Building a Statistical Model to Detect Foreground Objects and using it in Video Steganography by Mithal Hadi Jebur, Fanar Ali Joda, Mohammed Abdullah Naser

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Spline approximation-based data compression for sensor arrays in the wireless hydrologic monitoring system by Danyang Li, Wei Huangfu, Keping Long

“…A lossy but error-bounded sensor array data compression algorithm is proposed, in which the major part of the sensor array data are approximated by the Catmull-Rom spline curve and the residual errors are quantized and encoded with Huffman coding. …”
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JSCC-Aided INR for High-Frequency Detail Preservation in LiDAR by Akihiro Kuwabara, Sorachi Kato, Toshiaki Koike-Akino, Takuya Fujihashi

“…However, the substantial volume of LiDAR data poses significant challenges for efficient compression and transmission. …”
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Scaling approaches for the prediction of human clearance of LNA-i-mir-221: A retrospective validation by Massimiliano Fonsi, Jacques Fulbert, Pierre-Andre Billat, Mariamena Arbitrio, Pierosandro Tagliaferri, Pierfrancesco Tassone, Maria Teresa Di Martino

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Trends in delivery hospitalizations and the impact of ICD-9-CM to ICD-10-CM-PCS transition in Portugal between 2010 and 2018 by Catarina de Paraíso Camarinha, Maria Miguel Gomes Oliveira, Cecília Elias, Miguel de Araújo Nobre, Leonor Bacelar Costa Nicolau, Cristina Furtado, Andreia Silva da Costa, Paulo Jorge da Silva Nogueira

“…Further research should incorporate private hospital data and continuously monitor coding practices to ensure reliable health data for research and policy-making.…”
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Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis by Yuxing Liu, Jintao Chen, Daifeng Yang, Chenming Liu, Chunhui Tang, Shanshan Cai, Yingxuan Huang

“…Abstract This study developed an immune-related long non-coding RNAs (lncRNAs)-based prognostic signature by integrating multi-omics data and machine learning algorithms to predict survival and therapeutic responses in breast cancer patients. …”
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“Conversing” With Qualitative Data: Enhancing Qualitative Research Through Large Language Models (LLMs) by Adam S. Hayes

“…This dialogue-like process speeds up traditional tasks—transcription, coding, theme identification—while sparking broader possibilities for exploration. …”
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Use of next-generation sequencing in genomic studies of polyploid crops: cotton as an example by Zhu Qianhao, Danny Llewellyn, Iain Wilson

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ScBlkCom: An Integrated Compression Algorithm for Single-Cell RNA Sequencing Data by Zhang Yuanxin, Lu Yang, Sun Xiao, Fan Jue

“…This study proposes ScBlkCom, a specialized compression scheme for scRNA-seq data. The method partitions sequencing data into distinct blocks and applies tailored compression strategies: differential encoding for numerical attributes, Huffman coding for categorical labels, and context-adaptive encoding for sequence identifiers. …”
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Survey on deep learning-based integrated sensing and communication systems by RAN Xinyi, CHEN Qianbin, XU Yongjun, ZUO Wenke, ZHAO Yun, CHEN Li

“…The rapid development of deep learning recently provided a novel paradigm to resolve these limitations, enabling systems to process massive data more effectively, achieve adaptive learning, and make intelligent decisions in complex environments, thereby optimizing system performance. …”
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Automatic Classification of BIM Object Based on IFC Data Using the Uniclass Classification Standard by Shi Tang, Takamasa Bito, Kazuya Shide

“…Therefore, this study proposes an automated method to classify BIM objects using IFC data under the Uniclass system, aiming to enhance standardization, semantic clarity, and practical applicability. …”
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Reversible data hiding and authentication scheme for encrypted image based on prediction error compression by Fang Ren, Zhelin Zhang, Kai Jiang, Peiyang Zhang, Tengfei Yang

“…This paper proposes a reversible data hiding and authentication scheme for encrypted images to implement reversible recovery and content authentication of cover images and secret data. …”
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Two-Layer Storage Scheme and Repair Method of Failure Data in Wireless Sensor Networks by Yulong Shen, Xiaowei Dang, Min Shu, Ning Xi, Jianfeng Ma

“…The storage scheme based on network coding is applied to data collection in wireless sensor networks because of its high reliability and low overhead. …”
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NetStart 2.0: prediction of eukaryotic translation initiation sites using a protein language model by Line Sandvad Nielsen, Anders Gorm Pedersen, Ole Winther, Henrik Nielsen

“…NetStart 2.0 was trained as a single model across multiple species, and despite the broad phylogenetic diversity represented in the training data, it consistently relied on features marking the transition from non-coding to coding regions. …”
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The Complete Mitochondrial Genome of <i>Acrossocheilus spinifer</i> (Osteichthyes: Cyprinidae) and Its Phylogenetic Analysis by Jian Gong, Shi-Qi She, Guang-Fu Liu, Xing-Xing Zhao, Le-Yang Yuan, E Zhang

“…Our findings provide valuable genetic data for further taxonomic refinement and conservation efforts for Chinese barred species of <i>Cyprinidae</i>.…”
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Redefining the Iranian Neighborhood Concept in Newly Developed Urban Contexts Based on Data Theory by mohsen Ilaghi, nima , Jahanbin, Iraj Ghasemi

“…NVivo software was used to analyze the qualitative data and coding and to evaluate the frequency of codes extracted from the interviews. …”
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Data Synchronization Design of Driver Display Unit Based on MVB and Ethernet Redundant Communication by RAO Tiangui, WANG Yu, ZHANG Yi

“…This design method is effectively compatible with the MVB data exchange method, and ensures the consistency of MVB data processing and Ethernet data processing by using function overload, and effectively prevents data analysis errors; the pulse is processed in a unified way, and the multi type pulse transmission only needs simple configuration without coding, which improves the development efficiency; the perfect synchronization method effectively ensures the correctness of data synchronization. …”
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Mitogenome data of Hylobates abbotti Kloss, 1929 (Abbott’s Gray Gibbon)GenBank by Nurthaqifah Samsudin, Jeffrine J. Rovie-Ryan, Faisal Ali Anwarali Khan, Azroie Denel, Melvin Terry Gumal, Sandy Ling, Han Ming Gan

“…The mitogenome is 16,501 base pairs in length, comprising 13 protein-coding genes, 2 rRNA genes, 22 tRNA genes, and a control region. …”
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Biological constraint in digital data encoding: A DNA based approach for image representation by Muhammad Rafi Muttaqin, Yeni Herdiyeni, Agus Buono, Karlisa Priandana, Iskandar Zulkarnaen Siregar, Wisnu Ananta Kusuma

“…Digital data encoding is crucial for communication and data storage, but conventional techniques, such as ASCII and binary coding, have drawbacks in terms of processing speed and storage capacity. …”
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A Semantically Enhanced Label Prediction Method for Imbalanced POI Data Category Distribution by Hongwei Zhang, Qingyun Du, Shuai Zhang, Renfei Yang

“…Considering the above problems, several negative samples are introduced for each input to a positive class, thereby transforming the multi-classification task into a binary classification problem. Simultaneously, POI data labels are introduced to provide explicit semantic information, and the semantic relationship between POI data labels and their names is determined using cross-coding. …”
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