A KWS System for Edge-Computing Applications with Analog-Based Feature Extraction and Learned Step Size Quantized Classifier by Yukai Shen, Binyi Wu, Dietmar Straeussnigg, Eric Gutierrez

“…The filter bank is behaviorally modeled, making use of second-order band-pass transfer functions, simulating the analog front-end (AFE) processing. To enable efficient deployment, the GRU classifier is trained using a Learned Step Size (LSQ) and Look-Up Table (LUT)-aware quantization method. …”
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Deployable Deep Learning for Cross-Domain Plant Leaf Disease Detection via Ensemble Learning, Knowledge Distillation, and Quantization by Mohammad Junayed Hasan, Suvodeep Mazumdar, Sifat Momen

“…Our four-model ensemble (DenseNet-121, ResNet-101, DenseNet-201, EfficientNet-B4) achieves 99.15% accuracy via soft-voting. …”
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Secret Key Generation Driven by Attention-Based Convolutional Autoencoder and Quantile Quantization for IoT Security in 5G and Beyond by Anas Alashqar, Ehsan Olyaei Torshizi, Raed Mesleh, Werner Henkel

“…Additionally, a quantile-based quantization scheme is proposed to enhance key randomness and entropy, thereby strengthening security and resilience against potential threats. …”
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High-Throughput Adaptive Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning by Mostafa Naseri, Eli De Poorter, Ingrid Moerman, H. Vincent Poor, Adnan Shahid

“…Our approach is established on architectural modifications, notably through quantization and the incorporation of depthwise separable convolution, to achieve a balance between computational efficiency and performance. …”
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Quantitative Assessment of the Dynamics of Socioeconomic Processes by Romualdas Ginevičius, Martin Schieg, Magdalena Kot-Radojewska, Marta Jarocka

“…In this article, authors provide the quantitative assessment methodology to analyse the dynamics of socioeconomic processes. …”
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Quantitative RT-PCR: Pitfalls and Potential by Willard M. Freeman, Stephen J. Walker, Kent E. Vrana

“…Successful quantitative RT-PCR involves correction for experimental variations in individual RT and PCR efficiencies. …”
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Quantitative assessment of the potential of retail outlets by K. A. Lychagin

“…Improving  the  speed and  efficiency  of decision-making on the development  of sales of products by manufacturing companies  based on the application  of quantitative  estimates of the potential  of retail  outlets,  using automated  methods  of intellectual data analysis of Big Data.In order to create new mechanisms  for the intellectual  management of enterprises (economic agents) in the concept of the digital economy, it is necessary  to simulate  the  processes of their  interaction  in  the organizational  market  environment  from the perspective of   a multi-agent  approach.  …”
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Lightweight faster R-CNN for object detection in optical remote sensing images by Andrew Magdy, Marwa S. Moustafa, Hala M. Ebied, Mohamed F. Tolba

“…First, aware training employs mixed-precision FP16 computation, which enhances training speed by a factor of 1.5 to 5.5 while preserving model accuracy and optimizing memory efficiency. Second, post-training compression applies unstructured weight pruning to eliminate redundant parameters, followed by dynamic quantization to reduce precision, thereby minimizing the model size at runtime and computational load. …”
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Comparative Study on Growth Characteristics and Early Selection Efficiency of Hybrid Offspring of <i>Populus deltoides</i> ‘DD-109’ and <i>P. maximowiczii</i> in Liaoning, China... by Wei Liu, Chenggong Liu, Yan Zhang, Jinhua Li, Jiabao Ji, Xiaorui Qin, Fenfen Liu, Chengcheng Gao, Nairui Wang, Xueli Zhang, Ning Liu, Rusheng Peng, Qinjun Huang

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Low-Resolution Quantized Precoding for Multiple-Input Multiple-Output Dual-Functional Radar–Communication Systems Used for Target Sensing by Xiang Feng, Zhongqing Zhao, Jiongshi Wang, Jian Wang, Zhanfeng Zhao, Zhiquan Zhou

“…Furthermore, we propose a dynamic projection refinement algorithm within the alternating direction method of multiplier framework to efficiently solve these sub-problems. Numerical experiments demonstrate that our proposed method outperforms existing state-of-the-art techniques, particularly in terms of bit error rate in low signal-to-noise ratio scenarios.…”
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Market anomalies during COVID-19: the case of Kuwait, a GCC emerging market by Abdulrahman A. AlQuraishi

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Impact of artificial intelligence on auditing: an evaluation from the profession in Jordan by Esteban Pérez-Calderón, Samer Azeez Alrahamneh, Patricia Milanés Montero

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The Quantitative Assessment of the Cyclical Development in Modern Conditions by Dmitriy A. Endovitskiy, Nikolay P. Lyubushin, Nadezhda E.a Babicheva, Tatyana A. Pozhidaeva

“…The article studies applicability of the resource-oriented approach in assessing the impact of extensive and intensive factors on stable and continuous development of economic systems under cyclic conditions. The quantitative assessment of impact of efficient resource utilization on structural growth rates of the economy dependent on domestic public policy showed that excessive development of financial services makes the economy quite vulnerable to external factors. …”
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Quantitative analysis of wavelength dependence of thermal perception by Akihisa Nomoto, Yoshiichi Ozeki, Miyoko Oiwake, Ryo Hisayama, Yutaro Ogawa, Mizuho Akimoto, Shin-ichi Tanabe

“…However, these findings have not been quantitatively verified yet. The purpose of this study is to quantitatively analyze the effects of radiation of different wavelength ranges on thermal sensation. …”
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Accelerator mass spectrometry for quantitative in vivo tracing by John S. Vogel

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Quantitative detection of pseudouridine in RNA by mass spectrometry by Shanice Jessica Hermon, Anastasia Sennikova, Sidney Becker

“…In account of this, we report the usage of a chemical labelling strategy for the first quantitative detection of Ψ by mass spectrometry. We demonstrate a labelling efficiency exceeding 99% in isolated yeast tRNAs hosting multiple Ψs. …”
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Quantitative computational syntax: some initial results by Paola Merlo

“…In this paper, we discuss some recent results, where large-scale, data-intensive computational modelling techniques are used to address fundamental linguistic questions on the quantitative properties of abstract grammatical representations. …”
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An effective approach for real-time drowsy driving prediction using quantized fisher-Gabor features and latent-dynamic conditional random fields by Samy Bakheet, Ayoub Al-Hamadi, Abed Alanazi

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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…In this paper, we propose a framework that uses data-level approximate computing techniques, including by diverse sampling strategies, precision scaling, quantization, and feature selection methods, to evaluate the impact of these techniques on the computational efficiency and accuracy of KNN and SVM models. …”
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Space-to-Ground Communication for Columbus: A Quantitative Analysis by Thomas Uhlig, Thurid Mannel, Antonio Fortunato, Norbert Illmer

“…This paper focuses on operational voice communication and provides a quantitative overview of the balance achieved in the Columbus program between collaborative space/ground operations and autonomous on-board activity execution. …”
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