Results 11 to 20 of about 14,487,149 (305)
Compact Cloud Detection with Bidirectional Self-Attention Knowledge Distillation
Remote Sensing, 2020 The deep convolutional neural network has made significant progress in cloud detection. However, the compromise between having a compact model and high accuracy has always been a challenging task in cloud detection for large-scale remote sensing imagery.
Yajie Chai +6 more
doaj +1 more source
Variation Analysis of CMOS Technologies Using Surface-Potential MOSFET Model
Journal of Telecommunications and Information Technology, 2023 An analysis of the measured macroscopic withinwafer variations for threshold voltage (Vth) and on-current (Ion) over several technology generations (180 nm, 100 nm and 65 nm) is reported.
Hans J ̈urgen Mattausch +6 more
doaj +1 more source
Surface-Potential-Based Compact Modeling of p-GaN Gate HEMTs
Micromachines, 2021 We propose a surface potential (SP)-based compact model of p-GaN gate high electron mobility transistors (HEMTs) which solves the Poisson equation. The model includes all possible charges in the GaN channel layer, including the unintended Mg doping ...
Jie Wang +5 more
doaj +1 more source
Cotton disease identification method based on pruning
Frontiers in Plant Science, 2022 Deep convolutional neural networks (DCNN) have shown promising performance in plant disease recognition. However, these networks cannot be deployed on resource-limited smart devices due to their vast parameters and computations.
Dongqin Zhu +4 more
doaj +1 more source
Reliable Compact Models for the Investigation of Acoustic High-Frequency Effects in MEMS Transducers
Proceedings, 2018 We present a fully coupled multi-energy domain compact model of a MEMS microphone dedicated to the investigation of acoustic high-frequency effects affecting the device behavior.
Gabriele Bosetti +3 more
doaj +1 more source
IEEE Journal of the Electron Devices Society, 2023 This paper presents a compact model for organic thin-film transistors fabricated in the staggered or coplanar device architecture which includes short-channel effects related to the potential barrier in the channel region, which manifest themselves as ...
Alexander Kloes +7 more
doaj +1 more source
IEEE Access, 2020 A non-iterative learning algorithm for artificial neural networks is an alternative to optimize the neural network parameters with extremely fast convergence time.
Syukron Abu Ishaq Alfarozi +3 more
doaj +1 more source
BSIM-CMG compact model for IC CAD: from FinFET to Gate-All-Around FET Technology
Journal of Microelectronic Manufacturing, 2020 We discuss the BSIM-CMG compact model for SPICE simulations of any common multi-gate (CMG) device. This is an industry standard model which has been used extensively for FinFETs IC design and simulation, and has now been extended to accurately model gate-
Avirup Dasgupta, Chenming Hu
doaj +1 more source
Large-Signal RF Modeling with the EKV3 MOSFET Model
Journal of Telecommunications and Information Technology, 2023 This paper presents a validation of the EKV3 MOSFET model under load-pull conditions with high input power at 5.8 GHz, as well as S-parameter measurements with low input power up to 20 GHz.
Maria-Anna Chalkiadaki , Matthias Bucher
doaj +1 more source
Classification of Plant Leaves Using New Compact Convolutional Neural Network Models
Plants, 2021 Precision crop safety relies on automated systems for detecting and classifying plants. This work proposes the detection and classification of nine species of plants of the PlantVillage dataset using the proposed developed compact convolutional neural ...
Shivali Amit Wagle +3 more
doaj +1 more source