Results 251 to 260 of about 9,740,699 (341)

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Corporate influence on food and nutrition policies in Latin America and the Caribbean: key determinants and policy directions. [PDF]

Global Health
Villalobos-Pérez A, Lara-Mejía V, Théodore FL, Tolentino-Mayo L.   +3 more
europepmc   +1 more source

New Media Policy?

Journal of e-Media Studies, 2008
openaire   +2 more sources

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

How Australia's social media minimum age law may reshape research recruitment for adolescents under 16. [PDF]

Lancet Reg Health West Pac
O'Dea B, McKenzie I, Torok M.
europepmc   +1 more source

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

Advanced Intelligent Systems, EarlyView.
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley   +1 more source

Impact assessment of a national research collaboration improving health outcomes for working-age Australians with disability. [PDF]

Health Res Policy Syst
Bailie J, Dickinson H, Sully A, Petrie D, Kavanagh A, Yates S, Llewellyn G, Dimov S, Badland H.   +8 more
europepmc   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Understandings of ultra-processed foods among adults with responsibility for household food activities in the United Kingdom: a qualitative study. [PDF]

BMC Glob Public Health
Essman M, Parnham JC, Chang K, Etkind M, Shah P, Smith D, Vasiljevic M, Boyland E, Cummins S, Vamos EP, White M, Adams J.   +11 more
europepmc   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source