SVPDSA: Selective View Perception Data Synthesis With Annotations Using Lightweight Diffusion Network by S. Raghavendra, Vijayalakshmi, Vainidhi, S. K. Abhilash, Venu Madhav Nookala, P. V. Arun Kumar, Ramyashree

“…The proposed model efficiently generates diverse synthetic images with high-quality perception annotations. …”
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Empowering Healthcare: TinyML for Precise Lung Disease Classification by Youssef Abadade, Nabil Benamar, Miloud Bagaa, Habiba Chaoui

“…Our data preprocessing included bandpass filtering and feature extraction through Mel-Frequency Cepstral Coefficients (MFCCs). We applied quantization techniques to ensure model efficiency. The custom CNN model achieved the highest performance, with 96% accuracy and 97% precision, recall, and F1-scores, while maintaining moderate resource usage. …”
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A DSP–FPGA Heterogeneous Accelerator for On-Board Pose Estimation of Non-Cooperative Targets by Qiuyu Song, Kai Liu, Shangrong Li, Mengyuan Wang, Junyi Wang

“…Optimization techniques, including batch normalization fusion, ReLU integration, and linear quantization, are applied to improve inference efficiency. …”
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QP-Adaptive Dual-Path Residual Integrated Frequency Transformer for Data-Driven In-Loop Filter in VVC by Cheng-Hsuan Yeh, Chi-Ting Ni, Kuan-Yu Huang, Zheng-Wei Wu, Cheng-Pin Peng, Pei-Yin Chen

“…As AI-enabled embedded systems such as smart TVs and edge devices demand efficient video processing, Versatile Video Coding (VVC/H.266) becomes essential for bandwidth-constrained Multimedia Internet of Things (M-IoT) applications. …”
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Unbiased analysis of obesity related, fat depot specific changes of adipocyte volumes and numbers using light sheet fluorescence microscopy. by Natalie Theobalt, Isabel Hofmann, Sonja Fiedler, Simone Renner, Georg Dhom, Annette Feuchtinger, Axel Walch, Martin Hrabĕ de Angelis, Eckhard Wolf, Rüdiger Wanke, Andreas Blutke

“…LSFM allows for accurate and efficient determination of relevant quantitative morphological adipocyte parameters. …”
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YOLO-RWY: A Novel Runway Detection Model for Vision-Based Autonomous Landing of Fixed-Wing Unmanned Aerial Vehicles by Ye Li, Yu Xia, Guangji Zheng, Xiaoyang Guo, Qingfeng Li

“…Third, the neck structure is reorganized as a bidirectional feature pyramid network (BiFPN) module with skip connections and attention allocation, enabling efficient multi-scale and across-stage feature fusion. …”
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BinaryViT: Binary Vision Transformer for Hyperspectral Image Classification by Xiang Hu, Taolin Liu, Zhe Guo, Yuxiang Tang, Yuanxi Peng, Tong Zhou

“…However, binary quantization in transformers faces challenges such as degradation of feature representation capability after binarizing self-attention mechanisms and decline in fusion efficiency of multiscale spectral–spatial information, leading to relatively lagging progress in this field. …”
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SOME POSSIBILITIES OF THE AERIAL DRONES USE IN PRECISION AGRICULTURE – A REVIEW by IOSIF IOJA, VALENTIN NEDEFF, MARICEL AGOP, FLORIN MARIAN NEDEFF

“…Vegetation indices are needed in agricultural remote sensing and precision agriculture because they provide quantitative and objective information on agricultural crops contributing to more efficient, sustainable and cost-effective land management. …”
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A Channel-Adaptive Range-Doppler Domain Filtering Serial BAQ Algorithm and Comparative Analysis by Tao Jiang, Fubo Zhang, Yi Xie, Chengwei Zhang, Longyong Chen, Yihao Xu, Haibo Tang

“…To address these issues, this paper introduces the Channel-Adaptive Range-Doppler domain filtering Serial Block Adaptive Quantization algorithm (CARDS-BAQ). By incorporating a point-frequency RD domain filtering approach and leveraging serial data matrix splicing and rollback combined with point-frequency ABAQ, CARDS-BAQ enables efficient data compression for arbitrary channel counts. …”
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Anatomy of Deep Learning Image Classification and Object Detection on Commercial Edge Devices: A Case Study on Face Mask Detection by Dimitrios Kolosov, Vasilios Kelefouras, Pandelis Kourtessis, Iosif Mporas

“…To leverage the computational power of the edge devices, the models have been optimized, first, by using the SOTA optimization frameworks (TensorFlow Lite, OpenVINO, TensorRT, eIQ) and, second, by evaluating/comparing different optimization options, e.g., different levels of quantization. Note that the five edge devices are evaluated and compared too, in terms of inference time, value and efficiency. …”
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Learned distributed image compression with decoder side information by Yankai Yin, Zhe Sun, Peiying Ruan, Ruidong Li, Feng Duan

“…Multi-view image compression aims to improve compression efficiency by leveraging correlations between images. …”
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Fluidization expansion of novel generation dense medium and flow regime transition in gas-solid separation fluidized bed by Chenyang Zhou, Yuemin Zhao, Chengguo Liu, Yanjiao Li, Zhonglin Gao, Xuchen Fan, Tatiana Aleksandrova, Chenlong Duan

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Simulation Research of Underground Gas Injection Flow Measurement Based on Fluid-Structure Coupled Heat Transfer Model by YU Jifei, YANG Shukun, XING Xuesong, ZOU Minghua, ZHAO Guangyuan, CHEN Huan, LI Yue, GONG Ruxiang

“…Downhole gas flow measurement is an important technical means to achieve accurate and quantitative stratified gas injection. However, due to the unfixed natural gas components and the complex conditions of underground high temperature and high pressure, the accurate flow measurement and on-site calibration face great challenges. …”
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POT1 stability and binding measured by fluorescence thermal shift assays. by Lynn W DeLeeuw, Robert C Monsen, Vytautas Petrauskas, Robert D Gray, Lina Baranauskiene, Daumantas Matulis, John O Trent, Jonathan B Chaires

“…These complementary assays provide efficient biophysical approaches for the quantitative characterization of multiple aspects of POT1 structure and function. …”
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The influence of digital transformation on the total factor productivity of enterprises: the intermediate role of human-machine cooperation by Qi Xiong, Jingyi Yang, Xiuwu Zhang, Yarui Deng, Yao Gui, Xiaoyang Guo

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Trends and technologies of video coding by Jiantong ZHOU, Haitao YANG, Dong LIU, Xiang MA, Tian WANG

“…The current video coding uses block based hybrid architecture,which uses predictive,transform,quantization and entropy coding techniques to efficiently compress video signals.Further optimizations on current architectures provide more flexible processing and coding for local characteristics of video image signals.Video coding based on machine learning was expected to change the existing hybrid coding framework partially or comprehensively,and bring new research ideas to video coding.In addition to existing 2D video signal,the future of video also needs to spherical video coding and volumetric video coding for AR/VR applications,the new video source data format of the video encoding technology has brought new opportunities and challenges.…”
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Machine-learning-aided analysis of relationship between crystal defects and macroscopic mechanical properties of TWIP steel by Marino Tanaka, Kai Sasaki, Jesada Punyafu, Mayu Muramatsu, Mitsuhiro Murayama

“…Abstract Establishing efficient methods to obtain quantitative data on crystal defect evolution is vital for understanding material properties. …”
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Scalable FPGA Implementation of a Reliability-Based Direct Turbo Decoder for Short Block Codes by Senthil Murugan, Ramesh Bhakthavatchalu, Karthi Balasubramanian, B. Yamuna, Deepak Mishra, Sree Ranjani Rajendran

“…Additionally, a fixed-point quantization study confirms that a 16-bit representation of reliability values introduces negligible error, offering further scope for area and power optimization. …”
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Perspectives and challenges in developing and implementing integrated dengue surveillance tools and technology in Thailand: a qualitative study. by Chawarat Rotejanaprasert, Peerawich Armatrmontree, Peerut Chienwichai, Richard J Maude

“…The development and utilization of quantitative tools and information technology show significant promise for enhancing public health policy decisions in integrated dengue control. …”
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Students' Responses and Perceptions in Learning Strategy of Ilmu al-Badi Based on Mind Maps l Istijabat al-Talabah wa Tasawuratihim fi Tatbiq Istiratijiyyah Ta’lim ‘Ilmi al-Badi’ a... by Hamzah Hamzah, Abd. Fattah, Boukhari Khaira

“…This research was classified as a quantitative research with a survey research design. …”
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