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  1. 141

    High-Density Arrayed Spectrometer with Microlens Array Grating for Multi-Channel Parallel Spectral Analysis by Fangyuan Zhao, Zhigang Feng, Shuonan Shan

    Published 2025-08-01
    “…To enable multi-channel parallel spectral analysis in array-based devices such as micro-light-emitting diodes (Micro-LEDs) and line-scan spectral confocal systems, the development of compact array spectrometers has become increasingly important. …”
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  2. 142

    Forward Kinematics for Parallel Platforms Based on the Integration of Residual Networks With Self-Attention and Error Compensation by Yi Hu, Fan Chen, Bo Zhu, Jin Jiang Liu, Wei Bing Cheng, Zhong Qing Zhang, Shijie Su

    Published 2025-01-01
    “…However, different parallel platforms have different closure structures, and their forward kinematics equations have high nonlinearity, leading to poor generalization, low efficiency, and precision in solving these equations. …”
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  3. 143
  4. 144

    A Lightweight Accountable Parallel Blockchain Architecture Based on Redactable Blockchain for Agri-Food Traceability by Feng Chen, Chunjiang Zhao, Xinting Yang, Na Luo, Chuanheng Sun

    Published 2025-02-01
    “…Secondly, a lightweight accountable parallel blockchain architecture called LAP-chain is proposed. …”
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  5. 145

    Evaluation of 16S rRNA Hypervariable Regions for Bioweapon Species Detection by Massively Parallel Sequencing by Victor H. G. Dias, Priscila da S. F. C. Gomes, Allan C. Azevedo-Martins, Bianca C. A. Cabral, August E. Woerner, Bruce Budowle, Rodrigo S. Moura-Neto, Rosane Silva

    Published 2020-01-01
    “…However, the development of massively parallel sequencing (MPS) offers enhanced sensitivity and specificity for microbiological analyses. …”
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  6. 146

    Approximated 2-Bit Adders for Parallel In-Memristor Computing With a Novel Sum-of-Product Architecture by Christian Simonides, Dominik Gausepohl, Peter M. Hinkel, Fabian Seiler, Nima Taherinejad

    Published 2024-01-01
    “…Novel computing paradigms such as in-memory computing (IMC) and approximate computing (AxC) provide promising solutions to this problem. Due to their low energy consumption and inherent ability to store data in a nonvolatile fashion, memristors are an increasingly popular choice in these fields. …”
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  7. 147
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  9. 149

    Unveiling thermal dynamics: Integrated experimental and simulation insights into large-scale parallel pulsating heat pipe by Shilong Fan, Zhiming Xu, Wei Li, Fumin Shang, Hongliang Chang

    Published 2025-09-01
    “…Results show that, in the x-axis orientation, the P-PHP exhibits remarkable adaptability to low heat input, achieving a rapid start-up time of just 205 s, while maintaining a temperature control threshold as low as 51.08 °C. …”
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  10. 150

    Parallel Computing pada Clustering K-Means untuk Analisis Keketatan Program Studi SNBT 2023 by Alif Faturahman Firdaus, Azzahra Fahriza Fitriani, Eddy Prasetyo Nugroho3

    Published 2025-05-01
    “…Jumlah cluster ditentukan menggunakan metode elbow, membagi data ke dalam tiga kategori: low, medium, dan high. Evaluasi clustering dilakukan dengan metrik silhouette score, yang menunjukkan bahwa Cluster 0 (low) memiliki kualitas terbaik dengan nilai silhouette score tertinggi. …”
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  11. 151

    Toward Sci-φ: A Lightweight Cloud PaaS for Developing Embarrassingly Parallel Applications Based on Jini by Patrizio Dazzi

    Published 2014-01-01
    “…As a consequence they do not require sophisticated, low-latency, high-bandwidth interconnection networks but can be efficiently computed in parallel by exploiting commodity hardware. …”
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  12. 152

    Network function parallelism configuration with segment routing over IPv6 based on deep reinforcement learning by Seokwon Jang, Namseok Ko, Yeunwoong Kyung, Haneul Ko, Jaewook Lee, Sangheon Pack

    Published 2025-04-01
    “…To reduce the SFC completion time while maintaining a low network overhead, we propose a deep-reinforcement-learning-based NFP algorithm (DeepNFP) that provides an SFC processing policy to determine the sequential or parallel processing of every service function. …”
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  13. 153
  14. 154

    Effect of dust particle distribution characteristics on the flow and heat transfer performance of parallel-plates flow channel by Li Mianchang, Deng June, Lao Cunjuan, Gao Wenbo, Xie Junsheng, Lai Yanjun, Zeng Xianrong, Yu Zhen, Wang Xintang

    Published 2025-01-01
    “…In addition, the effects of the particle size and flow velocity were calculated, and it was found that large particles and low velocity show a more pronounced effect on flow and heat transfer performance.…”
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  15. 155

    Unsupervised Anomaly Detection Method for Electrical Equipment Based on Audio Latent Representation and Parallel Attention Mechanism by Wei Zhou, Shaoping Zhou, Yikun Cao, Junkang Yang, Hongqing Liu

    Published 2025-07-01
    “…To address these challenges, this article proposes an unsupervised anomaly detection method for electrical equipment, utilizing audio latent representation and a parallel attention mechanism. The framework employs an autoencoder to extract low-dimensional features from audio signals and introduces a phase-aware parallel attention block to dynamically weight these features for an improved anomaly sensitivity. …”
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  16. 156

    Electromagnetic Transient Parallel Simulation of Large-Scale New Energy Grid Connection Based on PSCAD/EMTDC by Bin CAO, Liqiang WANG, Yongfei ZHAO, Xiuqi ZHANG

    Published 2020-11-01
    “…The electromagnetic transient model of Inner Mongolia power grid with new energy access is built based on PSCAD software to realize the accurate simulation of the electromagnetic transient of the whole network. Based on cluster parallel simulation technology, the problem that the computing scale is too large to be computed or the simulation efficiency is low is solved. …”
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  17. 157

    LSTM autoencoder based parallel architecture for deepfake audio detection with dynamic residual encoding and feature fusion by Priyanka Muruganandham, Govardhana Rajan Thangasamy, Sangeetha Jayaraman, Rekha Dharmarajan

    Published 2025-07-01
    “…The framework consists of two parallel modules: one leverages attention-enhanced LSTM with contrastive learning to highlight critical temporal cues, while the other amplifies real-vs-fake separability by computing residual differences across transformed audio variants. …”
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  18. 158
  19. 159

    Change in liking following reduction in sweetness level of carbonated beverages: a randomized controlled parallel trial by Eunice Mah, Alison Kamil, Traci M. Blonquist, Colin D. Rehm, Shankang Qu, Philip Stern, Alissa R. Wilson

    Published 2024-11-01
    “…Thus, we conducted two parallel, double-blind, randomized controlled trials in the USA and Mexico to investigate whether different methods of reducing sweetness could change sweetness preferences. …”
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  20. 160

    Enhancing inertia in parallel VSGs: A power distribution strategy with washout filtering and adaptive virtual impedance by Kali Charan Pradhan, Kanungo Barada Mohanty

    Published 2025-06-01
    “…Typically, traditional VSGs mimic the behavior of synchronous generators without concentrating on eliminating undesired low-frequency dynamics, which under some circumstances may cause their reaction to be less optimized or slower. …”
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