Results 61 to 70 of about 926 (278)
A triple‐cation perovskite detector with a quasi‐interdigitated back‐contact architecture enables highly sensitive and linear EUV/soft x‐ray detection by minimizing electrode shadowing and enhancing charge extraction. Efficient interfacial carrier collection and rapid temporal response highlight the potential of back‐contact‐engineered perovskites for ...
Jingying Liu +5 more
wiley +1 more source
Hybrid radar emitter recognition based on rough k-means classifier and SVM
Due to the increasing complexity of electromagnetic signals, there exists a significant challenge for recognizing radar emitter signals. In this article, a hybrid recognition approach is presented that classifies radar emitter signals by exploiting the ...
Arumugam Nallanathan +13 more
core +1 more source
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 +4 more
wiley +1 more source
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 +8 more
wiley +1 more source
Flexible Chitosan‐glycerol sensor integrated with porous laser‐induced graphene (LIG) electrodes enable room‐temperature chemiresistive detection of ammonia (NH3) and proof‐of‐concept detection of fish spoilage. ABSTRACT We report a metal‐free sensor platform combining laser induced graphene (LIG) electrodes with drop‐deposited, glycerol‐plasticized ...
Mintesinot Tamiru Mengistu +9 more
wiley +1 more source
Open set recognition of radar specific emitter based on adversarial reciprocal point learning
Radar specific emitter identification (SEI) is a key technology in electromagnetic spectrum control. Although the emergence of deep learning has promoted the development of SEI, there are still many shortcomings in the current research results.
Zhang, Wenxu +4 more
core +1 more source
Due to the increasing complexity of electromagnetic signals, there exists a significant challenge for radar emitter signal recognition. To address this challenge, multi-component radar emitter recognition under a complicated noise environment is studied ...
Zhutian Yang +7 more
core +1 more source
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source
Passive localization methods based on synthetic aperture imaging offer high positioning accuracy. However, in scenarios involving multiple radar emitters transmitting Linear Frequency-Modulated (LFM) signals, distinguishing signals that are overlapped in
Shunsheng ZHANG, Zihan CAI, Yongxu LIU
doaj +1 more source

