• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 176 matches

• 2024
• 
  Alexios Papaioannou, Asimina Dimara, Charalampos S. Kouzinopoulos, Stelios Krinidis, Christos-Nikolaos Anagnostopoulos, Dimosthenis Ioannidis, Dimitrios Tzovaras:
  LP-OPTIMA: A Framework for Prescriptive Maintenance and Optimization of IoT Resources for Low-Power Embedded Systems. Sensors 24(7): 2125 (2024)
• 
  Yehuda Kra, Yonatan Shoshan, Yehuda Rudin, Adam Teman:
  HAMSA-DI: A Low-Power Dual-Issue RISC-V Core Targeting Energy-Efficient Embedded Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 71(1): 223-236 (2024)
• 
  Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini:
  On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. AICAS 2024: 6-10
• 
  Luca Bompani, Manuele Rusci, Daniele Palossi, Francesco Conti, Luca Benini:
  Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems. CVPR Workshops 2024: 2182-2190
• 
  Yu-Shu Ni, Han-Chun Chen, Chia-Chi Tsai, Chih-Cheng Chen, Po-Yu Chen, Hsien-Kai Kuo, Jun-Ying Hunag, Po-Chi Hu, Jenq-Neng Hwang, Jiun-In Guo:
  Summary of the 2024 Low-Power Efficient and Accurate Facial-Landmark Detection for Embedded Systems. ICME Workshops 2024: 1-6
• 
  Carlos Gabriel de Araujo Gewehr, Nicolas Moura, Lucas Luza, Eduardo Bernardon, Ney Calazans, Rafael Garibotti, Fernando Gehm Moraes:
  Hardware Acceleration of Authenticated Encryption with Associated Data via RISC-V Instruction Set Extensions in Low Power Embedded Systems. LASCAS 2024: 1-5
• 
  Xuzhuo Wang, Guoan Yan, Zhengshuo Li:
  Power-Flow-Embedded Projection Conic Matrix Completion for Low-Observable Distribution Systems. CoRR abs/2403.04985 (2024)
• 
  Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini:
  On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. CoRR abs/2403.10549 (2024)
• 
  Luca Bompani, Manuele Rusci, Daniele Palossi, Francesco Conti, Luca Benini:
  Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems. CoRR abs/2404.11488 (2024)
• 2023
• 
  Shengdong Shi, Qian Jiang, Xin Jin, Weiqiang Wang, Kaihua Liu, Haiyang Chen, Peng Liu, Wei Zhou, Shaowen Yao:
  A comparative analysis of near-infrared image colorization methods for low-power NVIDIA Jetson embedded systems. Frontiers Neurorobotics 17 (2023)
• 
  Daniel Deniz, Gabriel Jimenez-Perera, Ricardo Nolasco, Javier Corral, Francisco Barranco:
  Deep Multimodal Habit Tracking System: A User-adaptive Approach for Low-power Embedded Systems. J. Signal Process. Syst. 95(9): 1037-1050 (2023)
• 
  Josip Zidar, Ivan Aleksi, Tomislav Matic:
  Analysis of energy consumption for SPI and I2C communications in ultra-low power embedded systems. MIPRO 2023: 213-217
• 
  Miguel Lopez-Montiel, Daniel Alejandro Lopez, Oscar Montiel:
  JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded Systems. CoRR abs/2305.11419 (2023)
• 2022
• 
  Shuyao Liu, Shuo Zhao, Pu Zhang, Jingjing Cheng:
  Real-time monocular depth estimation for low-power embedded systems using deep learning. J. Real Time Image Process. 19(5): 997-1006 (2022)
• 
  Sunghoon Hong, Daejin Park:
  Runtime ML-DL Hybrid Inference Platform Based on Multiplexing Adaptive Space-Time Resolution for Fast Car Incident Prevention in Low-Power Embedded Systems. Sensors 22(8): 2998 (2022)
• 
  Subhash Sethumurugan, Shashank Hegde, Hari Cherupalli, John Sartori:
  A scalable symbolic simulation tool for low power embedded systems. DAC 2022: 175-180
• 
  Jun-Long Wang:
  Low-Power Semantic Segmentation on Embedded Systems for Traffic in Asian Countries. ICME Workshops 2022: 1-4
• 
  Sunghoon Hong, Daejin Park:
  Runtime Virtual Lane Prediction Based on Inverse Perspective Transformation and Machine Learning for Lane Departure Warning in Low-Power Embedded Systems. IST 2022: 1-6
• 
  Sudabeh Fotoohi Piraghaj, Nicolas G. Constantin:
  A Low-cost, Minimally-invasive Embedded Monitoring Method for Early Detection of Transistor On-state Resistance Degradation in Power Electronics Systems. NEWCAS 2022: 352-356
• 2021
• 
  Gautier Berthou:
  Operating system dedicated to NVRAM-based low power embedded systems. (Système d'exploitation dédié aux systèmes embarqués basse consommation équipés de NVRAM). INSA de Lyon, France, 2021
• 
  Lorenzo Diana, Jia Xu, Luca Fanucci:
  Oil Spill Identification from SAR Images for Low Power Embedded Systems Using CNN. Remote. Sens. 13(18): 3606 (2021)
• 
  Shashank Hegde, Subhash Sethumurugan, Hari Cherupalli, Henry Duwe, John Sartori:
  Constrained Conservative State Symbolic Co-analysis for Ultra-low-power Embedded Systems. ASP-DAC 2021: 318-324
• 
  Alessandro Longobardi, Franco Tecchia, Marcello Carrozzino, Massimo Bergamasco:
  Efficient Augmented Reality on Low-Power Embedded Systems. AVR 2021: 227-244
• 
  Sunghoon Hong, Daejin Park:
  Lightweight Collaboration of Detecting and Tracking Algorithm in Low-Power Embedded Systems for Forward Collision Warning. ICUFN 2021: 159-162
• 2020
• 
  Gautier Berthou, Kevin Marquet, Tanguy Risset, Guillaume Salagnac:
  Accurate Power Consumption Evaluation for Peripherals in Ultra Low-Power embedded systems. GIoTS 2020: 1-6
• 2019
• 
  Hyeonseok Jung, Hoeseok Yang:
  Efficiently Switchable Context-Aware Dataflow Adaptation Technique for Low-Power Multi-Core Embedded Systems. IEEE Access 7: 177974-177987 (2019)
• 
  Huatao Zhao, Jiongyao Ye, Takahiro Watanabe:
  A Low-power Shared Cache Design with Modified PID Controller for Efficient Multicore Embedded Systems. J. Inf. Process. 27: 149-158 (2019)
• 
  Deepa Mathew, Bijoy Antony Jose, Priyadarsan Patra:
  Performance Analysis of Microkernel Based Virtualization Techniques on Embedded Systems. J. Low Power Electron. 15(2): 273-281 (2019)
• 
  Ching-Hwa Cheng, Tang-Chieh Liu:
  Digitalized-Management Voltage-Domain Programmable Mechanisms for Dual-Vdd Low-Power Embedded Digital Systems. DDECS 2019: 1-4
• 
  Pierre Olivier, A. K. M. Fazla Mehrab, Stefan Lankes, Mohamed Lamine Karaoui, Robert Lyerly, Binoy Ravindran:
  HEXO: Offloading HPC Compute-Intensive Workloads on Low-Cost, Low-Power Embedded Systems. HPDC 2019: 85-96

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