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Traitement du Signal

INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC

Traitement du Signal is an academic journal published by INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC. Identifiers: ISSN 0765-0019, eISSN 1958-5608. Indexed in SCIE. Metrics: JIF 1.0. Subject areas: ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, ELECTRICAL & ELECTRONIC, ENGINEERING. tlooto lists 2,130 papers from this journal.

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Journal profile

ISSN
0765-0019
eISSN
1958-5608
Abbreviation
TRAIT SIGNAL
Publisher
INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC
Country
-

Web of Science categories

SCIEARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, ELECTRICAL & ELECTRONIC, ENGINEERING

Scopus ASJC categories

No ASJC category data available.

Keywords

Computer Science, Artificial Intelligence | Engineering, Electrical & Electronic

Papers in this journal

Recent papers

  1. A Hybrid CNN-BiLSTM Model for Real-Time Activity Classification in Distributed Acoustic Sensing Systems

    2026

  2. An Attention-Guided Lightweight YOLO11n with Ghost Convolution for Pediatric Tooth Detection in Panoramic Radiographs

    2026

  3. YOLOv8-CEF: An Efficient Crack Detection and Fine-Grained Localization Framework for Real-Time Bridge Health Monitor

    2026

  4. Multi-Scale Transformer and Explainable AI Framework for Automated Detection of Circulating Tumor Cells

    2026

  5. Internet of Things-Enabled Deep Learning Framework for Automated Detection and Classification of Cardiac Arrhythmia Using ECG Signals

    2026

Most cited papers

  1. 1 - Introduction aux Statistiques de deuxième espèce : applications des Logs-moments et des Logs-cumulants à l'analyse des lois d'images radar

    2002 · 159 citations

  2. Neural Correlate-Based E-Learning Validation and Classification Using Convolutional and Long Short-Term Memory Networks

    2023 · 148 citations

  3. Forest Fire Recognition Based on Feature Extraction from Multi-View Images

    2021 · 143 citations

  4. Deep Learning Based Detection of Dermatological Diseases Using Convolutional Neural Networks and Decision Trees

    2023 · 141 citations

  5. Automatic Detection of Schizophrenia by Applying Deep Learning over Spectrogram Images of EEG Signals

    2020 · 113 citations