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  • Review
  • Open Access
37 Citations
37,564 Views
24 Pages

26 September 2024

This paper presents a comprehensive review of machine learning (ML) and deep learning (DL) models used for demand forecasting in supply chain management. By analyzing 119 papers from the Scopus database covering the period from 2015 to 2024, this stu...

  • Article
  • Open Access
27 Citations
34,372 Views
19 Pages

14 November 2023

This study employs a simulation-based approach, adapting the waterfall model, to provide estimates for software project and individual phase completion times. Additionally, it pinpoints potential efficiency issues stemming from suboptimal resource le...

  • Article
  • Open Access
34 Citations
33,767 Views
25 Pages

The healthcare industry has recently faced the issues of enhancing patient care, streamlining healthcare operations, and offering high-quality services at reasonable costs. These crucial issues include general healthcare administration, resource allo...

  • Article
  • Open Access
19 Citations
32,205 Views
46 Pages

In the ever-evolving landscape of healthcare, the implementation of a robust medical information system stands as a transformative endeavor. This article serves as a comprehensive guide, delineating the intricate steps involved in deploying an effect...

  • Article
  • Open Access
37 Citations
27,617 Views
21 Pages

Stock Market Prediction Using Deep Reinforcement Learning

  • Alamir Labib Awad,
  • Saleh Mesbah Elkaffas and
  • Mohammed Waleed Fakhr

10 November 2023

Stock value prediction and trading, a captivating and complex research domain, continues to draw heightened attention. Ensuring profitable returns in stock market investments demands precise and timely decision-making. The evolution of technology has...

  • Review
  • Open Access
52 Citations
27,084 Views
38 Pages

Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers

  • Nils Hütten,
  • Miguel Alves Gomes,
  • Florian Hölken,
  • Karlo Andricevic,
  • Richard Meyes and
  • Tobias Meisen

Quality assessment in industrial applications is often carried out through visual inspection, usually performed or supported by human domain experts. However, the manual visual inspection of processes and products is error-prone and expensive. It is...

  • Review
  • Open Access
61 Citations
21,673 Views
30 Pages

This narrative review synthesizes and analyzes empirical studies on the adoption and acceptance of ChatGPT in higher education, addressing the need to understand the key factors influencing its use by students and educators. Anchored in theoretical f...

  • Article
  • Open Access
36 Citations
19,556 Views
31 Pages

In an era defined by technological disruption, the integration of artificial intelligence (AI) into business processes is both strategic and challenging. As AI continues to disrupt and reshape industries and revolutionize business processes, organiza...

  • Article
  • Open Access
10 Citations
17,960 Views
22 Pages

Secure Voting Website Using Ethereum and Smart Contracts

  • Abhay Singh,
  • Ankush Ganesh,
  • Rutuja Rajendra Patil,
  • Sumit Kumar,
  • Ruchi Rani and
  • Sanjeev Kumar Pippal

Voting is a democratic process that allows individuals to choose their leaders and voice their opinions. However, the current situation with physical voting involves long queues, paper-based ballots, and security challenges. Blockchain-based voting m...

  • Article
  • Open Access
13 Citations
17,934 Views
18 Pages

Intelligent Medical Velostat Pressure Sensor Mat Based on Artificial Neural Network and Arduino Embedded System

  • Marek Kciuk,
  • Zygmunt Kowalik,
  • Grazia Lo Sciuto,
  • Sebastian Sławski and
  • Stefano Mastrostefano

26 September 2023

The promising research on flexible and tactile sensors requires conducting polymer materials and an accurate system for the transduction of pressure into electrical signals. In this paper, the intelligent sensitive mat, based on Velostat, which is a...

  • Article
  • Open Access
62 Citations
17,738 Views
18 Pages

The field of health and medical sciences has witnessed a surge of published research exploring the applications of ChatGPT. However, there remains a dearth of knowledge regarding its specific potential and limitations within the domain of nutrition....

  • Review
  • Open Access
45 Citations
17,680 Views
20 Pages

Advances and Challenges in IoT-Based Smart Drug Delivery Systems: A Comprehensive Review

  • Amisha S. Raikar,
  • Pramod Kumar,
  • Gokuldas (Vedant) S. Raikar and
  • Sandesh N. Somnache

In the current era of technology, the internet of things (IoT) plays a vital role in smart drug delivery systems. It is an emerging field that offers promising solutions for improving the efficacy, safety, and patient compliance of drug therapies. Io...

  • Article
  • Open Access
27 Citations
16,895 Views
21 Pages

Smart Diet Diary: Real-Time Mobile Application for Food Recognition

  • Muhammad Nadeem,
  • Henry Shen,
  • Lincoln Choy and
  • Julien Moussa H. Barakat

Growing obesity has been a worldwide issue for several decades. This is the outcome of common nutritional disorders which results in obese individuals who are prone to many diseases. Managing diet while simultaneously dealing with the obligations of...

  • Article
  • Open Access
22 Citations
16,503 Views
14 Pages

AI-Powered Academic Guidance and Counseling System Based on Student Profile and Interests

  • Hajar Majjate,
  • Youssra Bellarhmouch,
  • Adil Jeghal,
  • Ali Yahyaouy,
  • Hamid Tairi and
  • Khalid Alaoui Zidani

Over the past few decades, the education sector has achieved impressive advancements by incorporating Artificial Intelligence (AI) into the educational environment. Nevertheless, specific educational processes, particularly educational counseling, st...

  • Article
  • Open Access
29 Citations
15,565 Views
26 Pages

Use of Digital Technology in Integrated Mathematics Education

  • Andrada-Livia Cirneanu and
  • Cristian-Emil Moldoveanu

Digital learning environments create a dynamic and engaging learning and teaching context that promotes a deeper understanding of complex concepts, eases the teaching process and fosters a passion for learning. Moreover, integrating interactive mater...

  • Article
  • Open Access
10 Citations
14,929 Views
21 Pages

19 November 2024

Interoperability has become crucial in the world of electronic health records, allowing for seamless data exchange and integration across diverse settings. It facilitates the integration of disparate systems, ensures that patient records are accessib...

  • Article
  • Open Access
15 Citations
14,695 Views
42 Pages

Mechatronics: A Study on Its Scientific Constitution and Association with Innovative Products

  • Ana Carolina Cintra Faria and
  • Sanderson César Macêdo Barbalho

Mechatronics as a science is a synergic combination of mechanical engineering, electronic control, and software design in product development and manufacturing processes. To understand how the field of knowledge that incorporates mechatronics in inno...

  • Review
  • Open Access
9 Citations
14,213 Views
14 Pages

Robotics Applications in the Hospital Domain: A Literature Review

  • Elijah M. G. N. Vera Cruz,
  • Sancho Oliveira and
  • Américo Correia

12 December 2024

Robotic systems are increasingly being used in healthcare. These systems improve patient care both by freeing healthcare professionals from repetitive tasks and by assisting them with complex procedures. This analysis examines the development and imp...

  • Article
  • Open Access
42 Citations
14,002 Views
24 Pages

29 September 2023

The utilization of data mining techniques for the prompt prediction of academic success has gained significant importance in the current era. There is an increasing interest in utilizing these methodologies to forecast the academic performance of stu...

  • Article
  • Open Access
87 Citations
12,989 Views
26 Pages

A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome

  • Varada Vivek Khanna,
  • Krishnaraj Chadaga,
  • Niranajana Sampathila,
  • Srikanth Prabhu,
  • Venkatesh Bhandage and
  • Govardhan K. Hegde

Polycystic Ovary Syndrome (PCOS) is a complex disorder predominantly defined by biochemical hyperandrogenism, oligomenorrhea, anovulation, and in some cases, the presence of ovarian microcysts. This endocrinopathy inhibits ovarian follicle developmen...

  • Article
  • Open Access
20 Citations
12,944 Views
17 Pages

Industry 4.0 and Smart Systems in Manufacturing: Guidelines for the Implementation of a Smart Statistical Process Control

  • Lucas Schmidt Goecks,
  • Anderson Felipe Habekost,
  • Antonio Maria Coruzzolo and
  • Miguel Afonso Sellitto

Digital transformations in manufacturing systems confer advantages for enhancing competitiveness and ensuring the survival of companies by reducing operating costs, improving quality, and fostering innovation, falling within the overarching umbrella...

  • Review
  • Open Access
17 Citations
12,688 Views
28 Pages

AI-Enabled Electrocardiogram Analysis for Disease Diagnosis

  • Mohammad Mahbubur Rahman Khan Mamun and
  • Tarek Elfouly

Contemporary methods used to interpret the electrocardiogram (ECG) signal for diagnosis or monitoring are based on expert knowledge and rule-centered algorithms. In recent years, with the advancement of artificial intelligence, more and more research...

  • Article
  • Open Access
20 Citations
11,651 Views
13 Pages

Evaluation Metrics Research for Explainable Artificial Intelligence Global Methods Using Synthetic Data

  • Alexandr Oblizanov,
  • Natalya Shevskaya,
  • Anatoliy Kazak,
  • Marina Rudenko and
  • Anna Dorofeeva

In recent years, artificial intelligence technologies have been developing more and more rapidly, and a lot of research is aimed at solving the problem of explainable artificial intelligence. Various XAI methods are being developed to allow the user...

  • Review
  • Open Access
18 Citations
11,576 Views
49 Pages

Innovating Patent Retrieval: A Comprehensive Review of Techniques, Trends, and Challenges in Prior Art Searches

  • Amna Ali,
  • Ali Tufail,
  • Liyanage Chandratilak De Silva and
  • Pg Emeroylariffion Abas

26 September 2024

As the patent landscape continues to grow, so does the complexity of retrieving relevant “prior art”, “background art”, or “state of the art” from an expanding pool of publicly available patent data, a critical ste...

  • Article
  • Open Access
44 Citations
11,374 Views
16 Pages

Industrial control systems (ICSs) play a crucial role in managing and monitoring critical processes across various industries, such as manufacturing, energy, and water treatment. The connection of equipment from various manufacturers, complex communi...

  • Article
  • Open Access
22 Citations
11,256 Views
18 Pages

Gesture-to-Text Translation Using SURF for Indian Sign Language

  • Kaustubh Mani Tripathi,
  • Pooja Kamat,
  • Shruti Patil,
  • Ruchi Jayaswal,
  • Swati Ahirrao and
  • Ketan Kotecha

This research paper focuses on developing an effective gesture-to-text translation system using state-of-the-art computer vision techniques. The existing research on sign language translation has yet to utilize skin masking, edge detection, and featu...

  • Review
  • Open Access
4 Citations
11,018 Views
27 Pages

A Systematic Review of Responsible Artificial Intelligence Principles and Practice

  • Lakshitha Gunasekara,
  • Nicole El-Haber,
  • Swati Nagpal,
  • Harsha Moraliyage,
  • Zafar Issadeen,
  • Milos Manic and
  • Daswin De Silva

The accelerated development of Artificial Intelligence (AI) capabilities and systems is driving a paradigm shift in productivity, innovation and growth. Despite this generational opportunity, AI is fraught with significant challenges and risks. To ad...

  • Article
  • Open Access
13 Citations
10,519 Views
18 Pages

Reducing CO2 emissions is currently a key policy in most developed countries. In this article, we evaluate whether smart traffic lights can have a relevant role in reducing CO2 emissions in small cities, considering their specific traffic profiles. T...

  • Article
  • Open Access
16 Citations
10,091 Views
32 Pages

Researchers conduct experiments to discover factors influencing the experimental subjects, so the experimental design is essential. The response surface methodology (RSM) is a special experimental design used to evaluate factors significantly affecti...

  • Review
  • Open Access
36 Citations
9,978 Views
22 Pages

A Review on Recent Trends and Applications of IoT in Additive Manufacturing

  • Bharat Kumar Chigilipalli,
  • Teja Karri,
  • Sathish Naidu Chetti,
  • Girish Bhiogade,
  • Ravi Kumar Kottala and
  • Muralimohan Cheepu

The Internet of Things (IoT) is a new way of communicating that is changing the way things are monitored and controlled from a distance. Gradually, companies want to digitalize their production processes and implement control and monitoring systems o...

  • Article
  • Open Access
19 Citations
9,293 Views
18 Pages

Learning at Your Fingertips: An Innovative IoT-Based AI-Powered Braille Learning System

  • Ghazanfar Latif,
  • Ghassen Ben Brahim,
  • Sherif E. Abdelhamid,
  • Runna Alghazo,
  • Ghadah Alhabib and
  • Khalid Alnujaidi

Visual impairment should not hinder an individual from achieving their aspirations, nor should it be a hindrance to their contributions to society. The age in which persons with disabilities were treated unfairly is long gone, and individuals with di...

  • Review
  • Open Access
10 Citations
8,934 Views
57 Pages

Recent Trends of Authentication Methods in Extended Reality: A Survey

  • Louisa Hallal,
  • Jason Rhinelander and
  • Ramesh Venkat

Extended Reality (XR) is increasingly gaining momentum in industries such as retail, health, and education. To protect users’ personal data, establishing a secure authentication system for XR devices becomes essential. Recently, the focus on au...

  • Article
  • Open Access
11 Citations
8,843 Views
11 Pages

AI Asthma Guard: Predictive Wearable Technology for Asthma Management in Vulnerable Populations

  • Hajar Almuhanna,
  • Manayer Alenezi,
  • Mariam Abualhasan,
  • Shouq Alajmi,
  • Raghad Alfadhli and
  • Abdullah S. Karar

This paper presents AI Asthma Guard, a novel wearable device designed to predict and alert users of impending asthma attacks using artificial intelligence. The system integrates physiological and environmental sensors to monitor health metrics such a...

  • Article
  • Open Access
2 Citations
8,832 Views
35 Pages

Data-driven organizations aim to control business decisions based on data. However, despite significant investments in digitalization, studies show that many organizations continue to face challenges in fully realizing the benefits of data. Existing...

  • Review
  • Open Access
53 Citations
8,650 Views
14 Pages

Bibliometric Trends in Industry 5.0 Research: An Updated Overview

  • Dag Øivind Madsen,
  • Terje Berg and
  • Mario Di Nardo

The emergence of Industry 5.0 took place in the mid-2010s, presenting a novel vision for the future of an industry that places emphasis on human involvement in the production process. Following the outbreak of the COVID-19 pandemic, there has been a...

  • Systematic Review
  • Open Access
7 Citations
8,545 Views
18 Pages

This paper conducts a systematic literature review to explore the dynamic interplay among ergonomics, design thinking, and artificial intelligence (AI) or machine learning (ML). In a rapidly evolving world, the convergence of ergonomics and design In...

  • Article
  • Open Access
8 Citations
8,326 Views
27 Pages

Raw Material Flow Rate Measurement on Belt Conveyor System Using Visual Data

  • Muhammad Sabih,
  • Muhammad Shahid Farid,
  • Mahnoor Ejaz,
  • Muhammad Husam,
  • Muhammad Hassan Khan and
  • Umar Farooq

30 September 2023

Industries are rapidly moving toward mitigating errors and manual interventions by automating their process. The same motivation is carried out in this research which targets to study a conveyor system installed in soda ash manufacturing plants. Our...

  • Article
  • Open Access
27 Citations
8,205 Views
20 Pages

Personalized E-Learning Recommender System Based on Autoencoders

  • Lamyae El Youbi El Idrissi,
  • Ismail Akharraz and
  • Abdelaziz Ahaitouf

Through the Internet, learners can access available information on e-learning platforms to facilitate their studies or to acquire new skills. However, finding the right information for their specific needs among the numerous available choices is a te...

  • Review
  • Open Access
5 Citations
8,031 Views
22 Pages

Pixel Circuit Designs for Active Matrix Displays

  • Dan-Mei Wei,
  • Hua Zheng,
  • Chun-Hua Tan,
  • Shenghao Zhang,
  • Hua-Dan Li,
  • Lv Zhou,
  • Yuanrui Chen,
  • Chenchen Wei,
  • Miao Xu and
  • Baohua Jia
  • + 3 authors

Pixel circuits are key components of flat panel displays, including liquid crystal displays (LCDs), organic light-emitting diode displays (OLEDs), and micro light-emitting diode displays (micro-LEDs). Depending on the active layer material of the thi...

  • Article
  • Open Access
15 Citations
7,811 Views
12 Pages

Experimental Evaluation of an IoT-Based Platform for Maritime Transport Services

  • Sandro Noto,
  • Molka Gharbaoui,
  • Mariano Falcitelli,
  • Barbara Martini,
  • Piero Castoldi and
  • Paolo Pagano

In recent years, the adoption of innovative technologies in maritime transport and logistics systems has become a key aspect towards their development and growth, especially due to the complex and heterogeneous nature of the maritime environment. On...

  • Article
  • Open Access
2 Citations
7,717 Views
27 Pages

Smart Hydroponic Cultivation System for Lettuce (Lactuca sativa L.) Growth Under Different Nutrient Solution Concentrations in a Controlled Environment

  • Raul Herrera-Arroyo,
  • Juan Martínez-Nolasco,
  • Enrique Botello-Álvarez,
  • Víctor Sámano-Ortega,
  • Coral Martínez-Nolasco and
  • Cristal Moreno-Aguilera

The inclusion of the Internet of Things (IoT) in indoor agricultural systems has become a fundamental tool for improving cultivation systems by providing key information for decision-making in pursuit of better performance. This article presents the...

  • Article
  • Open Access
11 Citations
7,552 Views
27 Pages

Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model

  • Diana Bratić,
  • Marko Šapina,
  • Denis Jurečić and
  • Jana Žiljak Gršić

This paper addresses the challenges associated with the centralized storage of educational materials in the context of a fragmented and disparate database. In response to the increasing demands of modern education, efficient and accessible retrieval...

  • Article
  • Open Access
2 Citations
7,444 Views
18 Pages

18 December 2024

In this study, we aimed to enhance the accuracy of product quality inspection and counting in the manufacturing process by integrating image processing and human body detection algorithms. We employed the SIFT algorithm combined with traditional imag...

  • Article
  • Open Access
4 Citations
7,302 Views
17 Pages

Explainable Artificial Intelligence with Integrated Gradients for the Detection of Adversarial Attacks on Text Classifiers

  • Harsha Moraliyage,
  • Geemini Kulawardana,
  • Daswin De Silva,
  • Zafar Issadeen,
  • Milos Manic and
  • Seiichiro Katsura

Text classifiers are Artificial Intelligence (AI) models used to classify new documents or text vectors into predefined classes. They are typically built using supervised learning algorithms and labelled datasets. Text classifiers produce a predefine...

  • Review
  • Open Access
1 Citations
7,287 Views
25 Pages

Total Productive Maintenance and Industry 4.0: A Literature-Based Path Toward a Proposed Standardized Framework

  • Zineb Mouhib,
  • Maryam Gallab,
  • Safae Merzouk,
  • Aziz Soulhi and
  • Mario Di Nardo

In the context of Industry 4.0, Total Productive Maintenance (TPM) is undergoing a major shift driven by digital technologies such as the IoT, AI, cloud computing, and Cyber–Physical systems. This study explores how these technologies reshape t...

  • Article
  • Open Access
5 Citations
7,239 Views
32 Pages

This research utilizes machine learning (ML), and especially deep learning (DL), techniques for efficient feature extraction of intrusion attacks. We use DL to provide better learning and utilize machine learning multilayer perceptron (MLP) as an int...

  • Systematic Review
  • Open Access
9 Citations
7,209 Views
28 Pages

eXplainable Artificial Intelligence in Process Engineering: Promises, Facts, and Current Limitations

  • Luigi Piero Di Bonito,
  • Lelio Campanile,
  • Francesco Di Natale,
  • Michele Mastroianni and
  • Mauro Iacono

30 November 2024

Artificial Intelligence (AI) has been swiftly incorporated into the industry to become a part of both customer services and manufacturing operations. To effectively address the ethical issues now being examined by the government, AI models must be ex...

  • Article
  • Open Access
4 Citations
7,190 Views
20 Pages

Operation of Electronic Devices for Controlling Led Light Sources When the Environment Temperature Changes

  • Iryna Belyakova,
  • Vadim Piscio,
  • Pavlo Maruschak,
  • Oleksandr Shovkun,
  • Volodymyr Medvid and
  • Mariya Markovych

Ambient temperature significantly affects the electrical and light parameters of LEDs, such as forward and reverse current, voltage drop LEDs and luminous flux. With an increase in temperature, the decrease in the intensity of LED radiation is explai...

  • Review
  • Open Access
7 Citations
7,179 Views
28 Pages

A Global Overview of SVA—Spatial–Visual Ability

  • Shweta Tiwari,
  • Bhavesh Shah and
  • Arunachalam Muthiah

This study examines the global literature that looks at spatial–visual abilities (SVA) while considering the numerous differential studies, methods of evaluation designed over a century, and multiple external influences on its development. The...

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Appl. Syst. Innov. - ISSN 2571-5577