Search Results - "2022 7th International Conference on Frontiers of Signal Processing (ICFSP)"

Refine Results
  1. 1

    A Tree-Driven Ensemble Learning Approach to Predict FS Welded Al-6061-T6 Material Behavior by Dorbane, Abdelhakim, Harrou, Fouzi, Sun, Ying

    “…This paper proposes a machine learning approach to forecast the mechanical behavior of an aluminum alloy, Al6061-T6, in the case of friction stir welding…”
    Get full text
    Conference Proceeding
  2. 2

    A Survey on Recent Advances in Fall Detection Systems Using Machine Learning Formalisms by Zerrouki, Nabil, Harrou, Fouzi, Sun, Ying, Djafer, Amina Zouina Ait, Amrane, Houacine

    “…As reported by numerous World Health Organization studies, fall incidents are considered one of the leading causes of loss of autonomy, injuries, and even…”
    Get full text
    Conference Proceeding
  3. 3

    Enhancing Causal Estimation through Unlabeled Offline Data by Teichner, Ron, Eytan, Danny, Meir, Ron

    “…Classic approaches to filtering deal with real-time estimation of the hidden state of an observed system from a time-series of measurements. Model-based…”
    Get full text
    Conference Proceeding
  4. 4

    Short-Term River Forecasting with a Stacked Ensemble of Tributary Models by Donnelly, Patrick J., Junkins, Orion

    “…The ability to accurately forecast river levels is a difficult task. Fluctuations in the flow of each river are determined by complex and localized weather,…”
    Get full text
    Conference Proceeding
  5. 5

    A Machine Learning-Based Approach for Audio Signals Classification using Chebychev Moments and Mel-Coefficients by Pallotta, Luca, Neri, Michael, Buongiorno, Martino, Neri, Alessandro, Giunta, Gaetano

    “…This paper proposes a machine learning-based architecture for audio signals classification based on a joint exploitation of the Chebychev moments and the…”
    Get full text
    Conference Proceeding
  6. 6

    Transcription of Audio to MIDI Using Deep Learning by Donnelly, Patrick J., Ebert, Victoria

    “…We investigate automatic transcription of polyphonic piano music with recurrent neural networks directly from raw audio. Previous approaches to this task rely…”
    Get full text
    Conference Proceeding
  7. 7

    An Algorithm for Automatic Acoustic Alarm Recognition in the Neonatal Intensive Care Unit by Spagnol, Simone, Goos, Tom G., Reiss, Irwin, Ozcan, Elif

    “…Inside the Neonatal Intensive Care Unit (NICU), exposure to loud sounds such as acoustic medical alarms can have adverse effects on neonates, parents, and…”
    Get full text
    Conference Proceeding
  8. 8

    Monitoring Ground-Level Ozone Pollution Based on a Semi-supervised Approach by Bouyeddou, Benamar, Harrou, Fouzi, Dairi, Abdelkader, Sun, Ying

    “…Ozone pollution is among the most harmful pollutants negatively affecting human health. Monitoring abnormal ozone levels concentrations is essential to achieve…”
    Get full text
    Conference Proceeding
  9. 9

    Detecting Ultrasonic Harbor Porpoise Clicks with Hetrodyning and Teager-Kaiser Energy Operator by Donnelly, Patrick J., De Leon, Daniel, Mellinger, David K.

    “…This study advances research in the design of autonomous machine listening agents to identify the presence of marine mammals. We compare two common deep…”
    Get full text
    Conference Proceeding
  10. 10

    A Two-Stage Deep Neural Network with Bounded Complex Ideal Ratio Masking for Monaural Speech Enhancement by Yan, Xiang, Han, Bing, Su, Zhigang

    “…Complex Ideal Ratio Mask (cIRM) estimation is an effective approach for monaural speech enhancement. However, the cIRM is extremely hard to estimate without a…”
    Get full text
    Conference Proceeding
  11. 11

    Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and Mirror Detection Model by Li, Fengze, Ma, Jieming, Tian, Zhongbei, Ge, Ji, Liang, Hai-Ning, Zhang, Yungang, Wen, Tianxi

    “…Mirrors can degrade the performance of computer vision models, but research into detecting them is in the preliminary phase. YOLOv4 achieves phenomenal results…”
    Get full text
    Conference Proceeding
  12. 12

    Estimation of Optical Aberrations in 3D Microscopic Bioimages by Vinogradova, Kira, Myers, Eugene W.

    “…The quality of microscopy images often suffer from optical aberrations. These aberrations and their associated point spread functions have to be quantitatively…”
    Get full text
    Conference Proceeding
  13. 13

    Real-Time Condition Monitoring of Filling Machines with Vibration Analysis and Edge AI by Kuhnel, Johannes, Wiede, Christian, Heidemann, Burkhard, Grabmaier, Anton

    “…This paper presents an embedded sensor system, which allows Condition Monitoring (CM) on filling machines. An auger filler is used as an example, which doses…”
    Get full text
    Conference Proceeding
  14. 14

    Human Detection with A Feedforward Neural Network for Small Microcontrollers by Wulfert, Lars, Wiede, Christian, Verbunt, Martin H., Gembaczka, Pierre, Grabmaier, Anton

    “…Motion detection is widely used in smart home applications. Nevertheless, it is crucial that a non-human movement does not trigger a motion sensor for various…”
    Get full text
    Conference Proceeding
  15. 15

    Partial Attention Modeling for Sentiment Analysis of Big Data by Chan, Ka-Hou, Im, Sio-Kei

    “…Sentiment analysis has grown in importance as a component of NLP. Sentiment analysis in service assessment can help leaders modify programs correctly and in a…”
    Get full text
    Conference Proceeding
  16. 16

    Circulating Tumor Cells Detection by Brightness Values Analysis and Circularity by Wei, Hua, Tanaka, Tomohiro, Aoki, Shin, Yamada, Takeshi, Natori, Takahiro, Aikawa, Naoyuki

    “…Cancer is one of the major social problems, and one in three Japanese people die from cancer. Cancer metastasis is thought to make treatment difficult, and…”
    Get full text
    Conference Proceeding
  17. 17

    Identifying Sentiment from Crowd Audio by Donnelly, Patrick J., Prestwich, Alex

    “…Oftentimes the voices of a few drown out the voices of many. We interpret this problem literally as we investigate the ability of supervised machine learning…”
    Get full text
    Conference Proceeding
  18. 18

    PR-DAD: Phase Retrieval Using Deep Auto-Decoders by Dekel, Shai, Gugel, Leon

    “…Phase retrieval is a well known ill-posed inverse problem where one tries to recover images given only the magnitude values of their Fourier transform as…”
    Get full text
    Conference Proceeding
  19. 19

    Estimating the Physical Parameters of Human Arm Motion from Video using Fixed-Point PCA Transform and Nonlinear Least-Squares Method by Kanarach, Anupong, Nakprasit, Kittikorn, Arnonkijpanich, Banchar

    “…In this paper, we propose a simulation of human arm movement relying on parameters extracted from video. Fixed-Point based PCA is introduced in order to…”
    Get full text
    Conference Proceeding
  20. 20

    Blood Potassium Concentration Estimation on Electrocardiogram Signals Using Machine Learning Techniques by Taguelmimt, Kamilia, Wojak, Julien, Adel, Mouloud

    “…Hyperkalemia is common for patients with chronic kidney disease (CKD) and it is often the cause of sudden cardiac death when it is not monitored. The detection…”
    Get full text
    Conference Proceeding