Results 1 to 10 of about 197 (86)

IDeS (Industrial Design Structure) Method Applied to the Automotive Design Framework: Two Sports Cars with Shared Platform

open access: yesInventions, 2022
The present study was set to validate two different suburban-type sportscar bodies with shared common underpinnings. The chosen method to develop this project was the Industrial Design Structure (IDeS), which characterizes the ability to use the ...
Leonardo Frizziero   +4 more
doaj   +2 more sources

Application of IDeS (Industrial Design Structure) to Sustainable Mobility: Case Study of an Innovative Bicycle

open access: yesInventions, 2021
The present study aims to validate a new research method called IDeS (industrial design structure) through the design of an electric bicycle for everyday city life.
Leonardo Frizziero   +7 more
doaj   +2 more sources

Blitz Vision: Development of a New Full-Electric Sports Sedan Using QFD, SDE and Virtual Prototyping

open access: yesInventions, 2022
In this paper, industrial design structure (IDeS) is applied for the development of two new full-electric sports sedan car proposals that go by the names Blitz Vision AS and Retro.
Leonardo Frizziero   +4 more
doaj   +2 more sources

Development of a E-bike sharing system through the use of IDeS Method

open access: yesProceedings of the International Conference on Industrial Engineering and Operations Management, 2022
The aim of this project is to design a new E-bike sharing system for an Italian city following the Industrial Design Structure (IDeS) research method. The service will be addressed mainly to visitants and tourists and has the purpose to be suitable for ...
Curzio Pagliari   +2 more
semanticscholar   +1 more source

Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis [PDF]

open access: yes2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Self-attention mechanisms are commonly included in a convolutional neural networks to achieve an improved efficiency performance balance. However, adding self-attention mechanisms adds additional hyperparameters to tune for the application at hand.
Andrew Hryniowski, Alexander Wong
semanticscholar   +1 more source

An underlying clock in the extreme flip-flop state transitions of the black hole transient Swift J1658.2-4242 [PDF]

open access: yesAstronomy & Astrophysics, 2020
Aims. Flip-flops are top-hat-like X-ray flux variations, which have been observed in some transient accreting black hole binary systems, and feature simultaneous changes in the spectral hardness and the power density spectrum (PDS).
D. Bogensberger   +10 more
semanticscholar   +1 more source

MobileOne: An Improved One millisecond Mobile Backbone [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
Efficient neural network backbones for mobile devices are often optimized for metrics such as FLOPs or parameter count. However, these metrics may not correlate well with latency of the network when deployed on a mobile device.
Pavan Kumar Anasosalu Vasu   +4 more
semanticscholar   +1 more source

Mechanism of Abelmoschus manihot L. in the Treatment of Contrast-Induced Nephropathy on the Basis of Network Pharmacology Analysis

open access: yesFrontiers in Nephrology, 2022
Background Contrast-induced nephropathy (CIN) is increasingly seen in patients receiving contrast medium. Abelmoschus manihot (L.) Medik. (Malvaceae) and its preparations are widely used and effective in the treatment of various chronic kidney diseases ...

semanticscholar   +1 more source

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
We present CSWin Transformer, an efficient and effective Transformer-based backbone for general-purpose vision tasks. A challenging issue in Transformer design is that global self-attention is very expensive to compute whereas local self-attention often ...
Xiaoyi Dong   +7 more
semanticscholar   +1 more source

Importance Estimation for Neural Network Pruning [PDF]

open access: yesComputer Vision and Pattern Recognition, 2019
Structural pruning of neural network parameters reduces computational, energy, and memory transfer costs during inference. We propose a novel method that estimates the contribution of a neuron (filter) to the final loss and iteratively removes those with
Pavlo Molchanov   +4 more
semanticscholar   +1 more source

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