (GADF), Recurrence plots (RP), and time–frequency analysis methods, including short-time Fourier transform (STFT) and continuous wavelet transform (CWT). …”
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Comparative Transcriptomics Analysis of Foot-and-Mouth Disease Virus-Infected Cell Model Systems by Haibin Ma, Zhenzhen Zheng, Min Liu, Mengsi Zhang, Xiaoyun Qu, Jingqiang Ren, Ming Liao

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Comparative Analysis of Codon Usage Patterns in the Chloroplast Genomes of <i>Fagopyrum</i> Species by Qilin Liu, Shurui Li, Dinghong He, Jinyu Liu, Xiuzhi He, Chengruizhi Lin, Jinze Li, Zhixuan Huang, Linkai Huang, Gang Nie, Xinquan Zhang, Guangyan Feng

“…In chloroplast genomes, the optimization of CUB is critical for improving the efficacy of genetic engineering approaches. …”
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Deep Learning Model for Analyzing EEG Signal Analysis by Varun Gupta, Vivek Kumar, Prince, Saurabh Singh, Young-Seok Lee, In-Ho Ra

“…To address these issues, this paper compares a U-shaped encoder-decoder network (UNET) and Bat-based UNET signal analysis (BUSA) techniques to classify depression rates in the Electroencephalogram (EEG) datasets. …”
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Weather Phenomena Monitoring: Optimizing Solar Irradiance Forecasting With Temporal Fusion Transformer by Xinyang Hu

“…The proposed model decomposes the raw solar irradiance sequence into intrinsic mode functions using VMD and optimizes the TFT using the variable screening network and GRU-based encoder-decoder. …”
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Optimization and Validation of Wafer Surface Defect Detection Algorithm Based on RT-DETR by Ao Xu, Yanwei Li, Hongbo Xie, Rui Yang, Jianjie Li, Jiaying Wang

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Enhancing english oral translation through cross-modal learning and synchronous optimization. by Yan Wang

“…Subsequently, the text sequence derived from this process is amalgamated with the original speech features via Bidirectional Encoder Representations from Transformers (BERT). …”
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Evaluation of stroke sequelae and rehabilitation effect on brain tumor by neuroimaging technique: A comparative study. by Xueliang Guo, Lin Sun

“…Through the application of a 3-D CNN encoder and decoder, as well as the integration of the CBAM attention module and jump connection, the model can finely capture and refine features, to achieve a level of segmentation accuracy comparable to that of manual segmentation by experts. …”
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