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Algorithms, Volume 15, Issue 5

May 2022 - 41 articles

Cover Story: This paper investigates the challenge of identifying piano music in various modalities using a novel retrieval mechanism called marketplace fingerprinting. The defining characteristic of marketplace fingerprinting is choice: it considers a range of fingerprint designs based on a generalization of standard n-grams, and then selects the best design for a specific query at runtime. We show that a retrieval problem is analogous to an economics problem in which a consumer and a store interact, and the marketplace fingerprinting approach provides the consumer with many options and adopts a rational buying strategy that considers cost and expected utility. We demonstrate the effectiveness of this approach in identifying piano music in the form of sheet music, MIDI, and audio. View this paper
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Articles (41)

  • Article
  • Open Access
5 Citations
2,946 Views
14 Pages

A Modified Iterative Algorithm for Numerical Investigation of HIV Infection Dynamics

  • Indranil Ghosh,
  • Muhammad Mahbubur Rashid,
  • Shukranul Mawa,
  • Rupal Roy,
  • Md Manjurul Ahsan,
  • Muhammad Ramiz Uddin,
  • Kishor Datta Gupta and
  • Pallabi Ghosh

23 May 2022

The human immunodeficiency virus (HIV) mainly attacks CD4+ T cells in the host. Chronic HIV infection gradually depletes the CD4+ T cell pool, compromising the host’s immunological reaction to invasive infections and ultimately leading to acqui...

  • Article
  • Open Access
6 Citations
3,530 Views
19 Pages

Detecting and Responding to Concept Drift in Business Processes

  • Lingkai Yang,
  • Sally McClean,
  • Mark Donnelly,
  • Kevin Burke and
  • Kashaf Khan

21 May 2022

Concept drift, which refers to changes in the underlying process structure or customer behaviour over time, is inevitable in business processes, causing challenges in ensuring that the learned model is a proper representation of the new data. Due to...

  • Article
  • Open Access
20 Citations
4,766 Views
19 Pages

21 May 2022

Construction companies are increasingly utilizing sensing technologies to automatically record different steps of the construction process in detail for effective monitoring and control. This generates a significant amount of event data that can be u...

  • Article
  • Open Access
4 Citations
2,972 Views
19 Pages

20 May 2022

Considering the characteristics of different types of users in hybrid carsharing systems, in which sharing autonomous vehicles (SAVs) and conventional sharing cars (CSCs) coexist, a tailored pricing strategy (TPS) is proposed to maximize the operator...

  • Article
  • Open Access
2 Citations
3,571 Views
26 Pages

Research on an Optimal Path Planning Method Based on A* Algorithm for Multi-View Recognition

  • Xinning Li,
  • Qun He,
  • Qin Yang,
  • Neng Wang,
  • Hu Wu and
  • Xianhai Yang

20 May 2022

In order to obtain the optimal perspectives of the recognition target, this paper combines the motion path of the manipulator arm and camera. A path planning method to find the optimal perspectives based on an A* algorithm is proposed. The quality of...

  • Article
  • Open Access
6 Citations
4,932 Views
23 Pages

Agglomerative Clustering with Threshold Optimization via Extreme Value Theory

  • Chunchun Li,
  • Manuel Günther,
  • Akshay Raj Dhamija,
  • Steve Cruz,
  • Mohsen Jafarzadeh,
  • Touqeer Ahmad and
  • Terrance E. Boult

20 May 2022

Clustering is a critical part of many tasks and, in most applications, the number of clusters in the data are unknown and must be estimated. This paper presents an Extreme Value Theory-based approach to threshold selection for clustering, proving tha...

  • Feature Paper
  • Article
  • Open Access
3 Citations
3,431 Views
18 Pages

Stimulation Montage Achieves Balanced Focality and Intensity

  • Yushan Wang,
  • Jonathan Brand and
  • Wentai Liu

20 May 2022

Transcranial direct current stimulation (tDCS) is a non-invasive neuromodulation technique to treat brain disorders by using a constant, low current to stimulate targeted cortex regions. Compared to the conventional tDCS that uses two large pad elect...

  • Review
  • Open Access
3 Citations
3,575 Views
14 Pages

20 May 2022

Model optimization in neuroscience has focused on inferring intracellular parameters from time series observations of the membrane voltage and calcium concentrations. These parameters constitute the fingerprints of ion channel subtypes and may identi...

  • Article
  • Open Access
1 Citations
2,658 Views
14 Pages

16 May 2022

Life-cycle population follow-up data collection is time-consuming and often takes decades. General cohort data studies collect short-to-medium-term data from populations of different age groups. The purpose of constructing a life-cycle simulation met...

  • Article
  • Open Access
83 Citations
9,507 Views
22 Pages

Efficient Machine Learning Models for Early Stage Detection of Autism Spectrum Disorder

  • Mousumi Bala,
  • Mohammad Hanif Ali,
  • Md. Shahriare Satu,
  • Khondokar Fida Hasan and
  • Mohammad Ali Moni

16 May 2022

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that severely impairs an individual’s cognitive, linguistic, object recognition, communication, and social abilities. This situation is not treatable, although early detection of A...

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Algorithms - ISSN 1999-4893Creative Common CC BY license