FractalNet-based key generation for authentication in Voice over IP using Blockchain by Vajjala Sreenivasulu, Chinthaginjala Ravikumar

“…Thus, this paper proposes a new deep learning technique called FractalNet-based key generation (FractalNet-keyGen) for authentication in VoIP using Blockchain. …”
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An investigation of feature reduction, transferability, and generalization in AWID datasets for secure Wi-Fi networks. by Nashmia Khalid, Sadaf Hina, Khurram Shabih Zaidi, Tarek Gaber, Lee Speakman, Zainab Noor

“…A decision tree with a recursive feature elimination method was implemented for the extraction of the reduced features subset, and an additional feature wlan_radio.signal_dbm was used in combination with the extracted feature subset. Several deep learning and machine learning models were implemented, where DT and CNN achieved promising classification results. …”
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Ensemble of feature augmented convolutional neural network and deep autoencoder for efficient detection of network attacks by Selvakumar B, Sivaanandh M, Muneeswaran K, Lakshmanan B

“…A novel ensemble of deep learning technique is proposed to enhance the efficiency of Packet Flow Classification in Network Intrusion Detection System (NIDS). …”
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Machine learning and AI for advancing Parkinson's disease diagnosis: exploring promising applications by Shohreh Abdollahi, Ramin Safa

“…Accordingly, further research should explore deep learning methods and integrate additional data sources, such as gait analysis and genetic markers, to enhance diagnostic capabilities for Parkinson's disease.…”
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Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering by Senhui Wang

“…Finally, the model is examined using actual production data of a year from a sinter plant, and is compared with the algorithms of single ELM, GA-BP and deep learning method. A comparison is conducted to confirm the superiority of the proposed model with two traditional models. …”
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RETRACTED: Research on smart grid management and security guarantee of sports stadiums based on GCNN-GRU and self-attention mechanism by Song Li

“…Introduction: Smart grid management and security in sports stadiums have gained global attention as significant topics in the field of deep learning. This paper proposes a method based on the Graph Convolutional Neural Network (GCNN) with Gated Recurrent Units (GRU) and a self-attention mechanism. …”
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CNN-Trans-SPP: A small Transformer with CNN for stock price prediction by Ying Li, Xiangrong Wang, Yanhui Guo

“…Stock price prediction is particularly difficult due to the inherent complexity and stochastic nature of the stock market. Deep learning models offer a more robust solution to nonlinear problems compared to traditional algorithms. …”
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Improved COVID-19 Diagnosis Using a Hybrid Transfer Learning Model with Fuzzy Edge Detection on CT Scan Images by Hassan Salarabadi, Mohammad Saber Iraji, Mehdi Salimi, Mehdi Zoberi

“…Consequently, there is a need for a quick recognition system based on deep learning techniques to detect COVID-19 infection and prevent its spread. …”
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Abundant repressor binding sites in human enhancers are associated with the fine-tuning of gene regulation by Wei Song, Ivan Ovcharenko

“…Summary: The regulation of gene expression relies on the coordinated action of transcription factors (TFs) at enhancers, including both activator and repressor TFs. We employed deep learning (DL) to dissect HepG2 enhancers into positive (PAR), negative (NAR), and neutral activity regions. …”
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One-Shot Segmentation of Battery Cells with Gradual Learning by Johann Christopher Engster, Nele Blum, Laura Hellwege, Thorsten M. Buzug, Maik Stille

“…One aspect is the visualization of inner structures, which can be achieved by computed tomography (CT) as a non-destructive testing (NDT) method. Deep-learning tools can learn and perform different image processing tasks in the obtained volume quickly. …”
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Short Video Copyright Storage Algorithm Based on Blockchain and Expression Recognition by Yang Yang, Dingguo Yu

“…Moreover, the computing operation of deep learning technology on short video not only ensures the privacy of storage certificate information but also ensures the possibility of blockchain storage of video information. …”
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Efficient Image Super-Resolution with Multi-Branch Mixer Transformer by Long Zhang, Yi Wan

“… Deep learning methods have demonstrated significant advancements in single image super-resolution (SISR), with Transformer-based models frequently outperforming CNN-based counterparts in performance. …”
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Copyright protection of deep image classification models by Y.D. Vybornova, D.I. Ulyanov

“…With the growing number of tasks solved using deep learning methods, the need for protection against unauthorized distribution of the intellectual property such as pre-trained models of deep neural networks is growing. …”
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Environmental Fault Diagnosis of Solar Panels Using Solar Thermal Images in Multiple Convolutional Neural Networks by Tamilselvi Selvaraj, Ramasubbu Rengaraj, GiriRajanbabu Venkatakrishnan, SoundhariyaGanesan Soundararajan, Karuppiah Natarajan, PraveenKumar Balachandran, PrinceWinston David, Shitharth Selvarajan

“…A timely and accurate diagnosis of environmental faults reduces the damage caused by faults on the panel. In recent years, deep learning precisely convolutional neural networks have achieved wonderful results in many applications. …”
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Review of Recent Advances in Predictive Maintenance and Cybersecurity for Solar Plants by Younes Ledmaoui, Adila El Maghraoui, Mohamed El Aroussi, Rachid Saadane

“…It also highlights the Internet of Things (IoT), machine learning (ML), and deep learning (DL), which are all incorporated into solar panel predictive maintenance. …”
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A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

“…The UCI machine learning heart disease dataset compares the results and analyses of various machine learning approaches, including deep learning. We used a dataset with 13 primary characteristics to carry out the research. …”
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Maize quality detection based on MConv-SwinT high-precision model. by Ning Zhang, Yuanqi Chen, Enxu Zhang, Ziyang Liu, Jie Yue

“…To address these issues, this study employs the Swin Transformer as an enhanced base model, integrating machine vision and deep learning techniques for corn quality assessment. …”
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Fusing multispectral information for retinal layer segmentation by Xiang He, Fuwang Wu, Kaixuan Hu, Lizhen Cui, Weiye Song, Yi Wan

“…Abstract Extensive research on retinal layer segmentation (RLS) using deep learning (DL) is mostly approaching a performance plateau, primarily due to reliance on structural information alone. …”
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Nudibranch Suborders Classification based on Densely Connected Convolutional Networks by Timothy Christyan, Safitri Yuliana Utama, Bagus Tri Yulianto Darmawan, Faisal Dharma Adhinata

“…In this work, we make an Image Classification model for determining the suborder of a nudibranch using deep learning algorithms DenseNet and EfficientNet. The experiment is conducted using Google Colaboratory environment. …”
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Towards Pedestrian Target Detection with Optimized Mask R-CNN by Dong-Hao Chen, Yu-Dong Cao, Jia Yan

“…Aiming at the problem of low pedestrian target detection accuracy, we propose a detection algorithm based on optimized Mask R-CNN which uses the latest research results of deep learning to improve the accuracy and speed of detection results. …”
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