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Technologies, Volume 11, Issue 6

2023 December - 35 articles

Cover Story: A deep learning classifier was developed for grading the degree of brain injury in hypoxic-ischemic encephalopathy (HIE) for full-term neonates. This utilised a fully convolutional architecture, trained to classify the brain injury grade based on a window of multichannel EEG. There was minimal pre-processing, and no need for the design of hand-crafted features; this demonstrated the ability of the deep architecture to extract features from the raw EEG time series. This classifier was tested in mismatched conditions on a large clinical dataset and provides state-of-the-art performance. Real-time grading of brain injury will facilitate clinical decision making in the treatment of HIE such as when to initiate cooling therapy. View this paper
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Articles (35)

  • Article
  • Open Access
1 Citations
2,899 Views
21 Pages

The study addresses the formidable challenge of calculating atomic coordinates for carbon nanotubes (CNTs) using density functional theory (DFT), a process that can endure for days. To tackle this issue, the research leverages the Genetic Programming...

  • Article
  • Open Access
5 Citations
5,422 Views
22 Pages

The field of computer vision has long grappled with the challenging task of image synthesis, which entails the creation of novel high-fidelity images. This task is underscored by the Generative Learning Trilemma, which posits that it is not possible...

  • Article
  • Open Access
6 Citations
3,295 Views
13 Pages

Loss of electrochemical surface area in proton-exchange membrane is of large practical importance, since membrane degradation largely affects the durability and life of fuel cells. In this paper, the electrokinetic model developed by Holby and Morgan...

  • Article
  • Open Access
3 Citations
3,035 Views
14 Pages

AI-Enabled Compressive Spectrum Classification for Wideband Radios

  • Tassadaq Nawaz and
  • Ramasamy Srinivasaga Naidu

Cognitive radio is a promising technology that emerged as a potential solution to the spectrum shortage problem by enabling opportunistic spectrum access. In many cases, cognitive radios are required to sense a wide range of frequencies to locate the...

  • Article
  • Open Access
4 Citations
2,508 Views
18 Pages

A magnesium-based multi-component alloy (MCA), Mg70Al18Zn6Ca4Y2, was successfully synthesized using the Turning-Induced Deformation (TID) method, with promising improvements in multiple properties such as damping capabilities, hardness (11% to 34% in...

  • Article
  • Open Access
9 Citations
5,330 Views
17 Pages

We present an advanced, low-cost 3D printing system capable of fabricating intricate silicone structures using commercially available off-the-shelf materials. Our system used a custom-designed, motorised syringe pump with a driving lead screw and exc...

  • Article
  • Open Access
7 Citations
2,853 Views
24 Pages

Use of a Residual Neural Network to Demonstrate Feasibility of Ship Detection Based on Synthetic Aperture Radar Raw Data

  • Giorgio Cascelli,
  • Cataldo Guaragnella,
  • Raffaele Nutricato,
  • Khalid Tijani,
  • Alberto Morea,
  • Nicolò Ricciardi and
  • Davide Oscar Nitti

Synthetic Aperture Radar (SAR) is a well-established 2D imaging technique employed as a consolidated practice in several oil spill monitoring services. In this scenario, onboard detection undoubtedly represents an interesting solution to reduce the l...

  • Review
  • Open Access
1 Citations
4,067 Views
15 Pages

Door-Opening Technologies: Search for Affordable Assistive Technology

  • Javeed Shaikh-Mohammed,
  • Yousef Alharbi and
  • Abdulrahman Alqahtani

To the authors’ knowledge, currently, there is no review covering the different technologies applied to opening manual doors. Therefore, this review presents a summary of the various technologies available on the market as well as those under r...

  • Review
  • Open Access
33 Citations
10,812 Views
14 Pages

In the scientific community, it is difficult to find a consensus on defining BIM. Just as the acronym BIM has developed in different ways, it is also understood in different ways. Depending on its understanding, different definitions emerge. It is de...

  • Article
  • Open Access
1 Citations
5,835 Views
18 Pages

Study on Shielding Effectiveness of High Transmittance Coating Film Glasses against Electromagnetic Pulse

  • Che-Min Cheng,
  • Yu-Hsin Chen,
  • Sheng-Yi Lin,
  • Sheng-Der Chao and
  • Shun-Feng Tsai

This study investigated the shielding effectiveness (SE) of glass materials with conductive coatings by establishing a 3000 × 3000 × 3000 mm electromagnetic pulse (EMP)—shielded room according to the EMP shielding requirements in th...

  • Article
  • Open Access
7 Citations
5,055 Views
18 Pages

Detecting Photovoltaic Panels in Aerial Images by Means of Characterising Colours

  • Daniele Marletta,
  • Alessandro Midolo and
  • Emiliano Tramontana

The detection of photovoltaic panels from images is an important field, as it leverages the possibility of forecasting and planning green energy production by assessing the level of energy autonomy for communities. Many existing approaches for detect...

  • Article
  • Open Access
1 Citations
3,880 Views
30 Pages

The discovery of the transient-surge-withstanding capability of electrochemical dual-layer capacitors (EDLCs) led to the development of a unique, commercially beneficial circuit topology known as a supercapacitor transient suppressor (STS). Despite i...

  • Article
  • Open Access
29 Citations
4,299 Views
24 Pages

An Advanced Solution Based on Machine Learning for Remote EMDR Therapy

  • Francesca Fiani,
  • Samuele Russo and
  • Christian Napoli

For this work, a preliminary study proposed virtual interfaces for remote psychotherapy and psychology practices. This study aimed to verify the efficacy of such approaches in obtaining results comparable to in-presence psychotherapy, when the therap...

  • Article
  • Open Access
4 Citations
5,359 Views
11 Pages

Maze Solving Mobile Robot Based on Image Processing and Graph Theory

  • Luis A. Avila-Sánchez,
  • Carlos Sánchez-López,
  • Rocío Ochoa-Montiel,
  • Fredy Montalvo-Galicia,
  • Luis A. Sánchez-Gaspariano,
  • Carlos Hernández-Mejía and
  • Hugo G. González-Hernández

Advances in the development of collision-free path planning algorithms are the main need not only to solve mazes with robotic systems, but also for their use in modern product transportation or green logistics systems and planning merchandise deliver...

  • Article
  • Open Access
5 Citations
5,507 Views
18 Pages

This study presents an innovative pedagogical approach aimed at enhancing the teaching of robotics within the broader context of STEM (science, technology, engineering, and mathematics) education across diverse academic levels. The integration of mob...

  • Communication
  • Open Access
4 Citations
2,774 Views
12 Pages

Magnetic Stirling Cycle for Qubits with Anisotropy near the Quantum Critical Point

  • Cristóbal Araya,
  • Francisco J. Peña,
  • Ariel Norambuena,
  • Bastián Castorene and
  • Patricio Vargas

We studied the performance of a quantum magnetic Stirling cycle that uses a working substance composed of two entangled antiferromagnetic qubits (J) under the influence of an external magnetic field (Bz) and an uniaxial anisotropy field (K) along the...

  • Article
  • Open Access
9 Citations
5,959 Views
21 Pages

We propose a novel obstacle avoidance strategy implemented in a wearable assistive device, which serves as an electronic travel aid (ETA), designed to enhance the safety of visually impaired persons (VIPs) during navigation to their desired destinati...

  • Review
  • Open Access
52 Citations
10,431 Views
26 Pages

This paper explores the application of various machine learning techniques for predicting customer churn in the telecommunications sector. We utilized a publicly accessible dataset and implemented several models, including Artificial Neural Networks,...

  • Review
  • Open Access
14 Citations
4,732 Views
42 Pages

The current review offers a critical survey on published studies concerning the simultaneous use of PCMs and nanofluids for solar thermal energy storage and conversion processes. Also, the main thermophysical properties of PCMs and nanofluids are dis...

  • Article
  • Open Access
11 Citations
6,768 Views
16 Pages

This paper discusses the “Get Real Get Better” (GRGB) approach to implementing agile program management in the U.S. Navy, supported by advanced data analytics and artificial intelligence (AI). GRGB was designed as a set of foundational pr...

  • Article
  • Open Access
10 Citations
11,721 Views
31 Pages

Robotic process automation (RPA) is a popular process automation technology that leverages software to play the function of humans when employing graphical user interfaces. RPA’s scope is limited, and various requirements must be met for it to...

  • Review
  • Open Access
6 Citations
5,496 Views
19 Pages

In recent years, the usage of wearable systems in healthcare has gained much attention, as they can be easily worn by the subject and provide a continuous source of data required for the tracking and diagnosis of multiple kinds of abnormalities or di...

  • Article
  • Open Access
8 Citations
2,684 Views
13 Pages

Solid-state lighting (SSL) devices are ubiquitous in several markets, including architectural, automotive, healthcare, heritage conservation, and entertainment lighting. Fine control of the LED light output is crucial for applications where spectral...

  • Review
  • Open Access
50 Citations
20,439 Views
26 Pages

A Comprehensive Survey of Cybersecurity Threats, Attacks, and Effective Countermeasures in Industrial Internet of Things

  • Abdullah M. Alnajim,
  • Shabana Habib,
  • Muhammad Islam,
  • Su Myat Thwin and
  • Faisal Alotaibi

The Industrial Internet of Things (IIoT) ecosystem faces increased risks and vulnerabilities due to adopting Industry 4.0 standards. Integrating data from various places and converging several systems have heightened the need for robust security meas...

  • Article
  • Open Access
1 Citations
4,584 Views
27 Pages

Broadband powerline communication is a technology developed mainly with consumer applications and bulk data transmission in mind. Typical use cases include file download, streaming, or last-mile internet access for residential buildings. Applications...

  • Article
  • Open Access
7 Citations
3,046 Views
21 Pages

Software Program for the Evaluation of Human Exposure to Electric and Magnetic Fields

  • Adina Giurgiuman,
  • Marian Gliga,
  • Adrian Bojita,
  • Sergiu Andreica,
  • Calin Munteanu,
  • Vasile Topa,
  • Claudia Constantinescu and
  • Claudia Pacurar

The evaluation of human exposure to electric and magnetic fields represents a subject of great scientific and public interest due to the biological effects of electromagnetic fields (EMFs) on the human body and the risks caused by them to living orga...

  • Article
  • Open Access
4 Citations
4,458 Views
13 Pages

Immersive VR (Virtual Reality) Simulator for Vein Blood Sampling

  • Jun-Seong Kim,
  • Kun-Woo Kim,
  • Seong-Won Yang,
  • Joong-Wha Chung and
  • Seong-Yong Moon

Vein blood sampling is a method of mass blood sampling that involves drawing blood from a vein for blood type discrimination, confirmation of various physiological indicators, disease diagnosis, etc.; it is the most commonly used blood sampling metho...

  • Review
  • Open Access
24 Citations
5,817 Views
24 Pages

Recent Technological Progress of Fiber-Optical Sensors for Bio-Mechatronics Applications

  • Mohomad Aqeel Abdhul Rahuman,
  • Nipun Shantha Kahatapitiya,
  • Viraj Niroshan Amarakoon,
  • Udaya Wijenayake,
  • Bhagya Nathali Silva,
  • Mansik Jeon,
  • Jeehyun Kim,
  • Naresh Kumar Ravichandran and
  • Ruchire Eranga Wijesinghe

Bio-mechatronics is an interdisciplinary scientific field that emphasizes the integration of biology and mechatronics to discover innovative solutions for numerous biomedical applications. The broad application spectrum of bio-mechatronics consists o...

  • Article
  • Open Access
2 Citations
3,435 Views
25 Pages

Pitch/Metal Oxide Composite Fibers via Electrospinning for Environmental Applications

  • Bayan Kaidar,
  • Gaukhar Smagulova,
  • Aigerim Imash,
  • Aruzhan Keneshbekova,
  • Akram Ilyanov and
  • Zulkhair Mansurov

This study investigates the synthesis and application of composite electrospun fibers incorporating coal tar pitch (CTP) and various nanomaterial additives, with a specific focus on their potential for eco-bio-applications. The research underscores t...

  • Review
  • Open Access
32 Citations
8,298 Views
52 Pages

Application of Modeling and Control Approaches of Piezoelectric Actuators: A Review

  • Mithun Kanchan,
  • Mohith Santhya,
  • Ritesh Bhat and
  • Nithesh Naik

Piezoelectric actuators find extensive application in delivering precision motion in the micrometer to nanometer range. The advantages of a broader range of motion, rapid response, higher stiffness, and large actuation force from piezoelectric actuat...

  • Article
  • Open Access
7 Citations
3,798 Views
25 Pages

Using existing software technologies for imputing missing genetic data (GD), such as Beagle, HPImpute, Impute, MACH, AlphaPlantImpute, MissForest, and LinkImputeR, has its advantages and disadvantages. The wide range of input parameters and their non...

  • Tutorial
  • Open Access
8 Citations
14,218 Views
27 Pages

Activated carbon has many potential applications in both the liquid and gas phases. How activated carbon can help practitioners in industry is explained. This practical teaching article introduces the first part of the special issue on Recent Advance...

  • Article
  • Open Access
12 Citations
4,438 Views
17 Pages

Improvement of β-SiC Synthesis Technology on Silicon Substrate

  • Yana Suchikova,
  • Sergii Kovachov,
  • Ihor Bohdanov,
  • Artem L. Kozlovskiy,
  • Maxim V. Zdorovets and
  • Anatoli I. Popov

This article presents an enhanced method for synthesizing β-SiC on a silicon substrate, utilizing porous silicon as a buffer layer, followed by thermal carbide formation. This approach ensured strong adhesion of the SiC film to the substrate, fa...

  • Article
  • Open Access
8 Citations
4,859 Views
18 Pages

A deep learning classifier is proposed for grading hypoxic-ischemic encephalopathy (HIE) in neonates. Rather than using handcrafted features, this architecture can be fed with raw EEG. Fully convolutional layers were adopted both in the feature extra...

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Technologies - ISSN 2227-7080