Utilization of Artificial Intelligence for the automated recognition of fine arts. by Ruhua Chen, Mohammad Reza Ghavidel Aghdam, Mohammad Khishe

“…Fine art recognition, traditionally dependent on human expertise, is undergoing a significant transformation with the integration of Artificial Intelligence (AI) and deep learning. This article introduces a novel AI-based approach for fine art recognition, utilizing Convolutional Neural Networks (CNNs) and advanced feature extraction techniques. …”
Get full text

An Improved Prediction Model of IGBT Junction Temperature Based on Backpropagation Neural Network and Kalman Filter by Yu Dou

“…In the future, the application of neural networks or deep learning in power electronics will create more possibilities.…”
Get full text

A Discourse Coherence Analysis Method Combining Sentence Embedding and Dimension Grid by Lanlan Jiang, Shengjun Yuan, Jun Li

“…In this paper, we propose a discourse coherence analysis method combining sentence embedding and the dimension grid, we obtain sentence-level vector representation by deep learning, and we introduce a coherence model that captures the fine-grained semantic transitions in text. …”
Get full text

Severe deviation in protein fold prediction by advanced AI: a case study by Jacinto López-Sagaseta, Alejandro Urdiciain

“…Abstract Artificial intelligence (AI) and deep learning are making groundbreaking strides in protein structure prediction. …”
Get full text

Cryptocurrency Financial Risk Analysis Based on Deep Machine Learning by Si Chen

“…Transaction plan considered building nodes in terms of network. Development of deep learning algorithms opens the horizons for the development of electronic businesses that use digital currency. …”
Get full text

Proposed Detection Face Model by MobileNetV2 Using Asian Data Set by Phat Nguyen Huu, Vinh Tran Quang, Chau Nguyen Le Bao, Quang Tran Minh

“…Therefore, we propose a model capable of distinguishing between masked and nonmasked faces using a convolutional neural network (CNN) based on deep learning (DL)—MobileNetV2 in this paper. The model can detect people who are not wearing masks. …”
Get full text

Prediction of Ubiquitination Sites Using UbiNets by Sarthak Yadav, Manoj Gupta, Ankur Singh Bist

“…The main target of this paper is to explore the significance of deep learning techniques for the prediction of ubiquitination sites in protein sequences. …”
Get full text

Super-Resolution and Large Depth of Field Model for Optical Microscope Imaging by Ruo-Peng Zheng, Shu-Bin Liu, Lei Li

“…Due to the limitation of numerical aperture (NA) in a microscope, it is very difficult to obtain a clear image of the specimen with a large depth of field (DOF). We propose a deep learning network model to simultaneously improve the imaging resolution and DOF of optical microscopes. …”
Get full text

RETRACTED: Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm by Longjun Guo, Juan Wang, Jiaqi Teng, Yukun Chen

“…As the development of deep learning DL-based bone age prediction methods have achieved great success. …”
Get full text

Enhancing of teaching and learning through constructive alignment by G. E. Dames

“… This article elucidates issues about practical knowledge/deep learning on the current teaching and learning preaching practices in the Department of Practical Theology at the Faculty of Theology of the University of the Free State. …”
Get full text

A Comparative Study of Some Automatic Arabic Text Diacritization Systems by Ali Mijlad, Yacine El Younoussi

“…The other one is a pipeline, which includes a Long Short-Term Memory deep learning model, a rule-based correction component, and a statistical-based component. …”
Get full text

The tumour histopathology "glossary" for AI developers. by Soham Mandal, Ann-Marie Baker, Trevor A Graham, Konstantin Bräutigam

“…The applications of artificial intelligence (AI) and deep learning (DL) are leading to significant advances in cancer research, particularly in analysing histopathology images for prognostic and treatment-predictive insights. …”
Get full text

Research on the Application of Variational Autoencoder in Image Generation by Liu Jianing

“…The rapid development of artificial intelligence and deep learning has significantly influenced the domain of image creation, finding extensive applications in applications in fields like medical imaging, computer vision, and entertainment. …”
Get full text

Comprehensive Analysis of Face Recognition Technologies by Liu Bowei

“…Among the various techniques reviewed, deep learning methods emerge as the most promising for face recognition due to their superior performance. …”
Get full text

3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images by Zhuliang Qian, Lifeng Xie, Yisheng Xu

“…Due to the development of modern technology, it is very valuable to use deep learning (DL) and multimodal MRI images to study brain tumor segmentation. …”
Get full text

Alzheimer's disease image classification based on enhanced residual attention network. by Xiaoli Li, Bairui Gong, Xinfang Chen, Hui Li, Guoming Yuan

“…To address these issues, this study proposes a deep learning model to detect Alzheimer's disease; it is called Enhanced Residual Attention Network (ERAN) that can classify medical images. …”
Get full text

VisionMD: an open-source tool for video-based analysis of motor function in movement disorders by Gabriela Acevedo, Florian Lange, Carolina Calonge, Robert Peach, Joshua K. Wong, Diego L. Guarin

“…Abstract VisionMD, an open-source software for automated video-based analysis of MDS-UPDRS Part III motor tasks, offers precise, objective, and scalable assessments of motor symptoms in Parkinson’s disease and other movement disorders. Leveraging deep learning, VisionMD tracks body movements to compute kinematic features that quantify symptoms severity and supports longitudinal monitoring. …”
Get full text

Proposing Algorithm Using YOLOV4 and VGG-16 for Smart-Education by Phat Nguyen Huu, Khang Doan Xuan

“…We rely on traditional solution methods to build algorithms to solve automated equations based on deep learning. The proposal method includes two main steps. …”
Get full text

Global Information Management Model and Identification Method Based on Deep Reinforcement Learning by RuiLe Lan, XiJia He

“…Many countries in the world are actively conducting research on information technology and management. And deep learning is a new type of efficient and open technology system and tool. …”
Get full text

Transverse cracking in glass fibre-reinforced composites monitored with synchrotron X-ray multi-projection imaging by Elise Van Vlierberghe, Jeroen Soete, Eleni Myrto Asimakopoulou, Zisheng Yao, Julia Rogalinski, Zhe Hu, Kannara Mom, Bratislav Lukić, Christian Breite, Pablo Villanueava Perez, Yentl Swolfs

“…Radiographs taken at three angles with synchrotron radiation enabled the detection of crack propagation and other damage mechanisms related to the final failure of composites. Deep learning segmentation has been proven effective in analysing the crack shape before a crack opening occurs. …”
Get full text