An HTML5-Based Pure Website Solution for Rapidly Viewing and Processing Large-Scale 3D Medical Volume Reconstruction on Mobile Internet by Liang Qiao, Xin Chen, Ye Zhang, Jingna Zhang, Yi Wu, Ying Li, Xuemei Mo, Wei Chen, Bing Xie, Mingguo Qiu

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The problem of analysis of big web data and the use of data mining technology for processing and searching patterns in big web data on a practical example by K. V. Mulyukova, V. M. Kureichik

“…The combination of object-oriented approach, neural networks and BI-analysis to filter data will speed up the process of data processing and obtaining the result of the studyConclusion. …”
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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

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Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Yangchen Li, Lingzhi Zhao, Tianle Wang, Lianghui Ding, Feng Yang

“…In this paper, we investigate federated learning (FL) efficiency improvement in practical edge computing systems, where edge workers have non-independent and identically distributed (non-IID) local data, as well as dynamic and heterogeneous computing and communication capabilities. …”
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Efficient multi‐perspective jamming feature perception network for suppressive jamming recognition with limited training samples by Minghua Wu, Yupei Lin, Dongyang Cheng, Xiaohai Zou, Bin Rao, Wei Wang

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Accelerated decoding method in fractal image coding by Qiang Wang

“…Experimental results show that about 5%–17% of total computations in decoding process can be saved.…”
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Degrade or Super-Resolve to Recognize? Bridging the Domain Gap for Cross-Resolution Face Recognition by Klemen Grm, Berk Kemal Ozata, Alperen Kantarci, Vitomir Struc, Hazim Kemal Ekenel

“…Additionally, our experiments also suggest that combining gallery degradation and face hallucination in a hybrid recognition scheme provides the best overall results for cross-resolution face recognition with relatively high-quality probe images, while the degradation process on its own is the more suitable option for low-quality probe images. …”
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Towards edge-collaborative, lightweight and privacy-preserving classification framework by Jinbo XIONG, Yongjie ZHOU, Renwan BI, Liang WAN, Youliang TIAN

“…Aiming at the problems of data leakage of perceptual image and computational inefficiency of privacy-preserving classification framework in edge-side computing environment, a lightweight and privacy-preserving classification framework (PPCF) was proposed to supports encryption feature extraction and classification, and achieve the goal of data transmission and computing security under the collaborative classification process of edge nodes.Firstly, a series of secure computing protocols were designed based on additive secret sharing.Furthermore, two non-collusive edge servers were used to perform secure convolution, secure batch normalization, secure activation, secure pooling and other deep neural network computing layers to realize PPCF.Theoretical and security analysis indicate that PPCF has excellent accuracy and proved to be security.Actual performance evaluation show that PPCF can achieve the same classification accuracy as plaintext environment.At the same time, compared with homomorphic encryption and multi-round iterative calculation schemes, PPCF has obvious advantages in terms of computational cost and communication overhead.…”
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SiP-Based SSBI Cancellation for OFDM by Mingyang Lyu, Wei Shi, Leslie Rusch

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Obtenção de volumes tumorais em pilhas de imagens PET usando técnicas de segmentação de imagens coloridas by Jose Wilson Vieira, Igor Fagner Vieira, Leanderson Pereira Cordeiro, Ferdinand Jesus Lopes Filho, Fernando Roberto de Andrade Lima

“…The tumor region was segmented into one of the images available and the procedure is shown in the tutorial format. All necessary computational tools have been implemented in DIP (Digital Image Processing), software developed by the authors. …”
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A novel deep learning approach to classify 3D foot types of diabetic patients by Pui-ling Li, Qin-feng Xiao, Kit-lun Yick, Qi-long Liu, Li-ying Zhang

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Power Load Forecasting Method Based on MT-BSGP by LI Zhi-yong, SU Yin-sheng, LI Bin, LIU Chun-xiao, LI Bao, TAN Shou-biao

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Inflectional Changes of Double Marked Form: Evidence from a Corpus Study of English Verbal System by Basima Othman Mahmood

“…A double-marked form in which the regular rule is added to an irregular form has been attested in languages of human beings and is considered as a type of irregularization in the morphological processing. It has been claimed that there is a correlation between this type of irregularization process and high word frequencies. …”
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Index-Matching Two-Photon Polymerization for Enhancing Machining Accuracy of Diffractive Neural Networks by Mabiao Fu, Xiaoguang Ma, Weihong Shen, Ruojing Ren, Qiming Zhang

“…Experimentally, the IM-TPP process enhances device accuracy by 3.00% (91.67% to 94.67%), closely matching the theoretical simulated accuracy of 95.03%. …”
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Machine learning driven digital twin model of Li-ion batteries in electric vehicles: a review by Muaaz Bin Kaleem, Wei He, Heng Li

“…Recently, researchers are working on the development of digital twin models to automate and optimize the BMS state estimation process by utilizing machine learning (ML) algorithms and cloud computing. …”
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Three-Dimensional Aeroelastic Investigation of a Novel Convex Bladed H-Darrieus Wind Turbine Based on a Two-Way Coupled Computational Fluid Dynamics and Finite Element Analysis App... by Tarek Elbeji, Wael Ben Amira, Khaled Souaissa, Moncef Ghiss, Hatem Bentaher, Nabil Ben Fredj

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Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling by Kumar Ghosh, Kavitha Yogaraj, Gabriele Agliardi, Piergiacomo Sabino, Fernandez-Campoamor Marina, Bernabe-Moreno Juan, Giorgio Cortiana, Omar Shehab, Corey O'Meara

“…In this article, we generalize the approximate quantum compiling algorithm into a new method for <sc>cnot</sc>-depth reduction, which is apt to process wide target quantum circuits. Combining this method with state-of-the-art techniques for error mitigation and circuit compiling, we present a ten-qubit experimental demonstration of iterative amplitude estimation on a quantum computer. …”
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Effectiveness of large language models and software libraries in sentiment analysis by Agnieszka WOJDECKA, Jakub GROMADZIŃSKI, Krzysztof WALCZAK

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CNN based plant disease identification using PYNQ FPGA by Vivek Karthick Perumal, Supriyaa T, Santhosh P R, Dhanasekaran S

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Imaging Estimation for Liver Damage Using Automated Approach Based on Genetic Programming by David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Socorro Herrera-Meza, Eduardo Rivadeneyra-Domínguez, Isaac Zamora-Bello, María Fernanda Almanza-Domínguez

“…Computer vision and image processing have become relevant in recent years due to their capabilities to support different tasks in several areas. …”
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