Results 81 to 90 of about 3,104,277 (280)

Hybrid Ferroelectric Tunnel Junctions with Intrinsic Nonlinearity and Self‐Rectification via Interfacial Reconstruction

Advanced Functional Materials, EarlyView.
Rapid thermal annealing reconstructs the BCFO/Nb:STO interface into an atomically thin reconstructed interfacial layer, which reshapes the tunneling barrier and converts a high‐TER ferroelectric tunnel junction into an intrinsically nonlinear, self‐rectifying device.
Hojin Lee, Joonbong Lee, Jinho Byun, Sang‐Hyeok Yang, A young Cho, Sangwoo Lee, Dae Haa Ryu, Hyunbin Chung, Hee Seo Yun, Moon Seop Choi, Yesul Choi, Sungkyun Park, Min‐Hyung Jung, Dongwon Lee, Yoon‐Uk Heo, Hu Young Jeong, Hongseok Kim, Shinhyeong Lee, Yunseok Kim, Young‐Min Kim, Jaekwang Lee, Taekjib Choi   +21 more
wiley   +1 more source

Additively Manufactured Geometry‐Reconfigurable Soft Neural Probes With Monolithic Multifunctionality

Advanced Functional Materials, EarlyView.
A geometry‐reconfigured additive manufacturing strategy converts planar printed soft materials into soft compact neural probes with integrated hydrogel electrodes and microfluidic channels. The resulting NeuroMAP platform enables scalable multichannel recording, localized chemical delivery, stable in vivo electrophysiological recording, and reduced ...
Hyunjin Lee, Xinyi Wang, Sirui Li, Jihyang Park, Hyunseok Lee, Jianting Yao, Kedar Narayan, Yuqi Wang, Jiashu Ren, Yueqi Deng, Salahuddin Ahmed, Denver I. Greenawalt, Archana Pandiyan, Loganathan Veeramuthu, Chi‐Ching Kuo, Tao Zhou   +15 more
wiley   +1 more source

Radio Modulation Classification Optimization Using Combinatorial Deep Learning Technique

IEEE Access
We present an automatic signal modulation classification model using combinatorial deep learning technique. Our proposed deep learning model increase accuracy for low Signal-to-Noise Ratio (SNR) and maintain a high classification accuracy for high SNR ...
Ziad Elkhatib, Firuz Kamalov, Sherif Moussa, Adel Ben Mnaouer, Mustapha C.E. Yagoub, Halim Yanikomeroglu   +5 more
doaj   +1 more source

Degradable, Skin‐Conformal Nanocomposite‐Based Bioelectronic Patches for High‐Fidelity Electrophysiology and Gesture‐Controlled Robotics

Advanced Functional Materials, EarlyView.
A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong, Hongna Yuan, Shubo Liu, Abdulkadir Sanli, Emiliano Bilotti, Han Zhang, Pietro Cataldi, Karin Hing, Oliver Fenwick, Colin J. Humphreys, Dimitrios G. Papageorgiou   +10 more
wiley   +1 more source

Learning-Based Automatic Modulation Classification

, 2015
A Master of Science thesis in Electrical Engineering by Ameen Elsiddig Abdelmutalab entitled, "Learning-Based Automatic Modulation Classification," submitted in May 2015. Thesis advisors are Dr. Khaled Assaleh and Dr. Mohamed El-Tarhuni.
Abdelmutalab, Ameen Elsiddig
core  

Experiences in Automatic Keywording of Particle Physics Literature [PDF]

, 2001
Attributing keywords can assist in the classification and retrieval of documents in the particle physics literature. As information services face a future with less available manpower and more and more documents being written, the possibility of keyword ...
Dallman, David, Montejo Ráez, Arturo, Dallman, David Peter   +2 more
core   +1 more source

Automatic Modulation Classification Based on Hybrid LSTM-MLP With VAE-GAN-Assisted Data Augmentation

IEEE Access
Automatic Modulation Classification (AMC) is a fundamental task in modern wireless communication systems, particularly in cognitive radio, software-defined radio, and next-generation communication environments.
Furkan Balci, Hakki Alparslan Ilgin
doaj   +1 more source

Advances in 3D Bioprinting for Breast Cancer Modeling: Tumor Microenvironment, Metastasis, and Drug Screening

Advanced Healthcare Materials, EarlyView.
Three‐dimensional bioprinting transforms breast cancer modeling from simple constructs into spatially organized, multicellular, perfused, and patient‐derived platforms. This review shows how bioinks, cellular composition, architecture, and flow govern tumor behavior and drug response, while revealing why complexity alone is insufficient without ...
Mustafa Nakipoglu, Mahboobeh Mahmoodi, Ehsanul Hoque Apu, Fahimeh Shahabipour, Sibel Emir Diltemiz, Sanjib Saha, Halima Alem, Nureddin Ashammakhi   +7 more
wiley   +1 more source

Automatic Modulation Classification Using Grey Relational Analysis [PDF]

, 2011
One component of wireless communications of increasing necessity in both civilian and military applications is the process of automatic modulation classification.
Price, Matthew
core  

Automatic modulation classification system for OFDM signals [PDF]

, 2020
MEng (Computer and Electronic Engineering), North-West University, Potchefstroom CampusAutomatic modulation classification (AMC) is the process of automatically determining the modulation technique used in a received signal.
Rossouw, M.
core