Data-Driven Multi-Scale Channel-Aligned Transformer for Low-Carbon Autonomous Vessel Operations: Enhancing CO₂ Emission Prediction and Green Autonomous Shipping Efficien... by Jiahao Ni, Hongjun Tian, Kaijie Zhang, Yihong Xue, Yang Xiong

“…Traditional models face limitations in real-time multi-source data analysis and dynamic cross-variable dependency modeling, hindering data-driven decision-making for sustainable autonomous shipping. …”
Get full text

Energy Consumption Modeling and Flight Time Analysis of Micro Drones by Nusin Akram, Mina Khoshrangbaf, Moharram Challenger, Orhan Dagdeviren

Get full text

Age-period-cohort analysis and prediction of tuberculosis trends in China—based on the Global Burden of Disease 2021 data by Zhifei Chen, Xiaodie Chen, Minli Chang, Dongmei Lu, Liping Zhang, Yanling Zheng, Yanling Zheng

Get full text

Design of a Suspension Controller with Human Body Model for Ride Comfort Improvement and Motion Sickness Mitigation by Jinwoo Kim, Seongjin Yim

Get full text

El modelo autonómico de democracia participativa: la situación a partir de la aprobación de los nuevos estatutos de autonomía (Model of Participatory Democracy in Spain's Autonomou... by Reyes Pérez Alberdi

Get full text

YLOMF: You Look Once for Multi-Feature—A Multi-Feature Multi-Task Network for Intelligent Real-Time Perception in Autonomous Driving by B. N. Anoop, S. K. Abhilash, Venu Madhav Nookala, S. Prita, S. Raghavendra

Get full text

Energy efficient routing and task scheduling for autonomous transfer vehicles in intra logistics by İnci Sarıçiçek, Sinem Bozkurt Keser, Azmi Cibi, Tahir Özdemir, Ahmet Yazıcı

Get full text

Development of Educational Game-Based E-Modules to Improve Autonomous Learning Skills by Indah Yana, Miftahus Surur, Fathor Rakhman, Lusi Endang Sri Darmawati

Get full text

Adaptive neural control for marine autonomous surface ships in cross-water scenarios by Xiang YE, Chao CHEN, Jian Xiong JIA, Hang CHEN

“…ObjectiveAn adaptive neural control (ANC) scheme with specified performance is proposed for the tracking control of marine autonomous surface ships (MASS) subject to uncertain model parameters and unknown external environmental disturbances in cross-water scenarios. …”
Get full text

Reinforcement Learning for Autonomous Process Control in Industry 4.0: Advantages and Challenges by Nuria Nievas, Adela Pagès-Bernaus, Francesc Bonada, Lluís Echeverria, Xavier Domingo

“…Various sectors within manufacturing, including robot automation, welding processes, the semiconductor industry, injection molding, metal forming, milling processes, and the power industry, are explored for instances of reinforcement learning application. The analysis focuses on application types, problem modeling, training algorithms, validation methods, and deployment statuses. …”
Get full text

Autonomous learning and creative cognition: the mediating effect of gifted students’ self-efficacy by Şenol Orakcı

“…In this regard, the study examined the role of gifted students’ self-efficacy (SE) as a mediator on the relationship between autonomous learning (AL) and creative cognition (CC).MethodsA proposed conceptual model was tested using a cross-sectional survey design. …”
Get full text

Open the Black Box of Autonomous Learning: A Sustainable Approach to Language Learning by FANG JING HOO, MOHD AMIN MOHD NOH, ZUR 'AIN HARUN, RAIHAN IBRAHIM, NUR' AIN MOHSIN

“…An Autonomous Learning Model (ALM) based 14-week qualitative study examined learners' work and reflections. …”
Get full text

Multi-modal remote sensory learning for multi-objects over autonomous devices by Aysha Naseer, Naif Almudawi, Hanan Aljuaid, Abdulwahab Alazeb, Yahay AlQahtani, Asaad Algarni, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

Get full text

Optimizing Autonomous Taxi Deployment for Safety at Skewed Intersections: A Simulation Study by Zi Yang, Yaojie Yao, Liyan Zhang

“…Here, we investigate the safety impacts of autonomous taxis (ATs) at such intersections using a simulation-based approach, leveraging the VISSIM traffic simulation tool and the Surrogate Safety Assessment Model (SSAM). …”
Get full text

Effects of Vitamin D Deficiency on the Function of the Cardiac Autonomic Nervous System in Rats by Xuemei Luo, Jie Xiong, Hong Cai, Runmei Zou, Fang Li, Yuwen Wang, Cheng Wang

“…Previous studies have shown that autonomic nervous system (ANS) dysfunction was closely related to vitamin D (VD) deficiency, but the mechanism remained unclear. …”
Get full text

Development status and key technologies of deep-sea towing autonomous underwater vehicles by Guanyu LU, Tiedong ZHANG, Zhenglin LI, Dapeng JIANG, Ming LEI, Wanzhen LUO

“…Modeling flexible bodies is key to accurate analysis, and combining multi-body dynamics, finite element method (FEM), and computational fluid dynamics (CFD) methods is a future trend. …”
Get full text

Study of the reasons and parameters of common-mode fluctuations of power in autonomous electrical complexes by A. E. Savenko, S. E. Savenko, P. S. Savenko

“…The problem of the existence of common-mode and exchange power fluctuations when parallel operation of synchronous generators in autonomous electrical systems is considered. The methods of mathematical modeling obtained the amplitude and period of common-mode oscillations in the whole possible range of settings of the object under study. …”
Get full text

Mind the gap: Bridging the divide between AI aspirations and the reality of autonomous microscopy by Grace Guinan, Addison Salvador, Michelle A. Smeaton, Andrew Glaws, Hilary Egan, Brian C. Wyatt, Babak Anasori, Kevin R. Fiedler, Matthew J. Olszta, Steven R. Spurgeon

“…We present our recent advancements in developing domain-aware, multimodal models for microscopy analysis capable of describing complex atomic systems. …”
Get full text

Comparison of Different Controller Architectures for Autonomous Driving and Recommendations for Robust and Safe Implementations by M. A. Shadab Siddiqui, M. S. Rabbi, Md Jobayer Islam, Radif Uddin Ahmed

“…Research trends reveal a significant shift toward deep learning approaches (65.6%) compared to rule-based methods (34.4%), reflecting the growing dominance of data-driven techniques in autonomous vehicle research. Performance analysis of transformer-based models demonstrates exceptional accuracy, with ViT-SAC achieving 100% success rate in low-density traffic scenarios and DRLNDT reaching 99.9% success rate in navigation tasks. …”
Get full text

Autonomic function and change in functional capacity in older adults: a longitudinal investigation by I-Chien Wu, Yung-Yi Lu, Wei-Ting Tseng, Pei-Fen Chen

“…Linear mixed models analysis showed that 1 SD lower powers in low-frequency range at baseline was associated with a 0.11 (95% CI 0.01–0.21) s/year faster increase in chair rise time during the follow-up, whereas 1 SD increase in powers in high-frequency range and 1 SD decrease in the ratio of powers in low-frequency range to powers in high-frequency range during the follow-up were associated with a 0.22 (95% CI 0.06–0.39) s and 0.17 (95% CI 0.01–0.33) s increase in chair rise time. …”
Get full text