A. Jilbab

Mohammed V University in Rabat

The acoustic comfort and environmental concerns in the building sector are two interconnected and crucial aspects for the sustainable development of the construction industry. This study investigates the acoustic absorption properties of plasterboards reinforced with woven fabric made from Moroccan sisal fiber. Three different weave designs, Basket...

Cardiovascular disease such as ischemic heart disease and stroke are the most dangerous diseases in the WHO stats. Myocardial Infarction (MI), an ischemic disease of the heart, occurs due to a sudden blockage in the coronary arteries that supply blood to the heart causing a lack of oxygen and nutrients. The MI patient needs continuous monitoring us...

Real-time monitoring of crop growth has become indispensable in modern agriculture, facilitating prompt detection of crop stress, diseases, and nutrient deficiencies by farmers. This study investigates the feasibility of leveraging unmanned aerial vehicles (UAVs) and deep learning algorithms for the real-time monitoring of Vicia faba L. crop growth...

Plant cultivation is studied, practiced, and regulated in the field of agriculture, which has a millennium-long history. Its origins are varied, having arisen independently in different parts of the world under the impact of topography and climate. Unlike traditional foraging and gathering, agriculture has shown to be able to significantly increase...

Due to its important role in smart grids, power system management, and smart buildings, energy consumption forecasting has gained a lot of interest in recent years, further achieving energy efficiency objectives, decreasing CO2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepack...

A significant concern is the economic impact of agricultural diseases on the world’s crop production. The disease significantly reduces agricultural production across the world. Loss of nutrients caused by parasite infection of leaves, pods, and roots–the pathogenic agent that causes fava bean rust disease–decreases crop health. This work addresses...

Integrating artificial intelligence (AI) with drones has emerged as a promising paradigm for advancing agriculture. This bibliometric analysis investigates the current state of research in this transformative domain by comprehensively reviewing 234 pertinent articles from Scopus and Web of Science databases. The problem involves harnessing AI-drive...

Alzheimer’s disease (AD) is a neurodegenerative disease that is well-known for causing continuous loss of memory, cognition, and other higher brain functions. AD is not a single disease, but rather a group of related diseases with similar characteristics. The use of deep neural network-based pattern classification techniques, such as convolutional...

Artificial intelligence (AI) has emerged as a powerful tool in medical image analysis, revolutionizing the field of radiology and improving diagnostic accuracy and efficiency. Among various imaging modalities, ultrasound imaging is crucial in diagnosing a wide range of medical conditions due to its non-invasive nature and real-time imaging capabili...

This study presents a markerless video-based human gait analysis system for automatic assessment of at-home rehabilitation. A marker-based MoCap system (Vicon) is used to evaluate the accuracy of the proposed approach. Additionally, a novel gait rehabilitation score based on the Dynamic Time Warping (DTW) algorithm is introduced, enabling quantific...

Transfer Learning (TL) is a popular deep learning technique used in medical image analysis, especially when data is limited. It leverages pre-trained knowledge from State-Of-The-Art (SOTA) models and applies it to specific applications through Fine-Tuning (FT). However, fine-tuning large models can be time-consuming, and determining which layers to...

Integrating artificial intelligence (AI) with drones has emerged as a promising paradigm for advancing agriculture. This bibliometric analysis investigates the current state of research in this transformative domain by comprehensively reviewing 234 pertinent articles from Scopus and Web of Science databases. The problem involves harnessing AI-drive...

Lightweight eco-materials are in high demand in many sectors, such as aerospace, industry, and building due to their several characteristics. The present paper is an experimental investigation of the thermal characteristics of novel sandwich panels made with local and ecological materials namely agglomerated cork for the core and bio-composite mate...

Artificial intelligence has been incorporated into modern agriculture to increase agricultural output and resource efficiency. Utilizing deep learning, particularly convolutional neural networks, for recognizing and diagnosing plant diseases is tempting. In parallel, drone integration in precision agriculture has accelerated, providing new potentia...

Breast ultrasound images are highly valuable for the early detection of breast cancer. However, the drawback of these images is low-quality resolution and the presence of speckle noise, which affects their interpretability and makes them radiologists’ expertise-dependent. As medical images, breast ultrasound datasets are scarce and imbalanced, and...

Breast cancer causes a huge number of women’s deaths every year. The accurate localization of a breast lesion is a crucial stage. The segmentation of breast ultrasound images participates in the improvement of the process of detection of breast anomalies. An automatic approach of segmentation of breast ultrasound images is presented in this paper,...

PurposeThe COVID-19 pandemic has disrupted many health systems, causing congestion in some hospital settings. Physical consultation increases the risk of infection for staff and patients and requires a significant amount of health system resources. Researchers around the world are mobilizing to develop effective detection methods to control the spr...

Energy consumption forecasting has known a big interest in the last few years due to its important role in the smart grid domain. It helps to manage and dispatch the smart grid energy sources. Furthermore, load consumption predictions and scheduling of the generation resources to satisfy the demand side enable minimizing the energy generation cost....

Many countries have adopted a public health approach that aims to address the particular challenges faced during the pandemic Coronavirus disease 2019 (COVID-19). Researchers mobilized to manage and limit the spread of the virus, and multiple artificial intelligence-based systems are designed to automatically detect the disease. Among these systems...

Thyroid and breast cancers are seen as two diseases that mostly affect women worldwide. Ultrasonography is known to be an effective modality in interpreting these diseases. It is a safe, accessible, cost-effective, and non-invasive but highly operator-dependent technique. Ultrasound (US) images suffer from poor image quality. Thus, the need for an...

The traditional methods used to identify plant diseases mostly rely on expert opinion, which causes long waits and enormous expenses in the control of crop diseases and field activities, especially given that the majority of crop infections now in existence have tiny targets, occlusions, and looks that are similar to those of other diseases. To inc...

Rehabilitation services are among the most severely impacted by the COVID-19 pandemic. This has increased the number of people not receiving the needed rehabilitation care. Home-based rehabilitation becomes alternative support to face this greater need. However, monitoring kinematics parameters during rehabilitation exercises is critical for an eff...

Wireless sensor networks (WSN) have witnessed increased utilization in recent years, particularly with the internet of things (IoT) trend in numerous sectors such as health, agriculture, marine, and intelligent buildings. The main challenge of these networks is energy efficiency; typically, sensor nodes are powered by tiny batteries with limited ca...

The absence of an effective cure to Parkinson as a neurodegenerative disease calls for early diagnosis and appropriate therapeutic process to provide patients with better quality of treatment. Therefore, to diagnose Parkinson’s Disease (PD) at its early stage, clinicians rely on visual observation of dopaminergic deficit in both caudate and putamen...

In 2019, the whole world is facing a health emergency due to the emergence of the coronavirus (COVID-19). About 223 countries are affected by the coronavirus. Medical and health services face difficulties to manage the disease, which requires a significant amount of health system resources. Several artificial intelligence-based systems are designed...

Objectives: This study presents PD Predict, a machine learning system for Parkinson disease classification using voice as a biomarker. Methods: We first created an original set of recordings from the mPower study, and then extracted several audio features, such as mel-frequency cepstral coefficient (MFCC) components and other classical speech fe...

Thermal insulation is a good strategy for saving energy and reducing the emission of CO 2 especially when produced locally with ecological materials. The hereby document aims at evaluating the thermal and mechanical properties of eco-composite materials based on plaster and wood waste or granular cork. The proportion of used additives were respecti...

Breast cancer is one of the leading causes of death worldwide. Ultrasound images can be seen as an extremely convenient way to diagnose breast tumors, as it can be used alone or in conjunction with a mammogram to determine the nature of a breast lesion. It is a non-ionizing technique, harmless, and very accessible. In the era of artificial intellig...

This paper seeks to detect Parkinson’s disease among healthy cases, several neurological diseases, in particular those which are very similar, that is to say representing a parkinsonian syndrome such as multi system atrophy. Early detection based on the phonatory symptoms will offer a possibility to the treatments proposed by the doctors to act eff...

PurposeDetecting and classifying cardiac arrhythmias is critical to the diagnosis of patients with cardiac abnormalities. In this work, we compare different convolutional neural network (CNN) architectures for electrocardiogram (ECG) beat classification that meet the accuracy, latency, and energy efficiency required for modern healthcare systems.Me...

Heart diseases cause many deaths around the world every year, and his death rate makes him the leader of the killer diseases. But early diagnosis can be helpful to decrease those several deaths and save lives. To ensure good diagnose, people must pass a series of clinical examinations and analyzes, which make the diagnostic operation expensive and...

Wireless sensor networks (WSN) have become increasingly important in agriculture in recent years because they provide critical tools for better decision-making (knowledge -collection- storage- analysis-dissemination of data). These technologies provide resources for making informed decisions and implementing control measures on time. They are also...

Blood pressure issues are related to many illnesses threatening human health and require continuous control and monitoring. Health telemonitoring is an innovative solution allowing wellbeing and increasing autonomy of patients. Moreover, machine learning algorithms are a viable method used in recent studies for analyzing, predicting, and classifyin...

Objective: With advances in data availability and computing capabilities, artificial intelligence and machine learning technologies have evolved rapidly in recent years. Researchers have taken advantage of these developments in healthcare informatics and created reliable tools to predict or classify diseases using machine learning-based algorithms...

The enhancement of patient safety and the improvement of medical care services remain one the main concerns of the World Health Organization. Thus, given the healthcare critical impact on patients, there is a growing need for high-risk and expensive medicine management. For this purpose, we propose an innovative system prototype for the reduction o...

Location-based systems have come under the spotlight in the last decade. They became significant with the bloom of applications that have tracking services. Indoors, wireless technologies can be an alternative for precise positioning in small or large areas where GPS signals are too weak and inaccurate. In this paper, we present a Wi-Fi Received Si...

Plant diseases are a major threat to food security. Thus, the identification of these diseases is crucial to alleviate the problem. Deep learning combined with image processing has proven to be efficient in order to identify such diseases accurately, automatically and quickly. This article presents a general architecture for plant disease predictio...

People suspected of having COVID-19 need to know quickly if they are infected, so they can receive appropriate treatment, self-isolate, and inform those with whom they have been in close contact. Currently, the formal diagnosis of COVID-19 requires a laboratory test (RT-PCR) on samples taken from the nose and throat. The RT-PCR test requires specia...

Cardiovascular disease is the leading cause of death worldwide. The diagnosis is made by non-invasive methods, but far from being comfortable, rapid, and accessible to everyone. Speech analysis is an emerging non-invasive diagnostic tool, and a lot of research has shown that it is efficient in speech recognition, and in detecting Parkinson's diseas...

A smart IoT system is created by combining different types of technologies. There is a need to create architecture for the whole system by combining such components. In this paper, a conceptual architecture of AI-enabled IoT system for knee rehabilitation exercises telemonitoring is proposed. This architecture is based on a generalized structure of...

Human blood pressure is a health indicator related to various chronic diseases. With the development of telemedicine applications, innovative devices are being marketed to monitor remotely human health and to increase more autonomy and wellbeing. The application of machine learning algorithms for continuous blood pressure (BP) monitoring is a viabl...

The wireless body area networks (WBANs) has become increasingly deployed in medical care services as real-time remote monitoring applications for human health. These applications based on a hardware and software infrastructure offer the possibility of continuous remote monitoring of patient’s health parameters. Furthermore, it provides doctors with...

em>The heart is the organ that pumps blood with oxygen and nutrients into all body organs by a rhythmic cycle overlapping between contraction and dilatation. This is done by producing an audible sound which we can hear using a stethoscope. Many are the causes affecting the normal function of this most vital organ. In this respect, the heart sound c...

Objectives Parkinson’s disease (PD) is the second most common neurodegenerative disorder; it affects more than 10 million people worldwide. Detecting PD usually requires a professional assessment by an expert, and investigation of the voice as a biomarker of the disease could be effective in speeding up the diagnostic process. Methods We present o...

Health telemonitoring systems are constrained by the computational and data transmission load resulting from the large volumes of various measured signals, e.g. in the fall detection application. Nevertheless, the trend of movement and the implementation of computer intelligence in intelligent devices ensure an intelligent and convenient method for...

p class="0abstract"> One of the primary concerns of the World Health Organization is the improvement of medical care by reducing adverse events in the medication process and enhancing the safety of patients. These issues are mainly related to the management of expensive and high-risk medicines in hospitals. In this paper, we enhanced medication man...

p class="0abstract"> Indoor Positioning has come under the spotlight in the last decade due to the increasing of location-based services demands. RSS Wi-Fi based positioning using the fingerprinting technique is widely used due to its low hardware requirements and simplicity. However, multi-path and fading cause random fluctuations of collected RSS...

Nowadays, in healthcare industry, data analysis can save lives by improving the medical diagnosis. And with the huge development in software engineering, different data mining tools are available for researchers, and used to conduct studies and experiments. For this, we have decided to compare six common data mining tools: Orange, Weka, RapidMiner,...

Phonocardiogram signals (PCG) and electrocardiogram signals (PCG) have been used separately for decades to diagnose heart abnormalities. Combining these two synchronous signals is expected to enhance the diagnosis for better medical management of patients. This paper's objective is to highlight the performance comparison between the diagnosis of he...

The technological progress of wireless communication, embedded systems and health offers innovative alternatives to medical care, in particular, telemonitoring and telediagnosis. ECG signal monitoring is a vital indicator in the control of heart disease. Nevertheless, one of the main challenges of remote monitoring of heart rate is the requirement...

How to ensure an efficient medical personnel and equipment management within a hospital and help patients specially in emergency medical conditions. This paper presents a Wi-Fi based indoor positioning system for hospitals. It firstly presents the proposed indoor positioning procedure, analyses the advantages of Wi-Fi compared to the common positio...

In recent years localization of nodes in wireless sensor networks (WSNs) has become one the main features of applications. In fact, this issue has been widely explored by the scientific community that proposed many approaches in order to localize network nodes. However, artificial neural network (ANN) can be used as an operating method. Therefore,...

Current progress in technology, especially wireless body area network (WBAN) became one of the enabling technologies that provide many successful applications in non-medical or medical field. WBAN is a communication standard optimised for low power devices and operation on, in or around the human body, to monitor the human health issues and route t...

In the current smart cities, assistive IoT technologies are employed in several services to improve the physical and social functioning of persons with disabilities (PwD) and elderly people. This book chapter highlights the exploitation of these technologies to build a home-based smart rehabilitation system for a knee injury. This system aims to re...

One of the primary concerns of the World Health Organization is the improvement of medical care by reducing adverse events in the medication process and enhancing the safety of patients. These issues are mainly related to the management of expensive and high-risk medicines in hospitals. In this pa-per, we enhanced medication management by minimizin...

In this paper, an IoT-based knee functional rehabilitation smart system is proposed. This system aims to reduce patient mobility to attend the rehabilitation session, in order to achieve good accessibility and proper management of transport, improving thus smart cities' characteristics in terms of smart living, smart mobility, and smart healthcare....

span lang="EN-US">In order to develop the assessment of phonocardiogram “PCG” signal for discrimination between two of people classes – individuals with heart disease and healthy one- we have adopted the database provided by "The PhysioNet/Computing in Cardilogy Challenge 2016", which contains records of heart sounds 'PCG '. This database is chosen...

A Wireless Sensor Networks (WSNs) consists basically of a group of nodes, that communicate with each other through a wireless transmission, and does not need any existing infrastructure. The recent developments in technology and wireless communication, to be used in various applications, foster the development of Wireless Body Area Networks (WBANs)...

Even in difficult places to reach, the new networking technique allows the easy deployment of sensor networks, although these wireless sensor networks confront a lot of constraints. The major constraint is related to the quality of information sent by the network. The wireless sensor networks use different methods to achieve data to the base statio...

In this study we introduced a method for early detecting of Parkinson’s disease (PD) in patients with rapid eye movement sleep behavior disorder (RBD). Patients suffering from RBD are at extremely high risk (> 80%) for developing PD as well as other related neurodegenerative disorders. The database used in this study contains 30 PD patients in the...

Technological advances in signal processing, electronics, embedded systems, and neuroscience have allowed the design of devices that help physicians to better assess the evolution of neurological diseases. In this context, we are interested in the development of an intelligent system for the quantification of Parkinson’s disease (PD). To achieve th...

Recently the Wireless Body Area Network (WBAN) technology has appeared as a subcategory of wireless sensor network (WSN) to improve the quality of life. For such medical system, the improving of reliability becomes very critical research issue because the patient requires continuous monitoring via network. On the other hand, a special attention mus...

p class="IJASEITParagraph">Recently, a wide range of speech signal processing algorithms (dysphonia measures) aiming to detect patients with Parkinson’s disease (PD). So we have computed 19 dysphonia measures from sustained vowels collected from 375 voice samples from healthy and people suffer from PD. All the features are analysed and the more rel...