Results 181 to 190 of about 5,989,108 (296)

Classification of Computer Network Users with Convolutional Neural Networks [PDF]

Annals of computer science and information systems, 2018
Jakub Nowak, Marcin Korytkowski, Rafał Scherer   +2 more
doaj   +1 more source

Two Coexisting Pathways to Volatility in Valence‐Change Memory Devices

Advanced Functional Materials, EarlyView.
Volatile VCM‐type memristive devices exhibit current relaxation after resistive switching, but their microscopic origin remains debated. Using pulsed measurements and a new Tunnel‐DLTS approach on Pt/SrTiO3/Nb:SrTiO3 devices, we show that post‐SET volatility is predominantly ionic, while electronic contributions—arising from quasi‐Fermi‐level ...
Johannes Hellwig, Clemens Wittberg, Dimitrios Spithouris, Regina Dittmann   +3 more
wiley   +1 more source

DEMANet: A dehazing enhanced multi-branch attention network for remote sensing images. [PDF]

PLoS One
Liu P, Liu S, He P, Wang G.
europepmc   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control. [PDF]

Adv Sci (Weinh)
Zhu Z, Schaffer N, Yang X.
europepmc   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

DSGF-Net: A Lightweight Dual-Stream Gated Fusion Network for Cross-Subject fNIRS Motor Task Classification. [PDF]

Sensors (Basel)
Wu J, Zhang X, Zhang X, Huang D.
europepmc   +1 more source

3D Bioprinted Glioblastoma Multiforme Models: How the Extracellular Matrix Glycosignature Influences Drug Response

Advanced Functional Materials, EarlyView.
Aberrant glycosylation in the glioblastoma tumor microenvironment drives therapeutic resistance. Here, a 3D bioprinted model was engineered by incorporating α‐NeuNAc‐(2→3)‐β‐D‐Gal‐ and chondroitin sulfate. Combined multiplex immunofluorescence and synchrotron‐based nanoCT analysis revealed that glycan‐matrix interactions dictate specific drug‐escape ...
Francesca Cadamuro, Marco Piazzoni, Ilaria Borghi, Alberto Baeri, Alessandro Fumagalli, Federica Perillo, Hafiz Muhammad Fahad, Martina Ghizzi, Luca Crippa, Gabriella Nicolini, Angela Bentivegna, Daniele Ramazzotti, Valentina Zuliani, Mirko Rivara, Carlo Giorgio Giussani, Andrea Di Cristofori, Guido Cavaletti, Federica Facciotti, Sobhan Sheikhi, Claire Seydoux, Murielle Salome, Peter Cloetens, Alberto Bravin, Paola Coan, Francesco Nicotra, Laura Russo   +25 more
wiley   +1 more source

Distinct roles of brain network flexibility in motor learning across age. [PDF]

Imaging Neurosci (Camb)
Uehara K, Hagihara M, Kitajo K.
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source