A deep learning based prediction model for effective elastic properties of porous materials by Chang Liu, Ran Guo, Yangming Su

“…When conducting finite element numerical simulation analysis on porous materials, a large number of fine grids need to be divided, and the calculation process is time-consuming and laborious. This article randomly generates porous microstructure models through algorithms and uses efficient quadtree algorithms to calculate their mechanical properties, thereby obtaining a large amount of machine-learning sample data. …”
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Throw out an oligopeptide to catch a protein: Deep learning and natural language processing-screened tripeptide PSP promotes Osteolectin-mediated vascularized bone regeneration by Yu Chen, Long Chen, Jinyang Wu, Xiaofeng Xu, Chengshuai Yang, Yong Zhang, Xinrong Chen, Kaili Lin, Shilei Zhang

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An Integrated Learning Approach for Municipal Solid Waste Classification by Hieu M. Sondao, Tuan M. Le, Hung V. Pham, Minh T. Vu, Son Vu Truong Dao

“…During the feature selection phase, three metaheuristic algorithms—Whale Optimization Algorithm (WOA), Salp Swarm Algorithm (SSA), and Harris Hawk Optimization (HHO)—are applied to filter out irrelevant features and retain significant ones. …”
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Relationship-Based Ambient Detection for Concrete Pouring Verification: Improving Detection Accuracy in Complex Construction Environments by Seungwon Yang, Hyunsoo Kim

“…Experimental validation using 232 test images demonstrated a 12.07% improvement in detection accuracy and a 71% reduction in false positives compared with baseline YOLOv11. …”
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Enhancing Real-Time Emotion Recognition in Classroom Environments Using Convolutional Neural Networks: A Step Towards Optical Neural Networks for Advanced Data Processing by Nuphar Avital, Idan Egel, Ido Weinstock, Dror Malka

“…To address these limitations, an innovative feedback method has been proposed, utilizing image processing algorithms to dynamically assess the emotional states of students during lectures by analyzing their facial expressions. …”
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Prediction of peripheral lymph node metastasis (LNM) in thyroid cancer using delta radiomics derived from enhanced CT combined with multiple machine learning algorithms by Wenzhi Wang, Feng Jin, Lina Song, Jinfang Yang, Yingjian Ye, Junjie Liu, Lei Xu, Peng An

“…Methods Clinical and enhanced CT image data from 375 patients with thyroid cancer confirmed by postoperative pathology at Xiangyang No. 1 People's Hospital were collected from January 2015 to July 2023. …”
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Color-Distortion Correction for Jilin-1 KF01 Series Satellite Imagery Using a Data-Driven Method by Jiangpeng Li, Yang Bai, Shuai Huang, Song Yang, Yingshan Sun, Xiaojie Yang

“…Finally, we propose a novel post-processing algorithm to remove boundary artifacts caused by block-wise image processing, ensuring consistency and quality across the entire image. …”
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Investigation of treatment delay in a complex healthcare process using physician insurance claims data: an application to symptomatic carotid artery stenosis by Stephen Christopher van Gaal, Arshia Alimohammadi, Mohammad Ehsanul Karim, Wei Zhang, Jason Sutherland

“…Such flowcharts can now be generated by process discovery algorithms supplied with chronological records from real-world cases. …”
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Enhancing Fracture Detection in Remote Settings: Evaluating the Efficacy of FIXUS AI Deep Learning Algorithms in Identifying Fifth Metatarsal Fractures Using Mixed-Quality X-rays by Atta Taseh MD, Alireza Gholipour PhD, Mani Eftekhari, Alireza Ebrahimi MD, Alexandra F. Flaherty MD, MS, Alexandra F. Flaherty MD, MS, Sumner Jones, Varun Nukala, Gregory R. Waryasz MD, Daniel Guss MD, MBA, John Y. Kwon MD, Christopher W. DiGiovanni MD, Lorena Bejarano-Pineda MD, Soheil Ashkani-Esfahani MD

“…Our findings demonstrate a markedly reduced performance of the EHR model in identifying fractures within lower-quality images. This emphasizes the need for training algorithms on images of varying quality to create more generalizable models capable of operating effectively across diverse settings.…”
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Non-Destructive Identification of Virgin Cashmere and Chemically Modified Wool Fibers Based on Fractional Order Derivative and Improved Wavelength Extraction Algorithm Using NIR Sp... by Yaolin Zhu, Yong Zhang, Xin Chen, Jinni Chen, Hongsong Zhang

“…However, traditional spectral analysis and image processing methods struggle to identify the two fibers. …”
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Digital‐Analog Integrated Optoelectronic Memristor Based on Carbon Dot for Ternary Opto‐Electronic Logic and Sen‐Memory Applications by Jiaqi Xu, Xiaoning Zhao, Dan Xie, Ya Lin, Zhongqiang Wang, Zhuangzhuang Li, Haiyang Xu, Yichun Liu

“…In addition, the sen‐memory can perform image contrast enhancement operation as the preprocessing operation of the human retina, which can improve the subsequent image recognition rate in the processing tasks. …”
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Incoherent Optical Neural Networks for Passive and Delay-Free Inference in Natural Light by Rui Chen, Yijun Ma, Zhong Wang, Shengli Sun

“…Optical neural networks are hardware neural networks implemented based on physical optics, and they have demonstrated advantages of high speed, low energy consumption, and resistance to electromagnetic interference in the field of image processing. However, most previous optical neural networks were designed for coherent light inputs, which required the introduction of an electro-optical conversion module before the optical computing device. …”
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Exploring the process—structure–property relationship of nylon aramid 3D printed composites and parameter optimization using supervised machine learning techniques by Mohammed Raffic Noor Mohamed, Ganesh Babu Karuppiah, Dharani Kumar Selvan, Rajasekaran Saminathan, Shubham Sharma, Shashi Prakash Dwivedi, Sandeep Kumar, Mohamed Abbas, Dražan Kozak, Jasmina Lozanovic

“…The presence of surface pores, interior voids, and layer abnormalities is confirmed by FESEM images.…”
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Design an Efficient Neural Network to Determine the Rate of Contamination in the Tigris River in Baghdad City by Luma N. M. Tawfiq, Farah F. Ghazi, T. A. Jawad

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Data source and utilization of artificial intelligence technologies in vascular surgery—a scoping review by Katarzyna Powezka, Katarzyna Powezka, Katarzyna Powezka, Karin Slater, David Brind, Michael Wall, Michael Wall, Georgios Gkoutos, Maciej Juszczak, Maciej Juszczak

“…The AI algorithms were used for predictive modelling (123 papers), medical image segmentation (118), and to aid identification, detection, and diagnosis (103).DiscussionApplications of Artificial Intelligence (AI) are gaining traction in healthcare, including vascular surgery. …”
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Research on Calibration Method of Laser Camera Sensor by LIU Shiwang, HU Yunqing, LIN Jun

“…The algorithm uses the maximum likelihood estimation to reduce the error caused by image noise, and then the L-M method is used to find the optimal solution for the calibration parameters. …”
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Sporting a virtual future: exploring sports and virtual reality patents using deep learning-based analysis by Jea Woog Lee, Sangmin Song, JungMin Yun, Doug Hyun Han, YoungBin Kim

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Polarization-Modulation, I/Q-Demodulation Photonic Bandpass Sampling for Wideband, Multicarrier RF Application by Jieyu Ning, Yitang Dai, Feifei Yin, Junyi Zhang, Jianqiang Li, Wangzhe Li, Kun Xu

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Object Recognition and Positioning with Neural Networks: Single Ultrasonic Sensor Scanning Approach by Ahmet Karagoz, Gokhan Dindis

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A Rectangular Toroidal Current-Based Approach for Lung Biopsy Needle Tracking by Hongliang Pei, Qingwen Fan, Yixiang Duan, Lang Xiao

“…Induced voltages from multiple transmitting coils are processed using Fourier transform algorithms to separate frequencies, enabling the independent extraction of each coil’s signal. …”
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