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  1. 221
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    Neural network quantification for solar radiation prediction: An approach for low power devices by Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante

    Published 2025-01-01
    “…Quantization enables complex predictive models to run on low-cost, energy-efficient devices, thereby democratizing advanced prediction technologies for critical applications like solar energy generation. …”
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    Article
  3. 223

    Adaptive key distillation from channel characteristics by Qiao DAI, Liang JIN, Kai-zhi HUANG

    Published 2014-01-01
    “…Approaches generating secret keys based on radio channel characteristics can’t guarantee the key length and system efficiency at the same time because of the low entropy rate or high disagreement ratio of keys.An adaptive key distillation scheme based on the quantization of channel state information was designed.An upper bounding function was used as an approximation of the real one to improve the entropy of keys under the constraint of disagreement rate.Based on this,the key agreement scheme resulting in longer keys was selected.Simulation results show that with this scheme,the length of key and efficiency of the system can be guaranteed at the same time.…”
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  4. 224

    An Improved Low-Bit-Rate Image Compression Framework Based on Semantic-Aware Model and Neighborhood Attention by Chengbin Zeng, Liang Zhang

    Published 2025-01-01
    “…This process can minimize quantization errors and facilitate efficient vector quantization. …”
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    Article
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    <italic>WhiteDwarf</italic>: A Holistic Co-Design Approach to Ultra-Compact Neural Inference Acceleration by Angel Lopez Garcia-Arias, Yasuyuki Okoshi, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura

    Published 2025-01-01
    “…The fabricated 40-nm CMOS chip, aimed at high inference accuracy and power efficiency, achieves 12.24 TFLOPS/W at 99% weight sparsity.…”
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    Article
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    Benchmarking of feed-forward neural network models for genomic prediction of quantitative traits in pigs by Junjian Wang, Francesco Tiezzi, Yijian Huang, Christian Maltecca, Jicai Jiang

    Published 2025-06-01
    “…Of the five linear methods, SLEMM-WW demonstrated the best balance of computational efficiency and predictive ability. GPUs offered significant computational efficiency gains for multi-layer FFNN models compared to CPUs, though FFNN models remained more computationally demanding than most linear methods. …”
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    Article
  10. 230

    Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

    Published 2025-07-01
    “…Advanced optimization algorithms were employed to efficiently address both the fitting and calculation tasks. …”
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    Article
  11. 231

    Quantitative characteristics of microstructure of shale reservoirs with different lithofacies in Dongying Sag, Jiyang Depression by NI Liangtian, DU Yushan, JIANG Long, YANG Feng, SUN Hongxia, FENG Mingshi, LIU Zupeng, LÜ Shichao, WANG Yunhe, LI Weizhong, LI Zhongxin

    Published 2025-07-01
    “…The “high-magnification large-field quantitative analysis methods” combining argon ion polishing and FE-SEM imaging were employed to comparatively analyze reservoir space types and quantitative pore structure characteristics of different lithofacies. …”
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    Article
  12. 232

    Quantitative Structuring of Academic Staff in HEIs: Analytics Tool for Data-Driven Decision-Making by Gaftandzhieva Silvia N., Doneva Rositsa Zh., Bliznakov Milen P.

    Published 2025-06-01
    “…This enables the optimization and promotion of the efficiency of human resource management processes. The results of the conducted experiments prove the tool’s effectiveness and applicability.…”
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    Article
  13. 233

    A method to obtain the quantitative orientation of semicrystalline structures in polymers by atomic force microscopy by V. Speranza, S. Liparoti, R. Pantani

    Published 2021-12-01
    “…A simpler and faster method to obtain the quantitative orientation of crystalline structures, based on atomic force microscopy, is introduced as a powerful alternative to the techniques mentioned above. …”
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    Article
  14. 234

    Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research by Nana Darna, Iwan Setiawan, M. Aziz Basari, Kasman Kasman

    Published 2024-07-01
    “…The selection of appropriate statistical test tools is a major challenge in quantitative research, and errors in their selection can affect the validity and reliability of research results. …”
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    Article
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    Quantitative study of the impact of land use change on groundwater level in the Songnen Plain, China by Zhong Lu, Jinliang Zhang, Dengming Yan, Chaoqun Li, Guoping Lei, Zhiqiang Dong, Quanlai Ma

    Published 2025-06-01
    “…This methodology aids in decision-making to enhance groundwater resource efficiency and optimize water resource management.…”
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    Article
  17. 237

    Plant SILAC: stable-isotope labelling with amino acids of arabidopsis seedlings for quantitative proteomics. by Dominika Lewandowska, Sara ten Have, Kelly Hodge, Vinciane Tillemans, Angus I Lamond, John W S Brown

    Published 2013-01-01
    “…To illustrate the utility of this method, we have combined the high labelling efficiency (>95%) with quantitative proteomics analyses of seedlings exposed to increased salt concentration. …”
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  18. 238

    Improving a novel quantitative randomized response method using auxiliary variable information by Hamed Salemian, Eisa Mahmoudi, Osama Abdulaziz Alamri, Javid Shabbir

    Published 2024-11-01
    “…In this paper, we propose a novel quantitative three-stage randomized response technique. …”
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    Article
  19. 239

    Embedding Social Perception Dimensions in a Semantic Space: Toward a Quantitative Synthesis by Xuanlong Qin, Tony Tam

    Published 2025-06-01
    “…However, their interrelationships are still difficult to define using conventional comparison methods, which often lack efficiency, validity, and scalability. To tackle this challenge, we employ a text-based computational approach to quantitatively represent each theoretical dimension of the models. …”
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  20. 240

    Study, qualitative-quantitative analysis, and sizing of the environmental impact of the photovoltaic panel recycling process by Yovera Cortez Marco Elias Antonio, Paragua-Macuri Carlos Alberto, Paragua Morales Melecio

    Published 2024-01-01
    “…This study investigates the efficiency and environmental impact of photovoltaic panel recycling processes through qualitative and quantitative analyses, focusing on three case studies in Peru. …”
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    Article