Kent W. Nixon — 研究者分析报告

分析模式: fast | 分析时间: 2026-03-16T00:56:01

评级: 早期研究者 (28.5/100)

基本指标

指标
所属机构 未知
h-index 9
总引用数 752
近5年引用 1
论文总数 22
顶会论文数 0
发表年限 2013 - 2022
Semantic Scholar 3334371

高引论文 (Top 20)

# 年份 引用 标题
1 2017 289 MoDNN: Local distributed mobile computing system for Deep Neural Network
2 2020 210 An efficient visually meaningful image compression and encryption scheme based on compressive sensing and dynamic LSB embedding
3 2017 85 MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs
4 2014 39 FingerShadow: An OLED Power Optimization Based on Smartphone Touch Interactions
5 2014 27 Mobile GPU Power Consumption Reduction via Dynamic Resolution and Frame Rate Scaling
6 2016 26 A new learning method for inference accuracy, core occupation, and performance co-optimization on TrueNorth chip
7 2016 14 MORPh: Mobile OLED-friendly recording and playback system for low power video streaming
8 2017 13 AdaLearner: An adaptive distributed mobile learning system for neural networks
9 2014 10 User Classification and Authentication for Mobile Device Based on Gesture Recognition
10 2016 8 Practical power consumption analysis with current smartphones
11 2016 8 SlowMo - enhancing mobile gesture-based authentication schemes via sampling rate optimization
12 2016 6 Scope - quality retaining display rendering workload scaling based on user-smartphone distance
13 2016 5 Footfall - GPS polling scheduler for power saving on wearable devices
14 2013 4 Mobile user classification and authorization based on gesture usage recognition
15 2018 3 SPN Dash - Fast Detection of Adversarial Attacks on Mobile via Sensor Pattern Noise Fingerprinting
16 2017 2 MobiCore: An adaptive hybrid approach for power-efficient CPU management on Android devices
17 2016 1 MORPh: mobile OLED power friendly camera system
18 2019 1 Fast Confidence Detection: One Hot Way to Detect Adversarial Attacks via Sensor Pattern Noise Fingerprinting
19 2020 1 FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks
20 2022 1 Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks