Deep Learning Model Compression and Hardware Acceleration for High-Performance Foreign Material Detection on Poultry Meat Using NIR Hyperspectral Imaging by Zirak Khan, Seung-Chul Yoon, Suchendra M. Bhandarkar

“…Hyperspectral imaging (HSI) offers a non-invasive mechanism to capture detailed spatial and spectral information, enabling the discrimination of different types of contaminants from poultry muscle and non-muscle external tissues. …”
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Application of Hybrid Transform Domain Digital Watermarking in Power System Information Security by Shaomin Zhu, Zhiqiang Zhang

“…According to energy distribution and visual masking in low frequency subband, the singular values of the selected low frequency subband blocks were adaptively applied quantization index modulation for embedding watermark information. …”
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Low-Power Branch CNN Hardware Accelerator with Early Exit for UAV Disaster Detection Using 16 nm CMOS Technology by Yu-Pei Liang, Wen-Chin Chao, Ching-Che Chung

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Automated and efficient Bangla signboard detection, text extraction, and novel categorization method for underrepresented languages in smart cities by Tanmoy Mazumder, Fariha Nusrat, Abu Bakar Siddique Mahi, Jolekha Begum Brishty, Rashik Rahman, Tanjina Helaly

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Large language model driven transferable key information extraction mechanism for nonstandardized tables by Rong Hu, Ye Yang, Sen Liu, Zuchen Li, Jingyi Liu, Xingchen Ding, Hanchi Sun, Lingli Ren

“…Additionally, our evaluation of multiple large language models of various sizes across 15 quantization strategies provides valuable insights for selecting and optimizing LLMs for key information extraction tasks, offering practical guidance for system development.…”
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Construction of a Scientific Literature AI Data System for the Thematic Scenario: Technical Framework Research and Practice by Zhijun CHANG, Li QIAN, Yaoting WU, Yunpeng QU, Yue GONG, Zhixiong ZHANG

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Design and Application of Automatic Preprocessing and Information Extraction of Enteromorpha Based on Remote Sensing Images by ZHANG Haorui, CHANG Junfang, FU Hongtao, WU Yuhua, CHEN Jian

“…This paper proposes a method of automatic preprocessing and information extraction of satellite remote sensing image data based on ENVI and ArcGIS, which is applied to satellite remote sensing monitoring of enteromorpha in the Yellow Sea. …”
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Mathematical model of speech signal leakage channels during discrete-quantified conversion by V. K. Zheleznjak, S. V. Lavrov, M. M. Baranouski, A. G. Filipovich

“…The purpose of the article is to estimate the leakage channel of a discrete-quantized speech signal with amplitude-pulse modulation. …”
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Information-extreme machine learning of wrist prosthesis control system based on the sparse training matrix by Suprunenko M. K., Zborshchyk O. P., Sokolov O.

“…The optimization parameter of the input information description, the training dataset, is the quantization level of electromyographic biosignals. …”
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A novel remote sensing method for monitoring Large-Scale grassland aboveground Biomass: The case study of grassland key belt in the Tibetan Plateau by Juan Wang, Aiwu Zhang, Jiancong Shi, Xiaoyan Kang, Nianpeng He, Xinwang Gao, Haiyang Pang

“…To achieve this, we used a bit-depth & residual quantization method for mining radiometric information from remote sensing images and integrated multimodal features, including remote sensing, terrain, and climate data, to accurately estimate AGB and generate an AGB distribution map. …”
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A One-Dimensional Depthwise Separable Convolutional Neural Network for Bearing Fault Diagnosis Implemented on FPGA by Yu-Pei Liang, Hao Chen, Ching-Che Chung

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DiscHAR: A Discrete Approach to Enhance Human Activity Recognition in Cyber Physical Systems: Smart Homes by Ishrat Fatima, Asma Ahmad Farhan, Maria Tamoor, Shafiq ur Rehman, Hisham Abdulrahman Alhulayyil, Fawaz Tariq

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Robust DOA Estimation via a Deep Learning Framework with Joint Spatial–Temporal Information Fusion by Yonghong Zhao, Xiumei Fan, Jisong Liu

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Deep learning system for the auxiliary diagnosis of thyroid eye disease: evaluation of ocular inflammation, eyelid retraction, and eye movement disorder by Yu Han, Jun Xie, Xiaoyu Li, Xinying Xu, Bin Sun, Han Liu, Chunfang Yan

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FL-QNNs: Memory Efficient and Privacy Preserving Framework for Peripheral Blood Cell Classification by Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, Bhavani Sankar Panda, Hardik Doshi, Nafeesh Ahmad, Vivek Bhardwaj, Gaurav Sharma

“…It is crucial for the transportation of oxygen and nutrients and for storing the health information of the human body. The body uses blood cells to fight against diseases and infections. …”
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Latent space improved masked reconstruction model for human skeleton-based action recognition by Enqing Chen, Xueting Wang, Xin Guo, Ying Zhu, Dong Li

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An Efficient Ship Target Integrated Imaging and Detection Framework (ST-IIDF) for Space-Borne SAR Echo Data by Can Su, Wei Yang, Yongchen Pan, Hongcheng Zeng, Yamin Wang, Jie Chen, Zhixiang Huang, Wei Xiong, Jie Chen, Chunsheng Li

“…Second, a dynamic quantization method is applied to the imaged range gate units to further determine the azimuth region. …”
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Adaptive JPEG steganography based on distortion cost updating by Guang-ming TANG, Yi SUN, Xiao-yu XU, Yu WANG

“…Previous adaptive JPEG steganography algorithms mostly calculate image distortion before secret information embedding,so they can’t dynamically adjust distortion costs.Considering the mutual impacts during embedding,an adaptive JPEG steganography algorithm based on distortion cost updating was proposed.Firstly,three factors that affect embedding fluctuations were analyzed,including quantization step,the absolute value of the quantized DCT coefficient to be modified and perturbation error.Then the embedding update strategy (EUS) was proposed,which enabled to dynamically update the distortion costs.After that,an adaptive JPEG steganography algorithm was implemented combining the strategy.The experimental result illustrates that the algorithm can significantly improve the secure performance of JPEG steganography algorithm.…”
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Multi-Aspect Interpolation Method for SAR Complex Images of Typical Aircraft Target Using Multi-Aspect Scattering Information Complex Generative Adversarial Network by Shixin Wei, Bing Han, Jiayuan Shen, Jiaxin Wan, Yugang Feng, Qianyue Xue

“…The former method provide descriptions of the target scattering so overly idealized that they are not real, while the latter method suffers from incomplete amplitude information and a loss of phase information in multi-aspect interpolation results due to the SAR images input into GANs being phaseless and amplitude-quantized. …”
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CSI feedback algorithm for massive MIMO systems based on SFNet by ZHANG Yun, HUANG Jingwei, XU Sunwu, GAO Gui, YU Shujuan, ZHAO Shengmei

“…To address the issues of high computational complexity, low feedback accuracy, and neglect of quantization loss in existing deep learning-based channel state information (CSI) feedback methods for frequency-division duplex massive multiple-input multiple-output (MIMO) systems, the deep learning algorithm SFNet for CSI feedback was proposed. …”
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