Model-Order Reduction of Multistage Cascaded Models for Digital Predistortion by Raul Criado, Wantao Li, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…This paper explores the benefits of utilizing multistage cascaded (CC) behavioral models for digital predistortion (DPD) linearization of wideband high-efficiency power amplifiers (PAs). …”
Get full text

A fast identification method for multi-joint robot load based on improved Fourier neural network by Xia Yue, Jionghao Mo, Zhibin Li, Haiteng Li, Chunliang Zhang, Shangbin Long

“…Because of the obvious nonlinearity and the uncertainty of model parameters, the accuracy and efficiency of load identification are not enough. …”
Get full text

YOLO-SUMAS: Improved Printed Circuit Board Defect Detection and Identification Research Based on YOLOv8 by Ying Tang, Runhao Liu, Sheng Wang

Get full text

Method of Radio-Emitting Target Identification from Passive Spatial Diversity Radio-Electronic Stations on the Basis of Student's <i>t</i>-Test by A. V. Kvasnov

“…It was conducted simulation of the algorithm that showed his efficiency, and also considered an example of its realization.…”
Get full text

Real-Time Identification of Look-Alike Medical Vials Using Mixed Reality-Enabled Deep Learning by Bahar Uddin Mahmud, Guanyue Hong, Virinchi Ravindrakumar Lalwani, Nicholas Brown, Zachary D. Asher

“…This study addresses these challenges by introducing a real-time deep learning-based vial identification system, leveraging a Lightweight YOLOv4 model optimized for edge devices. …”
Get full text

Automated lumbar intervertebral disc identification and herniation detection in MR images using cascade CNN architecture by Md Abu Sayed, Ashiqur Rahman, Sadman Mohammad Nasif, Sudipto Halder, Akram Hossain, Hasan Ahmed, Muhammad Abdul Kadir

Get full text

A hybrid multi-instance learning-based identification of gastric adenocarcinoma differentiation on whole-slide images by Mudan Zhang, Xinhuan Sun, Wuchao Li, Yin Cao, Chen Liu, Guilan Tu, Jian Wang, Rongpin Wang

Get full text

Remote Sensing Identification of Major Crops and Trade-Off of Water and Land Utilization of Oasis in Altay Prefecture by Gaowei Yan, Luguang Jiang, Ye Liu

Get full text

MFPSP: Identification of fungal species-specific phosphorylation site using offspring competition-based genetic algorithm. by Chao Wang, Quan Zou

Get full text

Secure Biometric Identification Using Orca Predators Algorithm With Deep Learning: Retinal Iris Image Analysis by Louai A. Maghrabi, Mohammed Altwijri, Sami Saeed Binyamin, Fouad Shoie Alallah, Diaa Hamed, Mahmoud Ragab

“…Moreover, the hyperparameter tuning process of the EfficientNet model takes place using OPA. Furthermore, the biometric identification process can be performed by the use of a convolutional autoencoder (CAE). …”
Get full text

Machine-Learning-Assisted Identification of Steam Channeling after Cyclic Steam Stimulation in Heavy-Oil Reservoirs by Yu Li, Huiqing Liu, Peng Jiao, Qing Wang, Dong Liu, Liangyu Ma, Zhipeng Wang, Hao Peng

“…In this work, a machine-learning-assisted identification model, based on a random-forest ensemble algorithm, is developed to predict the occurrence of steam channeling during steam huff-and-puff processes. …”
Get full text

Advanced Deep Learning Approach for Smart Home Appliance Identification Using Recurrent Neural Networks with LSTM by Sana Abdelaziz Bkheet, Johnson I. Agbinya, Gamal Saad Mohamed Khamis

Get full text

Microscopic pore combination type identification of tight sandstone reservoir based on improved swin transformer architecture by Zhenyu Pang, Zhicong Chen, Sijie Lu, Zhenbo Cai, Yuqing Lu, Mengting Peng

“…Consequently, it offers a robust and accurate solution for microporosity type identification, thereby providing reliable technical support for the efficient exploration and development of tight sandstone reservoirs.…”
Get full text

A Satellite Individual Identification Method Based on a Complex-Valued Conditional Generative Adversarial Network by Jun He, Can Xu, Canbin Yin, Pengju Li, Jishun Li, Shuailong Zhao, Yasheng Zhang

“…With the help of specific emitter identification (SEI), the control efficiency of the satellite communication systems can be effectively improved by discriminating the individual satellite. …”
Get full text

Identification of candidates with hepatocellular carcinoma to receive TACE combined with MWA by assessing tumor burden and radiologic features by Chao An, Lujun Shen, Qifeng Chen, Yiquan Jiang, Chen Li, He Ren, Peihong Wu, Xi Liu

Get full text

Prediction of groundwater level and potential zone identification in Keonjhar, Odisha based on machine learning and GIS techniques by B. Ritushree, Shubhshree Panda, Abinash Sahoo, Sandeep Samantaray, Deba P Satapathy

Get full text

From image to insight deep learning solutions for accurate identification and object detection of Acorus species slices by Yinghui Liu, Haitao Liu, Linlan Li, Ying Ding

“…Abstract Given the morphological similarity and medicinal efficacy differences between Acorus tatarinowii Rhizoma and Acorus calamus Rhizoma, both belonging to the Acorus rhizome slices, as well as the phenomenon of their mixed use in the market, this study aims to achieve high-precision classification and rapid object detection of these two Acorus Species Slices using deep learning technology, thus enhancing the accuracy and efficiency of Traditional Chinese Medicine (TCM) identification. …”
Get full text

Digital Twin-Driven Virtual–Real Hybrid Framework Based on Parameter Identification for Bearing Thermal Prediction by Yu Wang, Qingbin Tong, Luqiang Yang, Junci Cao, Jiang Cao

“…To address the time-varying and ambiguous parameters, an efficient Nutcracker Optimization Algorithm (NOA)-based identification mechanism is introduced to dynamically calibrate the virtual thermal model, overcoming the limitations of static modeling and data isolation inherent in conventional thermal analysis methods. …”
Get full text

Integrating UAV-Based RGB Imagery with Semi-Supervised Learning for Tree Species Identification in Heterogeneous Forests by Bingru Hou, Chenfeng Lin, Mengyuan Chen, Mostafa M. Gouda, Yunpeng Zhao, Yuefeng Chen, Fei Liu, Xuping Feng

“…However, the spatiotemporal variability of forest environments and the scarcity of annotated data hinder the performance of conventional supervised deep-learning models. To overcome these challenges, this study has developed efficient tree (ET), a semi-supervised tree detector designed for forest scenes. …”
Get full text

Identification and Redevelopment of Inefficient Industrial Land in Resource-Exhausted Cities: A Case Study of Hegang, China by Yanping Qi, Yinghui Zhao, Jingpeng Guo, Yuwei Wang

Get full text