A New Control Scheme for Three-level Shunt Active Filter Using Artificial Neural Network Controllers to Eliminate the Current Harmonics and Compensate Reactive Power by Chenai Salim, Benchouia M.T

“…In order to gain the advantages of the three-level inverter and artificial neural networks and to reduce the complexity of classical control schemes, a new active power filter configuration controlled by two MLPNN (Multi-Layer Perceptron Neural Network) is proposed in this paper. …”
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The epithelial cell adhesion molecule EpCAM is required for epithelial morphogenesis and integrity during zebrafish epiboly and skin development. by Krasimir Slanchev, Thomas J Carney, Marc P Stemmler, Birgit Koschorz, Adam Amsterdam, Heinz Schwarz, Matthias Hammerschmidt

“…In addition, EpCAM is required for the interaction of the epithelia with underlying cell layers.…”
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Digital security risk identification and model construction of smart city based on deep learning by Zhilei Zhao

“…In order to deal with these problems, this paper designs a flexible three-layer architecture framework, and introduces a new intrusion detection feature selection method that combines flock optimization (CSO) and genetic algorithm (GA) to reduce the complexity of feature selection and enhance the detection and processing power of security vulnerabilities through deep neural networks (DNN). …”
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Dendritic overgrowth and elevated ERK signaling during neonatal development in a mouse model of autism. by Ning Cheng, Fawaz Alshammari, Elizabeth Hughes, Maryam Khanbabaei, Jong M Rho

“…Further, basal dendrites in the BTBR mice had higher branching complexity. In contrast, cross-sectional area of the soma was unchanged. …”
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Re-LSTM: A long short-term memory network text similarity algorithm based on weighted word embedding by Weidong Zhao, Xiaotong Liu, Jun Jing, Rongchang Xi

“…The hidden features and state information of the layer above each gate are considered for extracting more implicit features. …”
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On the Design of Junction Termination for 4H-SiC High-Voltage Devices by Zimo Yuan, Anders Hallen, Mietek Bakowski

“…A buried termination structure, where implanted zones are buried under a thin field buffer layer is proposed to obtain a nearly rectangular field distribution at the SiC/oxide interface. …”
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Image forgery detection algorithm based on U-shaped detection network by Zhuzhu WANG

“…Aiming at the defects of traditional image tampering detection algorithm relying on single image attribute,low applicability and current high time-complexity detection algorithm based on deep learning,an U-shaped detection network image forgery detection algorithm was proposed.Firstly,the multi-stage feature information in the image by using the continuous convolution layers and the max-pooling layers was extracted by U-shaped detection network,and then the obtained feature information to the resolution of the input image through the upsampling operation was restored.At the same time,in order to ensure higher detection accuracy while extracting high-level semantic information of the image,the output features of each stage in U-shaped detection network would be merged with the corresponding output features through the upsampling layer.Further the hidden feature information between tampered and un-tampered regions in the image upon the characteristics of the general network was explored by U-shaped detection network,which could be realized quickly by using its end-to-end network structure and extracting the attributes of strong correlation information among image contexts that could ensure high-precision detection results.Finally,the conditional random field was used to optimize the output of the U-shaped detection network to obtain a more exact detection results.The experimental results show that the proposed algorithm outperforms those traditional forgery detection algorithms based on single image attribute and the current deep learning-based detection algorithm,and has good robustness.…”
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XIAP protection of photoreceptors in animal models of retinitis pigmentosa. by Kevin C Leonard, Dino Petrin, Stuart G Coupland, Adam N Baker, Brian C Leonard, Eric C LaCasse, William W Hauswirth, Robert G Korneluk, Catherine Tsilfidis

“…Despite the complexity of the underlying genetic basis for RP, the final common pathway is photoreceptor cell death via apoptosis.…”
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A Machine Learning-Based Framework for Measuring Attack Surfaces of IoT Systems by Bandar M. Alshammari

“…Moreover, the latest increase in intelligent cyberattacks along with the complexity increase in IoT architectures place a greater risk that many of those cyberattacks will not be discovered until very late stages. …”
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Multi-Scale Construction Site Fire Detection Algorithm with Integrated Attention Mechanism by Haipeng Sun, Tao Yao

“…First, considering the wide range of scale variations in detected objects, an additional detection layer with a 64-times down-sampling rate is introduced to enhance the algorithm’s detection capability for multi-scale targets. …”
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Image-Based Malware Detection Using Deep CNN Models by hawraa omran musa, Muhanad Tahrir Younis

“…The architecture of the proposed CNN primarily consists of more than one convolutional layer, max-pooling, dropout to mitigate overfitting problem, fully connected layers for achieving better classification results. …”
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Self-Supervised Neural Networks for Precoding in MIMO Rate Splitting Multiple Access Systems by Dheeraj Raja Kumar, Carles Anton-Haro, Xavier Mestre

“…Complementarily, we compare their complexity in terms of the number of trainable parameters and computation time. …”
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A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

“…To address this, we propose the MTLPT: Multi-Task Learning with Position Encoding and Lightweight Transformer for Vulnerability Prediction, a novel multi-task learning framework that leverages custom lightweight Transformer blocks and position encoding layers to effectively capture long-range dependencies and complex patterns in source code. …”
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Design of an Optimal Convolutional Neural Network Architecture for MRI Brain Tumor Classification by Exploiting Particle Swarm Optimization by Sofia El Amoury, Youssef Smili, Youssef Fakhri

“…PSO systematically searches for an optimal configuration of architectural parameters—such as the types and numbers of layers, filter quantities and sizes, and neuron numbers in fully connected layers—with the objective of enhancing classification accuracy. …”
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The Relationship Among Trade Openness, Financial Development and Economic Growth Indicators and Income Distribution Inequality: Testing the Kuznets, Financial Kuznets, and Stolper-... by İsmail Hakkı İşcan, Tuğba Demirel

“…While the empirical underpinning within developed countries aligns with the Stolper-Samuelson premise, the observed outcomes in developing nations diverge from the tenets of the Stolper-Samuelson hypothesis, thereby introducing a layer of complexity to the overall findings.…”
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A unified elliptic curve cryptographic algorithm for secure communication and homomorphic encryption: A multi-parameter (Built-in CIA) Approach by Josepha Menandas J, Mary Subaja Christo

“…Data security is a critical concern due to the increasing volume and complexity of data being generated and processed. Data security involves implementing strategies, protocols, and technologies to safeguard data from unknown access, breaches, and other threats. …”
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Real time weed identification with enhanced mobilevit model for mobile devices by Xiaoyan Liu, Qingru Sui, Zhihui Chen

“…Also, existing methods generally use large, slow multi-layer convolutional networks (CNNs), which are impractical for use on mobile embedded devices. …”
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A Two-Phase Embedding Approach for Secure Distributed Steganography by Kamil Woźniak, Marek R. Ogiela, Lidia Ogiela

“…Subsequently, this internal key is further divided and embedded using a shared stego key known only to the sender and receiver, adding an additional security layer. The algorithm effectively reduces key management complexity while enhancing resilience against sophisticated steganalytic attacks. …”
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Multi-granularity representation learning with vision Mamba for infrared small target detection by Yongji Li, Luping Wang, Shichao Chen

“…Transformer with quadratic computational complexity struggles for local feature refinement. Inspired by the quad-directional scanning State Space Model (SSM) with linear complexity for long-range modeling, this research reconceptualizes the spatial and structural information of small targets in IR images. …”
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Two-stage Mamba-based diffusion model for image restoration by Lei Liu, Luan Ma, Shuai Wang, Jun Wang, Silas N. Melo

“…However, transformer-based methods face high computational costs due to quadratic complexity, while diffusion-based methods often struggle with suboptimal results due to inaccurate noise estimation. …”
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