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Signals, Volume 6, Issue 3

September 2025 - 20 articles

Cover Story: This study introduces a novel non-invasive framework for assessing the quality of four bioactive oils (olive oil, sunflower oil, tomato seed oil, and pumpkin seed oil) through infrared thermography and deep learning. The customized electronic system designed acquires thermographic signals under controlled temperature and humidity conditions. The acquisition system was used to extract thermal data. A hybrid deep learning model that integrates Convolutional Neural Networks (CNNs) with Long Short-Term Memory (LSTM) was built to classify the oils based on their stability, thermal reactivity, and potential health benefits. Signal analysis has shown that the AI-based method achieves an F1-score of 93.66%, providing a non-invasive and intelligent framework for the validation and traceability of nutritional compounds. View this paper
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Articles (20)

  • Article
  • Open Access
1,704 Views
25 Pages

Intelligent Face Recognition: Comprehensive Feature Extraction Methods for Holistic Face Analysis and Modalities

  • Thoalfeqar G. Jarullah,
  • Ahmad Saeed Mohammad,
  • Musab T. S. Al-Kaltakchi and
  • Jabir Alshehabi Al-Ani

19 September 2025

Face recognition technology utilizes unique facial features to analyze and compare individuals for identification and verification purposes. This technology is crucial for several reasons, such as improving security and authentication, effectively ve...

  • Review
  • Open Access
2,027 Views
15 Pages

11 September 2025

Stroke remains one of the leading causes of disability worldwide, often resulting in persistent impairments in gait and balance. Traditional rehabilitation methods—though beneficial—are limited by factors such as therapist dependency, low...

  • Article
  • Open Access
1,373 Views
32 Pages

Deep Learning for Wildlife Monitoring: Near-Infrared Bat Detection Using YOLO Frameworks

  • José-Joel González-Barbosa,
  • Israel Cruz Rangel,
  • Alfonso Ramírez-Pedraza,
  • Raymundo Ramírez-Pedraza,
  • Isabel Bárcenas-Reyes,
  • Erick-Alejandro González-Barbosa and
  • Miguel Razo-Razo

4 September 2025

Bats are ecologically vital mammals, serving as pollinators, seed dispersers, and bioindicators of ecosystem health. Many species inhabit natural caves, which offer optimal conditions for survival but present challenges for direct ecological monitori...

  • Article
  • Open Access
2,481 Views
18 Pages

EMG-Based Recognition of Lower Limb Movements in Athletes: A Comparative Study of Classification Techniques

  • Kudratjon Zohirov,
  • Sarvar Makhmudjanov,
  • Feruz Ruziboev,
  • Golib Berdiev,
  • Mirjakhon Temirov,
  • Gulrukh Sherboboyeva,
  • Firuza Achilova,
  • Gulmira Pardayeva and
  • Sardor Boykobilov

2 September 2025

In this article, the classification of signals arising from the movements of the lower limb of the leg (LLL) based on electromyography (EMG) (walking, sitting, up and down the stairs) was carried out. In the data collection process, 25 athletes aged...

  • Article
  • Open Access
1 Citations
1,030 Views
21 Pages

2 September 2025

Distributed target tracking in multi-agent networks plays a critical role in cooperative sensing and autonomous navigation. However, it faces significant challenges in highly dynamic and adversarial setups. This study aims to enhance the resilience o...

  • Article
  • Open Access
1 Citations
872 Views
17 Pages

21 August 2025

Electroencephalogram (EEG)-based identification offers a promising biometric solution by leveraging the uniqueness of individual brain activity patterns. This study proposes a framework based on a convolutional autoencoder (CAE) along with a traditio...

  • Article
  • Open Access
1,058 Views
15 Pages

Decision Tree and ANOVA as Feature Selection from Vibration Signals to Improve the Diagnosis of Belt Conveyor Idlers

  • João L. L. Soares,
  • Thiago B. Costa,
  • Geovane S. do Nascimento,
  • Walter S. Sousa,
  • Jullyane M. S. de Figueiredo,
  • Danilo S. Braga,
  • André L. A. Mesquita and
  • Alexandre L. A. Mesquita

13 August 2025

This study aims to compare decision tree and Analysis of Variance (ANOVA) techniques as feature selection methods, combined with Wavelet Packet Decomposition (WPD) for feature extraction, to enhance the diagnosis of faults in belt conveyor idlers. Be...

  • Article
  • Open Access
1,135 Views
16 Pages

Rocket Launch Detection with Smartphone Audio and Transfer Learning

  • Sarah K. Popenhagen,
  • Samuel Kei Takazawa and
  • Milton A. Garcés

11 August 2025

Rocket launches generate infrasound signatures that have been detected at great distances. Due to the sparsity of the networks that have made these detections, however, most signals are detected tens of minutes to hours after the rocket launch. In th...

  • Article
  • Open Access
1 Citations
2,520 Views
17 Pages

8 August 2025

Accurate teeth segmentation and orientation are fundamental in modern oral healthcare, enabling precise diagnosis, treatment planning, and dental implant design. In this study, we present a comprehensive approach to teeth segmentation and orientation...

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Signals - ISSN 2624-6120