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Computer Sciences & Mathematics Forum, Volume 2, Issue 1

2022 IOCA 2021 - 23 articles

The 1st International Electronic Conference on Algorithms

Online | 27 September–10 October 2021

Volume Editor:
Frank Werner, Otto-Von-Guericke-University, Germany

Cover Story: IOCA 2021 aims to promote and advance all disciplines of the development of algorithms, a field that is rapidly growing. Both theoretical and application works are welcome. The conference will bring together impressive researchers and practitioners currently working in the area of the design and analysis of algorithms and their latest results will be presented. Subjects of interest include, but are not limited to: Databases and Data Structures; Combinatorial Optimization, Graph and Network Algorithms; Evolutionary Algorithms and Machine Learning; Parallel and Distributed Algorithms; Randomized, Online and Approximation Algorithms; Analysis of Algorithms and Complexity Theory; Algorithms for Multidisciplinary Applications.
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Articles (23)

  • Abstract
  • Open Access
3 Citations
1,491 Views
1 Page

This study aims at constructing new and effective fully explicit numerical schemes for solving the heat conduction equation. We use fractional time steps for the odd cells in the well-known odd–even hopscotch structure and fill it with several...

  • Abstract
  • Open Access
1 Citations
1,177 Views
1 Page

Multi-Commodity Contraflow Problem on Lossy Network with Asymmetric Transit times

  • Shiva Prakash Gupta,
  • Urmila Pyakurel and
  • Tanka Nath Dhamala

During the transmission of commodities from one place to another, there may be loss due to death, leakage, damage, or evaporation. To address this problem, each arc of the network contains a gain factor. The network is a lossy network with a gain fac...

  • Proceeding Paper
  • Open Access
2,535 Views
8 Pages

Deep Learning Methodologies for Diagnosis of Respiratory Disorders from Chest X-ray Images: A Comparative Study

  • Akhil Appu Shetty,
  • Navya Thirumaleshwar Hegde,
  • Aldrin Claytus Vaz and
  • Chrompet Ramesh Srinivasan

Chest radiography needs timely diseases diagnosis and reporting of potential findings in the images, as it is an important diagnostic imaging test in medical practice. A crucial step in radiology workflow is the fast, automated, and reliable detectio...

  • Abstract
  • Open Access
1,603 Views
1 Page

Timeseries forecasting plays an important role in many applications where knowledge of the future behaviour of a given quantity of interest is required. Traditionally, this task is approached using methods such as exponential smoothing, ARIMA and, mo...

  • Proceeding Paper
  • Open Access
2,398 Views
8 Pages

In this work, we exploit supervised machine learning (ML) to investigate the relationship between architectural form and structural efficiency under seismic excitations. We inspect a small dataset of simulated responses of tall buildings, differing i...

  • Abstract
  • Open Access
1,172 Views
1 Page

Vectorial Iterative Schemes with Memory for Solving Nonlinear Systems of Equations

  • Ramandeep Behl,
  • Alicia Cordero,
  • Juan R. Torregrosa and
  • Sonia Bhalla

There exist in the literature many iterative methods for solving nonlinear problems. Some of these methods can be transferred directly to the context of nonlinear systems, keeping the order of convergence, but others cannot be directly extended to a...

  • Proceeding Paper
  • Open Access
7 Citations
3,606 Views
9 Pages

AI-Based Misogyny Detection from Arabic Levantine Twitter Tweets

  • Abdullah Y. Muaad,
  • Hanumanthappa Jayappa Davanagere,
  • Mugahed A. Al-antari,
  • J. V. Bibal Benifa and
  • Channabasava Chola

Twitter is one of the social media platforms that is extensively used to share public opinions. Arabic text detection system (ATDS) is a challenging computational task in the field of Natural Language Processing (NLP) using Artificial Intelligence (A...

  • Proceeding Paper
  • Open Access
3 Citations
1,872 Views
9 Pages

To meet the need for reliable real-time monitoring of civil structures, safety control and optimization of maintenance operations, this paper presents a computational method for the stochastic estimation of the degradation of the load bearing structu...

  • Proceeding Paper
  • Open Access
8 Citations
3,637 Views
8 Pages

A Hybrid Deep Learning Approach for COVID-19 Diagnosis via CT and X-ray Medical Images

  • Channabasava Chola,
  • Pramodha Mallikarjuna,
  • Abdullah Y. Muaad,
  • J. V. Bibal Benifa,
  • Jayappa Hanumanthappa and
  • Mugahed A. Al-antari

The COVID-19 pandemic has been a global health problem since December 2019. To date, the total number of confirmed cases, recoveries, and deaths has exponentially increased on a daily basis worldwide. In this paper, a hybrid deep learning approach is...

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Comput. Sci. Math. Forum - ISSN 2813-0324