A high-performance sub-THz planar antenna array for THz sensing and imaging applications by Muhammad Zubair, Abdul Jabbar, Farooq A. Tahir, Jalil ur Rehman Kazim, Masood Ur Rehman, Muhammad Imran, Bo Liu, Qammer H. Abbasi

“…Recently, research has focused on this terahertz gap, because of its unprecedented channel capacities. At the physical layer, the design complexities and fabrication of THz devices, especially antennas are the prime bottlenecks to realize its full potential. …”
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Progressive Pruning of Light Dehaze Networks for Static Scenes by Byeongseon Park, Heekwon Lee, Yong-Kab Kim, Sungkwan Youm

“…We develop a progressive pruning algorithm that aims to reduce computational complexity while maintaining dehazing quality within a specified threshold. …”
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CGLS Method for Efficient Equalization of OFDM Systems Under Doubly Dispersive Fading Channels with an Application into 6G Communications in Smart Overcrowded by Issa Haitham M. Ata

“…Because of its superior multipath channel performance and spectrum efficiency, orthogonal frequency-division multiplexing (OFDM) is one of the most suitable candidates for the 6G physical layer in contemporary applications like smart cities and crowded environments in a social Internet of Things (S-IoT) ecosystem. …”
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Spatial Analysis of the Relationship between Ecological Factors and Housing Prices in Tehran by Atefeh Kolyaei, Tahir Prizadi, Habibollah Fasihi

“…To analyze the correlation among variables, each vector layer was converted into a raster layer, allowing for the generation of point layers corresponding to the 400 housing price locations. …”
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Community structure and diversity of soil nematodes in different slope directions of wild cherry plum forests in Xinjiang, China by CAO Jing, CUI Dong, JIANG Zhicheng, YAN Jiangchao, WU Yunhao, LIU Junqi, GUO Jinfeng, HAN Yaxin, HAN Shutong

“…And as the depth of the soil layer increased, the density of soil nematodes gradually decreased. …”
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Mapping Small Extracellular Vesicle Secretion Potential in Healthy Human Gingiva Using Spatial Transcriptomics by Blanka Maria Borowiec, Małgorzata Blatkiewicz, Marta Dyszkiewicz-Konwińska, Dorota Bukowska, Bartosz Kempisty, Marcin Ruciński, Michał Nowicki, Joanna Budna-Tukan

“…Regenerative processes occur at various levels in all organisms, yet their complexity continues to raise new questions about their mechanisms. …”
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Root System Characteristics and Soil Consolidation Ability of Three Hippophae Rhamnoides Species in Feldspathic Sandstone Area by Bu Fanjing, Guo Yuefeng, Qi Wei, Zhang Yan, Wang Haoyue, Qi Huijuan

“…[Methods] The soil profiles were excavated in the field to obtain the root-soil complexes, and the root scanning and disintegration test were performed indoors. …”
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In Vitro Investigation of 3D Printed Hydrogel Scaffolds with Electrospun Tidemark Component for Modeling Osteochondral Interface by Victoria Effiong Effanga, Dana Akilbekova, Fariza Mukasheva, Xiao Zhao, Dilhan M. Kalyon, Cevat Erisken

“…The scaffold’s bottom layer was based on a gelatin/oxidized alginate mixture enriched with hydroxyapatite (HAp) to create a rougher surface and larger pores to promote osteogenesis. …”
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Interfacial Characteristics and Mechanical Performance of IN718/CuSn10 Fabricated by Laser Powder Bed Fusion by Xiao Yang, Guangsai Zou, Zheng Wang, Xinze He, Mina Zhang, Jingyu Xu

“…By precisely melting IN718 and CuSn10 powders layer by layer, the study directly fabricates multi-material IN718/CuSn10 joint specimens, thereby simplifying the complexity of traditional joining processes. …”
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Research on Lightweighting Methods for 3D Building Models Based on Semantic Constraints by J. Wu, T. Shen, L. Huo

“…However, the geometric complexity and the vast amount of data involved pose significant challenges for storage, computation, and efficient application. …”
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Secure OFDM Transmission Precoded by Chaotic Discrete Hartley Transform by Adnan A.E. Hajomer, Xuelin Yang, Weisheng Hu

“…We propose a chaotic discrete Hartley transform (DHT) to enhance the physical-layer security and simultaneously improve the transmission performance of optical orthogonal frequency division multiplexing (OFDM) in passive optical network. …”
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Enhanced Alzheimer’s Disease Prediction Through Integration of Protein-Protein Interaction Data and Meta-Learning by Hansa J. Thattil, M. N. Arunkumar, Francis Antony

“…Association between proteins and diseases have been widely studied to understand disease triggers and identify potential therapeutic targets. Deciphering the complexity of gene networks is crucial for understanding diseases. …”
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Experimental Study and Modelling of the Sublimation and Desorption Periods for Freeze Drying of Apple, Banana and Strawberry by Vıctor A. Reale, Ricardo M. Torrez Irigoyen, Sergio A. Giner

“…In the former, a model that predicts the sublimation rate as a function of time, considering the increasing dried layer thickness, was used, which improves greatly the sublimation time equation offered in several textbooks without adding much complexity. …”
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Knowledge Graph Completion With Pattern-Based Methods by Maryam Sabet, Mohammadreza Pajoohan, Mohammad Reza Moosavi

“…In the second phase, we mine frequent patterns from the expanded KG, extract connections between them and assign entities to the patterns that construct the abstraction layer. Based on the extracted patterns, connections, and entity assignments, a flow network is constructed on the abstraction layer in the third phase. …”
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TrainNet for locking state recognition of side door of railway freight car by Ning Xing, Cai Kangcheng, Zhou Shumin, Lan Xiangui, Lai Yihui

“…We designed an efficient layer aggregation network (ELAN)-S module in our TrainNet, which can be used with YOLOv7. …”
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OCT Angiography: An Upcoming Tool for Diagnosis and Treatment of Retinal Vascular Diseases by Purnima Sood, Nalini Saxena, Dinesh Talwar

“…Projection artifact, where the transit of blood cells in a superficial blood vessel cast flickering shadows on the deeper tissue layer that is indistinguishable from blood flow in deeper layer, is another limitation of this technology making it sometimes difficult to distinguish normal physiological vessels from pathological ones. …”
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Encrypted traffic identification method based on deep residual capsule network with attention mechanism by Guozhen SHI, Kunyang LI, Yao LIU, Yongjian YANG

“…With the improvement of users’ security awareness and the development of encryption technology, encrypted traffic has become an important part of network traffic, and identifying encrypted traffic has become an important part of network traffic supervision.The encrypted traffic identification method based on the traditional deep learning model has problems such as poor effect and long model training time.To address these problems, the encrypted traffic identification method based on a deep residual capsule network (DRCN) was proposed.However, the original capsule network was stacked in the form of full connection, which lead to a small model coupling coefficient and it was impossible to build a deep network model.The DRCN model adopted the dynamic routing algorithm based on the three-dimensional convolutional algorithm (3DCNN) instead of the fully-connected dynamic routing algorithm, to reduce the parameters passed between each capsule layer, decrease the complexity of operations, and then build the deep capsule network to improve the accuracy and efficiency of recognition.The channel attention mechanism was introduced to assign different weights to different features, and then the influence of useless features on the recognition results was reduced.The introduction of the residual network into the capsule network layer and the construction of the residual capsule network module alleviated the gradient disappearance problem of the deep capsule network.In terms of data pre-processing, the first 784byte of the intercepted packets was converted into images as input of the DRCN model, to avoid manual feature extraction and reduce the labor cost of encrypted traffic recognition.The experimental results on the ISCXVPN2016 dataset show that the accuracy of the DRCN model is improved by 5.54% and the training time of the model is reduced by 232s compared with the BLSTM model with the best performance.In addition, the accuracy of the DRCN model reaches 94.3% on the small dataset.The above experimental results prove that the proposed recognition scheme has high recognition rate, good performance and applicability.…”
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A Compact Dual-Band Antenna for Brain–Machine Interface and Skin-Implantable Biotelemetry Applications by Emtiaz Ahmed Mainul, Md. Faruque Hossain

“…Such a shorting pin or slot-free simple structure is an advantageous feature of the proposed antenna to reduce the fabrication complexity. In the seven-layer brain tissue model, the antenna operates at the bands of 2.47 and 4.8 GHz with impedance bandwidths of 21.21% and 25.27%, and the gains are −19.7 and −12.3 dBi, respectively. …”
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Energy and Spectrum Efficient Transmission Techniques Under QoS Constraints Toward Green Heterogeneous Networks by Haris Pervaiz, Leila Musavian, Qiang Ni, Zhiguo Ding

“…The numerical simulations demonstrate the effectiveness of our proposed two-layer framework achieving an upper bound Pareto optimal solution, which is very close to an optimal solution, with fast convergence, lower and acceptable polynomial complexity, and balanced EE–SE tradeoff.…”
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Plant attribute extraction: An enhancing three-stage deep learning model for relational triple extraction. by Zhihao Zong, Hongtao Shan, Gaoyu Zhang, George Xianzhi Yuan, Shuyi Zhang

“…This includes adjustment to the word embedding layer of BERT and optimization in relation prediction. …”
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