Institution
Ryerson University
Education•Toronto, Ontario, Canada•
About: Ryerson University is a education organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Computer science & Population. The organization has 7671 authors who have published 20164 publications receiving 394976 citations. The organization is also known as: Ryerson Polytechnical Institute & Ryerson Institute of Technology.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this paper, the effect of bondline thickness, from 130μm to 790μm, on the fatigue and quasi-static fracture behavior of aluminum joints bonded using a toughened epoxy adhesive was studied experimentally under mode-I and mixed-mode (ADCB) loading.
101 citations
••
TL;DR: Through using the brass-PZTtube structure, the motor can take high magnitude vibration to achieve a high output power in comparison to PZT tube based ultrasonic motors.
101 citations
••
TL;DR: Two variations of simulated annealing method have been proposed and tested on the minimum makespan job shop scheduling problems and an adaptive temperature control scheme is used that changes temperature based on the number of consecutive improving moves.
101 citations
••
TL;DR: A TF-based audio coding scheme with novel psychoacoustics model, music classification, audio classification of environmental sounds, audio fingerprinting, and audio watermarking will be presented to demonstrate the advantages of using time-frequency approaches in analyzing and extracting information from audio signals.
Abstract: Audio signals are information rich nonstationary signals that play an important role in our day-to-day communication, perception of environment, and entertainment. Due to its non-stationary nature, time- or frequency-only approaches are inadequate in analyzing these signals. A joint time-frequency (TF) approach would be a better choice to efficiently process these signals. In this digital era, compression, intelligent indexing for content-based retrieval, classification, and protection of digital audio content are few of the areas that encapsulate a majority of the audio signal processing applications. In this paper, we present a comprehensive array of TF methodologies that successfully address applications in all of the above mentioned areas. A TF-based audio coding scheme with novel psychoacoustics model, music classification, audio classification of environmental sounds, audio fingerprinting, and audio watermarking will be presented to demonstrate the advantages of using time-frequency approaches in analyzing and extracting information from audio signals.
101 citations
••
TL;DR: In this paper, the experimental and numerical results of soot formation in laminar coflow diffusion flames of vaporized gasoline/ethanol blends at atmospheric pressure were reported to gain improved understanding of ethanol addition to gasoline on soot forming.
101 citations
Authors
Showing all 7846 results
Name | H-index | Papers | Citations |
---|---|---|---|
Eleftherios P. Diamandis | 110 | 1064 | 52654 |
Michael D. Taylor | 97 | 505 | 42789 |
Peter Nijkamp | 97 | 2407 | 50826 |
Anthony B. Miller | 93 | 416 | 36777 |
Muhammad Shahbaz | 92 | 1001 | 34170 |
Rakesh Kumar | 91 | 1959 | 39017 |
Marc A. Rosen | 85 | 770 | 30666 |
Bjorn Ottersten | 81 | 1058 | 28359 |
Barry Wellman | 77 | 219 | 34234 |
Bin Wu | 73 | 464 | 24877 |
Xinbin Feng | 72 | 413 | 19193 |
Roy Freeman | 69 | 254 | 22707 |
Xiaokang Yang | 68 | 518 | 17663 |
Amir H. Gandomi | 67 | 375 | 22192 |
Konstantinos N. Plataniotis | 63 | 595 | 16695 |