A Fault Feature Extraction Method of Rolling Bearings Based on Optimized VMD and UMAP by Liu Junli, Miao Bingrong, Zhang Ying, Li Yongjian, Huang Zhong

“…Using the recognition accuracy of three commonly used intelligent algorithm and the ratio of intra-class cosine distance and inter-class cosine distance in the tested feature set as evaluation indexes, the results show that the method not only achieves effectively extract features of various bearing failures, but also has good noise immunity, which is of certain reference value for the feature extraction in the practical bearing fault diagnosis.…”
Get full text

Mapeamento de vulnerabilidade socioespacial: Análise espacial integrada entre vulnerabilidade social e suscetibilidade a inundações em bacia hidrográfica urbanizada de São Paulo/SP... by Iury Tadashi Hirota Simas, Cleide Rodrigues

“…It is considered that such results imply intelligible information to decision makers, composed of data hitherto related in a theoretical and rarely cartographic way.…”
Get full text

Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks by Yang Yang, Rui Lyu, Zhipeng Gao, Lanlan Rui, Yu Yan

“…Edge networking brings computation and data storage as close to the point of request as possible. Various intelligent devices are connected to the edge nodes where traffic packets flow. …”
Get full text

Retracted: Internet of Things Technology in Monitoring System of Sustainable Use of Soil and Land Resources by Zhaoya Chen, Daobo Wang, Lijun Ma, Yaheng Chen

“…The monitoring system in this paper makes full use of modern science and technology. On the basis of intelligent technology, combined with the actual situation of land resources in China, according to the practical problems, the construction principles of evaluation index system and index construction are established. …”
Get full text

Hierarchical and Distributed Eco-Driving Approach for Mixed Vehicle Clusters at Unsignalized Intersections by Jie Yu, Yugong Luo, Weiwei Kong, Fachao Jiang

“…To improve the driving efficiency and energy-saving characteristics for large-scale mixed traffic flows under different market penetration rates (MPRs) of intelligent and connected vehicles (ICVs) at unsignalized intersections, considering the cooperative eco-driving performance between ICVs and human-driven vehicles (HDVs) with time-varying speed characteristics, the hierarchical and distributed cooperative eco-driving architecture is first established in this paper, consisting of a cloud decision layer and a vehicle control layer. …”
Get full text

‘Only Brooks of Sheffield’: Conversation, Crossover Writing, and Child and Adult Perspectives in David Copperfield and Its Juvenile Adaptations by Hannah Field

“…In the final section, I argue that the relative unimportance of conversation in the adaptations, as opposed to Dickens’s novel, cannot be attributed to concerns with suitability or intelligibility alone. Instead, Dickens’s preoccupation with conversations between adults and children relates to David Copperfield’s original status as a crossover or cross-written text that would have been read by a mixed-age audience. …”
Get full text

The impact of human papillomavirus (HPV) status on functional outcomes and quality of life (QOL) after surgical treatment of oropharyngeal carcinoma with free-flap reconstruction by Hani Z. Marzouki, Vincent L. Biron, Peter T. Dziegielewski, Andrew Ma, Jason Vaz, Gabriela Constantinescu, Jeffrey Harris, Daniel O’Connell, Hadi Seikaly

“…Out of those patients 63 (56%) were p16 positive. Speech intelligibility remained high at 1-year post operation (95.4%). …”
Get full text

Do education, urbanization, and green growth promote life expectancy? by Haojun Zhang, Yunqiu Zhan, Keqiu Chen

“…Therefore, this study examines the impact of EDU, URB and GG on LEF in China from 1990 to 2022.MethodsThis study utilizes the unit root, cointegration test, and Auto Regressive distributed lag (ARDL) model, and for robustness analysis, we use the Fully modified ordinary least squares (FMOLS) and Dynamic ordinary least squares (FMOLS) methods.ResultsThe results show that education, urbanization and green growth have a positive and significant effect on life expectancy, while C02 emissions negatively affect life expectancy.DiscussionThese findings suggest that more resources should be allocated to public education systems to ensure access to quality education from early childhood through higher education and integrate comprehensive health education into school curricula to raise awareness about healthy lifestyles, nutrition, and disease prevention. Promote intelligent urban planning incorporating green spaces, recreational areas, and safe walkways to encourage physical activity and reduce pollution. …”
Get full text

Lightweight and secure vehicle track verification scheme via broadcast communication channels by Zhiqiang NING, Yuanyuan WANG, Chi ZHANG, Lingbo WEI, Nenghai YU, Yue HAO

“…In intelligent transportation systems, it is crucial for smart vehicles to broadcast real-time vehicle track messages to coordinate driving decisions and ensure driving safety.However, attackers can manipulate vehicle tracks by modifying timestamps or manipulating signal frequencies, posing a threat to security.To address this problem, a lightweight vehicle track verification scheme was proposed, utilizing the broadcast communication channels to achieve secure verification of vehicle tracks without any special hardware support.Without time synchronization, each verifier calculated the time interval between the reception time of the message and the sending timestamp.Spatial position constraint equations are formulated by combining these time intervals between any two verifiers, effectively defending against timestamp forgery attacks.Additionally, each verifier calculates the Doppler frequency shift between the arrival frequency and the scheduled transmit frequency.Velocity vector constraint equations were formulated by combining these frequency shifts between any two verifiers, providing defense against carrier frequency manipulation attacks.Formal analysis shows that increasing the number of verifiers improves the accuracy of the proposed verification scheme.Experimental results in a real-world environment further validate that the proposed verification scheme exhibits the best performance when the number of verifiers is set to 3.Compared to the existing solution, the proposed verification scheme has a higher accuracy, lower false rejection rate, and lower false acceptance rate when validating true vehicle track and false vehicle track separately.…”
Get full text

Research on equipment layout of multi-layer circular manufacturing cell based on NSGA III. by Yanlin Zhao

“…With the continuous advancement of global intelligent manufacturing, MCMC has emerged as a viable solution, with several smart factories already implementing this model. …”
Get full text

Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Appro... by Lanqian Yang, Jinmin Guo, Huili Tian, Min Liu, Chang Huang, Yang Cai

“…Accurate load forecasting is of vital importance for improving the energy utilization efficiency and economic profitability of intelligent buildings. However, load forecasting is restricted in the popularization and application of conventional load forecasting techniques due to the great difficulty in obtaining numerical weather prediction data at the hourly level and the requirement to conduct predictions on multiple time scales. …”
Get full text

Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

“…Experiments demonstrate that the optimization capacity of the IDBO algorithm is conspicuously superior to other intelligent optimization algorithms, and the IDBO-GRU algorithm surpasses the probabilistic neural network (PNN) and the GRU algorithm in the denoising accuracy of WFEM data. …”
Get full text

Deep Learning Model for CS-Based Signal Recovery for IRS-Assisted Near-Field THz MIMO System by Vaishali Sharma, Prakhar Keshari, Sanjeev Sharma, Kuntal Deka, Ondrej Krejcar, Vimal Bhatia

“…A promising solution to navigate these obstacles involves the use of intelligent reflecting surfaces (IRS)-enhanced multiple-input multiple-output (MIMO) technology, which steers THz wave propagation. …”
Get full text

A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems by Saiprasad Potharaju, Ravi Kumar Tirandasu, Swapnali N. Tambe, Devyani Bhamare Jadhav, Dudla Anil Kumar, Shanmuk Srinivas Amiripalli

“…This methodology provides a scalable and robust real-time anomaly detection and sensor fault prediction methodology that greatly enhances the reliability of the environmental monitoring systems and advances the intelligent infrastructure management. • Combines Isolation Forest for anomaly labeling and supervised models for anomaly prediction. • Scalable and adaptable for diverse IoT applications for environmental monitoring. • Provides actionable insights through anomaly visualization, revealing patterns in sensor performance.…”
Get full text

Optimizing precision farming: enhancing machine learning efficiency with robust regression techniques in high-dimensional data by Nour Hamad Abu Afouna, Majid Khan Majahar Ali

“… Smart precision farming leverages IoT, cloud computing, and big data to optimize agricultural productivity, lower costs, and promote sustainability through digitalization and intelligent methodologies. However, it faces challenges such as managing complex variables, addressing multicollinearity, handling outliers, ensuring model robustness, and enhancing accuracy, particularly with small to medium-sized datasets. …”
Get full text

Cloud-Based License Plate Recognition: A Comparative Approach Using You Only Look Once Versions 5, 7, 8, and 9 Object Detection by Christine Bukola Asaju, Pius Adewale Owolawi, Chuling Tu, Etienne Van Wyk

“…This research contributes to advancing the field of intelligent transportation systems by offering a detailed comparison that can guide future implementations and optimizations of LPR systems in cloud environments.…”
Get full text

Research on health monitoring of concrete structure based on G-S-G by Jiaqi Wang, Hongbi Kang, Kexin Li

“…This research shows that is helpful to realize the high precision intelligent concrete structure health monitoring of modern concrete structure crack damage.…”
Get full text

Research on cost and carbon reduction using the optimization of composite slabs modules based on bim technology by Huo Haie, Liu Mingrong, Zhou Juncen

“…This plugin can quickly and intelligently recommend the most suitable combination of composite slabs specifications based on the actual size of the floor slabs, thereby greatly reducing the types of composite slabs required. …”
Get full text

Compound Fault Diagnosis for Gearbox Based Using of Euclidean Matrix Sample Entropy and One-Dimensional Convolutional Neural Network by Decai Zhang, Xueping Ren, Hanyue Zuo

“…In this paper, a one-dimensional convolutional neural network (1-D CNN) intelligent diagnosis method with improved SoftMax function is proposed. …”
Get full text

Codification a model of a creative urban area from the perspective of social capital, Case study: District 11 of Tehran by Mohammad Doosthoseini, Vahid Bigdeli Rad, Maryam Moeinifar

“…The creative urban area must be able to support the economy of the urban area, intelligent transportation, management rehabilitation as well as improving environmental performance, and also it can be providing the grounds for the realization of social capital in order to achieve the indicators of social capital. …”
Get full text