Suchergebnisse - decoding (Algorithmssssics OR (algorithm OR (algorithm OR algorithm)))

ASTK: A Machine Learning‐Based Integrative Software for Alternative Splicing Analysis von Shenghui Huang, Jiangshuang He, Lei Yu, Jun Guo, Shangying Jiang, Zhaoxia Sun, Linghui Cheng, Xing Chen, Xiang Ji, Yi Zhang

Inhaltsangabe: “… biological pathways. A major challenge in the field has been decoding the regulatory codes of splicing. ASTK …”
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Integrated Information and Energy Relaying Protocols for Cooperative Self‐Sustainable Networks Using Deep Learning von Peddini Suresh Kumar, Ganesh Prasad, Ravi Singh K, Deepak Mishra, Mitya Kumari

Inhaltsangabe: “… of a decode‐and‐forward (DF)–based relay‐assisted cooperative network to enhance its data rate …”
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Video‐Rate Spectral Imaging Based on Diffractive‐Refractive Hybrid Optics von Hao Xu, Haiquan Hu, Nan Xu, Bingkun Chen, Peng Luo, Tingting Jiang, Zhihai Xu, Qi Li, Shiqi Chen, Yueting Chen

Inhaltsangabe: “… on encoding–decoding have emerged, among which phase‐encoding spectral imaging systems have attracted …”
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Dynamic Information Encryption and Coding using Liquid Crystal Soft Helical Microstructures with Spiropyran Photochromic Switch von Guangyin Qu, Xiaojuan Zhang, Siqi Li, Yan Kuai, Feng Xu, Liang Lu, Yu Liu, Zhigang Cao, Benli Yu, Anderson S. L. Gomes, Zhijia Hu

Inhaltsangabe: “… information encoder is developed to mimic the processes of information encoding and decoding, bypassing …”
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Programmable Nanostructured Liquid Crystalline Film with Tailored Optical Degrees‐of‐Freedom toward Information Encryption von Xuan Liu, Boyuan Li, Honglong Hu, Xia Duan, Junhui Wang, Peizhi Sun, Zhi‐Gang Zheng

Inhaltsangabe: “… still rely on computationally intensive inverse‐design algorithms and bulky spatial light modulation …”
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Bioinspired Ultratough and Rapidly Responsive Hydrogels Empower Silent Communication von Shuaibo Zhang, Donglei Fu, Junjie Deng, Ruyi Wei, Xinghai Liu

Inhaltsangabe: “… decoding against motion‐induced noise, a finite state machine (FSM)‐based algorithm is employed …”
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A New Comprehensive Framework for Multi-Exposure Stereo Coding Utilizing Low Rank Tucker-ALS and 3D-HEVC Techniques von Sharma, Mansi, Grover, Jyotsana

Inhaltsangabe: “… personalization simultaneously. Efficient algorithms to compress HDR stereo data is critical. Direct capturing …”
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Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training von Zoumpourlis, Georgios, Patras, Ioannis

Inhaltsangabe: “… In this work, we study the problem of cross-subject motor imagery (MI) decoding from …”
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LadleNet: A Two-Stage UNet for Infrared Image to Visible Image Translation Guided by Semantic Segmentation von Zou, Tonghui, Chen, Lei

Inhaltsangabe: “… on these principles, we propose an improved algorithm based on U-net called LadleNet. This network utilizes a two …”
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Enigma: Application-Layer Privacy for Quantum Optimization on Untrusted Computers von Ayanzadeh, Ramin, Mousavi, Ahmad, Basareh, Amirhossein, Alavisamani, Narges, Taram, Kazem

Inhaltsangabe: “… at the application layer to enable practical deployment while remaining agnostic to algorithms, computing models …”
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UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity von Zuo, Jialong, Zhou, Hanyu, Nie, Ying, Zhang, Feng, Guo, Tianyu, Sang, Nong, Wang, Yunhe, Gao, Changxin

Inhaltsangabe: “… {algorithm} especially designed for text-based person retrieval with ultra fine-grained texts. It achieves …”
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Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework von Tian, Yuan, Zhou, Wenqi, Viscione, Michele, Dong, Hao, Kammer, David, Fink, Olga

Inhaltsangabe: “… leverages reinforcement learning without relying on a transformer-based decoder. This formulation allows …”
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Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI von Garg, Sahil, Schneider, Anderson, Raj, Anant, Rasul, Kashif, Nevmyvaka, Yuriy, Gopal, Sneihil, Dhurandhar, Amit, Cecchi, Guillermo, Rish, Irina

Inhaltsangabe: “… and then decoding or denoising them to match the true data distribution. In contrast, our method is grounded …”
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Exploring the Dynamics of Data Transmission in 5G Networks: A Conceptual Analysis von Smirnov, Nikita, Tomforde, Sven

Inhaltsangabe: “… acquisition and encoding to final decoding, all aspects of their transmission and reception via the WebRTC …”
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Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space von Koopas, Rasoul Najafi, Rezaei, Shahed, Rauter, Natalie, Ostwald, Richard, Lammering, Rolf

Inhaltsangabe: “… conductivity maps of different resolutions to the decoder segment in distinct steps. Hence the developed …”
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Lite-SAM Is Actually What You Need for Segment Everything von Fu, Jianhai, Yu, Yuanjie, Li, Ningchuan, Zhang, Yi, Chen, Qichao, Xiong, Jianping, Yin, Jun, Xiang, Zhiyu

Inhaltsangabe: “… traditional prompt encoder, and a mask decoder. All these components are integrated within the SAM framework …”
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A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air Mobility von Poddar, Prithvi, Paul, Steve, Chowdhury, Souma

Inhaltsangabe: “… , and transport cost profiles, and a Multi-head attention (MHA) based decoder. Expert demonstrations are used …”
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Coordinated Half-Duplex/Full-Duplex Cooperative Rate-Splitting Multiple Access in Multi-Cell Networks von Elhattab, Mohamed, Khisa, Shreya, Assi, Chadi, Ghrayeb, Ali, Qaraqe, Marwa, Kaddoum, Georges

Inhaltsangabe: “… in either half-duplex (HD) or full-duplex (FD) decode-and-forward (DF) relaying mode. In this setup, we aim …”
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Improving Achievability of Cache-Aided Private Variable-Length Coding with Zero Leakage von Zamani, Amirreza, Skoglund, Mikael

Inhaltsangabe: “… ;\mathcal{C})=0$; ii. User $i$ can decode its demand, $Y_{d_i}$, by using the shared key $W$, $\cal C …”
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Aligned Datasets Improve Detection of Latent Diffusion-Generated Images von Rajan, Anirudh Sundara, Ojha, Utkarsh, Schloesser, Jedidiah, Lee, Yong Jae

Inhaltsangabe: “… that in addition to these algorithmic choices, we also require a well aligned dataset of real/fake images to train …”
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