Design of an intelligent post-diagnosis decision support system for highly automated trucks by Xin Tao, Lina Rylander, Jonas Mårtensson

“…The design includes conducting a system impact analysis to identify new stakeholders, proposing a new DSS architecture with review and learning functions, and concretizing various potentially effective decision-making models and information inputs. …”
Get full text

A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention by Gang Hu

“…Edge detection, a cornerstone of computer vision, identifies intensity discontinuities in images, enabling applications from object recognition to autonomous navigation. This survey presents a mathematically grounded analysis of edge detection’s evolution, spanning traditional gradient-based methods, convolutional neural networks (CNNs), attention-driven architectures, transformer-backbone models, and generative paradigms. …”
Get full text

Enhancing or impairing? Exploring Indian EFL learners’ academic writing narratives with ChatGPT by Razia Khan, Md. Tauseef Qamar, Mohd Sajid Ansari, Juhi Yasmeen

“…The research is grounded in Cognitive Load Theory (CLT), the Technology Acceptance Model (TAM), and AI-mediated Informal Digital Learning of English (AI-IDLE), exploring learners' perceptions of the tool’s efficacy, usability, and its potential to promote autonomous learning. …”
Get full text

Landslide Susceptibility Assessment in Ya’an Based on Coupling of GWR and TabNet by Jiatian Li, Ruirui Wang, Wei Shi, Le Yang, Jiahao Wei, Fei Liu, Kaiwei Xiong

Get full text

Active power and frequency oscillation suppression strategy for parallel virtual synchronous generators system based on fractional-order virtual inertia by Lei Zhang, Rongliang Shi, Zheng Dong, Meishu Li, Junhui Li, Yu Zhang

Get full text

Abnormalities in cognitive-related functional connectivity can be used to identify patients with schizophrenia and individuals in clinical high-risk by Yangpan Ou, Zhaobin Chen, Ying Wang, Huabing Li, Feng Liu, Ping Li, Dongsheng Lv, Yong Liu, Bing Lang, Jingping Zhao, Wenbin Guo

Get full text

Evaluating spatiotemporal variations in agricultural production efficiency and total factor productivity change index across China by CHANG Siyuan, SHANG Songhao

“…【Method】A Data Envelopment Analysis (DEA) model was used to evaluate the comprehensive efficiency, pure technical efficiency, and scale efficiency of agricultural production in 31 provinces, municipalities, and autonomous regions across China from 2004 to 2022. …”
Get full text

Pedagogical management in the digital educational environment: Theoretical aspect by S. S. Kulikova, O. V. Yakovleva

“…The authors applied the methods of comparative and contrastive analysis (comparison of the nature of management in a classical (classroom) and digital environment), synthesis and systematisation of data, modelling. …”
Get full text

Features of neuroglia at the epicenter of spinal cord contusion injury and at distant areas in mini-pigs by R. R. Garifulin, A. A. Izmailov, V. A. Markosyan, I. S. Minyazeva, V. V. Valiullin, R. R. Islamov

Get full text

Topic-Weighted Kernels: Text Kernels Integrating Topic Weights and Deep Word Embeddings for Semantic Text Analytics by Nikhil V. Chandran, V. S. Anoop, S. Asharaf

Get full text

Bio inspired optimization techniques for disease detection in deep learning systems by A. Ashwini, Vanajaroselin Chirchi, S. Balasubramaniam, Mohd Asif Shah

“…Deep learning models autonomously develop feature extraction abilities but require substantial computational resources and extensive datasets to yield significant abstraction methods. …”
Get full text

THE ROLE OF INNOVATION IN BUSINESS DEVELOPMENT by M. N. Mikhaylyuk, M. K. Ashinova, M. A. Omid Karizada

Get full text

Enhancing soil quality in soybean cultivation: Mycorrhizal technology combined with intercropping under high cadmium stress by Xiaohui Wang, Xiaoxu Fan, Wei Chang, Kun Li, Mengmeng Zhang, Gaozhong Pu, Alexander.V. Kurakov, Yuan Ping, Fuqiang Song

Get full text

Formation conditions and evolution of the oil and gas strata of the prospective East Siberian oil and gas province by R. A. Mamedov, M. A. Allanazarova, R. R. Sagdeev, T. N. Suyunbaev

Get full text

E-government: A more cost-effective way of providing services to citizens by Marković Miroslav S.

Get full text

Application of Multi-Inflammatory Index to Predict Atrial Fibrillation Risk in Patients with Coronary Heart Disease: A Retrospective Machine Learning Study by Hou L, Su K, Zhao J, He T, Li Y

“…In the training set, LightGBM achieved an AUC of 0.958, accuracy of 0.851, and sensitivity of 0.943, while in the testing set, it achieved an AUC of 0.757 and accuracy of 0.821. SHAP analysis indicated that age, heart rate, and MII were the primary predictors of AF occurrence.Conclusion: The LightGBM model demonstrated adequate sensitivity and accuracy. …”
Get full text

Design and Validation of the MANTiS-32 Wireless Monitoring System for Real-Time Performance-Based Structural Assessment by Jaehoon Lee, Geonhyeok Bang, Yujae Lee, Gwanghee Heo

Get full text

Wearable IoT (w-IoT) artificial intelligence (AI) solution for sustainable smart-healthcare by Gurdeep Singh

“…It covers performance results rendering research science communication on machine learning models for time series analysis, regression and classification to implement defined and adaptive thresholds, adopting standard deviation and moving average, computing mean square error (MSE), root mean square error (RSME) and mean absolute error (MAE) values, utilizing exponential moving average results on multiple features, prominently targeting resting heartrate data. …”
Get full text

Integrated neural network framework for multi-object detection and recognition using UAV imagery by Mohammed Alshehri, Tingting Xue, Tingting Xue, Ghulam Mujtaba, Yahya AlQahtani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…IntroductionAccurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban planning, autonomous navigation, and military surveillance. …”
Get full text

Characteristics and perceived suitability of artificial intelligence-driven sports coaches: a pilot study on psychological and perceptual factors by Carlo Dindorf, Jonas Dully, Eva Bartaguiz, Tessa Menges, Claudia Reidick, Johann-Nikolaus Seibert, Michael Fröhlich

“…Artificial intelligence (AI) coaches powered by Large Language Models (LLMs) might offer promising means to augment human coaches by supporting or autonomously performing specific coaching tasks within targeted domains. …”
Get full text