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AI, Volume 3, Issue 4

2022 December - 14 articles

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Articles (14)

  • Article
  • Open Access
4 Citations
3,525 Views
17 Pages

8 December 2022

Given strict emission targets and legal requirements, especially in the automotive industry, environmentally friendly and simultaneously versatile applicable production technologies are gaining importance. In this regard, the use of mechanical joinin...

  • Article
  • Open Access
4 Citations
3,329 Views
15 Pages

30 November 2022

Diverse phenomena such as positron annihilation in the Milky Way, merging binary neutron stars, and dark matter can be better understood by studying their gamma ray emission. Despite their importance, MeV gamma rays have been poorly explored at sensi...

  • Commentary
  • Open Access
31 Citations
16,273 Views
14 Pages

An Ethical Framework for Artificial Intelligence and Sustainable Cities

  • David Pastor-Escuredo,
  • Philip Treleaven and
  • Ricardo Vinuesa

25 November 2022

The digital revolution has brought ethical crossroads of technology and behavior, especially in the realm of sustainable cities. The need for a comprehensive and constructive ethical framework is emerging as digital platforms encounter trouble to art...

  • Article
  • Open Access
6 Citations
3,739 Views
13 Pages

Detecting Emotions behind the Screen

  • Najla Alkaabi,
  • Nazar Zaki,
  • Heba Ismail and
  • Manzoor Khan

22 November 2022

Students’ emotional health is a major contributor to educational success. Hence, to support students’ success in online learning platforms, we contribute with the development of an analysis of the emotional orientations and triggers in th...

  • Article
  • Open Access
7 Citations
4,806 Views
17 Pages

A Patient-Specific Algorithm for Lung Segmentation in Chest Radiographs

  • Manawaduge Supun De Silva,
  • Barath Narayanan Narayanan and
  • Russell C. Hardie

18 November 2022

Lung segmentation plays an important role in computer-aided detection and diagnosis using chest radiographs (CRs). Currently, the U-Net and DeepLabv3+ convolutional neural network architectures are widely used to perform CR lung segmentation. To boos...

  • Article
  • Open Access
4 Citations
4,307 Views
41 Pages

14 November 2022

A war game between two matched fleets of equal size and capability is designed and simulated in this work. Each fleet is composed of a carrier vessel (CV), a guided missile cruiser (CG), and two guided-missile destroyers (DDGs). Each vessel is equipp...

  • Article
  • Open Access
4 Citations
3,840 Views
19 Pages

Male and Female Hormone Reading to Predict Pregnancy Percentage Using a Deep Learning Technique: A Real Case Study

  • Lara Shboul,
  • Kamil Fram,
  • Saleh Sharaeh,
  • Mohammad Alshraideh,
  • Nancy Shaar and
  • Njwan Alshraideh

24 October 2022

Diagnosing gynecological diseases is a significant difficulty for the medical sector. Numerous patients visit gynecological clinics for pregnancies as well as for other illnesses, such as polycystic ovarian syndrome, ovarian cysts, endometritis, meno...

  • Article
  • Open Access
1 Citations
2,804 Views
8 Pages

Structural Model Based on Genetic Algorithm for Inhibiting Fatty Acid Amide Hydrolase

  • Cosmin Trif,
  • Dragos Paul Mihai,
  • Anca Zanfirescu and
  • George Mihai Nitulescu

13 October 2022

The fatty acid amide hydrolase (FAAH) is an enzyme responsible for the degradation of anandamide, an endocannabinoid. Pharmacologically blocking this target can lead to anxiolytic effects; therefore, new inhibitors can improve therapy in this field....

  • Article
  • Open Access
5 Citations
4,940 Views
19 Pages

9 October 2022

Car crashes, known also as vehicle collisions, are recurrent events that occur every day. As long as vehicles exist, vehicle collisions will, unfortunately, continue to occur. When a car crash occurs, it is important to investigate and determine the...

  • Article
  • Open Access
8 Citations
4,114 Views
24 Pages

9 October 2022

Interferometry Synthetic Aperture Radar (InSAR) is an advanced remote sensing technique for studying the earth’s surface topography and deformations; it is used to generate high-quality Digital Elevation Models (DEMs). DEMs are a crucial and pr...

  • Article
  • Open Access
6 Citations
3,417 Views
11 Pages

Dimensionality Reduction Statistical Models for Soil Attribute Prediction Based on Raw Spectral Data

  • Marcelo Chan Fu Wei,
  • Ricardo Canal Filho,
  • Tiago Rodrigues Tavares,
  • José Paulo Molin and
  • Afrânio Márcio Corrêa Vieira

30 September 2022

To obtain a better performance when modeling soil spectral data for attribute prediction, researchers frequently resort to data pretreatment, aiming to reduce noise and highlight the spectral features. Even with the awareness of the existence of dime...

  • Article
  • Open Access
5 Citations
5,634 Views
13 Pages

Model Soups for Various Training and Validation Data

  • Kaiyu Suzuki and
  • Tomofumi Matsuzawa

28 September 2022

Model soups synthesize multiple models after fine-tuning them with different hyperparameters based on the accuracy of the validation data. They train different models on the same training and validation data sets. In this study, we maximized the mode...

  • Brief Report
  • Open Access
3 Citations
3,386 Views
7 Pages

26 September 2022

Data augmentation is needed to use Deep Learning methods for the typically small time series datasets. There is limited literature on the evaluation of the performance of the use of Generative Adversarial Networks for time series data augmentation. W...

  • Communication
  • Open Access
2 Citations
3,760 Views
11 Pages

22 September 2022

Artificial Intelligence (AI) is set to play an ever more important role in our lives and societies. Here, some boundary conditions and possibilities for shaping and using AI as well as advantageously embedding it in daily life are sketched. On the ba...

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AI - ISSN 2673-2688