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7 Results Found

  • Article
  • Open Access
15 Citations
3,923 Views
19 Pages

10 February 2022

Very high resolution (VHR) images change detection plays an important role in many remote sensing applications, such as military reconnaissance, urban planning and natural resource monitoring. Recently, fully connected conditional random field (FCCRF...

(This article belongs to the Topic High-Resolution Earth Observation Systems, Technologies, and Applications)
  • Article
  • Open Access
24 Citations
4,509 Views
19 Pages

2 January 2020

Prostate Cancer (PCa) is the most common oncological disease in Western men. Even though a growing effort has been carried out by the scientific community in recent years, accurate and reliable automated PCa detection methods on multiparametric Magne...

(This article belongs to the Special Issue Deep Learning and Neuro-Evolution Methods in Biomedicine and Bioinformatics)
  • Article
  • Open Access
3 Citations
1,356 Views
46 Pages

27 February 2026

With the expansion of water transportation networks and increasing traffic intensity, maritime accidents have become frequent, posing significant threats to safety and property. This study presents a knowledge graph-driven framework for maritime acci...

(This article belongs to the Section Ocean Engineering)
  • Article
  • Open Access
8 Citations
7,546 Views
22 Pages

Sequeval: An Offline Evaluation Framework for Sequence-Based Recommender Systems

  • Diego Monti,
  • Enrico Palumbo,
  • Giuseppe Rizzo and
  • Maurizio Morisio

Recommender systems have gained a lot of popularity due to their large adoption in various industries such as entertainment and tourism. Numerous research efforts have focused on formulating and advancing state-of-the-art of systems that recommend th...

(This article belongs to the Special Issue Modern Recommender Systems: Approaches, Challenges and Applications)
  • Article
  • Open Access
62 Citations
9,799 Views
19 Pages

Named Entity Recognition (NER) in the healthcare domain involves identifying and categorizing disease, drugs, and symptoms for biosurveillance, extracting their related properties and activities, and identifying adverse drug events appearing in texts...

(This article belongs to the Special Issue Disease Prediction, Machine Learning, and Healthcare)
  • Article
  • Open Access
37 Citations
6,186 Views
20 Pages

A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition

  • Keshav Thapa,
  • Zubaer Md. Abdullah Al,
  • Barsha Lamichhane and
  • Sung-Hyun Yang

12 October 2020

Human activity recognition has become an important research topic within the field of pervasive computing, ambient assistive living (AAL), robotics, health-care monitoring, and many more. Techniques for recognizing simple and single activities are ty...

(This article belongs to the Special Issue Deep Learning Methods for Human Activity Recognition and Emotion Detection)
  • Article
  • Open Access
3 Citations
3,888 Views
14 Pages

4 June 2019

Audio event detection (AED) is a task of recognizing the types of audio events in an audio stream and estimating their temporal positions. AED is typically based on fully supervised approaches, requiring strong labels including both the presence and...

(This article belongs to the Section Computing and Artificial Intelligence)