Intelligent recognition of students' behavior for smart learning environments. [PDF]
Abozeid A, Alrashdi I, Al-Makhlasawy RM.
europepmc +1 more source
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source
A blockchain based deep learning framework for a smart learning environment. [PDF]
Ouf S, Ahmed S, Helmy Y.
europepmc +1 more source
Soft Robotic Snake with Tunable Undulatory Gait for Efficient Underwater Locomotion
This study designs an underwater soft snake robot using 3D‐printed soft actuators, controlled by specific signals to generate sinusoidal undulation. Results show a positive correlation between speed and swing amplitude, with optimal performance at 2/3π phase offset, PLA tail, 1.2 voltage growth rate, and 6s undulation period achieving a maximum speed ...
Huichen Ma, Junjie Zhou, Raye Yeow
wiley +1 more source
Enhancing Public Health Education Through Smart Learning Environments: Integrating Technology and Pedagogy. [PDF]
Patrick SM +3 more
europepmc +1 more source
Hard‐Magnetic Soft Millirobots in Underactuated Systems
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
Understanding continued use of smart learning platforms: psychological wellbeing in an extended TAM-ISCM model. [PDF]
Li J, Jin M, Chen X.
europepmc +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
HOW GENERATIVE AI AUTONOMOUS AGENTS SHAPE THE CURRENT BUSINESS TRENDS AND SMART LEARNING
This paper explores the transformative impact of generative AI autonomous agents on current business trends and smart learning. It examines how these agents are reshaping industries by automating decision-making, optimizing processes, and enhancing ...
Josef Daněk, Jan Pospíšil
doaj +1 more source
Guidelines for Integrating actionable A-SMART Learning Outcomes into the Backward Design Process. [PDF]
Kiyan Tsunami C +19 more
europepmc +1 more source

