Results 181 to 190 of about 680,299 (306)

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

Deep learning model BiFPN-YOLOv8m for tree counting in mango orchards using satellite remote sensing data​. [PDF]

Sci Rep
Birla L, Bharadwaj A, Jain R, Deb CK, Sehgal VK, Ramasubramanian V.   +5 more
europepmc   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Automated mapping of glacial lakes in Himachal Pradesh using multi source remote sensing data and machine learning. [PDF]

Sci Rep
Pathak B, Singh A, Tiwari RK, Shukla DP.
europepmc   +1 more source

Respiratory Signal Processing and Analysis Using Flexible Capacitive Sensor Data

Advanced Materials Technologies, EarlyView.
Capacitive pressure sensors based on poly(glycerol sebacate) (PGS) substrates are developed for continuous, non‐invasive respiratory monitoring. Integrated with a signal processing algorithm, they enable accurate tracking of thoracic expansion and retraction.
Bernardo A. Vicente, Raquel Sebastião, Alda Marques, Vitor Sencadas   +3 more
wiley   +1 more source

Forest canopy closure estimation in mountainous southwest China using multi-source remote sensing data. [PDF]

Front Plant Sci
Zhou W, Shu Q, Xia C, Xu L, Xiang Q, Fu L, Yang Z, Wang S.   +7 more
europepmc   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

Advanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi, Sang Won Lee, Mohammad Abrar Uddin, Sina Hassanpoor, Neha Suvindran, Katherine Le, Harun Arkaz, Harishkumar Narayana, Saeid Soltanian, Danial Khorsandi, Negar Hosseinzadeh Kouchehbaghi, Taeil Kim, Yangzhi Zhu   +12 more
wiley   +1 more source

Characterizing grazing and terrain use patterns of Hispano-Breton mares in the Spanish Pyrenees using GPS devices and remote sensing data. [PDF]

Aust Vet J
Plaza J, Sánchez N, Abecia JA, Nieto J, Canto F, Pérez-García ME, Palacios C.   +6 more
europepmc   +1 more source

Tunable Extraordinary Optical Transmission in the Long‐Wavelength Infrared Range Using Electrostatic MEMS Actuation

Advanced Materials Technologies, EarlyView.
A MEMS‐integrated metamaterial filter enables continuous, low‐voltage spectral tuning in the long‐wavelength infrared (LWIR). The device employs extraordinary optical transmission in a dual suspended metasurface stack, where electrostatic actuation precisely controls the intermembrane air gap.
Oleg Bannik, Fedor Kovalev, Michal Zawierta, Dilusha Silva, Lorenzo Faraone, Ilya Shadrivov, Mariusz Martyniuk   +6 more
wiley   +1 more source

Long-term vegetation dynamics in Spain's National Park Network: insights from remote sensing data. [PDF]

Environ Monit Assess
Franquesa M, Adell-Michavila M, Vicente-Serrano SM.   +2 more
europepmc   +1 more source