Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing by Aminudin Aminudin, Eko Budi Cahyono

“…Data tersebut diproses menggunakan salah satu model machine learning yaitu deep learning dengan membagi beberapa node yang telah terbentuk di lingkungan cloud computing dengan memanfaatkan library H2O. …”
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Leveraging public AI tools to explore systems biology resources in mathematical modeling by Meera Kannan, Gabrielle Bridgewater, Ming Zhang, Michael L. Blinov

“…Our approach can enhance the accessibility of systems biology for non-system biologists and help them understand systems biology without a deep learning curve.…”
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AI-assisted super-resolution cosmological simulations IV: An emulator for deterministic realizations by Xiaowen Zhang, Patrick Lachance, Ankita Dasgupta, Rupert A. C. Croft, Tiziana Di Matteo, Yueying Ni, Simeon Bird, Yin Li

“…Super-resolution (SR) models in cosmological simulations use deep learning (DL) to rapidly enhance low-resolution (LR) runs with statistically correct fine details. …”
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Research and Implementation of Fast-LPRNet Algorithm for License Plate Recognition by Zhichao Wang, Yu Jiang, Jiaxin Liu, Siyu Gong, Jian Yao, Feng Jiang

“…The license plate recognition is an important part of the intelligent traffic management system, and the application of deep learning to the license plate recognition system can effectively improve the speed and accuracy of recognition. …”
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An Event Causality Identification Framework Using Ensemble Learning by Xiaoyang Wang, Wenjie Luo, Xiudan Yang

“…The latest models introduce external knowledge and then use deep learning for causality prediction. However, event causality recognition still faces problems such as data imbalance and insufficient event content richness. …”
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Automated Shape Analysis and DEM Study on Graded Crushed Stone by Hao Bai, Ruidong Li, Xiangyu Hu, Fei Chen, Zhiyong Liao

“…In this study, the realistic particle outline is first automatically extracted based on digital image processing and deep learning algorithms. Then, the elongation (EI), roundness (Rd), and roughness (Rg) of GCS are quantified by shape evaluation algorithms. …”
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Learning-Based Dark and Blurred Underwater Image Restoration by Yifeng Xu, Huigang Wang, Garth Douglas Cooper, Shaowei Rong, Weitao Sun

“…Due to the high-quality training data, the proposed restoration algorithm based on deep learning achieves inspiring results for underwater images taken in a low-light environment. …”
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Entity Linking Based on Sentence Representation by Bingjing Jia, Zhongli Wu, Pengpeng Zhou, Bin Wu

“…Sentence representation, which has been studied based on deep learning approaches recently, can be used to resolve the above issue. …”
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Lightweight and Efficient CSI-Based Human Activity Recognition via Bayesian Optimization-Guided Architecture Search and Structured Pruning by Sungkwan Youm, Sunghyun Go

“…This paper presents an integrated approach to developing lightweight, high-performance deep learning models for human activity recognition (HAR) using WiFi Channel State Information (CSI). …”
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An Efficient Data Analysis Framework for Online Security Processing by Jun Li, Yanzhao Liu

“…None of them consider the problem that multidimension online temp data analysis in the cloud may appear as continuous and rapid streams, and the scalable analysis rules are continuous online rules generated by deep learning models. To address this problem, in this paper we propose a new LCN-Index data security analysis framework for large scalable rules in the industrial cloud. …”
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Gearbox Fault Identification and Classification with Convolutional Neural Networks by ZhiQiang Chen, Chuan Li, René-Vinicio Sanchez

“…Based on vibration signals, this paper presents an implementation of deep learning algorithm convolutional neural network (CNN) used for fault identification and classification in gearboxes. …”
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Adaptive Contrast Enhancement for Digital Radiographic Images using Image-to-Image Translation by Popp Ann-Kathrin, Schumacher Mona, Himstedt Marian

“…The contrast enhancement of an image can be considered as a style transfer or an image-to-image translation which is an important field in deep learning. Based on common methods like the pix2pix network that only translate from one domain into one other, we propose a method (cc-pix2pix) for translating into multiple domains in one training. …”
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Attention-assisted dual-branch interactive face super-resolution network by Xujie Wan, Siyu Xu, Guangwei Gao

“…We propose a deep learning-based Attention-Assisted Dual-Branch Interactive Network (ADBINet) to improve facial super-resolution by addressing key challenges like inadequate feature extraction and poor multi-scale information handling. …”
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Real-time event detection using recurrent neural network in social sensors by Van Quan Nguyen, Tien Nguyen Anh, Hyung-Jeong Yang

“…We proposed an approach for temporal event detection using deep learning and multi-embedding on a set of text data from social media. …”
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Application Research of Cross-Attention Mechanism for Traffic Prediction Based on Heterogeneous Data by Feng Zhihao

“…Through an analysis of these methods, the research demonstrates how applying advanced deep learning algorithms and cross-attention processes has significantly improved prediction robustness and accuracy. …”
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A Depth Camera-Based Intelligent Method for Identifying and Quantifying Pavement Diseases by Hao Bai, Xiangyu Hu, Fei Chen, Zhiyong Liao, Kai Li, Guangjiong Ran, Fengni Wei

“…The results show that the sensor can achieve plane fitting at investigated working distances by means of a deep learning network. In addition, two pavement examples show that the detection method can save a lot of manpower and improve the detection efficiency with certain accuracy.…”
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IRSnet: An Implicit Residual Solver and Its Unfolding Neural Network With 0.003M Parameters for Total Variation Models by Yuanhao Gong

“…However, the traditional iterative solvers require a large number of iterations to converge, while deep learning solvers have a huge number of parameters, hampering their practical deployment. …”
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Harnessing artificial intelligence and machine learning for fraud detection and prevention in Nigeria by Oluwaseun Isaac Odufisan, Osekhonmen Victory Abhulimen, Erastus Olarenwaju Ogunti

“…We explore various AI methodologies, including supervised, unsupervised, and deep learning. We discuss their applications in anomaly detection, behavioural analysis, risk scoring, and network analysis. …”
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Emotion Monitoring for Preschool Children Based on Face Recognition and Emotion Recognition Algorithms by Guiping Yu

“…For previous emotion recognition focusing on faces, we propose to obtain more comprehensive information from faces, gestures, and contexts. Using the deep learning approach, we design a more lightweight network structure to reduce the number of parameters and save computational resources. …”
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Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets by Kumar Abhishek, Aditi Jain, Ghassan Hamarneh

“…Abstract The remarkable progress of deep learning in dermatological tasks has brought us closer to achieving diagnostic accuracies comparable to those of human experts. …”
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