Results 271 to 280 of about 886,852 (323)

Multi-Classification of Skin Lesion Images Including Mpox Disease Using Transformer-Based Deep Learning Architectures. [PDF]

Diagnostics (Basel)
Vuran S, Ucan M, Akin M, Kaya M.
europepmc   +1 more source

Multi‐Scaled Cellulosic Nanonetworks from Tunicates

Advanced Functional Materials, EarlyView.
Microbial and plant nanonetworks of cellulose have enabled a wide range of high‐performance yet sustainable materials. Herein, a third class of cellulosic nanonetworks is showcased by exploiting the only animal tissue‐producing cellulose nanofibers, i.e., ascidians. An ultrastructure including spherical cells and a microvasculature with diameters of 50–
Mano Govindharaj, Mohamed Hamid Salim, M‐Haidar A. Dali, Sarath Haridas Kaniyamparambil, Sagar S. Arya, Zubeen Hathi, Srinivas Mettu, Erlantz Lizundia, Anna Maria Pappa, Charalampos Pitsalidis, Blaise L. Tardy   +10 more
wiley   +1 more source

Mpox-XDE: an ensemble model utilizing deep CNN and explainable AI for monkeypox detection and classification. [PDF]

BMC Infect Dis
Kumar Saha D, Rafi S, Mridha MF, Alfarhood S, Safran M, Kabir MM, Dey N.   +6 more
europepmc   +1 more source

Narrowband Detection via Charge Collection Narrowing Organic Photodetector Enabled by Low Bandgap Random Terpolymer for Biometric Sensing

Advanced Functional Materials, EarlyView.
A novel low‐bandgap random terpolymer is designed for narrow band detection in charge collection narrowing (CCN) based organic photodetectors. With a relative thin active layer (<1 µm), the CCN‐based devices achieved a narrowband response of 68 nm full‐width‐at‐half‐maximum at 916 nm, together with Responsivity values of 0.13 A W−1 and dark current of ...
Matilde Brunetta, Zhuoran Qiao, Adibah Zamhuri, Francesco Furlan, Martina Rimmele, Peter A. Gilhooly‐Finn, Lewis M. Cowen, Filip Aniés, Patipan Sukpoonprom, Stanley Cazaly, Julianna Panidi, Flurin Eisner, Martin Heeney, Bob C. Schroeder, Nicola Gasparini   +14 more
wiley   +1 more source

Enhancing convolutional neural networks in electroencephalogram driver drowsiness detection using human inspired optimizers. [PDF]

Sci Rep
Yadav A, Hussain R, Shukla M, B J, Kalia R, Mary SP, Hsu CY, Mishra MK, Saleem K, El-Meligy M.   +9 more
europepmc   +1 more source

A Flexible Photovoltaic Fatigue Factor for Quantification of Mechanical Device Performance

Advanced Functional Materials, EarlyView.
The flexible Photovoltaic fatigue factor (F) quantifies mechanical and photovoltaic performance as a function of the power conversion efficiency (PCE), the strain (ε${\varepsilon}$), and the number of bending cycles (NBC) in bending tests. The strain depends on the bending radius (R) and the thicknesses of the substrate (ts) and the photovoltaic device
Lulu Sun, Kenjiro Fukuda, Ruiqi Guo, Luigi A. Castriotta, Karen Forberich, Yinhua Zhou, Takao Someya, Christoph J. Brabec, Osbel Almora   +8 more
wiley   +1 more source

Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders. [PDF]

Sci Rep
Sajid M, Razzaq Malik K, Ur Rehman A, Safdar Malik T, Alajmi M, Haider Khan A, Haider A, Hussen S.   +7 more
europepmc   +1 more source

Distinctive Doping Behavior of Conjugated Polymers With Pendant‐Side Conjugation for Enhanced Thermoelectric Properties

Advanced Functional Materials, EarlyView.
Novel conjugated polymers with side‐chain π‐conjugation are developed to enhance organic thermoelectric properties. Remarkably, the pendant doping in the conjugated polymers preserved strong intermolecular ordering in the film states even at high FeCl3 dopant concentrations (16 – 32 mM), achieving a promising power factor > 10 µW m−1 K−2 across a wide ...
Hyeokjun Kim, Sang Beom Kim, Seungok Pyo, Jaeyoung Jang, In Hwan Jung   +4 more
wiley   +1 more source

Performance evaluation of reduced complexity deep neural networks. [PDF]

PLoS One
Agha S, Nazir S, Kaleem M, Najeeb F, Talat R.   +4 more
europepmc   +1 more source

Stacking Ensemble Deep Learning for Real-Time Intrusion Detection in IoMT Environments. [PDF]

Sensors (Basel)
Alalwany E, Alsharif B, Alotaibi Y, Alfahaid A, Mahgoub I, Ilyas M.   +5 more
europepmc   +1 more source