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Technologies, Volume 11, Issue 5

2023 October - 38 articles

Cover Story: A new deep neural model called MS-CNN has been developed, and this model has achieved state-of-the-art accuracy (96.05%) in classifying six lung diseases from chest X-ray images. MS-CNN is evaluated on a dataset of 6650 chest X-ray images, outperforms previously reported models and could help in improving early diagnosis and treatment for patients with various lung diseases. The research also showed that MS-CNN can explain its predictions using techniques such as SHAP and Grad-CAM, which could help clinicians in better understanding how the model is making its decisions. The findings of this study suggest that MS-CNN has the potential to revolutionize the diagnosis of lung diseases. The model could be made available to clinicians in the near future, and it could have a significant impact on the lives of patients with lung diseases. View this paper
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Articles (38)

  • Review
  • Open Access
17 Citations
5,809 Views
28 Pages

Green Electrospun Nanofibers for Biomedicine and Biotechnology

  • Elyor Berdimurodov,
  • Omar Dagdag,
  • Khasan Berdimuradov,
  • Wan Mohd Norsani Wan Nik,
  • Ilyos Eliboev,
  • Mansur Ashirov,
  • Sherzod Niyozkulov,
  • Muslum Demir,
  • Chinmurot Yodgorov and
  • Nizomiddin Aliev

Green electrospinning harnesses the potential of renewable biomaterials to craft biodegradable nanofiber structures, expanding their utility across a spectrum of applications. In this comprehensive review, we summarize the production, characterizatio...

  • Article
  • Open Access
5 Citations
4,680 Views
16 Pages

This paper contributes to the field of museum and visitor experience in terms of atmosphere by discussing the “museum digital atmosphere” or MDA, a notion that has been introduced and found across museums in Greece. Research on museum atm...

  • Article
  • Open Access
2,550 Views
12 Pages

In this article, we introduce an innovative hybrid quantum search algorithm, the Robust Non-oracle Quantum Search (RNQS), which is specifically designed to efficiently identify the minimum value within a large set of random numbers. Distinct from the...

  • Article
  • Open Access
1 Citations
2,946 Views
24 Pages

Packet Classification Using TCAM of Narrow Entries

  • Hsin-Tsung Lin,
  • Wei-Han Pan and
  • Pi-Chung Wang

Packet classification based on rules of packet header fields is the key technology for enabling software-defined networking (SDN). Ternary content addressable memory (TCAM) is a widely used hardware for packet classification; however, commercially av...

  • Article
  • Open Access
2,597 Views
15 Pages

Approaches to Obtaining Water-Insoluble Fibrous Matrices from Regenerated Fibroin

  • Nataliya Kildeeva,
  • Nikita Sazhnev,
  • Maria Drozdova,
  • Vasilina Zakharova,
  • Evgeniya Svidchenko,
  • Nikolay Surin and
  • Elena Markvicheva

Silk fibroin (SF) holds promise for the preparation of matrices for tissue engineering and regenerative medicine or for the development of drug delivery systems. Regenerated fibroin from Bombyx mori cocoons is water-soluble and can be processed into...

  • Article
  • Open Access
4 Citations
3,280 Views
18 Pages

Preparation and Characterization of Thermoresponsive Polymer Scaffolds Based on Poly(N-isopropylacrylamide-co-N-tert-butylacrylamide) for Cell Culture

  • Gilyana K. Kazakova,
  • Victoria S. Presniakova,
  • Yuri M. Efremov,
  • Svetlana L. Kotova,
  • Anastasia A. Frolova,
  • Sergei V. Kostjuk,
  • Yury A. Rochev and
  • Peter S. Timashev

In the realm of scaffold-free cell therapies, there is a questto develop organotypic three-dimensional (3D) tissue surrogates in vitro, capitalizing on the inherent ability of cells to create tissues with an efficiency and sophistication that still r...

  • Review
  • Open Access
58 Citations
8,959 Views
31 Pages

Advancements in Doping Strategies for Enhanced Photocatalysts and Adsorbents in Environmental Remediation

  • Pramita Sen,
  • Praneel Bhattacharya,
  • Gargi Mukherjee,
  • Jumasri Ganguly,
  • Berochan Marik,
  • Devyani Thapliyal,
  • Sarojini Verma,
  • George D. Verros,
  • Manvendra Singh Chauhan and
  • Raj Kumar Arya

Environmental pollution poses a pressing global challenge, demanding innovative solutions for effective pollutant removal. Photocatalysts, particularly titanium dioxide (TiO2), are renowned for their catalytic prowess; however, they often require ult...

  • Article
  • Open Access
9 Citations
3,521 Views
30 Pages

Dual-Matrix Domain Wall: A Novel Technique for Generating Permutations by QUBO and Ising Models with Quadratic Sizes

  • Koji Nakano,
  • Shunsuke Tsukiyama,
  • Yasuaki Ito,
  • Takashi Yazane,
  • Junko Yano,
  • Takumi Kato,
  • Shiro Ozaki,
  • Rie Mori and
  • Ryota Katsuki

The Ising model is defined by an objective function using a quadratic formula of qubit variables. The problem of an Ising model aims to determine the qubit values of the variables that minimize the objective function, and many optimization problems c...

  • Article
  • Open Access
25 Citations
4,171 Views
20 Pages

Enhancing Performance of Millimeter Wave MIMO Antenna with a Decoupling and Common Defected Ground Approach

  • Poonam Tiwari,
  • Vishant Gahlaut,
  • Meenu Kaushik,
  • Anshuman Shastri,
  • Vivek Arya,
  • Issa Elfergani,
  • Chemseddine Zebiri and
  • Jonathan Rodriguez

An approach is presented to enhance the isolation of a two-port Multiple Input Multiple Output (MIMO) antenna using a decoupling structure and a common defected ground structure (DGS) that physically separates the antennas from each other. The antenn...

  • Review
  • Open Access
19 Citations
8,572 Views
39 Pages

Thermal management devices such as heat exchangers and heat pipes are integral to safe and efficient performance in multiple engineering applications, including lithium-ion batteries, electric vehicles, electronics, and renewable energy. However, the...

  • Article
  • Open Access
3,485 Views
30 Pages

With the rapid expansion of the Internet of Things (IoT), the necessity for lightweight communication is also increasing due to the constrained capabilities of IoT devices. This paper presents the design of a novel lightweight protocol called the Enh...

  • Article
  • Open Access
1 Citations
2,245 Views
14 Pages

An environmentally friendly alkaline electrolyte of silicate and borate, which contained the addition of carbohydrates (lactose, starch, and dextrin), was applied to produce micro-arc oxidation (MAO) coatings on AZ31B magnesium alloy surfaces in cons...

  • Concept Paper
  • Open Access
2 Citations
2,504 Views
10 Pages

Heuristic Weight Initialization for Diagnosing Heart Diseases Using Feature Ranking

  • Musulmon Lolaev,
  • Shraddha M. Naik,
  • Anand Paul and
  • Abdellah Chehri

The advent of Artificial Intelligence (AI) has had a broad impact on life to solve various tasks. Building AI models and integrating them with modern technologies is a central challenge for researchers. These technologies include wearables and implan...

  • Article
  • Open Access
7 Citations
4,853 Views
22 Pages

Effect of PLGA Concentration in Electrospinning Solution on Biocompatibility, Morphology and Mechanical Properties of Nonwoven Scaffolds

  • Arsalan D. Badaraev,
  • Tuan-Hoang Tran,
  • Anastasia G. Drozd,
  • Evgenii V. Plotnikov,
  • Gleb E. Dubinenko,
  • Anna I. Kozelskaya,
  • Sven Rutkowski and
  • Sergei I. Tverdokhlebov

In this work, the effects of weight concentration on the properties of poly(lactide-co-glycolide) polymeric scaffolds prepared by electrospinning are investigated, using four different weight concentrations of poly(lactide-co-glycolide) for the elect...

  • Article
  • Open Access
4 Citations
3,616 Views
16 Pages

Nanotechnologies are being increasingly widely used in advanced energy fields. Triboelectric nanogenerators (TENGs) represent a class of new-type flexible energy-harvesting devices with promising application prospects in future human societies. As on...

  • Article
  • Open Access
5 Citations
3,111 Views
13 Pages

The persistent threat posed by infectious pathogens remains a formidable challenge for humanity. Rapidly spreading infectious diseases caused by airborne microorganisms have far-reaching global consequences, imposing substantial costs on society. Whi...

  • Article
  • Open Access
37 Citations
6,666 Views
42 Pages

Multi-Scale CNN: An Explainable AI-Integrated Unique Deep Learning Framework for Lung-Affected Disease Classification

  • Ovi Sarkar,
  • Md. Robiul Islam,
  • Md. Khalid Syfullah,
  • Md. Tohidul Islam,
  • Md. Faysal Ahamed,
  • Mominul Ahsan and
  • Julfikar Haider

Lung-related diseases continue to be a leading cause of global mortality. Timely and precise diagnosis is crucial to save lives, but the availability of testing equipment remains a challenge, often coupled with issues of reliability. Recent research...

  • Article
  • Open Access
5 Citations
3,737 Views
16 Pages

Malware propagation is a growing concern due to its potential impact on the security and integrity of connected devices in Internet of Things (IoT) network environments. This study investigates parameter estimation for Susceptible-Infectious-Recovere...

  • Article
  • Open Access
2 Citations
4,529 Views
15 Pages

The compression of data is fundamental to alleviating the costs of transmitting and storing massive datasets employed in myriad fields of our society. Most compression systems employ an entropy coder in their coding pipeline to remove the redundancy...

  • Article
  • Open Access
14 Citations
3,786 Views
26 Pages

Optimal Integration of Machine Learning for Distinct Classification and Activity State Determination in Multiple Sclerosis and Neuromyelitis Optica

  • Maha Gharaibeh,
  • Wlla Abedalaziz,
  • Noor Aldeen Alawad,
  • Hasan Gharaibeh,
  • Ahmad Nasayreh,
  • Mwaffaq El-Heis,
  • Maryam Altalhi,
  • Agostino Forestiero and
  • Laith Abualigah

The intricate neuroinflammatory diseases multiple sclerosis (MS) and neuromyelitis optica (NMO) often present similar clinical symptoms, creating challenges in their precise detection via magnetic resonance imaging (MRI). This challenge is further co...

  • Article
  • Open Access
1 Citations
2,467 Views
14 Pages

The academic and research communities are showing significant interest in the modern and highly promising technology of wireless mesh networks (WMNs) due to their low-cost deployment, self-configuration, self-organization, robustness, scalability, an...

  • Review
  • Open Access
1 Citations
3,085 Views
11 Pages

Level of Technological Maturity of Telemonitoring Systems Focused on Patients with Chronic Kidney Disease Undergoing Peritoneal Dialysis Treatment: A Systematic Literature Review

  • Alejandro Villanueva Cerón,
  • Eduardo López Domínguez,
  • Saúl Domínguez Isidro,
  • María Auxilio Medina Nieto,
  • Jorge De La Calleja and
  • Saúl Eduardo Pomares Hernández

In the field of eHealth, several works have proposed telemonitoring systems focused on patients with chronic kidney disease (CKD) undergoing peritoneal dialysis (PD) treatment. Nevertheless, no secondary study presents a comparative analysis of these...

  • Article
  • Open Access
6 Citations
2,896 Views
17 Pages

Multi-Classification of Lung Infections Using Improved Stacking Convolution Neural Network

  • Usharani Bhimavarapu,
  • Nalini Chintalapudi and
  • Gopi Battineni

Lung disease is a respiratory disease that poses a high risk to people worldwide and includes pneumonia and COVID-19. As such, quick and precise identification of lung disease is vital in medical treatment. Early detection and diagnosis can significa...

  • Article
  • Open Access
1 Citations
2,749 Views
10 Pages

Audio guidance is a common means of helping visually impaired individuals to navigate, thereby increasing their independence. However, the differences between different guidance modalities for locating objects in 3D space have yet to be investigated....

  • Article
  • Open Access
1 Citations
2,287 Views
19 Pages

A Monotonic Early Output Asynchronous Full Adder

  • Padmanabhan Balasubramanian and
  • Douglas L. Maskell

This article introduces a novel asynchronous full adder that operates in an input–output mode (IOM), displaying both monotonicity and an early output characteristic. In a monotonic asynchronous circuit, the intermediate and primary outputs exhi...

  • Article
  • Open Access
7 Citations
3,477 Views
19 Pages

RETRACTED: Assessment Capacity of the Armeo® Power: Cross-Sectional Study

  • Giovanni Galeoto,
  • Anna Berardi,
  • Massimiliano Mangone,
  • Leonardo Tufo,
  • Martina Silvani,
  • Jerónimo González-Bernal and
  • Jesús Seco-Calvo

The use of robotics in rehabilitating motor functions has increased exponentially in recent decades. One of the most used robotic tools is undoubtedly the Armeo® Power, which has proved to have excellent qualities as a rehabilitation tool. However, n...

  • Article
  • Open Access
11 Citations
4,009 Views
20 Pages

The rise of online social networks has revolutionized the way businesses and consumers interact, creating new opportunities for customer word-of-mouth (WoM) and brand advocacy. Understanding and managing customer advocacy in the online realm has beco...

  • Brief Report
  • Open Access
2,168 Views
9 Pages

The thermal effect and heat dissipation have a significant impact on three-dimensional stacked chips, and the positional layout of the chip’s three-dimensional layout directly affects the internal temperature field. One effective way is to plan...

  • Article
  • Open Access
11 Citations
4,226 Views
19 Pages

A Hypertuned Lightweight and Scalable LSTM Model for Hybrid Network Intrusion Detection

  • Aysha Bibi,
  • Gabriel Avelino Sampedro,
  • Ahmad Almadhor,
  • Abdul Rehman Javed and
  • Tai-hoon Kim

Given the increasing frequency of network attacks, there is an urgent need for more effective network security measures. While traditional approaches such as firewalls and data encryption have been implemented, there is still room for improvement in...

  • Article
  • Open Access
6 Citations
2,590 Views
13 Pages

Using Simple Interactive Technology to Help People with Intellectual and Visual Disabilities Exercise Functional Physical Responses: A Case Series Study

  • Giulio E. Lancioni,
  • Gloria Alberti,
  • Chiara Filippini,
  • Valeria Chiariello,
  • Nirbhay N. Singh,
  • Mark F. O’Reilly and
  • Jeff Sigafoos

The study assessed a new interactive technology system for helping six people with intellectual and visual disabilities exercise relevant physical responses embedded within a fairly straightforward activity (i.e., placing objects in containers). Acti...

  • Article
  • Open Access
4 Citations
2,907 Views
19 Pages

Speaker Profiling Based on the Short-Term Acoustic Features of Vowels

  • Mohammad Ali Humayun,
  • Junaid Shuja and
  • Pg Emeroylariffion Abas

Speech samples can provide valuable information regarding speaker characteristics, including their social backgrounds. Accent variations with speaker backgrounds reflect corresponding acoustic features of speech, and these acoustic variations can be...

  • Article
  • Open Access
5 Citations
2,365 Views
16 Pages

The Influence of Technological Factors and Polar Molecules on the Structure of Fibrillar Matrices Based on Ultrafine Poly-3-hydroxybutyrate Fibers Obtained via Electrospinning

  • Anatoly A. Olkhov,
  • Polina M. Tyubaeva,
  • Yulia N. Zernova,
  • Valery S. Markin,
  • Regina Kosenko,
  • Anna G. Filatova,
  • Kristina G. Gasparyan and
  • Alexey L. Iordanskii

The article examines the regularities of structure formation of ultrafine fibers based on poly-3-hydroxybutyrat under the influence of technological (electrical conductivity, viscosity), molecular (molecular weight), and external factors (low-molecul...

  • Review
  • Open Access
134 Citations
60,653 Views
63 Pages

Connected and Automated Vehicles: Infrastructure, Applications, Security, Critical Challenges, and Future Aspects

  • Memoona Sadaf,
  • Zafar Iqbal,
  • Abdul Rehman Javed,
  • Irum Saba,
  • Moez Krichen,
  • Sajid Majeed and
  • Arooj Raza

Autonomous vehicles (AV) are game-changing innovations that promise a safer, more convenient, and environmentally friendly mode of transportation than traditional vehicles. Therefore, understanding AV technologies and their impact on society is criti...

  • Article
  • Open Access
20 Citations
6,776 Views
22 Pages

An Intelligent System-Based Coffee Plant Leaf Disease Recognition Using Deep Learning Techniques on Rwandan Arabica Dataset

  • Eric Hitimana,
  • Omar Janvier Sinayobye,
  • J. Chrisostome Ufitinema,
  • Jane Mukamugema,
  • Peter Rwibasira,
  • Theoneste Murangira,
  • Emmanuel Masabo,
  • Lucy Cherono Chepkwony,
  • Marie Cynthia Abijuru Kamikazi and
  • Jackson Ngabonziza
  • + 3 authors

Rwandan coffee holds significant importance and immense value within the realm of agriculture, serving as a vital and valuable commodity. Additionally, coffee plays a pivotal role in generating foreign exchange for numerous developing nations. Howeve...

  • Article
  • Open Access
25 Citations
9,445 Views
27 Pages

Efficient Deep Learning-Based Data-Centric Approach for Autism Spectrum Disorder Diagnosis from Facial Images Using Explainable AI

  • Mohammad Shafiul Alam,
  • Muhammad Mahbubur Rashid,
  • Ahmed Rimaz Faizabadi,
  • Hasan Firdaus Mohd Zaki,
  • Tasfiq E. Alam,
  • Md Shahin Ali,
  • Kishor Datta Gupta and
  • Md Manjurul Ahsan

The research describes an effective deep learning-based, data-centric approach for diagnosing autism spectrum disorder from facial images. To classify ASD and non-ASD subjects, this method requires training a convolutional neural network using the fa...

  • Article
  • Open Access
9 Citations
5,554 Views
20 Pages

A Foreign Object Detection Method for Belt Conveyors Based on an Improved YOLOX Model

  • Rongbin Yao,
  • Peng Qi,
  • Dezheng Hua,
  • Xu Zhang,
  • He Lu and
  • Xinhua Liu

As one of the main pieces of equipment in coal transportation, the belt conveyor with its detection system is an important area of research for the development of intelligent mines. Occurrences of non-coal foreign objects making contact with belts ar...

  • Article
  • Open Access
7 Citations
9,559 Views
22 Pages

To gain a deeper understanding of the hotly contested topic of the non-thermal biological effects of microwaves, new metrics and methodologies need to be adopted. The direction proposed in the current work, which includes peak exposure analysis and n...

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Technologies - ISSN 2227-7080