Improving the Accuracy of Batik Classification using Deep Convolutional Auto Encoder by Muhammad Faqih Dzulqarnain, Abdul Fadlil, Imam Riadi

“…This study highlights the potential of deep convolutional autoencoders as a powerful tool for augmenting image data and improving the performance of deep learning models in the context of batik image classification.…”
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Data-Driven Bearing Fault Diagnosis for Induction Motor by Aqib Raqeeb, Fahim Shah, Zaheer Alam, Subhashree Choudhury, Bilal Khan, R. Palanisamy

“…In contrast, our work leverages deep learning, particularly convolutional neural networks, to automatically extract fault features from raw data. …”
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Ringworm Detection and Diagnosis System. by Asiimwe, Joab, Barigye, Deus Dedet

“…This report presents a novel ringworm detection system utilizing deep learning and image processing. We carried out our research within a period of seven months and our system performed the desired work. …”
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MFBTFF-Net: A Novel Multi-Frequency Brightness Temperature Feature Fusion Network for Global Lunar Surface Oxides Abundance Estimation With Chang'e-2 Lunar Microwave Sounder... by Yu Li, Zifeng Yuan, Sarah Mazhar, Zhiguo Meng, Yuanzhi Zhang, Jinsong Ping, Ferdinando Nunziata

“…Moreover, existing machine/deep learning models may not be suitable for processing the data acquired in lunar exploration. …”
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Image depth estimation assisted by multi-view projection by Liman Liu, Jinshan Tian, Guansheng Luo, Siyuan Xu, Chen Zhang, Huaifei Hu, Wenbing Tao

“…Abstract In recent years, deep learning has significantly advanced the development of image depth estimation algorithms. …”
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Random features and polynomial rules by Fabián Aguirre-López, Silvio Franz, Mauro Pastore

“…Random features models play a distinguished role in the theory of deep learning, describing the behavior of neural networks close to their infinite-width limit. …”
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Transformer Inrush Current and Internal Fault Discrimination Using Multitypes of Convolutional Neural Network Techniques by Abedalgany Abedallah Athamneh, Ali Mohammad Alqudah

“…This paper presents a new proposed method to discriminate the transformer’s internal fault from the inrush current; the discrimination process is based on a convolutional neural network (CNN) with a combination of the higher order spectral estimations that perform a deep learning classification with high accuracy. This research succeeded in proposing two robust and efficient CNN models; the first one is the 1D CNN, which takes the sole signal without any transformation, while the second model is the 2D CNN, which takes the short-time Fourier transform of the signal. …”
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Real-Time Control of Intelligent Prosthetic Hand Based on the Improved TCN by Xiaoguang Liu, Jiawei Wang, Tingwen Han, Cunguang Lou, Tie Liang, Hongrui Wang, Xiuling Liu

“…In addition, the Temporal Convolutional Network (TCN) in deep learning has been improved to enhance the performance of the network. …”
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Intelligent Diagnosis of Rolling Bearing Fault Based on Improved Convolutional Neural Network and LightGBM by Yanwei Xu, Weiwei Cai, Liuyang Wang, Tancheng Xie

“…Aiming at the problems of weak generalization ability and long training time in most fault diagnosis models based on deep learning, such as support vector machines and random forest algorithms, one intelligent diagnosis method of rolling bearing fault based on the improved convolution neural network and light gradient boosting machine is proposed. …”
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Molecular optimization using a conditional transformer for reaction-aware compound exploration with reinforcement learning by Shogo Nakamura, Nobuaki Yasuo, Masakazu Sekijima

“…Because of recent advances in deep learning, molecular generative models have been developed. …”
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Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis. by Mwenge Mulenga, Arutchelvan Rajamanikam, Suresh Kumar, Saharuddin Bin Muhammad, Subha Bhassu, Chandramathi Samudid, Aznul Qalid Md Sabri, Manjeevan Seera, Christopher Ifeanyi Eke

“…Even the promising deep learning (DL) methods are not immune to these challenges. …”
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Target-Aware Deep Feature Compression for Power Intelligent Inspection Tracking by Wei Jiang, Zhimin Guo, Huanlong Zhang, Liyun Cheng, Yangyang Tian

“…Deep learning has brought revolutionary progress to computer vision, so intelligent inspection equipment based on computer vision has developed rapidly. …”
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Improved Convolutional Neural Image Recognition Algorithm based on LeNet-5 by Lijie Zhou, Weihai Yu

“…Convolutional neural network (CNN) is a very important method in deep learning, which solves many complex pattern recognition problems. …”
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PENERAPAN ARTIFICIAL INTELLIGENCE (AI) DALAM PERAMALAN AKUNTANSI TINJAUAN LITERATUR DAN AGENDA PENELITIAN MASA DEPAN by Gilang Surya Pratama, Agus Munandar

“…The analysis results show significant improvements in forecasting accuracy using AI technology, with Machine Learning achieving 78% accuracy in revenue forecasting, Deep Learning 85% in financial trend prediction, and Natural Language Processing 89% in sentiment analysis. …”
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Human Pose Estimation: Single-Person and Multi-Person Approaches by Tang Wan

“…According to their respective characteristics and application scenarios, single-person pose estimation is categorized into traditional methods and deep learning methods, while multi-person pose estimation is classified into top-down and bottom-up aspects. …”
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A New Type-3 Fuzzy PID for Energy Management in Microgrids by Weiping Fan, Ardashir Mohammadzadeh, Nasreen Kausar, Dragan Pamucar, Nasr Al Din Ide

“…In this study, for the first time, a new T3-FLS-based PID scheme with deep learning approach is introduced. In addition to rules, the parameters of fuzzy sets are also tuned such that a fast regulation efficiency is obtained. …”
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Attention and sentiment of Chinese public toward rural landscape based on Sina Weibo by Jinji Zhang, Guanghu Jin, Yang Liu, Xiyue Xue

“…This study proposes a deep learning-based model for Weibo data analysis aimed at exploring the development direction of rural landscapes from the perspective of the Chinese public. …”
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A Vehicle Detection Algorithm Based on Deep Belief Network by Hai Wang, Yingfeng Cai, Long Chen

“…In this work, a novel deep learning based vehicle detection algorithm with 2D deep belief network (2D-DBN) is proposed. …”
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Automated Stellar Spectra Classification with Ensemble Convolutional Neural Network by Zhuang Zhao, Jiyu Wei, Bin Jiang

“…Classification of stellar spectra by applying deep learning is an important research direction for the automatic classification of high-dimensional celestial spectra. …”
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Explicit Content Detection System: An Approach towards a Safe and Ethical Environment by Ali Qamar Bhatti, Muhammad Umer, Syed Hasan Adil, Mansoor Ebrahim, Daniyal Nawaz, Faizan Ahmed

“…The proposed ECD system is based on residual network (i.e., deep learning model) which returns a probability to indicate the explicitness in media content. …”
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