AI-Based Classification Model for Low-Energy Buildings: Promoting Sustainable Economic Development of Smart Cities With Spherical Fuzzy Decision Algorithm by Lin Yang

“…This article evaluates intelligent AI-based models for low-energy buildings and economic development under some specific characteristics or key features. …”
Get full text

Optimizing Group Activity Recognition With Actor Relation Graphs and GCN-LSTM Architectures by M. R. Tejonidhi, C. V. Aravinda, S. V. Aruna Kumar, C. K. Madhu, A. M. Vinod

“…Traditional video-based activity recognition methods often grapple with persistent obstacles such as environmental noise, background clutter, and the inter-class similarities inherent in activity patterns. Recent advancements in this field have largely focused on spatial feature extraction, which alone proves inadequate for thorough group activity analysis. …”
Get full text

Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Ko... by Kin On Kwok, Bahman Davoudi, Steven Riley, Babak Pourbohloul

“…Based on this approach, we extend the existing methodology; the most recent method features intra- and inter-age groups contact heterogeneity. …”
Get full text

Physics-based modeling and mechanism of polycrystalline diamond tool wear in milling of 70 vol% Si/Al composite by Lianjia Xin, Guolong Zhao, Zhiwen Nian, Haotian Yang, Liang Li, Ning He

Get full text

Attention-Driven Emotion Recognition in EEG: A Transformer-Based Approach With Cross-Dataset Fine-Tuning by Ghulam Ghous, Shaheryar Najam, Mohammed Alshehri, Abdulmonem Alshahrani, Yahya AlQahtani, Ahmad Jalal, Hui Liu

“…The proposed methodology consists of two phases: Attention Enhanced Base Model Development (AE-BMD) and Cross-Dataset Fine Tuning Adaptation (CD-FTA). …”
Get full text

Real time blood detection in CCTV surveillance using attention enhanced InceptionV3 by Adnan Khalil, Fakhre Alam, Dilawar Shah, Irshad khalil, Shujaat Ali, Muhammad Tahir

“…This study proposes a real-time deep learning framework that combines the InceptionV3 architecture with Convolutional Block Attention Modules to enhance spatial and channel-level feature discrimination. The model is further optimized through a proposed attention module that intensifies attention to small and minute blood-related patterns, even under challenging conditions such as occlusions, motion blur, and low visibility. …”
Get full text

Domain Knowledge Preservation in Financial Machine Learning: Evidence from Autocallable Note Pricing by Mohammed Ahnouch, Lotfi Elaachak, Erwan Le Saout

“…Machine learning applications in finance commonly employ feature decorrelation techniques developed for generic statistical problems. …”
Get full text

Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

“…PD signals were collected using a combination of High-Frequency Current Transformer (HFCT) and Ultra High Frequency (UHF) sensors, capturing time-domain waveforms, frequency-domain spectra, and Phase-Resolved Partial Discharge (PRPD) patterns, from which feature quantities were extracted. …”
Get full text

Construction of Carbon Functional Zone in the Demonstration Zone of Green and Integrated Ecological Development of the Yangtze River Delta Based on Carbon Density Correction by Tian ZHANG, Zhen SHEN, Tingting SU, Daixin DAI

“…ObjectiveThe Demonstration Zone of Green and Integrated Ecological Development of the Yangtze River Delta (hereinafter referred to as the “Demonstration Zone”) holds strategic significance in achieving China’s carbon neutrality and carbon peaking goals. …”
Get full text

Development and validation of an interpretable multi-task model to predict outcomes in patients with rhabdomyolysis: a multicenter retrospective cohort studyResearch in context by Chunli Liu, Jie Shi, Fengjuan Wang, Duo Li, Yu Luo, Bofan Yang, Yunlong Zhao, Li Zhang, Dingwei Yang, Heng Jin, Jie Song, Xiaoqin Guo, Haojun Fan, Qi Lv

“…Twenty-two clinical features available within the first 24 h of admission were selected to develop the prediction models. …”
Get full text

Genome-wide characterization of monoacylglycerol lipase (MAGL) gene family in soybean and functional analysis of GmMAGLs in storage lipid metabolism and drought resistance by Haiqing Jing, Yan Sun, Bicheng Wang, Juhua Ma, Kun Wan, Zhanqian Li, Yali Zhou, Runzhi Li, Haiping Zhang, Jinai Xue

“…Additionally, multiple cis-elements associated with development, hormone, and stress response were identified in the promoter regions of GmMAGL genes. …”
Get full text

Synthesis of Amplitude-Phase Distribution in Quasiconcave an Antenna Array by M. R. Bibarsov, E. V. Gribanov, D. D. Gabrielyan, D. S. Fedorov, D. S. Fedorov

“…In this paper, features are considered and an algorithm for the synthesis of the amplitude-phase distribution of a quasi-annular antenna array is developed. …”
Get full text

One Health and planetary health research landscapes in the Arab world by Shaher Zyoud, Sa'ed H. Zyoud

“…Conversely, planetary health presents an irregular growth pattern, with a strong point in the development of this area standing out in 2023. …”
Get full text

Changes in visitor behaviour in Canadian National Parks due to COVID-19: focusing on visitor spatial location and the distance between park facilities and visitors by Huaiyi Wang, Xiangfei Lu, Yaquan Dou, Xuanqin Yang, Xiaodi Zhao

“…However, a gradual dispersion of visitor flow toward less-developed and lower-density areas was observed in recent years. …”
Get full text

Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image by Muhammad Syauqie, Muhammad Syauqie, Harry Patria, Sutanto Priyo Hastono, Kemal Nazaruddin Siregar, Nila Djuwita Farieda Moeloek

“…Grad-CAM visualization was employed to provide insights into the model’s interpretability.ResultsThe 3-branch CNN architecture demonstrated superior performance, achieving an overall test accuracy of 91%, precision of 96%, and recall of 98%, with an area under the curve (AUC) score of 0.9896. Its multi-scale feature extraction pathways were pivotal in effectively addressing overlapping red reflex patterns and subtle variations between classes.ConclusionThis study establishes the feasibility of smartphone-based photorefractive assessment integrated with artificial intelligence for scalable and cost-effective vision screening. …”
Get full text

Deciphering the complex links between inflammatory bowel diseases and NAFLD through advanced statistical and machine learning analysis by Deepak Kumar, Brijesh Bakariya, Chaman Verma, Zoltán Illés

“…There is an urgent need for non-invasive methods to diagnose various stages of liver dysfunction and uncover hidden pattern based on individual disease characteristics. …”
Get full text

Insights into genetics of floral development in Amborella trichopoda Baill. through genome-wide survey and expression analysis of MADS-Box transcription factors by Sanam Parajuli, Bibek Adhikari, Madhav P. Nepal

“…Amborella trichopoda is a basal angiosperm with simpler floral features, and the genetic and functional roles of MADS-Box genes in floral development remain poorly understood in the species. …”
Get full text

Coupling relationship between land use transition and rural transformation development: A case study of county-level regions in Jiangsu Province by GE Dazhuan, WANG Rumin, LU Xiaoxue

“…[Results] (1) During the study period (2000-2020), the land use transition and rural transformation development development in counties of Jiangsu Province presented a pattern of evolving from low-speed heterogeneity to high-speed homogeneity, characterized by the macroscopic features of leading in some local areas and an orderly gradient improvement. (2) The coupling relationship of land use transition and rural transformation development in Jiangsu Province had undergone two stages: Transition from the province’s imbalance to partial low coupling, then from low coupling to high coupling. …”
Get full text

THE ROLE OF UNEVEN BLOOD OXYGEN SATURATION AND OTHER PERFUSION PARAMETERS IN DEVELOPMENT OF HEMOLYSIS AFTER ON-PUMP CORONARY ARTERY BYPASS GRAFT SURGERY by SVETLANA P. Chumakova, VLADIMIR M. Shipulin, OLGA I. Urazova, VIATCHESLAV V. Novitskiy, SVETLANA E. Barmina

“…After the surgery, such pattern was also observed in patients with moderate hemolysis. …”
Get full text

The Role of the West in Evolving World Order, and Russian Politics by A. D. Voskressenski

“…Theoretical and empirical conceptualization of interdependence between external and internal processes, including political component, makes it possible to develop applied theories of competitive regional and national development patterns based on higher cooperative trends in national strategies for modernization and development while defending adequately national interests.…”
Get full text