A Note on the Waiting-Time Distribution in an Infinite-Buffer GI[X]/C-MSP/1 Queueing System by A. D. Banik, M. L. Chaudhry, James J. Kim

“…Finally, a simple computational procedure (through solving a set of simultaneous linear equations) is proposed to obtain the “R” matrix of the corresponding GI/M/1-type Markov chain embedded at a prearrival epoch of a batch.…”
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Deteksi Berita Hoaks Berbahasa Indonesia Menggunakan One-Dimensional Convolutional Neural Network by Muhammad Zuama Al Amin, Muhammad Ariful Furqon, Dwi Wijonarko

“…Arsitektur 1D-CNN yang diusulkan mengintegrasikan lapisan-lapisan embedding, conv1d, batch normalization, globalmaxpooling1d, dense, dan dropout, untuk meningkatkan kemampuan generalisasi serta mengurangi risiko overfitting. …”
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Reduce the User Burden of Multiuser Myoelectric Interface via Few-Shot Domain Adaptation by Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen

“…Thus, FSSDA allows every target domain sample to be paired with all source domain samples and optimizes the feature distance between each target domain sample and the source domain samples within the same batch, instead of direct estimation of the data distribution of the target domain. …”
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Deep Cleaning of Crystal Violet and Methylene Blue Dyes from Aqueous Solution by Dextran-Based Cryogel Adsorbents by Maria Marinela Lazar, Roxana P. Damaschin, Irina Volf, Maria Valentina Dinu

“…To extend the application range of this biopolymer, in this study, we investigated the removal of crystal violet (CV) and methylene blue (MB) dyes from an aqueous solution by Dx-based cryogels using the batch technique. The cryogel adsorbents, consisting of cross-linked Dx embedding a polyphenolic (PF) extract of spruce bark, were prepared by the freeze-thawing approach. …”
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Recent advances in ultra-precision machining of lithium niobate crystals by Yebing TIAN, Chengwei WEI, Xiaomei SONG, Cheng QIAN

“…However, lapping for LiNbO3can easily lead to surface damage and abrasive embedding. During fixed abrasive lapping, abrasive embedding is effectively prevented, and surface and subsurface damage are reduced. …”
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Lack of biochemical signalling in GelMA leads to polarity reversion in intestinal organoids independent from mechanoreciprocity by Lenie Vanhove, Thomas Van Gansbeke, Bert Devriendt, Ruben Van der Meeren, Ruslan I. Dmitriev, Irina A. Okkelman

“…Xenogeneic tumour origin and batch-to-batch variability of Engelbreth-Holm-Swarm sarcoma tumour cell-derived hydrogels (Matrigel, Cultrex) limit the biomedical application of organoids in tissue engineering. …”
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Optimising Concrete Crack Detection: A Study of Transfer Learning with Application on Nvidia Jetson Nano by C. Long Nguyen, Andy Nguyen, Jason Brown, Terry Byrne, Binh Thanh Ngo, Chieu Xuan Luong

“…The results show that Resnet50 generally provides the highest validation accuracy (96% with the original dataset and a batch size of 16) and the highest validation F1-score (95% with the original dataset and a batch size of 16). …”
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Repair of infarcted myocardium by skeletal muscle-derived mesenchymal stromal cells delivered by a bioprinted collagen patch by Rose Guesdon, Serena Santoro, Audrey Cras, Etienne Pagin, Didier Serteyn, Justine Ceusters, Fabien Guillemot, Albert Hagège, Philippe Menasché

“…However, autologous sources (bone marrow and adipose tissue) require substantially invasive harvest procedures while allogeneic MSC from the cord raise the issue of batch to batch variability. This study assessed the effects of another under-investigated cell source: the skeletal muscle whose autologous MSC feature the clinically appealing advantage of being retrievable by a minimally invasive microbiopsy. …”
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Comparative Studies of the Adsorption of Direct Dye on Activated Carbon and Conducting Polymer Composite by J. Raffiea Baseri, P. N. Palanisamy, P. Sivakumar

“…Thermodynamic parameters for the adsorbents were also evaluated. The carbon embedded in conducting polymers matrix show better adsorptive properties than activated carbon.…”
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A framework of variable-length sequence data preprocessing based on semantic perception by WANG Xiaodong, WANG Jiwei, ZHONG Zhihao, YANG Huan, YAO Hongjing, GUO Yangming

“…Deep learning frameworks generally adopt padding or truncation operations toward variable-length sequences in order to use efficient yet intensive batch training. However, padding leads to intensive memory consumption, and truncation inevitably loses the original semantic information. …”
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A biocompatible supramolecular hydrogel mesh for sample stabilization in light microscopy and nanoscopy by Marko Lampe, Bart Dietrich, Joanna Wnetrzak, Tom Waring, Gareth Lycett, Marisa M. Merino, Dave J. Adams, Marco Marcello

“…Abstract Most embedding media for live and fixed samples were not designed for microscopy and have issues including long polymerization times, peak of toxicity toward the sample during the sol-gel transition, and irreversibility of this transition. …”
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SpaMask: Dual masking graph autoencoder with contrastive learning for spatial transcriptomics. by Wenwen Min, Donghai Fang, Jinyu Chen, Shihua Zhang

“…Compared to existing methods, SpaMask achieves superior clustering accuracy and effective batch correction.…”
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Spatio-Temporal AI Modeling for Urban Traffic Calibration: A SUMO-Based Approach by Pablo Manglano-Redondo, Alvaro Paricio-Garcia, Miguel A. Lopez-Carmona

“…The GATv2 layers, enhanced with residual connections and batch normalization, extract robust spatial embeddings, while the LSTM aggregates these embeddings over time to capture dynamic patterns and predict future traffic flows in real-time. …”
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Effective Parallel Processing Social Media Analytics Framework by Ravindra Kumar Singh, Harsh Kumar Verma

“…This framework is versatile enough to support batch processing along with real-time data streams in parallel and distributed environments. …”
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Reducing Memory and Computational Cost for Deep Neural Network Training with Quantized Parameter Updates by Leo Buron, Andreas Erbslöh, Gregor Schiele

“…For embedded devices, both memory and computational efficiency are essential due to their constrained resources. …”
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Quick-MIMIC: A Multimodal Data Extraction Pipeline for MIMIC with Parallelization by Yutao Dou, Wei Li, Yangtao Zheng, Xiaojun Yao, Huanxiang Liu, Albert Y. Zomaya, Shaoliang Peng

“…However, the opaque and non-standardised nature embedded in most medical data extraction is prone to batch effects and has become a significant obstacle to reproducing previous works. …”
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Background-Supported Global Feature Response Image Classification Network by JIANG Wentao, LI Weida, ZHANG Shengchong

“…Then, a full-domain feature response module BGR (background-supported global feature response) is proposed, and BGR is embedded into the residual branch to restore the image full domain features, which reduces the loss of feature information due to the convolution operation to a certain extent. …”
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Mission Sequence Model and Deep Reinforcement Learning-Based Replanning Method for Multi-Satellite Observation by Peiyan Li, Peixing Cui, Huiquan Wang

“…Additionally, scalable embeddings are employed to handle varying volumes of dynamic requests. …”
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Accelerating Streaming Subgraph Matching via Vector Databases by Liuyi Chen, Yi Ding, Xushuo Tang, Fangyue Chen, Siyuan Gong, Xu Zhou, Zhengyi Yang

“…In this paper, we adopt a framework that leverages a subgraph index based on graph embeddings, enabling effective caching and reuse of query results. …”
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Fault Diagnosis of Induction Motors Using Recurrence Quantification Analysis and LSTM with Weighted BN by Dengyu Xiao, Yixiang Huang, Chengjin Qin, Haotian Shi, Yanming Li

“…In addition, weighted batch normalization (BN), a modification of BN, is designed to evaluate the contributions of the three feature learning approaches. …”
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