Integrating Tiny Machine Learning and Edge Computing for Real-Time Object Recognition in Industrial Robotic Arms by Nian-Ze Hu, Bo-An Lin, Yen-Yu Wu, Hao-Lun Huang, You-Xin Lin, Chih-Chen Lin, Po-Han Lu

“…Using Edge Impulse’s automated toolchain, real-time image processing and object recognition were realized. …”
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Machine learning for handover decision with mobile edge computing in 6G mobile network: a survey by Soule Issa Loutfi, Ibraheem Shayea, Ufuk Tureli, Ayman A. El-Saleh, Waheeb Tashan, Ramazan Caglar

“…The case becomes more critical with the implementation of Mobile Edge Computing (MEC), which will lead to making the handover decision process more challenging due to its characterization and high requirements. …”
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Improving Edge Quality of Liquid Crystal Display 3D Printing Using Local Dimming Method by Xing-Rui Ding, Zi-Hao Deng, Jia-Sheng Li, Rui-Xiang Qian, Bo-Wen Duan, Zong-Tao Li

“…By locally adjusting the backlight array's brightness to conform to the digital mask's shape, this study effectively suppresses LCD light leakage and improves edge definition. A comprehensive investigation into the LD method's process parameters—exposure time, pixel compensation coefficient, and initial backlight calculation—reveals significant improvements in print quality. …”
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Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios by Siqi Li, Weidong Li, Wanbo Zheng, Yunni Xia, Kunyin Guo, Qinglan Peng, Xu Li, Jiaxin Ren

“…Given the limited computational capacity of terminal devices, this paper optimizes the offloading decision-making process between terminal devices and MEC servers. …”
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A study on data analysis utilizing the K-edge absorption spectroscopy in mixed thorium and uranium solutions by Han Yang, Li Li, Quanwei Liu, Yingjie Ma, Jianbin Zhou, Liudong Hou, Yongquan Qin, Yantao Hu, Jing Ma

“…Upon analyzing and experimental results, it was determined that the cumulative counting method offers better accuracy and simplicity in processing the absorption spectrum. During the spectrum processing, adopting a wide region of interest enhances the precision of results and reduce relative deviations, while omitting background subtraction aids in simplifying the process. …”
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Research on Key Technology of Cloud-edge Coordinated Digital Twin Manufacturing Platform Towards Customized Production by HU Tianliang, ZHOU Shuaichang, MENG Qi, DONG Lili, ZHOU Tingting, LIU Xiaojun

“…The diversity of equipment and processes, coupled with fluctuating demand, continually alters the allocation of production resources. …”
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MAFONN-EP: A Minimal Angular Feature Oriented Neural Network based Emotion Prediction system in image processing by L.B. Krithika, G.G. Lakshmi Priya

“…Initially, the input video sequence are categorized into image frames that are pre-processed by eliminating the noise by using Weighted Median Filtering (WMF) technique and to separate the background and foreground regions using Edge Preserved Background Separation and Foreground Extraction (EPBSFE) technique. …”
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Impact of lower hybrid current drive on edge velocity shear and turbulence in the HL-2A tokamak by A.S. Liang, X.L. Zou, W.L. Zhong, G.L. Xiao, Z.C. Yang, J. Wen, R. Ke, X.X. He, A. Ekedahl, L. Delpech, D. Mazon, Y. Savoye-Peysson, G.T. Hoang, M. Jiang, X.Y. Bai, B. Lu, D.L. Yu, Z.B. Shi

“…However, the turbulence in the outer shear layer remains nearly unchanged during this process. The results indicate that LHCD can affect the edge plasma in tokamaks, particularly in enhancing edge shear flows and influencing turbulence, which is critical for achieving the edge transport barrier in fusion devices.…”
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A photovoltaic anomaly data identification method based on image feature detection by QIU Yutao, ZHANG Lei, ZHOU Kaiyun, YAN Min, SUN Jintong, LONG Huan

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Exploring the role of edges in surface functionalization and stability of plasma-modified carbon materials: Experimental and DFT insights by Divya Kumar, Marek Białoruski, Witold Piskorz, Andrzej Kotarba

“…Since the calculated activation barrier for recombination on basal graphenic planes (∼1.0 eV) and edges (∼5.5 eV) are distinctly different, it can be thus concluded that the persistent functionalization is due to the surface edges. …”
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Research on elite hierarchical task offloading strategy based on reinforcement learning in edge-cloud collaboration scenario by Juan FANG, Zhiyuan YE, Mengyuan ZHANG, Jiamei SHI, Ziyi TENG

“…With the development of 5G and the enrichment of application functions, applications have put forward higher requirements on the computing capabilities of terminal devices.In order to improve the computing capabilities of terminal devices on applications and reduce the processing time of tasks, it is aimed at mobile edge computing environments, a task offloading method for edge-cloud collaboration was proposed，and an elite hierarchical evolutionary algorithm combined with reinforcement learning (RL-EHEA) was designed to perform offloading decisions, so that multiple tasks with dependencies and deadlines compete for computing resources.The simulation experiment results show that, compared with genetic algorithm (GA) and elite genetic algorithm (EGA), RL-EHEA can shorten task processing time and obtain better resource allocation strategy.…”
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A model of unsteady mechanodiffusion vibrations of a rectangular orthotropic Timoshenko plate with mixed edge fixing by Zemskov Andrei, Vestyak Anatoly, Tarlakovskii Dmitry

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Cutting-Edge Microwave Sensors for Vital Signs Detection and Precise Human Lung Water Level Measurement by Anwer S. Abd El-Hameed, Dalia M. Elsheakh, Gomaa M. Elashry, Esmat A. Abdallah

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Edge Computing-Based Real-Time Forest Fire Detection Using UAV Thermal and Color Images by Lingxia Mu, Yichi Yang, Ban Wang, Youmin Zhang, Nan Feng, Xuesong Xie

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Edge intelligence for poultry welfare: Utilizing tiny machine learning neural network processors for vocalization analysis. by Ramasamy Srinivasagan, Mohammed Shawky El Sayed, Mohammed Ibrahim Al-Rasheed, Ali Saeed Alzahrani

“…This study addresses this gap by developing and deploying Tiny ML models on low-power edge devices to monitor chicken vocalizations. The focus is on overcoming challenges such as memory limitations, processing power, and battery life to ensure practical implementation in agricultural settings. …”
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Enhancing YOLOv11 for Real-Time Object Detection: Advanced Architectures and Edge-Optimized Training Pipeline by Sivadi Balakrishna, Shivani Yadao, Vijender Kumar Solanki

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A double-edged sword in antiviral defence: ATG7 binding dicer to promote virus replication by Yaotang Wu, Yang Wu, Chenlu Wang, Ningna Xiong, Wenxin Ji, Mei Fu, Junpeng Zhu, Zhixin Li, Jian Lin, Qian Yang

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Enhancing energy efficiency and cpu utilization in edge computing through deep learning-based data smoothing by Himabindu Sathyaveti, C. Gomathy

“…These enhancements help increase the eco-friendly and resourceful nature of edge computing. Results from experiments show that SOResNet improves both performance and energy efficiency in edge data processing for real-time systems.…”
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Unveiling the cutting-edge applications of nanotechnology in the food industry- from lab to table-a comprehensive review by Shweta, A.M. Brindhav, Sunny Sharma, Samareddin Azizi, Vishal Singh Rana

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A Secure Medical Data Framework Integrating Blockchain and Edge Computing: An Attribute-Based Signcryption Approach by Tengyue Dou, Zhiming Zheng, Wangjie Qiu, Chunxia Ge

“…The framework collects data via smart devices, which is then processed and encrypted at edge nodes and stored securely on the blockchain. …”
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