POQ: Is There a Pareto-Optimal Quantization Strategy for Deep Neural Networks? by Floran De Putter, Sherif Eissa, Henk Corporaal

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Efficient Detection of Microplastics on Edge Devices With Tailored Compiler for TinyML Applications by Alessandro Cerioli, Lorenzo Petrosino, Daniele Sasso, Clement Laroche, Tobias Piechowiak, Luca Pezzarossa, Mario Merone, Luca Vollero, Anna Sabatini

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AI for Sustainable Recycling: Efficient Model Optimization for Waste Classification Systems by Oriol Chacón-Albero, Mario Campos-Mocholí, Cédric Marco-Detchart, Vicente Julian, Jaime Andrés Rincon, Vicent Botti

“…In this work, we extend our previous research by improving both dataset diversity and model efficiency. We introduce an expanded dataset that includes an organic waste class and more heterogeneous images, and evaluate a range of quantized CNN models to reduce inference time and resource usage. …”
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Effect of coarsely quantization on next generation systems with low-density parity check codes by Ehsan Mostafapour, Changiz Ghobadi, Javad Nourinia

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Performance and Efficiency Comparison of U-Net and Ghost U-Net in Road Crack Segmentation with Floating Point and Quantization Optimization by Haidhi Angkawijana Tedja, Onno W. Purbo

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Efficient secure federated learning aggregation framework based on homomorphic encryption by Shengxing YU, Zhong CHEN

“…In order to solve the problems of data security and communication overhead in federated learning, an efficient and secure federated aggregation framework based on homomorphic encryption was proposed.In the process of federated learning, the privacy and security issues of user data need to be solved urgently.However, the computational cost and communication overhead caused by the encryption scheme would affect the training efficiency.Firstly, in the case of protecting data security and ensuring training efficiency, the Top-K gradient selection method was used to screen model gradients, reducing the number of gradients that need to be uploaded.A candidate quantization protocol suitable for multi-edge terminals and a secure candidate index merging algorithm were proposed to further reduce communication overhead and accelerate homomorphic encryption calculations.Secondly, since model parameters of each layer of neural networks had characteristics of the Gaussian distribution, the selected model gradients were clipped and quantized, and the gradient unsigned quantization protocol was adopted to speed up the homomorphic encryption calculation.Finally, the experimental results show that in the federated learning scenario, the proposed framework can protect data privacy, and has high accuracy and efficient performance.…”
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Qualitative and quantitative indicators of efficiency of foreign activity in the region of the Russian Federation by H. P. Zhuravleva

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Efficient Capacity-Based Joint Quantized Precoding and Transmit Antenna Selection Using Cross-Entropy Method for Multiuser MIMO Systems by Jung-Chieh Chen, Min-Han Chiu, Yi-Syun Yang, Kuan-Yuen Liao, Chih-Peng Li

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SparseBatch: Communication-efficient Federated Learning with Partially Homomorphic Encryption by Chong Wang, Jing Wang, Zheng Lou, Linghai Kong, WeiSong Tao, Yun Wang

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CRITERIA OF THE ESTIMATION OF EFFICIENCY OF INNOVATIONS IN TRANSPORT BRANCH by N. A. Borodina

“…Efficiency of innovations in any economy branch, transportation included, may be assessed on the basis of qualitative and quantitative indices. …”
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Toward resource-efficient UAV systems: Deep learning model compression for onboard-ready weed detection in UAV imagery by Alwaseela Abdalla, Masara M.A. Mohammed, Oluwatola Adedeji, Peter Dotray, Wenxuan Guo

“…We fine-tuned the pruned model on the UAV dataset to mitigate any performance loss resulting from pruning. We then applied quantization to reduce the precision of numerical parameters and improve computational efficiency. …”
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Is banning Persistent Organic Pollutants efficient? A quantitative and qualitative systematic review in bats by Priscila Stéfani Monteiro-Alves, Elizabete Captivo Lourenço, Rodrigo Ornellas Meire, Helena Godoy Bergallo

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Calibrated optional randomized response techniques for efficient and robust estimation of quantitative sensitive variables by Ahmed Audu, Mojeed Abiodun Yunusa, Maggie Aphane, Maria Lekganyane

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Quantitative Criteria for Solvent Selection in Liquid-Phase Exfoliation: Balancing Exfoliation and Stabilization Efficiency by Shunnian Wu, W. P. Cathie Lee, Hashan N. Thenuwara, Ping Wu

“…These results establish a quantitative framework for solvent selection, enhancing the efficiency of the LPE processes.…”
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EFFICIENCY OF QUANTITATIVE ANALYSIS OF LUNG COMPUTED TOMOGRAPHY FINDINGS IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE by A. V. Kolsanov, P. M. Zel,ter, A. V. Kapishnikov, S. S. Chaplygin

“…Objective: to evaluate the efficiency of detection of emphysema in the analysis of lung computed tomography (CT) images using the “Autoplan” program and to compare the data of quantitative analysis and clinical indicators. …”
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Quantitative analysis of the efficiency dynamics of global liquefied natural gas shipping under COVID-19 by Hongchu Yu, Feng Chen

“…This paper proposes a quantitative method to model the impact of COVID-19 on global LNG shipping efficiency based on the spatiotemporal characteristics of behavior mining for LNG ships. …”
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Modeling the construction of an efficient customer club for the quantitative and qualitative development of increasing customers in the banking system by Ali Taher khani kojariha, Younos Vakil Alroaia

“…Abstract The purpose of the current research is to find a model to build an efficient customer club for the quantitative and qualitative development of increasing customers in the banking system. …”
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Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency by Zogaj Gani, Ismaili Florie, Idrizi Ermira, Luma Artan

“…Web application security is a critical aspect of modern cybersecurity, necessitating efficient and reliable vulnerability detection mechanisms. …”
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Quantitative design and realization of green technology for increasing the yield and nitrogen use efficiency of winter wheat by Chuan ZHONG, Wei ZHOU, Wuyang YU, Mingrong HE, Zhenlin WANG, Yuanjie DONG, Xinglong DAI

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Quantitative design and production methods for sustainably increasing maize grain yield and resource use efficiency by Huaxiang JI, Guangzhou LIU, Wanmao LIU, Yunshan YANG, Xiaoxia GUO, Guoqiang ZHANG, Zhiqiang TAO, Shaokun LI, Peng HOU

“…Then the maize population was optimized on the basis of quantitative design principles. By this approach, crop planting density was matched with solar radiation levels, the population structure was matched with appropriate cultivars, and the plow layer-root system-canopy functions were matched with grain yield to ensure increases in grain yield and resource use efficiency in maize production. …”
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