SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…The proposed convolutional neural network (CNN) model is comprised of six blocks placed at different layers. To enable the exhaustive evaluation of proposed framework across different datasets, the model has undergone training on a very complex HyperKvasir dataset, and later tested on Kvasir v1 and v2 datasets. …”
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LocSys: A Low-Code Paradigm for the Development of Cyber-Physical Applications by Konstantinos Panayiotou, Emmanouil Tsardoulias, Andreas L. Symeonidis

“…Application development for the cyber-physical systems (CPS) domain is considered a quite complex procedure, since it not only requires a high level of expertise but also deep knowledge of heterogeneous domains. …”
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Coil-Only High-Frequency Lamb Wave Generation in Nickel Sheets by Yini Song, Yihua Kang, Kai Wang, Yizhou Guo, Jun Tu, Bo Feng

“…This design offers significant advantages, enabling high-frequency Lamb wave generation in nickel sheets for ultrasonic detection while reducing device complexity. Experimental validation demonstrated that an S0-mode Lamb wave at a frequency of 2.625 MHz could be effectively excited in a 0.2 mm nickel sheet using a double-layer meander coil. …”
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Prediction of Lightweight AIS-Based Ship Trajectories with Spline Interpolation by Jiantao HU, Tianjiao LI, Hui LIU, Shuxin LI, Xu CHENG

“…Spline interpolation was used to fill in the missing AIS data, and a lightweight linear layer structure was introduced to reduce the complexity of the deep learning model. …”
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A Resilience Quantitative Assessment Framework for Cyber–Physical Systems: Mathematical Modeling and Simulation by Zhigang Cao, Hantao Zhao, Yunfan Wang, Chuan He, Ding Zhou, Xiaopeng Han

“…As cyber threats continue to grow in complexity and persistence, resilience has become a critical requirement for cyber–physical systems (CPSs). …”
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Aldehyde free - Bovine Pericardium – A New Option of Graft in Urethral Stricture Treatment by Luciano A. Favorito, Rodrigo R. Vieiralves, Arthur V. Batista, Renata Palopoli Silva, Luis Octavio Hauschild, Lucas A. M. Uneda, José A. D. Resende Júnior

“…ABSTRACT Objective: The current management for complex urethral strictures commonly uses open reconstruction with buccal mucosa urethroplasty. …”
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Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses by Luka Tas, Niels Hartog, Martin Bloemendal, David Simpson, Tanguy Robert, Robin Thibaut, Le Zhang, Thomas Hermans

“…Thick productive aquifer layers have been targeted first, as these are the most promising hydrogeological context for ATES. …”
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Secure Transmission of Optical DFT-S-OFDM Data Encrypted by Digital Chaos by Zanwei Shen, Xuelin Yang, Hao He, Weisheng Hu

“…This paper proposes and demonstrates a physical layer security-enhanced transmission scheme for discrete Fourier transform spread orthogonal frequency-division multiplexing (DFT-S-OFDM) signals in a passive optical network. …”
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Accurate Time-to-Target Forecasting for Autonomous Mobile Robots by Stefan-Alexandru Precup, Arpad Gellert, Alexandru Matei, Bogdan-Constantin Pirvu, Constantin-Bala Zamfirescu

“…In particular, the newly proposed BiLSTM model could train twice as fast as the Long Short-Term Memory network, despite the increased complexity generated by the addition of the backward layer. …”
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Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks by Mabrook S. Al-Rakhami, Salman A. AlQahtani, Abdulaziz Alawwad

“…It also includes a fully connected layer for classification. To evaluate the proposed architecture, we tested it on three datasets of varying complexity and size. …”
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Hybrid Swin-CSRNet: A Novel and Efficient Fish Counting Network in Aquaculture by Jintao Liu, Alfredo Tolón-Becerra, José Fernando Bienvenido-Barcena, Xinting Yang, Kaijie Zhu, Chao Zhou

“…Specifically, the VGG16 layer in the front-end is replaced with the Swin transformer to extract image features more efficiently. …”
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Real-time in-situ ultrasound monitoring of soft hydrogel 3D printing with subwavelength resolution by Teng Yang, Yuqi Jin, Lee Miller Smith, Narendra B. Dahotre, Arup Neogi

“…Abstract 3D bioprinting has excellent potential in tissue engineering, regenerative medicine, and drug delivery systems due to the ability to fabricate intricate structures that are challenging to make with conventional manufacturing methods. However, the complexity of parametric combinations and lack of product quality control have restricted soft hydrogel bioprinting from practical applications. …”
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Multi-Person Fall Detection Using Data Assimilation Method With Kalman Filter by Jinmo Yang, Ye Jin Jin, R. Young Chul Kim

“…Compared to other methods that analyze AI models’ hidden layers and the layer outputs for providing confidence of measurements, this approach has a big advantage of plug-and-play for the pose estimation models and other streaming models that provide confidence. …”
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Research on the Classification of Sun-Dried Wild Ginseng Based on an Improved ResNeXt50 Model by Dongming Li, Zhenkun Zhao, Yingying Yin, Chunxi Zhao

“…First, each convolutional layer in the Bottleneck structure is replaced with the corresponding Ghost module, reducing the model’s computational complexity and parameter count without compromising performance. …”
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Study on Separation of Desulfurization Wastewater in Ship Exhaust Gas Cleaning System with Rotating Dynamic Filtration by Shiyong Wang, Juan Wu, Yanlin Wu, Wenbo Dong

“…Current treatment methods for desulfurization wastewater in the ship exhaust gas cleaning (EGC) system face several problems, including process complexity, unstable performance, large spatial requirements, and high energy consumption. …”
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Non-Profiled Partial Nibble Recovery on Power Attack Resilient Adiabatic PRESENT Block Cipher Through AI Vulnerability Assessment by Anjana Jyothi Banu, A. A.

“…This study investigates the resilience of encryption keys in a circuit-level implementation by analyzing the complexity of nibble-based attacks. Specifically, Multi-Layer Perceptron (MLP) models are employed to target the round structure of the PRESENT lightweight block cipher. …”
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A composite Gauss–Legendre quadrature method for the Q-function approximation and its application in 6-bit symbol sequence modulation over generalised fading distributions by Abdulrahman Faris, Peter O. Akuon, Vitalice Kalecha Oduol

“…Additionally, BER expressions are employed to analyse the secrecy rate, revealing that higher-order SSM offers improved physical layer security.…”
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Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…A feature importance study is conducted using a decision tree algorithm, which selects only the most significant features to reduce computational complexity.ResultFeature classification is then performed using various machine learning and deep learning algorithms, including Support Vector Machines (SVM), Multi-Layer Perceptron (MLP), Cascade Correlation, GMDH Polynomial Neural Networks, and Linear Discriminant Analysis Among these classifiers, Probabilistic Neural Networks (PNN) consistently deliver the best results as 91.25% under 1,400 rpm.DiscussionBased on these findings, the Probabilistic Neural Network algorithm is identified as a robust and reliable prediction model for monitoring FSW tool conditions.…”
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Seismic characterization of lava flow facies in the critical zone of the deccan traps using shear wave velocity models by Rashi Sharma, Rahul Dehiya, Sudipta Sarkar, Raymond Duraiswami

“…Abstract The critical zone is the uppermost layer of Earth’s crust, where the geosphere, hydrosphere, atmosphere, and biosphere interact to sustain life. …”
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Broadband compact rectenna system using a Wilkinson power divider to harvest microwave energy by Milad Nosrati, Pejman Rezaei, Mohammad Danaie, Jafar Khalilpour

“…Abstract In the present study, a broadband symmetrical rectifier high-efficiency low-complexity single-layer cost-efficient system at 2–18 GHz frequency with horizontal and vertical polarization in receiver antennas has been proposed for harvesting radio frequency energy. …”
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