Designing Microfluidic-Chip Filtration with Multiple Channel Networks for the Highly Efficient Sorting of Cell Particles by Myung-Suk Chun

“…A model framework involving multiple side and multiple branch channels has been developed by extending the analytical analysis of three-dimensional laminar flow in channel networks, which was previously validated by comparison with numerical simulations. …”
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Energy efficient relay selection framework for 5G communication using cognitive radio networks by S. Esakki Rajavel, Stalin Allwin Devaraj, A. Andrew Roobert, Om Prakash Kumar, Shweta Vincent

“…This paper details an Electronic Energy Relay Selection (EERS) system. The weighted average function determines the optimal relays when the network communication power consumption and spectrum-detection levels are equal. …”
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Bluetooth-Based Dynamic Nexus Mesh Communication Network for High-Density Urban Interaction Spaces by Yufei Hu, Ngai Cheong, Muya Yao, Qingwen Long, Yide Yu

“…Traditional centralized network structures exhibit clear scalability and communication efficiency bottlenecks. …”
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Research on in-orbit self-organizing network strategy for cellularized spacecraft based on improved AODV protocol by JI Qingfeng, GUO Chongbin, CHEN Chao

“…Simulation experiments show that this strategy can effectively reduce the system power consumption and average delay of cellularized spacecraft in the orbit construction scenario, improve the network survival time, increase throughput, reduce packet loss rate and optimize the network topology. …”
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Weak Quasiperiodic Signal Propagation through Multilayer Feed-Forward Hodgkin–Huxley Neuronal Network by Yuangen Yao, Bowen Gong, Daxiang Lu, Rong Gui

“…Consequently, the external weak quasiperiodic signal introduced into all neurons in the first layer can be effectively transmitted through the whole feed-forward network via synchronization mechanism. In the case of time-periodic synaptic coupling intensity, when oscillatory frequency of synaptic coupling intensity is equal precisely to average frequency of external quasiperiodic signal, the propagation of weak quasiperiodic signal is optimal. …”
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The Spatial-Temporal Evolution on County Accessibility and Economic Impact of Baoding High-Speed Railway Network by Lei Qi, Fei Yu, Fangfang Zhang

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Klasifikasi Penyakit pada Tanaman Berdasarkan Citra Daun Menggunakan Metode Convolutional Neural Network by Denis Aji Pangestu, Okta Qomaruddin Aziz, Cahyo Crysdian

“…This research aims to develop a plant disease classification model using Convolutional Neural Network (CNN) to assist farmers in identifying diseases in rice, corn, tomato, and potato plants based on leaf images. …”
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NetCodeAIoT: Enhancing Augmented Intelligence of Things for Vehicle Systems in 5G Networks by Okuwudili Mathew Ugochukwu, Renata Lopes Rosa, Muhammad Saadi, Demostenes Z. Rodriguez, Frederico G. Guimaraes

“…Experimental evaluations were performed with NetCodeAIoT, demonstrating an improvement in network efficiency and a reduction in average time delay compared to traditional AIoT communication approaches.…”
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Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

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Spatial-Aware MANO Systems for Efficient Mobility Management of Satellite-Based Non-Terrestrial Networks by Jose Luis Avila, Hossein Rouzegar, Anna Calveras Auge, Joan Adria Ruiz-de-Azua

“…Network performance tests show transfer rates reaching up to 130 MB/s when satellites are optimally positioned. …”
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Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality by Mohammad Zangane, Mohammad Shahbazi, Seyed Ali Niknam

“…This work used the average surface roughness (Ra) as the main roughness attribute. …”
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An empirical study on the stochastic long-term travel demands of a large-scale metro network by Sen Huang, Xiangdong Xu, Yichao Pu

“…In contrast to the simple average-based data processing of OD passenger demand in metro networks, this paper presents a new perspective of mining long-term continuous data to understand the inherent stochasticity of OD passenger demands. …”
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CFR-YOLO: A Novel Cow Face Detection Network Based on YOLOv7 Improvement by Guohong Gao, Yuxin Ma, Jianping Wang, Zhiyu Li, Yan Wang, Haofan Bai

“…Then, we calculate the frame center of gravity and frame size based on these feature points to design the cow face detection CFR-YOLO network model. To optimize the performance of the model, the activation function of FReLU is used instead of the original SiLU activation function, and the CBS module is replaced by the CBF module. …”
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Infrared Imaging Detection for Hazardous Gas Leakage Using Background Information and Improved YOLO Networks by Minghe Wang, Dian Sheng, Pan Yuan, Weiqi Jin, Li Li

“…Finally, to further optimize the network performance, we pre-train the network using a large-scale smoke detection dataset that includes reference background information. …”
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Generalization of artificial neural network for predicting methane production in laboratory-scale anaerobic bioreactor landfills by M.J. Zoqi

“…The model was trained and optimized using the experimental data. The effectiveness and generalizability of the optimal neural network were evaluated by using it for the unseen data from other studies, ensuring its ability to make accurate predictions beyond the training dataset.FINDINGS: The results demonstrated that in System 1, ammonium and chemical oxygen demand concentrations in the leachate progressively increased to high levels. …”
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Rearrangeable-Nonblocking Five-Port Silicon Optical Switch for 2-D-Mesh Network on Chip by Ting Zhou, Hao Jia, Jincheng Dai, Shanglin Yang, Lei Zhang, Xin Fu, Lin Yang

“…We propose and experimentally demonstrate a five-port silicon optical switch based on the optimized Spanke–Beneš structure for 2-D-mesh network on chip. …”
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Channel Estimation Optimization Model in Internet of Things Based on MIMO/OFDM with Deep Extended Kalman Filter by Van Tinh Shi, Dong Ren Nhg

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Exploring the potential of cell-free RNA and Pyramid Scene Parsing Network for early preeclampsia screening by Zhuo Zhao, Xiaoxu Liu, Yonghui Guan, Chunfang Li, Zheng Wang

“…Subsequently, the real-world sequencing dataset was used to validate and optimize the network, ultimately outputting the PRI values of the healthy control group and the PE group (PSPNet-based PRI). …”
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GLN-LRF: global learning network based on large receptive fields for hyperspectral image classification by Mengyun Dai, Tianzhe Liu, Youzhuang Lin, Zhengyu Wang, Yaohai Lin, Changcai Yang, Riqing Chen

“…However, most current hyperspectral image classification networks follow a patch-based learning framework, which divides the entire image into multiple overlapping patches and uses each patch as input to the network. …”
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Deep reinforcement learning agents for dynamic spectrum access in television whitespace cognitive radio networks by Udeme C. Ukpong, Olabode Idowu-Bismark, Emmanuel Adetiba, Jules R. Kala, Emmanuel Owolabi, Oluwadamilola Oshin, Abdultaofeek Abayomi, Oluwatobi E. Dare

“…Reinforcement Learning (RL) in CRs helps predict spectral changes and identify optimal transmission frequencies. This work presents the development of Deep RL (DRL) models for enhanced DSA in TV Whitespace (TVWS) cognitive radio networks using Deep Q-Networks (DQN) and Quantile-Regression (QR-DQN) algorithms. …”
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