Displacement Estimation Performance of a Cost-Effective 2D-LiDAR-Based Retaining Wall Displacement Monitoring System by Jun-Sang Kim, Young Suk Kim

Get full text

Efficient Rank-Adaptive Least-Square Estimation and Multiple-Parameter Linear Regression Using Novel Dyadically Recursive Hermitian Matrix Inversion by Hsiao-Chun Wu, Shih Yu Chang, Tho Le-Ngoc, Yiyan Wu

Get full text

A Review of Knowledge Distillation in Object Detection by Shengjie Cheng, Qiuxia Zhao, Xinyun Zhang, Nurbiya Yadikar, Kurban Ubul

“…We need to combine their respective advantages further for related algorithm research, and we need to reach a balance between detection speed and detection accuracy so that the algorithms can be deployed on edge devices with limited computational power. …”
Get full text

OPTIMIZATION OF THE ANESTHETIC MANAGEMENT OF PATIENTS WITH PERIPHERAL ARTERY DISEASE WHO HAD A LOWER LIMB AMPUTATION by Денис Николаевич Макаров, Сергей Людовикович Кан, Елена Михайловна Васильченко

“…The aim of the research – to improve the results of treatment and the survival rate of patients with peripheral artery disease after lower limb amputations by optimizing the anesthetic management during the perioperative period based on studying the risk factors for hospital lethality. …”
Get full text

Construction of dense CMP data from sparsely collected GPR CMP data for the improved estimation of soil dielectric constant profile by Koki Oikawa, Hirotaka Saito, Seiichiro Kuroda, Kazunori Takahashi

Get full text

Identification of recurrences in women diagnosed with early invasive breast cancer using routinely collected data in England by Jake Probert, David Dodwell, John Broggio, Robert Coleman, Helen Marshall, Sarah C. Darby, Gurdeep S. Mannu

Get full text

Iraqi Stock Market Prediction Using Artificial Neural Network and Long Short-Term Memory by Sama Hayder Abdulhussein AlHakeem, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra Atee, Mahmod Muhamad Amrir

“…In this paper, two models were proposed to predict the Iraqi stock markets index through the use of artificial neural networks (ANN) and a long short-term memory (LSTM) algorithm where Iraqi stock market data were used from 2017 to 2021 and good results were achieved in the prediction where the long short-term memory (LSTM) algorithm reached a mean square error (MSE) rate of as little as 0.0016 while the artificial neural network (ANN) algorithm reached error rate 0.0055. …”
Get full text

An Approach for SAR Feature Reconfiguring Based on Periodic Phase Modulation with Inter-Pulse Time Bias by Liwen Zhu, Junjie Wang, Dejun Feng

“…Considering the position and energy requirements of the expected reconfigured imaging target, this approach optimizes the metasurface modulation parameters via a dual algorithm collaborative optimization system, i.e., a modulation parameter generation algorithm (MPGA) and a parameter mapping matching algorithm (PMMA). …”
Get full text

CHPOA-DBN Transformer Fault Diagnosis Method Considering Sample Within-Class Imbalance by Shuang WANG, Qian LUO, Bo TANG, Lan JIANG, Jin LI

Get full text

A hybrid blockchain-based solution for secure sharing of electronic medical record data by Gang Han, Yan Ma, Zhongliang Zhang, Yuxin Wang

“…Patient privacy data security is a pivotal area of research within the burgeoning field of smart healthcare. …”
Get full text

A Hotspot Prediction Scheme Based on Ensemble Learning With Adaptive Beamforming for Virtual Small Cell in 5G Networks by Aws Majeed Ghalib Alawadi, Hadi Seyedarabi, Reza Afrouzian, Javad Musevi Niya

“…For this purpose, at first, using the location map of users, the location of hotspots is predicted by an Ensemble deep learning algorithm. Ensemble deep learning algorithm in this research combines the advantages of GRU and GRN networks and creates an efficient and accurate deep model that is more accurate than previous approaches that used single networks. …”
Get full text

A Progressive Clustering Approach for Buildings Using MST and SOM with Feature Factors by Tianliang Zhang, Xiaoji Lan, Jianhua Feng

“…To address the challenges in current research on spatial clustering algorithms for buildings in topographic maps—namely, their limited ability to effectively accommodate diverse application scenarios, including dense and regular urban environments, sparsely and irregularly distributed rural areas, and urban villages with complex structures—this paper introduces an innovative progressive clustering algorithm framework. …”
Get full text

A network recovery strategy based on boundary nodes and tetrahedral approximation fermat points in three-dimensional wireless sensor networks by Bin Xu, Hongsheng Chen, Yanxu Cheng

“…Abstract Wireless Sensor Networks (WSNs) have emerged as a critical research frontier in the Internet of Things (IoT) domain, with widespread applications in three-dimensional environments. …”
Get full text

Analysis of Interference Magnetic Field Characteristics of Underwater Gliders by Taotao Xie, Dawei Xiao, Jiawei Zhang, Qing Ji

“…This paper takes underwater gliders as the research subject, analyzing the characteristics of magnetic interference signals under different operational conditions. …”
Get full text

UAV Mission Path Planning Based on Reinforcement Learning in Dynamic Environment by Gui Fu, Yang Gao, Liwen Liu, Mingye Yang, Xinyu Zhu

“…Among them, the task and path planning of UAV in the high-end robot industry has always been the focus of relevant researchers. In the high-end robot industry, in addition to the research and development of UAVs, they also continue to learn and strengthen the task and path planning of UAVs. …”
Get full text

RETRACTED ARTICLE: Novel gooseneck barnacle optimization a nature inspired technique for optimizing reactive power within systems of power with electric vehicles by Juntao Zhuang, Chengwei Wang, Qiong Cheng, Samad Nourmohammadi, Khalid A. Alnowibet

Get full text

Modern Technologies in the Examination of Patients with Optic Nerve Atrophy Due to Multiple Sclerosis by E. E. Ioyleva, M. S. Krivosheeva, E. Yu. Markova

“…Purpose: to develop an algorithm for testing patients with optic nerve atrophy due to MS using microperimetry with the different functional disorders.Patients and Methods. …”
Get full text

Registration of 2D C-Arm and 3D CT Images for a C-Arm Image-Assisted Navigation System for Spinal Surgery by Chih-Ju Chang, Geng-Li Lin, Alex Tse, Hong-Yu Chu, Ching-Shiow Tseng

“…However, accurate path planning on the C-Arm AP-view image is difficult. This research studies 2D-3D image registration methods to obtain the optimum transformation matrix between C-Arm and CT image frames. …”
Get full text

Simulation-based deep reinforcement learning for multi-objective identical parallel machine scheduling problem by Sohyun Nam, Young-in Cho, Jong Hun Woo

Get full text

ConvNeXt embedded U-Net for semantic segmentation in urban scenes of multi-scale targets by Yanyan Wu, Qian Li

“…The experimental results show that the method achieves 84.25% MPA and 75.61% MIoU. Our improved algorithm, ConvNeXt embedding in the U-Net algorithm architecture, is named Conv-UNet. …”
Get full text