Near real-time LOD prediction using ConvLSTM model through integrating IGS rapid LOD and effective angular momentum by Kehao Yu, Xiaoya Wang, Zhao Li, Jian Wang, Lihua Li, Weiping Jiang, Kai Yang, Jingwen Long, Yunzhao Li

Get full text

Enhancing the performance of grid-connected DFIG systems using prescribed convergence law by Hichem Itouchene, Fayssal Amrane, Zoubir Boudries, Saad Mekhilef, Habib Benbouhenni, Nicu Bizon

Get full text

Surface Soil Organic Carbon Estimation Based on Habitat Patches in Southwest China by Jieyun Xiao, Wei Zhou, Ting Wang, Yao Peng, Zhan Shi, Saibo Li, Yang Li, Tianxiang Yue

Get full text

MYOFASCIAL SYMPTOMS IN CLINIC COMPRESSION OF DISLOCATION OF THE TEMPOROMANDIBULAR JOINT DYSFUNCTION by V.M. Novikov, P.I. Yatsenko, O.V. Rybalov

“…The issue here is that the algorithm of diagnostic measures with paresis of mimetic muscles does not include the research of TMJ components´ correlation between each other. …”
Get full text

Validation of the vertical canopy cover profile products derived from GEDI over selected forest sites by Yu Li, Hongliang Fang, Yao Wang, Sijia Li, Tian Ma, Yunjia Wu, Hao Tang

Get full text

Exploring the role of ELOVLs family in lung adenocarcinoma based on bioinformatic analysis and experimental validation by Zihan Wang, Wenjing Cui, Long Liang, Jingge Qu, Yuqiang Pei, Danyang Li, Ying Luo, Yue Zhang, Yifan Qiu, Yongchang Sun

Get full text

Optimization model for wireless charging and power saving of smart canes for the visually impaired based on DRL by Zhaohua Ji, Cheng Xu, Jie Huang, Qinghui Zhou, Tao Yang, Diyi Zhang, Wuchao Zheng

“…Experimental evaluations demonstrate significant improvements in charging efficiency, battery longevity, and user experience compared to traditional methods. By integrating reinforcement learning with intelligent energy management, this research provides an innovative and practical approach to enhancing smart cane functionality, promoting safer and more autonomous navigation for visually impaired individuals.…”
Get full text

Machine learning approach for solar irradiance estimation on tilted surfaces in comparison with sky models prediction by Mbah O. M., Madueke C. I., Umunakwe R., Okafor C. O.

“…Python computational software was used for model prediction, and the performance of each model was assessed using statistical methods such as mean bias error (MBE), mean absolute error (MAE), and root mean square error (RMSE) (RMSE). Compared to the measured data, it was discovered that the Extreme Gradient Boosting (XGBoost) algorithm offered the best performance with the least inaccuracy to sky models.…”
Get full text

A Type of Energy Hole Avoiding Method Based on Synchronization of Nodes in Adjacent Annuluses for Sensor Network by Chao Sha, Huan Chen, Chen Yao, Yao Liu, Ru-chuan Wang

Get full text

A Target Detection Model Based on Improved Tiny-Yolov3 Under the Environment of Mining Truck by Dong Xiao, Feng Shan, Ze Li, Ba Tuan Le, Xiwen Liu, Xuerao Li

Get full text

An Intelligent Self-Validated Sensor System Using Neural Network Technologies and Fuzzy Logic Under Operating Implementation Conditions by Serhii Vladov, Victoria Vysotska, Valerii Sokurenko, Oleksandr Muzychuk, Lyubomyr Chyrun

“…This article presents an intelligent self-validated sensor system developed for dynamic objects and based on the intelligent sensor concept, which ensures autonomous data collection and real-time analysis while adapting to changing conditions and compensating for errors. The research’s scientific merit is that an intelligent self-validated sensor for dynamic objects has been developed that integrates adaptive correction algorithms, fuzzy logic, and neural networks to improve the sensors’ accuracy and reliability under changing operating conditions. …”
Get full text

Data-driven prediction of cardiovascular and cerebrovascular diseases in a nationwide study by Sehyun Kim, Beomsang Ryu, Mingee Choi, Sangyon Lee, Jaeyong Shin, Sok Chul Hong

“…Abstract As the importance of the prevention and premanagement of cardiovascular and cerebrovascular diseases continues to emerge, research is being conducted globally to create and compare risk factor prediction models using health examination big data. …”
Get full text

Quantitative comparison of a novel swept-source optical coherence tomography angiography device with three established systems by Michael Hafner, Siegfried G. Priglinger, Bettina von Livonius, Maximilian J. Gerhardt

“…In the DCP, DREAM showed a smaller foveal avascular zone (median: 0.339 mm2) compared to Spectralis (0.51 mm2), Triton (0.5935 mm2), and Cirrus (0.9145 mm2), along with a smaller vessel diameter (median: 23 μm) compared to Triton and Cirrus. …”
Get full text

Energy and exergy analysis of a modified air handling unit assisted by phase change material, heat recovery unit, and solar energy by Saman Faramarzi, Seyed Mohammad Mehdi Asadzadeh, Mohammad Reza Mohammad Hassani, Seyyed Amirreza Abdollahi, Reza Zarehzadeh, Mostafa Mafi

“…Abstract This research focuses on designing an energy storage system using phase change material (PCM) in the air-conditioned zone, integrated with an air handling unit (AHU). …”
Get full text

No-Reference Stereoscopic IQA Approach: From Nonlinear Effect to Parallax Compensation by Ke Gu, Guangtao Zhai, Xiaokang Yang, Wenjun Zhang

“…In this paper, we propose a new no-reference stereoscopic image quality assessment algorithm based on the nonlinear additive model, ocular dominance model, and saliency based parallax compensation. …”
Get full text

Multi-Source Remote Sensing Images Semantic Segmentation Based on Differential Feature Attention Fusion by Di Zhang, Peicheng Yue, Yuhang Yan, Qianqian Niu, Jiaqi Zhao, Huifang Ma

“…Experimental results show that our method achieved 2.8% and 2.0% mean intersection over union (mIoU) score improvements compared with the competitive baseline algorithm on the available US3D and ISPRS Potsdam datasets, respectively.…”
Get full text

256‐level honey memristor‐based in‐memory neuromorphic system by Harshvardhan Uppaluru, Zoe Templin, Mohammed Rafeeq Khan, Md Omar Faruque, Feng Zhao, Jinhui Wang

“…Experimental results indicate that the inference accuracy of the 256‐level honey memristor‐based neuromorphic system is greater than 88% without cycle‐to‐cycle variations and 87% with cycle‐to‐cycle variations for different optimization algorithms. The overall performance of optimization algorithms with and without variation is compared in terms of energy and latency, where the momentum algorithm consistently outperforms the rest of the algorithms. …”
Get full text

Facility Layout Planning of Sheet Metal Working Industry Using Metaheuristics by Adinda Sekar Ludwika, Mar’atus Shalehah, Rakan Raihan Ali Mohamad, Andiny Trie Oktavia, Nur Mayke Eka Normasari, Nguyen Huu Tho, Achmad Pratama Rifai

“…Additionally, considering computation time, the SA algorithm is the best choice as it has the fastest computation time compared to other algorithms.…”
Get full text

A Framework for Constructing Large-Scale Dynamic Datasets for Water Conservancy Image Recognition Using Multi-Role Collaboration and Intelligent Annotation by Xueying Song, Xiaofeng Wang, Ganggang Zuo, Jiancang Xie

“…Two supporting tools were developed: an image classification modification tool that automatically adapts to changes in categories and an automatic annotation tool with rotation-angle perception based on the rotation matrix algorithm. Experimental results show that this method increases annotation efficiency by 40% compared to traditional approaches, while achieving 100% annotation consistency after classification modifications. …”
Get full text

An Optimization Model of Multi-Intersection Signal Control for Trunk Road under Collaborative Information by Xun Li, Zhengfan Zhao, Li Liu, Yao Liu, Pengfei Li

Get full text