Grouting Mechanism of Cement-Based Slurry in a Concentric Annulus under High Groundwater Pressure by Weijie Zhang, Chenghao Han, Lianzhen Zhang, Jiuchuan Wei, Huiyong Yin, Weiwei Han, Chao Xie, Wenwu Zhou

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The Problem of Spurious Emissions in 5G FR2 Phased Arrays, and a Solution Based on an Upmixer With Embedded LO Leakage Cancellation by Arun Paidimarri, Yujiro Tojo, Caglar Ozdag, Alberto Valdes-Garcia, Bodhisatwa Sadhu

“…We then present some key radio architecture and circuit design considerations to help meet these emission requirements. …”
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Benefits of realist evaluation for rapidly changing health service delivery by Paula Kersten, Margaret Cupples, Rachel Thomas, Fiona Cramp, Nicola E Walsh, Justin Jagosh, Hannah Stott, Serena Halls, Cathy Liddiard, Dave Foster

“…However, when complex interventions are implemented in rapidly changing environments, there are many unpredictable forces that determine the programme’s scope and architecture, as well as resultant outcome. These forces can be theorised, in real time, and included in realist evaluation outputs for current and future optimisation of programmes. …”
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Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis by Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman

“…The model, based on a Visual Geometry Group (VGG) architecture with 19 layers, achieved an overall accuracy of 98%, with specific accuracies of 99% for RAF, 100% for BRB, 100% for RBF, and 95% for BBF. …”
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Traditional Chinese Medicine Prescription Generation Model Based on Search Enhancement by ZHAO Zijuan, REN Xueting, SONG Kai, QIANG Yan, ZHAO Juanjuan, ZHANG Junlong

“…In order to solve these problems, a hybrid neural network architecture for TCM prescription generation—PreGenerator is proposed. …”
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Real-Time Hardware-in-the-Loop Laboratory Testing for Multisensor Sense and Avoid Systems by Giancarmine Fasano, Domenico Accardo, Lidia Forlenza, Alfredo Renga, Giancarlo Rufino, Urbano Tancredi, Antonio Moccia

“…This paper focuses on a hardware-in-the-loop facility aimed at real-time testing of architectures and algorithms of multisensor sense and avoid systems. …”
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Transformer-based malware detection using process resource utilization metrics by Dimosthenis Natsos, Andreas L. Symeonidis

“…We compare the proposed Transformer-based architecture with the leading LSTM model in terms of accuracy, precision, recall, F1-score and training time, focusing on performance across varying sample sizes and validate our results with rigorous statistical methodologies. …”
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Hybrid Method for Point Cloud Classification by Abdurrahman Hazer, Remzi Yildirim

“…In this study, we introduce a novel hybrid ResPOL method that integrates a bidirectional architecture with a newly developed Patch-Offset Lambda (POL) mechanism for feature extraction from point cloud data. …”
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U-Sodar: Noncontact Vital Sign Detection Technology Based on Ultrasonic Radar by Shuaiming HUANG, Xiaohua ZHU, Wubin WANG, Heng ZHAO, Hong HONG

“…To address these challenges, this paper introduces a noncontact vital signal collection device using Ultrasonic radar (U-Sodar), including a set of hardware based on a three-transmitter four-receiver Multiple Input Multiple Output (MIMO) architecture and a set of signal processing algorithms. …”
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Aberrant c-AMP signalling in richter syndrome revealed by single-cell transcriptome and 3D chromatin analysis by Heng Li, Cheng Xing, Ji Li, Yihao Zhan, Ming Luo, Peilong Wang, Yue Sheng, Hongling Peng

“…Hi-C sequencing exposed a unique chromatin architecture in RS, with increased proximal and decreased distal interactions. …”
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A Dynamic Interval Auto-Scaling Optimization Method Based on Informer Time Series Prediction by Yu Ding, Chenhao Li, Zhengong Cai, Xinghao Wang, Bowei Yang

“…As an essential feature of container cloud platforms and cloud-native architecture, auto-scaling aims to automatically and quickly adjust the allocation of cloud resources according to the resource requirements of applications. …”
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PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs) by Wafa Alanazi, Di Meng, Gianluca Pollastri

“…We present a deep neural network architecture based on a combination of bidirectional recurrent neural networks and convolutional layers that can analyze long-range interactions within protein sequences and predict protein RSA using ESM-2 encoding. …”
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Wireless sensor networks and structural health monitoring: Experiences with slab track infrastructures by Eduardo Cañete, Jaime Chen, Manuel Díaz, Luis Llopis, Bartolomé Rubio

“…The second one tests the system in an actual, installed slab track to analyze the suitability of the communication architecture and to study a transition zone between slab tracks to a ballast track. …”
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Enhancing structural health monitoring of fiber-reinforced polymer composites using piezoresistive Ti3C2Tx MXene fibers by Bircan Haspulat Taymaz, Handan Kamış, Michal Dziendzikowski, Kamil Kowalczyk, Krzysztof Dragan, Volkan Eskizeybek

“…MXene, characterized by its 2D nanofiber architecture and exceptional properties, offers unique advantages for strain sensing applications. …”
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Design of generic vedic ALU using reversible logic by Kanchan S. Tiwari

“…This paper details the design and implementation of a low-power Generic Arithmetic Logic Unit (ALU) based on Vedic mathematics principles, constructed using reversible logic gates and implemented on an Artix-7 Field-Programmable Gate Array (FPGA).The Vedic mathematics principles are employed to derive efficient computational methods, and reversible logic is harnessed to achieve minimal power dissipation and reduced heat generation in the ALU. The proposed ALU architecture is optimized to perform fundamental arithmetic operations: addition, subtraction, multiplication, and division; as well as bitwise logical operations: AND, OR, and XOR. …”
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<i>VFL-Cafe</i>: Communication-Efficient Vertical Federated Learning via Dynamic Caching and Feature Selection by Jiahui Zhou, Han Liang, Tian Wu, Xiaoxi Zhang, Yu Jiang, Chee Wei Tan

“…Due to its unique training architecture, a key challenge of VFL is high communication cost due to transmitting intermediate results between the Active Party and Passive Parties. …”
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Comparative effects of graphene oxide on the interfacial transition zone in silica fume-modified cement mortar at varying water-to-binder ratios by Sumin Im, Seongmin Cho, Junxing Liu, Peiqi Li, Dahyung Jin, Sungwon Sim, Seungmin Lim, Sungchul Bae

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Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks by Mookala Premasudha, Bhumi Reddy Srinivasulu Reddy, Kwon-Koo Cho, Ahn Hyo-Jun, Jae-Kyung Sung, Nagireddy Gari Subba Reddy

“…An artificial neural network (ANN) model with a 6-22-22-22-1 architecture was trained on 85% of the data and tested on the remaining 15%, achieving an impressive accuracy of 97.3%. …”
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MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions by Zili Chen, Yilong Peng, Jiadong Jiao, Aiguo Wang, Laigang Wang, Wei Lin, Yan Guo

“…Building upon the Unet architecture, we developed the Multi-scale Residual Dilated Segmentation Model (MD-Unet) by enhancing the feature extraction module and integrating attention mechanisms. …”
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In Vitro Characterization of Multilamellar Fibers with Uniaxially Oriented Electrospun Type I Collagen Scaffolds by Alireza Hooshmand-Ardakani, Tahereh Talaei-Khozani, Mehdi Sadat-Shojai, Soghra Bahmanpour, Nehleh Zarei-fard

“…Fabrication of an appropriate scaffold is critical in order to recapitulate the architecture and functionality of the native tissue. …”
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