Engineering Proceedings, Volume 112, Issue 1

This article provides an in-depth evaluation of sustainability performance within the mining sector by employing the Fuzzy Analytic Network Process (FANP). The assessment centers on five fundamental dimensions: economic, social, environmental, operat...

Predictive maintenance (PdM) has emerged as a critical enabler for improving reliability, operational efficiency, and regulatory compliance in pharmaceutical manufacturing. Despite its proven effectiveness in several industrial sectors, PdM adoption...

With rapid urbanization and population growth, efficient transportation systems are increasingly crucial, particularly in sectors like healthcare and pharmaceutical logistics, which face unique challenges. In Morocco, there is a lack of studies on ph...

Underwater Wireless Sensor Networks (UWSNs) are widely used technologies in aquatic environments. However, these types of networks face several constraints caused by the mobility of nodes, energy consumption, and constraints due to acoustic communica...

Automation and digitization have gained every aspect of our life. Performance and digital are precepted as twins, and thus process improvement (i.e., performance continuous seek) has fatally met digital. Digital transformation implies a good understa...

Smart cities increasingly rely on intelligent technologies to improve urban infrastructure, sustainability, and quality of life. Traffic flow prediction is essential for the optimization of the transportation system, reducing congestion and improving...

In this age of consumerism, most companies are doing their utmost to convince their customers of their products and to attract new customers. The IT development we see today is a perfect solution for strengthening the relationship between companies a...

This review explores the deployment of Artificial Intelligence (AI) technologies to augment key industry processes in the new paradigm of Industry 5.0. Based on a handpicked collection of 35 peer-reviewed articles and leading resources, the study int...

In the context of Industry 4.0, industrial firms are encountering new challenges related to data management, flow traceability, security and process transparency. Blockchain, as a distributed ledger technology, offers innovative solutions to meet the...

Cybersecurity has evolved significantly over the years, with a growing interest in biologically inspired models that emulate the immune system’s defense mechanisms. This paper provides a comparative analysis of various immunity-based approaches...

Traditional relational databases have been widely used for many years and have been the go-to choice for the industry. However, the emergence of NoSQL databases coincided with the increasing popularity of the Internet, social networks, and cloud comp...

In the context of the Internet of Things (IoT), this article proposes an innovative approach combining ontologies and the Apache Spark MLlib library to design an intelligent system capable of dynamically adapting to its environment. The aim is to mod...

The paper manufacturing industry faces increasing challenges in balancing operational costs with service quality under uncertain market conditions. This research presents a bi-objective credibility-based expected value model for integrated production...

This paper presents an after-sales service optimization problem (ASOP) that integrates technician scheduling with spare parts inventory management, multi-day planning horizons, team coordination requirements, and customer satisfaction modeling. We de...

Since increasing attention has been given to predictive maintenance (PdM) of industrial equipment, in order to enhance operational efficiency, improve reliability, and reduce downtime, this powerful strategy offers significant benefits, holds clearly...

The rapid development of intelligent systems has created a need for techniques capable of handling complexities and developing in an automatic way. The integration of machine learning in model-driven engineering (MDE) offers several advantages for th...

The paper manufacturing industry faces significant challenges in coordinating production and distribution decisions under uncertain market conditions. This research presents an integrated production–distribution planning model for paper manufac...

Oral cancer represents a life-threatening malignancy with profound implications for patient survival and quality of life. Oral squamous cell carcinoma (OSCC), the predominant histological variant of oral cancer, constitutes a substantial healthcare c...

The challenge of accurately identifying the appropriate medical specialty based on patient symptoms leads to delays in diagnosis and treatment. This paper presents an AI model developed to classify medical specialties from symptom descriptions. The m...

Heart murmurs, resulting from turbulent blood flow within the cardiac structure, represent some of the initial acoustic manifestations of potential underlying cardiovascular anomalies, such as arrhythmias. This research presents a deep learning frame...

This study presents a comprehensive overview of recent advancements in fire protection technologies for reinforced concrete (RC) structures, with a focus on sustainable and high-performance solutions. As climate change and urban densification continu...

The transition from Industry 4.0 to Industry 5.0 marks a pivotal shift toward human-centric manufacturing, where advanced technologies are designed to enhance rather than replace human capabilities. Human Factors and Ergonomics (HFE) play a vital rol...

This bibliometric analysis aims to map the evolution, disciplinary structure, and collaboration dynamics of green hydrogen (GH) research in North Africa from 2019 to 2025. Drawing on a corpus of ~39,000 global publications, indexed in Scopus and anal...

Deploying autonomous vehicles in urban mobility systems promises significant improvements in safety, efficiency, and sustainability. On the other hand, running these vehicles in the continuously changing and often uncertain conditions of modern citie...

Today, the right to easy access to medical care for all citizens is one of the universal rights promoted by the WHO to achieve the health goals of sustainable development. Furthermore, an intelligent reevaluation of hospital management is becoming an...

Understanding traffic congestion in urban areas is crucial for ensuring mobility, especially in metropolitan cities of developing countries. This study presents new spatial and temporal data to analyze congestion in Casablanca. Spatial data, collecte...

Accurately predicting survival within patients diagnosed with diffuse glioma remains one of the most difficult issues in neuro-oncology. While most prior research has focused on multimodal fusion or clinical data, we introduce a modality-specific dee...

Increased vulnerabilities brought about by the explosive growth of the Internet of Things (IoT) call for improved security measures to protect systems from attacks. Intrusion Detection Systems (IDS) that use machine learning (ML) are essential for id...

Process mining has become an essential technique for analyzing and optimizing business processes by leveraging digital traces recorded by enterprise systems. However, traditional process mining methods rely heavily on the concept of case identifiers,...

This study applies a model from the normal variance–mean mixture family to capture daily demand in urban bike sharing. We fit both a mixture-based model and a standard Gaussian model to the logarithmic returns of total daily rental counts from...

This paper presents a comparative empirical analysis of three modeling approaches applied to the forecasting of Morocco’s Real Effective Exchange Rate (REER): the ARIMA model, the Random Forest algorithm, and the Dynamic Factor Model (DFM). Uti...

Timely and precise identification of breast cancer is crucial for enhancing clinical outcomes; however, current AI systems frequently exhibit deficiencies in transparency, trustworthiness, and the capacity to assimilate varied data modalities. We int...

Within the rapidly advancing disciplines of natural language processing (NLP) and artificial intelligence (AI), this paper introduces an innovative approach aimed at improving access to health-related information. Fueled by the growing reliance on di...

Flooding in Turkey is intensifying due to both climate change and unregulated development. Despite national frameworks, local-level gaps persist in risk assessment, infrastructure, and adaptation planning. This study evaluates Turkey’s flood vu...

The widespread integration of low-power electronic devices in IoT, biomedical, and sensing applications has intensified the demand for energy-autonomous solutions. Radio Frequency Energy Harvesting (RFEH) offers a promising alternative by leveraging...

We introduce an IoT architecture that addresses critical mobility challenges in Morocco’s urban transportation ecosystem. Using Design Science Research methodology, we developed a complete system integrating smart infrastructure, edge computing...

Assistive technology (AT) is transforming special education by making learning more accessible and inclusive for students with disabilities. By leveraging emerging technologies, AT enhances engagement, personalizes learning experiences, and fosters i...

This paper explores how Smart Urban Governance, Smart Knowledge Management (Smart KM), and participatory digital tools can reshape cultural heritage rehabilitation in Morocco. Using a qualitative, multi-method approach including comparative case stud...

Traditional deep learning methods for histopathological analysis suffer from a lack of interpretability, which limits their use in the clinic despite their high accuracy. This paper proposes a Topological Data Analysis (TDA) framework for interpretab...

In emergency situations, rapid action is critical to save lives, yet humanitarian logistics often grapple with challenges like information dispersion, tight deadlines, and strict privacy regulations. This research introduces FL-DT-HSC, a novel approa...

The integration of smart medical devices (SMDs) driven by artificial intelligence (AI) and the internet of medical things (IoMT) is revolutionizing healthcare through improved diagnostics and continuous monitoring. However, their deployment raises si...

With the rapid growth of LLM-based chatbots and their applications in fields such as health, education, and entertainment, there is a growing interest in developing systems capable of mimicking human behavior through conversation and natural language...

Precise stock price forecasting is essential for informed decision-making in financial markets. This study examines the combination of large language models (LLMs) with data augmentation approaches, utilizing improvements in cognitive computing to en...

Currently, the need to repair and strengthen structures is very important. The reinforcement of structures aims to repair or bring existing structures into conformity, either for reasons of loss of initial properties or for reasons of refurbishment l...

This exploratory study examines how 67 healthcare professionals across Morocco perceive the value generated by the use of IT in healthcare organizations through semi-structured interviews. The results reveal that most of these professionals perceive...

From hieroglyphic writing in ancient Egypt to the post-quantum edge, cryptology is usually seen as an immortal concept that evolves within the enhancement of human civilization. However, modern cryptography primitives try to make revealing ciphered i...

The review “Symbolic Approaches for Explainable Artificial Intelligence” discusses the potential of symbolic AI to improve transparency, contrasting it with opaque deep learning systems. Though connectionist models perform well, their poo...

Interest in research on FDM systems using inexpensive materials like PLA and ABS is constantly increasing. In this regard, the scope of this study is narrowed to exclusively focus on PLA. To improve the surface finish of PLA printed products, it is i...

In the retail industry, demand forecasting is absolutely crucial for guaranteeing efficient inventory and supply chain control. Different artificial intelligence (AI) techniques have been used lately to improve forecasting performance. Demand fluctua...

Generative artificial intelligence (AI) has greatly advanced the code translation process, particularly through large language models (LLMs), which translate source code from one programming language into another. This translation has historically be...