Results 181 to 190 of about 75,052 (284)

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

The African Transport Systems Database - a geospatial database of multi-modal connected networks. [PDF]

Sci Data
Colombo S, Pant R, Young M, Thomas F, Russell T, Verschuur J, Hall JW.   +6 more
europepmc   +1 more source

Advances in Solid‐Phase Processing Techniques: Innovations, Applications, and Future Perspectives

Advanced Materials Technologies, EarlyView.
Based on practical manufacturing challenges, this review examines advanced solid‐phase processing techniques that overcome the inherent limitations of conventional melting‐based and traditional solid‐phase manufacturing, enabling the production of higher‐performance components at reduced cost through process innovation and improved supply‐chain ...
Tianhao Wang
wiley   +1 more source

EdgeVidCap: A Channel-Spatial Dual-Branch Lightweight Video Captioning Model for IoT Edge Cameras. [PDF]

Sensors (Basel)
Guo L, Li X, Wang J, Xiao J, Hou Y, Zhi P, Yong B, Li L, Zhou Q, Li K.   +9 more
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Artificial Intelligence-Based Depression Detection. [PDF]

Sensors (Basel)
Kiss G, Viktor P.
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

A multimodal deep fusion framework for highway traffic anomaly detection. [PDF]

Sci Rep
Duan M, Sun S, Liu M.
europepmc   +1 more source

Adhesive Double‐Network Granular Organogel E‐Skin

Advanced Materials Technologies, EarlyView.
We introduce a double‐network granular organogel adhesive for electronic skin, overcoming adhesion and strength trade‐offs. It provides reversible, robust bonding and ionic conductivity, enabling wearable and soft robotic e‐skin. Thanks to the e‐skin adhesive, a soft robotic trunk can recognize touch, temperature, humidity, and acidity.
Antonia Georgopoulou, Benhui Dai, Kadence Shen Yu Chow, Josie Hughes, Esther Amstad   +4 more
wiley   +1 more source

Robust Occupant Behavior Recognition via Multimodal Sequence Modeling: A Comparative Study for In-Vehicle Monitoring Systems. [PDF]

Sensors (Basel)
Kim J, Park BD.
europepmc   +1 more source