Anti-packet-loss joint encoding for voice-over-IP steganography by Zhan-zhan GAO, Guang-ming TANG, Wei-wei ZHANG

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A Novel Audio Cryptosystem Using Chaotic Maps and DNA Encoding by S. J. Sheela, K. V. Suresh, Deepaknath Tandur

“…This paper introduces a new audio cryptosystem based on chaotic maps, hybrid chaotic shift transform (HCST), and deoxyribonucleic acid (DNA) encoding rules. The scheme uses chaotic maps such as two-dimensional modified Henon map (2D-MHM) and standard map. …”
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Drosulfakinin signaling encodes early-life memory for adaptive social plasticity by Jiwon Jeong, Kujin Kwon, Terezia Klaudia Geisseova, Jongbin Lee, Taejoon Kwon, Chunghun Lim

“…Given the functional conservation of mammalian Dsk homologs, we propose that animals may have evolved a dedicated neural mechanism to encode early-life experience and transform group properties adaptively.…”
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Underwater Acoustic Image Encoding Based on Interest Region and Correlation Coefficient by Liu Lixin, Guo Feng, Wu Jinqiu

“…This paper applies the classification, reduction codebook, and correlation coefficient matching strategy to narrow the search range of the range block in order to solve the problem of the long encoding time and the calculation amount of encoding process is greatly reduced. …”
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Function encoding based approach for App clone detection in cloud environment by Jia YANG, Cai FU, Lansheng HAN, Hongwei LU, Jingliang LIU

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Zero-shot reranking with dense encoder models for news background linking by Marwa Essam, Tamer Elsayed

“…To represent news articles in the semantic space, we compare multiple Transformer-based encoder models in a zero-shot setting without the need for any labeled data. …”
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Possibilities for Advanced Encoding Techniques at Signal Transmission in the Optical Transmission Medium by Filip Čertík, Rastislav Róka

“…In the final part, a comparison of the selected modulation techniques with different encoding techniques and their implementation in real transmission systems is shown.…”
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Instance-level semantic segmentation of nuclei based on multimodal structure encoding by Bo Guan, Guangdi Chu, Ziying Wang, Jianmin Li, Bo Yi

“…Methods This study proposes a graph neural structure encoding framework based on a vision-language model. …”
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Entangling Schrödinger’s cat states by bridging discrete- and continuous-variable encoding by Daisuke Hoshi, Toshiaki Nagase, Sangil Kwon, Daisuke Iyama, Takahiko Kamiya, Shiori Fujii, Hiroto Mukai, Shahnawaz Ahmed, Anton Frisk Kockum, Shohei Watabe, Fumiki Yoshihara, Jaw-Shen Tsai

“…The first involves the entanglement-preserving conversion between Bell states in the Fock-state basis (DV encoding) and those in the cat-state basis (CV encoding). …”
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Any-to-any voice conversion using representation separation auto-encoder by Zhihua JIAN, Zixu ZHANG

“…In view of the problem that it was difficult to separate speaker personality characteristics from semantic content information in any-to-any voice conversion under non-parallel corpus, which led to unsatisfied performance, a voice conversion method, called RSAE-VC (representation separation auto-encoder voice conversion) was proposed.The speaker’s personality characteristics in the speech were regarded as time invariant and the content information as time variant, and the instance normalization and activation guidance layer were used in the encoder to separate them from each other.Then the content information of the source speech and the personality characteristics of the target one was utilized to synthesize the converted speech by the decoder.The experimental results demonstrate that RSAE-VC has an average reduction of 3.11% and 2.41% in Mel cepstral distance and root mean square error of pitch frequency respectively, and has an increasement of 5.22% in MOS and 8.45% in ABX, compared with the AGAIN-VC (activation guidance and adaptive instance normalization voice conversion) method.In RSAE-VC, self-content loss is applied to make the converted speech reserve more content information, and self-speaker loss is used to separate the speaker personality characteristics from the speech better, which ensure the speaker personality characteristics be left in the content information as little as possible, and the conversion performance is improved.…”
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Binary Image Data Hiding Using Matrix Encoding Technique in Sensors by Phan Trung Huy, Cheonshik Kim

“…In this paper, we present an Improved Matrix Encoding (IME) scheme for hiding data into a two-color binary image. …”
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Encoding Disappearing Characters: The Case of Twentieth-Century Japanese-Canadian Names by Stewart Arneil

“…Journal of the Text Encoding Initiative…”
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Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting by Yanhong Li, David C. Anastasiu

“…Additionally, MSEED incorporates a simple vanilla encoder-decoder model for strengthening rolling predictions. …”
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The Code of Maya Kings and Queens: Encoding and Markup of Maya Hieroglyphic Writing by Martin de la Iglesia, Franziska Diehr, Uwe Sikora, Sven Gronemeyer, Maximilian Behnert-Brodhun, Christian Prager, Nikolai Grube

“…Journal of the Text Encoding Initiative…”
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Efficient Encoding and Decoding of Voxelized Models for Machine Learning-Based Applications by Damjan Strnad, Stefan Kohek, Borut Zalik, Libor Vasa, Andrej Nerat

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Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding by Dong-wei Xu, Yong-dong Wang, Li-min Jia, Gui-jun Zhang, Hai-feng Guo

“…Then, the road traffic spatial data compression based on LZW encoding is presented. The parameters determination is also discussed. …”
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Coordinated representations for naturalistic memory encoding and retrieval in hippocampal neural subspaces by Dasom Kwon, Jungwoo Kim, Seng Bum Michael Yoo, Won Mok Shim

“…Abstract Our naturalistic experiences are organized into memories through multiple processes, including novelty encoding, memory formation, and retrieval. However, the neural mechanisms coordinating these processes remain elusive. …”
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The Evolution of the Text Encoding Initiative: From Research Project to Research Infrastructure by Lou Burnard

Subjects: “…text encoding…”
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DNA-encoded dynamic hydrogels for 3D bioprinted cartilage organoids by Ziyu Chen, Hao Zhang, Jingtao Huang, Weizong Weng, Zhen Geng, Mengmeng Li, Jiacan Su

“…DNA, with its ability to be intricately encoded and reversibly cross-linked into hydrogels, offers precise manipulation at both molecular and spatial structural levels. …”
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Multi-Condition Remaining Useful Life Prediction Based on Mixture of Encoders by Yang Liu, Bihe Xu, Yangli-ao Geng

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