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Technologies, Volume 12, Issue 7

2024 July - 25 articles

Cover Story: This study presents a smartphone-based citizen science tool leveraging AI and Deep Learning (DL) algorithms for the real-time detection of plant diseases and insect pests. The mobile application, available for Apple® and Android™, empowers farmers and agronomists with accurate diagnostics and actionable insights, enhancing crop management practices. Field-tested in real agricultural settings, the app achieved up to 87% confidence in detecting Tuta absoluta infestations. It integrates geospatial data for precise location tracking and supports continuous improvement by incorporating new data and AI models. This innovative tool aligns with sustainable agriculture goals, promoting proactive pest management and reduced reliance on chemical treatments, supporting broader initiatives like the Green Deal and the EU’s biodiversity strategy for 2030. View this paper
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Articles (25)

  • Review
  • Open Access
12 Citations
4,961 Views
29 Pages

Nano-Level Additive Manufacturing: Condensed Review of Processes, Materials, and Industrial Applications

  • Ismail Fidan,
  • Mohammad Alshaikh Ali,
  • Vivekanand Naikwadi,
  • Shamil Gudavasov,
  • Mushfig Mahmudov,
  • Mahdi Mohammadizadeh,
  • Zhicheng Zhang and
  • Ankit Sharma

Additive manufacturing, commonly known as 3D printing, represents the forefront of modern manufacturing technology. Its growing popularity spans across research and development, material science, design, processes, and everyday applications. This rev...

  • Article
  • Open Access
2 Citations
3,723 Views
17 Pages

Development of a New Prototype Paediatric Central Sleep Apnoea Monitor

  • Reza Saatchi,
  • Heather Elphick,
  • Jennifer Rowson,
  • Mark Wesseler,
  • Jacob Marris,
  • Sarah Shortland and
  • Lowri Thomas

A new prototype device to monitor breathing in children diagnosed with central sleep apnoea (CSA) was developed. CSA is caused by the failure of central nervous system signals to the respiratory muscles and results in intermittent breathing pauses du...

  • Article
  • Open Access
2,729 Views
15 Pages

We have developed a dissolved oxygen (DO) method with differential equation (DE) correction. We measured the oxygen content in La-based and Y-based superconductors, and succeeded in measuring the oxygen content simply in one-third of the time require...

  • Article
  • Open Access
3,418 Views
20 Pages

Three-dimensional printing is an emerging service delivery method for on-demand access to customized assistive technology devices. However, barriers exist in locating and designing appropriate models and having the devices printed. The purpose of thi...

  • Article
  • Open Access
26 Citations
8,037 Views
23 Pages

The paper addresses the issue of classification machine learning algorithm performance based on a novel probabilistic confusion matrix concept. The paper develops a theoretical framework which associates the proposed confusion matrix and the resultin...

  • Article
  • Open Access
13 Citations
2,875 Views
16 Pages

Improvement of the ANN-Based Prediction Technology for Extremely Small Biomedical Data Analysis

  • Ivan Izonin,
  • Roman Tkachenko,
  • Oleh Berezsky,
  • Iurii Krak,
  • Michal Kováč and
  • Maksym Fedorchuk

Today, the field of biomedical engineering spans numerous areas of scientific research that grapple with the challenges of intelligent analysis of small datasets. Analyzing such datasets with existing artificial intelligence tools is a complex task,...

  • Article
  • Open Access
6 Citations
5,185 Views
17 Pages

Optimizing Speech Emotion Recognition with Machine Learning Based Advanced Audio Cue Analysis

  • Nuwan Pallewela,
  • Damminda Alahakoon,
  • Achini Adikari,
  • John E. Pierce and
  • Miranda L. Rose

In today’s fast-paced and interconnected world, where human–computer interaction is an integral component of daily life, the ability to recognize and understand human emotions has emerged as a crucial facet of technological advancement. H...

  • Article
  • Open Access
10 Citations
10,019 Views
19 Pages

Securing Blockchain-Based Supply Chain Management: Textual Data Encryption and Access Control

  • Imran Khan,
  • Qazi Ejaz Ali,
  • Hassan Jalil Hadi,
  • Naveed Ahmad,
  • Gauhar Ali,
  • Yue Cao and
  • Mohammed Ali Alshara

A supply chain (SC) encompasses a network of businesses, individuals, events, data, and resources orchestrating the movement of goods or services from suppliers to customers. Leveraging a blockchain-based platform, smart contracts play a pivotal role...

  • Technical Note
  • Open Access
3,440 Views
23 Pages

HUB3D: Intelligent Manufacturing HUB System

  • Antonio Trejo-Morales,
  • Edgar Adrián Franco-Urquiza,
  • Hansell David Devilet-Castellanos and
  • Dario Bringas-Posadas

HUB3D represents a cutting-edge solution for managing and operating a 3D printer farm through the integration of advanced hardware and software. It features intuitive, responsive interfaces that support seamless interaction across various devices. Le...

  • Article
  • Open Access
1 Citations
3,530 Views
12 Pages

The Measurement of Contrast Sensitivity in Near Vision: The Use of a Digital System vs. a Conventional Printed Test

  • Kevin J. Mena-Guevara,
  • David P. Piñero,
  • María José Luque and
  • Dolores de Fez

In recent years, there has been intense development of digital diagnostic tests for vision. All of these tests must be validated for clinical use. The current study enrolled 51 healthy individuals (age 19–72 years) in which achromatic contrast...

  • Article
  • Open Access
1 Citations
2,753 Views
19 Pages

Numerical Simulation and Design of a Mechanical Structure of an Ankle Exoskeleton for Elderly People

  • Ammir Rojas,
  • Julio Ronceros,
  • Carlos Raymundo,
  • Gianpierre Zapata,
  • Leonardo Vinces and
  • Gustavo Ronceros

This article presents the numerical simulation and design of an ankle exoskeleton oriented to elderly users. For the design, anatomical measurements were taken from a user of this age group to obtain an ergonomic, resistant, and exceptionally reliabl...

  • Article
  • Open Access
15 Citations
4,204 Views
19 Pages

Analysis and Development of an IoT System for an Agrivoltaics Plant

  • Francesco Zito,
  • Nicola Ivan Giannoccaro,
  • Roberto Serio and
  • Sergio Strazzella

This article illustrates the development of SolarFertigation (SF), an IoT (Internet of Things) solution for precision agriculture. Contrary to similar systems on the market, SolarFertigation can monitor and optimize fertigation autonomously, based on...

  • Article
  • Open Access
1 Citations
2,963 Views
18 Pages

Nowadays, one of the greatest challenges in data meshes revolves around detecting and creating data domains and data products for providing the ability to adapt easily and quickly to changing business needs. This requires a disciplined approach to id...

  • Article
  • Open Access
6 Citations
2,374 Views
20 Pages

This study utilizes waste Albizia lebbeck wood from a sawmill to prepare activated carbon adsorbents and explores their potential application in adsorption cooling systems with a novel hydrofluoroolefin (HFO) refrigerant characterized by a low global...

  • Article
  • Open Access
9 Citations
2,044 Views
14 Pages

Defining a Metric-Driven Approach for Learning Hazardous Situations

  • Mario Fiorino,
  • Muddasar Naeem,
  • Mario Ciampi and
  • Antonio Coronato

Artificial intelligence has brought many innovations to our lives. At the same time, it is worth designing robust safety machine learning (ML) algorithms to obtain more benefits from technology. Reinforcement learning (RL) being an important ML metho...

  • Article
  • Open Access
4 Citations
2,345 Views
10 Pages

Technique of High-Field Electron Injection for Wafer-Level Testing of Gate Dielectrics of MIS Devices

  • Dmitrii V. Andreev,
  • Vladimir V. Andreev,
  • Marina Konuhova and
  • Anatoli I. Popov

We propose a technique for the wafer-level testing of the gate dielectrics of metal–insulator–semiconductor (MIS) devices by the high-field injection of electrons into the dielectric using a mode of increasing injection current density up...

  • Review
  • Open Access
31 Citations
12,333 Views
31 Pages

Fatigue refers to the progressive and localized structural damage that occurs when a material is subjected to repeated loading and unloading, typically at levels below its ultimate strength. Several failure mechanisms have been observed in practical...

  • Article
  • Open Access
24 Citations
13,262 Views
21 Pages

Smartphone-Based Citizen Science Tool for Plant Disease and Insect Pest Detection Using Artificial Intelligence

  • Panagiotis Christakakis,
  • Garyfallia Papadopoulou,
  • Georgios Mikos,
  • Nikolaos Kalogiannidis,
  • Dimosthenis Ioannidis,
  • Dimitrios Tzovaras and
  • Eleftheria Maria Pechlivani

In recent years, the integration of smartphone technology with novel sensing technologies, Artificial Intelligence (AI), and Deep Learning (DL) algorithms has revolutionized crop pest and disease surveillance. Efficient and accurate diagnosis is cruc...

  • Review
  • Open Access
18 Citations
8,492 Views
41 Pages

Analysis of the Use of Artificial Intelligence in Software-Defined Intelligent Networks: A Survey

  • Bayron Jesit Ospina Cifuentes,
  • Álvaro Suárez,
  • Vanessa García Pineda,
  • Ricardo Alvarado Jaimes,
  • Alber Oswaldo Montoya Benitez and
  • Juan David Grajales Bustamante

The distributed structure of traditional networks often fails to promptly and accurately provide the computational power required for artificial intelligence (AI), hindering its practical application and implementation. Consequently, this research ai...

  • Article
  • Open Access
3 Citations
3,819 Views
24 Pages

Reliable and cost-efficient license plate recognition (LPR) systems enhance security, traffic management, and automated toll collection in real-world applications. This study addresses optimal unique configurations for enhancing LPR system accuracy a...

  • Article
  • Open Access
13 Citations
24,348 Views
19 Pages

Tongue Disease Prediction Based on Machine Learning Algorithms

  • Ali Raad Hassoon,
  • Ali Al-Naji,
  • Ghaidaa A. Khalid and
  • Javaan Chahl

The diagnosis of tongue disease is based on the observation of various tongue characteristics, including color, shape, texture, and moisture, which indicate the patient’s health status. Tongue color is one such characteristic that plays a vital...

  • Article
  • Open Access
5 Citations
2,442 Views
23 Pages

Deep Learning for Skeleton-Based Human Activity Segmentation: An Autoencoder Approach

  • Md Amran Hossen,
  • Abdul Ghani Naim and
  • Pg Emeroylariffion Abas

Automatic segmentation is essential for enhancing human activity recognition, especially given the limitations of publicly available datasets that often lack diversity in daily activities. This study introduces a novel segmentation method that utiliz...

  • Review
  • Open Access
20 Citations
8,605 Views
20 Pages

Artificial intelligence (AI) is rapidly advancing, aiming to mimic human cognitive abilities, and is addressing complex medical challenges in the field of biological science. Over the past decade, AI has experienced exponential growth and proven its...

  • Article
  • Open Access
6 Citations
3,117 Views
19 Pages

Modern agriculture faces the dual challenge of ensuring sustainability while meeting the growing global demand for food. Smart agriculture, which uses data from the environment and plants to deliver water exactly when and how it is needed, has attrac...

  • Feature Paper
  • Article
  • Open Access
3 Citations
3,076 Views
16 Pages

Multi-Objective Optimisation of the Battery Box in a Racing Car

  • Chao Ma,
  • Caiqi Xu,
  • Mohammad Souri,
  • Elham Hosseinzadeh and
  • Masoud Jabbari

The optimisation of electric vehicle battery boxes while preserving their structural performance presents a formidable challenge. Many studies typically involve fewer than 10 design variables in their optimisation processes, a deviation from the real...

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Technologies - ISSN 2227-7080