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Technologies, Volume 11, Issue 3

2023 June - 19 articles

Cover Story: Accurate prediction of electrical loads is crucial for efficient power system operation and market management. Various forecasting platforms have been proposed to address this challenge, including the use of recurrent neural networks trained on hourly or daily load inputs. This paper presents a framework that employs an RNN model to forecast future electrical load and provides a comparative analysis with other state-of-the-art architectures trained in different variations. Extensive testing on a dataset including Greece's electricity load values per hour demonstrates the framework's ability to capture underlying patterns and achieve high predictive accuracy. Notably, the proposed RNN outperforms more complex neural networks, indicating its effectiveness in capturing data patterns or trends. View this paper
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Articles (19)

  • Review
  • Open Access
27 Citations
10,638 Views
21 Pages

An Extensive Critique on Smart Grid Technologies: Recent Advancements, Key Challenges, and Future Directions

  • Sonam Dorji,
  • Albert Alexander Stonier,
  • Geno Peter,
  • Ramya Kuppusamy and
  • Yuvaraja Teekaraman

Given the various aspects of climate change and the growing demand for energy, energy efficiency and environmental protection have become major concerns worldwide. If not taken care of, energy demand will become unmanageable due to technological grow...

  • Communication
  • Open Access
5 Citations
3,604 Views
11 Pages

Electronic circuits/systems operating in harsh environments such as space are likely to experience faults or failures due to the impact of high-energy radiation. Given this, to overcome any faults or failures, redundancy is usually employed as a hard...

  • Systematic Review
  • Open Access
6 Citations
7,418 Views
15 Pages

Training Impulse and Its Impact on Load Management in Collegiate and Professional Soccer Players

  • Clinton Gardner,
  • James W. Navalta,
  • Bryson Carrier,
  • Charli Aguilar and
  • Jorge Perdomo Rodriguez

Methods: Training impulse (TRIMP) is obtained through wearable technology and plays a direct role on the load management of soccer players. It is important to understand TRIMP to best prepare athletes for competition. A systematic search for articles...

  • Article
  • Open Access
3 Citations
4,152 Views
13 Pages

Two Fe-Zr-B-Cu Nanocrystalline Magnetic Alloys Produced by Mechanical Alloying Technique

  • Jason Daza,
  • Wael Ben Mbarek,
  • Lluisa Escoda,
  • Joan Saurina and
  • Joan-Josep Suñol

Fe-rich soft magnetic alloys are candidates for applications as magnetic sensors and actuators. Spring magnets can be obtained when these alloys are added to hard magnetic compounds. In this work, two nanocrystalline Fe-Zr-B-Cu alloys are produced by...

  • Article
  • Open Access
5 Citations
3,981 Views
17 Pages

Injectable Hydrated Calcium Phosphate Bone-like Paste: Synthesis, In Vitro, and In Vivo Biocompatibility Assessment

  • Anastasia Yu. Teterina,
  • Vladislav V. Minaychev,
  • Polina V. Smirnova,
  • Margarita I. Kobiakova,
  • Igor V. Smirnov,
  • Roman S. Fadeev,
  • Alexey A. Egorov,
  • Artem A. Ashmarin,
  • Kira V. Pyatina and
  • Vladimir S. Komlev
  • + 2 authors

The injectable hydrated calcium phosphate bone-like paste (hCPP) was developed with suitable rheological characteristics, enabling unhindered injection through standard 23G needles. In vitro assays showed the cytocompatibility of hCPP with mesenchyma...

  • Review
  • Open Access
27 Citations
19,795 Views
50 Pages

Smartphone Security and Privacy: A Survey on APTs, Sensor-Based Attacks, Side-Channel Attacks, Google Play Attacks, and Defenses

  • Zia Muhammad,
  • Zahid Anwar,
  • Abdul Rehman Javed,
  • Bilal Saleem,
  • Sidra Abbas and
  • Thippa Reddy Gadekallu

There is an exponential rise in the use of smartphones in government and private institutions due to business dependencies such as communication, virtual meetings, and access to global information. These smartphones are an attractive target for cyber...

  • Article
  • Open Access
6 Citations
5,386 Views
24 Pages

Medicine waste is a global issue, with economic, environmental, and social consequences that are only predicted to worsen. A structured review of the literature on medicine reuse revealed that there is a lack of technological applications addressing...

  • Article
  • Open Access
3 Citations
4,615 Views
18 Pages

Radiation dose tracking is becoming very important due to the popularity of computerized tomography (CT) scans. One of the challenges of radiation dose tracking is that there are several variables that affect the dose from the patient side, machine s...

  • Article
  • Open Access
6 Citations
4,327 Views
13 Pages

Cross-Tier Interference Mitigation for RIS-Assisted Heterogeneous Networks

  • Abdel Nasser Soumana Hamadou,
  • Ciira wa Maina and
  • Moussa Moindze Soidridine

With the development of the next generation of mobile networks, new research challenges have emerged, and new technologies have been proposed to address them. On the other hand, reconfigurable intelligent surface (RIS) technology is being investigate...

  • Article
  • Open Access
2 Citations
2,518 Views
13 Pages

Jordan Canonical Form for Solving the Fault Diagnosis and Estimation Problems

  • Oleg Sergiyenko,
  • Alexey Zhirabok,
  • Paolo Mercorelli,
  • Alexander Zuev,
  • Vladimir Filaretov and
  • Vera Tyrsa

The suggested methods for solving fault diagnosis and estimation problems are based on the use of the Jordan canonical form. The diagnostic observer, virtual sensor, interval, and sliding mode observer design problems are considered. Algorithms have...

  • Article
  • Open Access
53 Citations
4,368 Views
14 Pages

Utilization of Artificial Neural Networks for Precise Electrical Load Prediction

  • Christos Pavlatos,
  • Evangelos Makris,
  • Georgios Fotis,
  • Vasiliki Vita and
  • Valeri Mladenov

In the energy-planning sector, the precise prediction of electrical load is a critical matter for the functional operation of power systems and the efficient management of markets. Numerous forecasting platforms have been proposed in the literature t...

  • Article
  • Open Access
9 Citations
15,422 Views
10 Pages

Validation of Aerobic Capacity (VO2max) and Lactate Threshold in Wearable Technology for Athletic Populations

  • Bryson Carrier,
  • Macy M. Helm,
  • Kyle Cruz,
  • Brenna Barrios and
  • James W. Navalta

As wearable technology (WT) has evolved, devices have developed the ability to track a range of physiological variables. These include maximal aerobic capacity (VO2max) and lactate threshold (LT). With WT quickly growing in popularity, independent ev...

  • Communication
  • Open Access
6 Citations
3,725 Views
10 Pages

Corrosion Resistance of Steel S355MC in Crude Glycerol

  • Marián Palcut,
  • Žaneta Gerhátová,
  • Patrik Šulhánek and
  • Peter Gogola

Corrosion is the degradation of materials in oxidizing environments. In aqueous solutions, it is initiated by the surface reaction of the metallic material with the surrounding electrolyte. The corrosion rate of metals can be significantly reduced by...

  • Article
  • Open Access
4 Citations
5,801 Views
17 Pages

The trend of using deep learning techniques to classify arbitrary tasks has grown significantly in the last decade. Such techniques in the background provide a stack of non-linear functions to solve tasks that cannot be solved in a linear manner. Nat...

  • Communication
  • Open Access
4 Citations
3,013 Views
11 Pages

Identifying Growth Patterns in Arid-Zone Onion Crops (Allium Cepa) Using Digital Image Processing

  • David Duarte-Correa,
  • Juvenal Rodríguez-Reséndiz,
  • Germán Díaz-Flórez,
  • Carlos Alberto Olvera-Olvera and
  • José M. Álvarez-Alvarado

The agricultural sector is undergoing a revolution that requires sustainable solutions to the challenges that arise from traditional farming methods. To address these challenges, technical and sustainable support is needed to develop projects that im...

  • Brief Report
  • Open Access
2 Citations
6,307 Views
7 Pages

A Deeper Look into Exercise Intensity Tracking through Mobile Applications: A Brief Report

  • Alexie Elder,
  • Gabriel Guillen,
  • Rebecca Isip,
  • Ruben Zepeda and
  • Zakkoyya H. Lewis

Mobile fitness applications (apps) allow for time-efficient opportunities for physical activity. Current research suggests that fitness apps do not accurately comply with the frequency, intensity, time, and type (FITT) principle. FITT is an important...

  • Article
  • Open Access
16 Citations
8,842 Views
15 Pages

Digital Interaction with Physical Museum Artifacts

  • Andreas Pattakos,
  • Emmanouil Zidianakis,
  • Michalis Sifakis,
  • Michalis Roulios,
  • Nikolaos Partarakis and
  • Constantine Stephanidis

In the digital information world, visualizing information in public spaces has been implemented in various formats and for application contexts such as advertisement, useful information provision, and provision of critical information in the cases of...

  • Communication
  • Open Access
1 Citations
2,927 Views
10 Pages

Towards Safe Visual Navigation of a Wheelchair Using Landmark Detection

  • Christos Sevastopoulos,
  • Mohammad Zaki Zadeh,
  • Michail Theofanidis,
  • Sneh Acharya,
  • Nishi Patel and
  • Fillia Makedon

This article presents a method for extracting high-level semantic information through successful landmark detection using 2D RGB images. In particular, the focus is placed on the presence of particular labels (open path, humans, staircase, doorways,...

  • Article
  • Open Access
3 Citations
4,317 Views
17 Pages

Miniaturized Compact Reconfigurable Half-Mode SIW Phase Shifter with PIN Diodes

  • Franky Dakam Wappi,
  • Bilel Mnasri,
  • Alireza Ghayekhloo,
  • Larbi Talbi and
  • Halim Boutayeb

In this work, a novel electrically reconfigurable phase shifter based on a half-mode substrate integrated waveguide (HM-SIW) is proposed. SIW is a guided transmission line topology, and by using half-mode excitation, a smaller size can be achieved. P...

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Technologies - ISSN 2227-7080