Few-Shot Symbol Detection in Engineering Drawings by Laura Jamieson, Eyad Elyan, Carlos Francisco Moreno-García

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Improved lightweight health identification method for plug seedling based on FPGA by Yatao Li, Jiahang Jiang, Junlang Ou, Junhua Tong, Yufei Lin, Jintao Cao

“…The use of programmable FPGA instead of traditional PC computer can greatly reduce the processor volume, and accelerate the running speed of traditional algorithm for plug seedling information acquisition which can reduce the processor cost. …”
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Understanding the Influence of Image Enhancement on Underwater Object Detection: A Quantitative and Qualitative Study by Ashraf Saleem, Ali Awad, Sidike Paheding, Evan Lucas, Timothy C. Havens, Peter C. Esselman

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Inverse Rendering of Near-Field mmWave MIMO Radar for Material Reconstruction by Nikolai Hofmann, Vanessa Wirth, Johanna Braunig, Ingrid Ullmann, Martin Vossiek, Tim Weyrich, Marc Stamminger

“…Drawing inspiration from physically based rendering techniques in computer graphics, we formalize an advanced inverse rendering algorithm that integrates electromagnetic wave propagation models directly into the optimization process. …”
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Discussion on the common sense of the Internet of things by Yu SUN

“…The development of Internet of things (IoT) in China is in the second decade.First of all,the outcome of the IoT was reviewed.The industry formation and system structure of IoT were introduced.Then,the development process,trends and key points of the next generation of IoT were summarized in the aspect of the service platform,sensor industry,access links and fusion with technologies such as cloud computing,edge computing,big data,identity resolution,blockchain,satellite navigation system,5G and so on.Finally,the problems and possible ideas of the development of IoT in China were put forward in the fields of the application positioning,theoretical research,standard-setting and security.Hope to provide reference for colleagues to understand the IoT.…”
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Exploring Image Decolorization: Methods, Implementations, and Performance Assessment by Ivana Žeger, Ivan Šetka, Domagoj Marić, Sonja Grgic

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Hybrid Framework To Exclude Similar and Faulty Test Cases In Regression Testing by Muhammad Asim Siddique, Wan M.N. Wan-Kadir, Johanna Ahmad, Noraini Ibrahim

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Oil spill classification based on satellite image using deep learning techniques by Abubakar Salihu Abba, Noorfa Haszlinna Mustaffa, Siti Zaiton Mohd Hashim, Razana Alwee

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Decentralized knowledge assessment by Kai Sun, Liyi Zhou, Yike Guo

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Securing and optimizing optical transmission in quantum wells using OAM and advanced modulation techniques by Muhammad Ahmad, Zhiping Wang, Ming Fang, Zhixiang Huang, Guoda Xie

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A survey on detection and localisation of false data injection attacks in smart grids by Muhammad Irfan, Alireza Sadighian, Adeen Tanveer, Shaikha J. Al‐Naimi, Gabriele Oligeri

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An Iterative Pixel-Based Dimensional Voting Model for High Spatial-Resolution Image Classification by Muhamad Asyraf Mohd Pouzi, Haza Nuzly Abdull Hamed, Muhammad Razib Othman, Hishammuddin Asmuni, Mohd Adham Isa, Husni Ruslai

“…The model assigns a label to unknown pixels based on computed similarity measures and ranks to predict the class for the unknown pixel. …”
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Lightweight Multiscale Spatio-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition by Zhiyun Zheng, Qilong Yuan, Huaizhu Zhang, Yizhou Wang, Junfeng Wang

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Modernizing Transactional Systems: Deep Dive from Monolithic to Micro services Architectures by Krishna Kumaar Ragothaman

“… The modern digital era depends on the transactional systems to maintain and process larger volumes of real-time transactions diagonally with the sectors such as e-commerce, banking, and online reservations which makes sure the protected payment processing, accurate account preservation, and real-time accessibility, are evolved from conventional  monolithic and client-server architectures to more advanced micro services and server less computing models to meet increasing demands for accessibility, agility, and flexibility. …”
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Advancing Kidney Transplantation: A Machine Learning Approach to Enhance Donor–Recipient Matching by Nahed Alowidi, Razan Ali, Munera Sadaqah, Fatmah M. A. Naemi

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Algorithmic Approach of Majority Voting With Agents’ Inclusiveness for Facility Resource Matching by Peash Ranjan Saha, Salimur Choudhury, Kai Salomaa

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Research on Emotion Classification Based on Multi-modal Fusion by zhihua Xiang, Nor Haizan Mohamed Radzi, Haslina Hashim

“…Compared to single mode data ,the multi-modal data always contains massive information. The mining process of multi-modal information can help computers to better understand human emotional characteristics. …”
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Mobile application for wildlife capture–mark–recapture data collection and query by Heather L. Bateman, Timothy E. Lindquist, Richard Whitehouse, Maria M. Gonzalez

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A Federated Reinforcement Learning Framework via a Committee Mechanism for Resource Management in 5G Networks by Jaewon Jeong, Joohyung Lee

“…The DFRL framework boosts efficient virtual instance scaling in Mobile Edge Computing (MEC) environments for 5G core network automation. …”
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Enhanced detection of surface deformations in LPBF using deep convolutional neural networks and transfer learning from a porosity model by Muhammad Ayub Ansari, Andrew Crampton, Samer Mohammed Jaber Mubarak

“…Abstract Our previous research papers have shown the potential of deep-learning models for real-time detection and control of porosity defects in 3D printing, specifically in the laser powder bed fusion (LPBF) process. Extending these models to identify other defects like surface deformation poses a challenge due to the scarcity of available data. …”
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