Distributed Event-Triggered Circle Formation Control for Multiagent Systems with Nonuniform Quantization by Jiayan Wen, Haijiang Zhang, Guangxing Tan, Ning Cai, Guangming Xie

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Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks by Chun Huang, Jiaying Shao, Baolei Peng, Qingshuang Guo, Panlong Li, Junwei Sun, Yanfeng Wang

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Decentralized non-convex online optimization with adaptive momentum estimation and quantized communication by Yunshan Lv, Hailing Xiong, Fuqing Zhang, Shengying Dong, Xiangguang Dai

“…To solve the problem over a communication-efficient manner, we propose a novel quantized decentralized adaptive momentum gradient descent algorithm based on the adaptive momentum estimation methods, where quantified information is exchanged between agents. …”
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Channel-Aware Adaptive Quantization Method for Source Localization in Wireless Sensor Networks by Guiyun Liu, Jing Yao, Yonggui Liu, Hongbin Chen, Dong Tang

“…This paper considers the problem of source localization using quantized observations in wireless sensor networks where, due to bandwidth constraint, each sensor's observation is usually quantized into one bit of information. …”
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ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network by Yiming Chen, Hui Zhang, Chen Zhang, Yi Liu

“…In response to the issue that post-training quantization leads to performance degradation in mobile deployment, as well as the problem that the balanced consideration of quantization deviation by Clipping optimization techniques limits the improvement of quantization accuracy, this article proposes a novel clipping optimization method named ClipQ, which pays different attention to the parameters, aiming to preferentially reduce the quantization deviation of important parameters. …”
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Hierarchical Mixed-Precision Post-Training Quantization for SAR Ship Detection Networks by Hang Wei, Zulin Wang, Yuanhan Ni

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Two-dimensional multi-scale permutation entropy algorithm based on uniform quantization by WANG Daming, SHI Pengfei, LEI Yihang, BIAN Haoran, LIANG Min, CHANG Liwei

“…In order to solve the problem that equal values in the subsequence lead to an increase in the probability of certain ordinal patterns when extending the permutation entropy algorithm to two-dimensional domain, a two-dimensional multi-scale permutation entropy based on uniform quantization (MUPE_2D) algorithm based on uniform quantization was proposed. …”
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On Channel Transforms to Enhance Reciprocity and Quantization in Physical-Layer Secret Key Generation by Ghalib Hussain, Syed Junaid Nawaz, Shurjeel Wyne, Mohammad N. Patwary

“…The SKG procedure involves various steps such as wireless channel probing, quantization, information reconciliation, and privacy amplification to render effective symmetric secret key bits. …”
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Synergistic Effect of Integrated Project Delivery, Lean Construction, and Building Information Modeling on Project Performance Measures: A Quantitative and Qualitative Analysis by Phuong Nguyen, Reza Akhavian

“…Qualitative analysis was performed through grounded theory while quantitative analysis was implemented using univariate and multivariate analysis of variance tests on schedule performance and cost performance. …”
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Univariate Neural Network Quantitative (NNQ) Approximation by Symmetrized Operators by George A. Anastassiou, Seda Karateke, Metin Zontul

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Classification of Incidental Carcinoma of the Prostate Using Learning Vector Quantization and Support Vector Machines by Torsten Mattfeldt, Danilo Trijic, Hans‐Werner Gottfried, Hans A. Kestler

“…Tumour vascularization (angiogenesis) and epithelial texture were investigated by quantitative stereology. Learning vector quantization (LVQ) and support vector machines (SVM) were used for the purpose of prediction of tumour category from a set of 10 input variables (age, Gleason score, preoperative PSA value, immunohistochemical scores for proliferation and p53‐overexpression, 3 stereological parameters of angiogenesis, 2 stereological parameters of epithelial texture). …”
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Projection-Free Methods for Online Distributed Quantized Optimization With Strongly Pseudoconvex Cost Functions by Xiaoxi Yan, Yu Li, Muyuan Ma

“…Considering that the communication capacity of multi-agent systems is often limited in practical applications, a random quantizer is introduced to reduce the transmission bits when agents exchange information over the network. …”
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Data-oriented optimized nonuniform quantization for CR-enhanced communication efficiency in federated learning by Shuai Luo, Qiming Wan, Hongrui Wang, Tianchun Xiang, Yang Wang, Xin He, Wei Zhang

“…Unlike conventional methods, which apply uniform quantization or fixed-level distributions, Non-QuanFL allocates more quantization levels to frequently occurring gradient values and minimizes distortion by preserving critical gradient information. …”
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Content-based image retrieval using block truncation coding based on edge quantization by Yan-Hong Chen, Ching-Chun Chang, Cheng-Yi Hsu

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Research of channel quantization and feedback strategies based on multiuser diversity MIMO-OFDM systems by LIANG Xue-jun, ZHU Guang-xi, SU Gang, WANG De-sheng

“…Firstly, a quantization method was proposed by quantized value indicating the modulation level instead of the full values of channel quality information（CQI） and the achievable average spectrum efficiency showed no loss compared with perfect case.Secondly, employment of the integrated design that combined with opportunistic, best, and hybrid feedback scheme was considered and the close-form expression of average spectrum efficiency was deduced in various case.Finally, the calculation of optimal feedback parameters was confirmed from two aspects of feedback channel capacity and capacity relative loss.Extensive simulations were presented to evaluate these proposed strategies.The results match with the numeral analysis very well.The proposed partial feedback schemes can reduce the feedback load greatly with the same system capability, only if the feedback parameters be chosen properly.Wherein, the hybrid feedback combined with quantization performs best and provides the instruction to design the channel feedback of practical systems.…”
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BiPruneFL: Computation and Communication Efficient Federated Learning With Binary Quantization and Pruning by Sangmin Lee, Hyeryung Jang

“…Existing solutions typically apply compression techniques such as quantization or pruning but only to a limited extent, constrained by the trade-off between model accuracy and compression efficiency. …”
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Improving reporting standards in quantitative educational intervention research: introducing the CLOSER and CIDER checklists by Rebecca Upsher, Eleanor Dommett, Sophie Carlisle, Sarah Conner, Geraldene Codina, Anna Nobili, Nicola C. Byrom

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Methodological approach to quantitative assessment of the security of open operating systems AS of the Internal Affairs Bodies by A. I. Yangirov, I. M. Yangirov, E. A. Rogozin, S. B. Akhlyustin

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Botanical remedies for livestock: A quantitative ethnoveterinary study in the Northeastern coastal region of Odisha, India by Keshari Prasad Mohanty, Suman Patra, Ramya Ranjan Paul, Kshan Prabha Sahoo

“… Compared to other coastal regions of India, research on the quantitative approach of ethnoveterinary useful plants is still scarce in the northeastern coastal region of Odisha. …”
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Non-Hermitian Control of Tri-Photon and Quad-Photon Using Parallel Multi-Dressing Quantization by Haitian Tang, Rui Zhuang, Jiaxuan Wei, Qingyu Chen, Sinong Liu, Guobin Liu, Zhou Feng, Yanpeng Zhang

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