Article
Construction & Building Technology
Basim Abu-Jdayil, Mohamed Saeed Barkhad, Abdel-Hamid I. Mourad, Muhammad Z. Iqbal
Summary: The development of a green polymer composite made of date palm wood powder and polylactic acid as an insulating material shows promising results in terms of thermal stability and mechanical strength. By adding date palm wood powder to the PLA matrix, the composite exhibits low thermal conductivity, thermal diffusivity, and water absorption, while maintaining high compressive strength. Recycling of date palm wood powder waste for green thermal insulation materials is beneficial for the economy and the environment.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Materials Science, Composites
Sreekumar P. Appu, Omar Ashwaq, Mamdouh Al-Harthi, Yunusa Umar
Summary: The study found that the addition of date palm seed powder reduces the crystallinity of recycled linear low-density polyethylene, while not affecting its melting and crystallization temperature. With the increase in filler loading, thermal stability decreases leading to a decrease in mechanical properties.
JOURNAL OF THERMOPLASTIC COMPOSITE MATERIALS
(2021)
Article
Construction & Building Technology
Khalid AlShuhail, Abdelsalam Aldawoud, Junaidi Syarif, Ideisan Abu Abdoun
Summary: The study found that date palm fibers had a more significant influence compared to wood chips on the properties of soil bricks. Adding different amounts of date palm fibers and wood chips can significantly improve the compressive strength and water absorption of soil bricks.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Polymer Science
Hyder Al Abdallah, Basim Abu-Jdayil, Muhammad Z. Iqbal
Summary: The effect of alkaline treatment on the thermal and mechanical properties of date palm wood fiber and polylactic acid composite was investigated. The treatment increased the crystallinity and reduced the density of the composites.
Article
Mechanics
M. Asim, M. Jawaid, H. Fouad, O. Y. Alothman
Summary: The research demonstrated that NaOH treated date palm fibers can effectively enhance the performance of phenolic-based composites, resulting in superior tensile strength and thermal stability. However, there may be some decline in flexural performance and fiber/matrix bonding.
COMPOSITE STRUCTURES
(2021)
Article
Polymer Science
Chihaoui Belgacem, Ferran Serra-Parareda, Quim Tarres, Pere Mutje, Marc Delgado-Aguilar, Sami Boufi
Summary: Date palm waste (DPW) used as a reinforcing filler in polypropylene matrix showed improved mechanical properties when coupled with maleated polypropylene (MAPP), with the reinforcing potential strongly dependent on aspect ratio and interface quality. The change in the quality of the interface between DPW and polypropylene polymer chain was crucial in enhancing the strength and stiffness of the resulting composite.
Article
Materials Science, Composites
Amina Hachaichi, Sorya Nekkaa, Salah Amroune, Mohammad Jawaid, Othman Y. Alothman, Alain Dufresne
Summary: This study developed an environmentally friendly alternative material based on waste from Algerian date palm trees, using DPF as an effective reinforcing material for HDPE biocomposite. Through optimization of treatment methods and mixing ratios, the mechanical and interfacial properties of the composite materials were significantly improved, showing great potential for industrial applications.
POLYMER COMPOSITES
(2022)
Article
Materials Science, Multidisciplinary
A. B. M. Supian, M. Jawaid, B. Rashid, H. Fouad, N. Saba, Hom N. Dhakal, Ramzi Khiari
Summary: The study revealed that the date palm fiber/bamboo hybrid composite exhibited superior mechanical properties and higher water resistance compared to single date palm fiber composite, making it suitable for applications as non-structural and semi-structural components.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2021)
Article
Materials Science, Composites
Chun-Yan Wang, Guang-Jian He, Wei-Tao Huang, Xiao-Chun Yin
Summary: This study introduces a fast functionalization method of PE using ozone oxidization, which significantly enhances the hydrophilicity of PE and improves the interfacial adhesion between PE and wood fiber in wood-plastic composites. The introduction of oxygen-containing groups through ozone oxidization greatly enhances the hydrophilicity of PE, leading to a substantial improvement in the tensile elongation of the composites.
POLYMER COMPOSITES
(2021)
Article
Engineering, Chemical
Malek Ali, Anwar H. Al-Assaf, Mohammad Salah
Summary: In this study, Recycled Polymer (RP) composites were synthesized using compression molding process. Date Palm Fibers (DPF) were used as reinforcement materials with different lengths and weight ratios. The results showed that the hardness and impact of the composites increased with the increase of DPF weight ratio and length. The specimens with 10mm length and 20wt% weight ratio exhibited the highest creep resistance and tensile strength. The specimens with 2.5mm length and 5% weight ratio had the maximum strain due to the ductility of the plastic matrix.
ADVANCES IN POLYMER TECHNOLOGY
(2022)
Article
Construction & Building Technology
Daifallah Khoudja, Bachir Taallah, Ouarda Izemmouren, Salima Aggoun, Ouided Herihiri, Abdelhamid Guettala
Summary: The renewed interest in the exploitation of local materials is driven by reasons such as low cost building materials, thermal comfort, energy consumption reduction, and lower carbon dioxide emissions. The study tested a bio-sourced composite material, raw earth bricks, stabilized with lime and mixed with date palm waste aggregates, which showed improved thermal insulation properties.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Agricultural Engineering
Diogo Antonio Correa Gomes, Eduardo Helio da Novais Miranda, Maria Cecillia Ramos de Araujo Veloso, Marcela Gomes da Silva, Gracialda Costa Ferreira, Lourival Marin Mendes, Jose Benedito Guimaraes Junior
Summary: The study evaluated the effects of different contents of jupati particles on the properties of composite materials made with recycled LDPE as the matrix. The inclusion of jupati particles in the composites resulted in increased density and improved properties, except for the modulus of rupture. These results were attributed to the chemical characteristics of jupati particles and their low interaction with the matrix.
INDUSTRIAL CROPS AND PRODUCTS
(2023)
Article
Materials Science, Composites
Syed Waheedullah Ghori, Gunji Srinivasa Rao
Summary: This study evaluated the thermal and mechanical properties of epoxy hybrid composites reinforced with date palm fiber and kenaf fiber at various fiber loadings. The results showed that kenaf fiber had a positive impact on date palm fiber, improving both the mechanical and thermal properties with potential applications in the building industry and automobiles. The study also suggests further research on comparing treated hybrid composites with untreated ones.
POLYMER COMPOSITES
(2021)
Article
Energy & Fuels
Nedjla Debabeche, Oumkeltoum Kribaa, Hamida Boussehel, Belhi Guerira, Mohammad Jawaid, Hassan Fouad, M. A. Azeem
Summary: The influence of successive treatments on the fiber surface (NaOH, hydrogen peroxide, and acetic anhydride) in palm petiole fiber composites was examined. The treatments were found to improve the interfacial adhesion between the fibers and the matrix, resulting in more rigid and homogeneous composites. The mechanical and morphological properties of the composites were evaluated, and the results indicated the potential of these treated fibers for creating sustainable and eco-friendly materials.
BIOMASS CONVERSION AND BIOREFINERY
(2023)
Article
Chemistry, Applied
Sefa Durmaz, Ozlem Ozgenc Keles, Ugur Aras, Yusuf Ziya Erdil, Fatih Mengeloglu
Summary: In recent years, wood-plastic composites (WPCs) have become popular engineering materials, especially for outdoor usage. However, they are prone to deterioration due to weathering conditions. This study found that adding zinc oxide nanoparticles to a high-density polyethylene-based WPC matrix improved its resistance to UV degradation and reduced color changes. The combination of 10% zinc oxide nanoparticles and 50% wood flour content provided the best protection against weathering.
COLORATION TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Omar Elharrouss, Noor Almaadeed, Khalid Abualsaud, Somaya Al-Maadeed, Ali Al-Ali, Amr Mohamed
Summary: This paper proposes a new dataset consisting of 6000 annotated images for crowd counting and generating crowd density maps. It also introduces a CNN-based method for crowd counting using context-aware attention, spatial-wise attention, and channel-wise attention modules. The experimental results show satisfactory performances of the proposed method on various datasets.
Article
Computer Science, Information Systems
Younes Akbari, Somaya Al-Maadeed, Noor Al-Maadeed, Al Anood Najeeb, Afnan Al-Ali, Fouad Khelifi, Ashref Lawgaly
Summary: The field of digital imaging has seen significant progress in recent years, with the widespread use of smartphone video cameras and internet-based platforms. However, this has also raised security concerns, such as identifying the source cameras in videos. One of the challenges is individual source camera identification (ISCI), which requires the development of video databases and improvements in deep learning methods. This paper introduces the Qatar University Forensic Video Database (QUFVD), which is suitable for evaluating techniques in video source smartphone identification and verification.
Article
Polymer Science
Igor Novak, Jozef Preto, Vladimir Vanko, Jozef Rychly, Juraj Pavlinec, Ivan Chodak
Summary: Grafting acrylic acid onto activated metallocene poly(ethylene-co-propylene) significantly increases adhesion strength of the hot-melt adhesive, making it a valuable component for book binding.
Review
Medicine, General & Internal
Anila Sebastian, Omar Elharrouss, Somaya Al-Maadeed, Noor Almaadeed
Summary: The number of people with diabetes has been increasing globally, affecting individuals of all ages. Long-term diabetes sufferers are prone to a condition called Diabetic Retinopathy (DR), which causes damage to the eyes. Early detection through automatic detection using new technologies can help prevent complications such as vision loss. Deep Learning (DL) methods, a branch of Artificial Intelligence (AI), are widely used for developing DR detection systems. This study surveys existing literature and describes current DL techniques used by researchers in this field, followed by a comparison of performance using commonly used metrics in computer vision tasks.
Article
Chemistry, Analytical
Najmath Ottakath, Somaya Al-Maadeed
Summary: Vehicle identification and re-identification is crucial for traffic surveillance. Computer vision techniques like vehicle segmentation, make and model classification, and license plate detection enable automated surveillance. Instance segmentation is used to uniquely represent each vehicle on the road by extracting the region of interest. By segmenting the frontal part of the vehicle, the make and license plate can be identified. The study utilizes the state-of-the-art maskRCNN method to achieve the best performing model and evaluates data augmentation techniques for improved dataset generalization. The results show significant improvements in classification accuracy and mAP compared to previous approaches.
Review
Chemistry, Multidisciplinary
Anila Sebastian, Omar Elharrouss, Somaya Al-Maadeed, Noor Almaadeed
Summary: Diabetes is a global problem that can affect people of all ages. Diabetic retinopathy (DR) is a major eye condition resulting from diabetes, which, if not detected and treated in time, can lead to vision loss. Manual examination by experts is currently the time-consuming process of detecting and monitoring DR. The identification of retinal vasculature, as well as segmentation of the optic disc (OD)/fovea, plays a crucial role in DR detection. Advancements in artificial intelligence (AI) and specifically in deep learning (DL) have led to their widespread use in DR-related studies. In this study, we review the latest literature on DR segmentation and lesion detection from fundus images using DL.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Hanadi Hassen Mohammed, Omar Elharrouss, Najmath Ottakath, Somaya Al-Maadeed, Muhammad E. H. Chowdhury, Ahmed Bouridane, Susu M. M. Zughaier
Summary: This study evaluates the performance of four recent deep learning models in segmenting the intima-media complex using ultrasound images. The self-ONN model outperforms the conventional CNN-based model, while the pixel difference and transformer-based models achieve the best segmentation performance.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Jezia Zakraoui, Moutaz Saleh, Somaya Al-Maadeed, Jihad Mohamad Alja'am
Summary: Generating automatic visualization from natural language texts is important for language learning and literacy development. However, translating text into coherent visualizations is challenging. To address this, we proposed a robust story visualization pipeline that includes NLP, relation extraction, image sequence generation, and alignment. Our preliminary results show effectiveness, and further enhancements can be made.
APPLIED SCIENCES-BASEL
(2023)
Article
Medicine, General & Internal
Naima Nasrin Nisha, Kanchon Kanti Podder, Muhammad E. H. Chowdhury, Mamun Rabbani, Md. Sharjis Ibne Wadud, Somaya Al-Maadeed, Sakib Mahmud, Amith Khandakar, Susu M. Zughaier
Summary: Transcranial doppler (TCD) ultrasound is a non-invasive imaging technique that can monitor blood flow in the brain. This study proposes a classification model based on TCD ultrasound signals to distinguish healthy subjects from critically ill subjects for early detection of neurological diseases. The model achieves high classification accuracy using a deep learning approach.
Review
Social Sciences, Interdisciplinary
Yassine Himeur, Somaya Al-Maadeed, Iraklis Varlamis, Noor Al-Maadeed, Khalid Abualsaud, Amr Mohamed
Summary: This paper reviews the progress in face mask detection research, with a focus on deep learning and deep transfer learning techniques. It first describes and discusses existing face mask detection datasets, then presents recent advances in object detectors and Convolutional Neural Network architectures, as well as the different deep learning techniques that have been applied. Benchmarking results are summarized, and the limitations of datasets and methodologies are discussed. Lastly, future research directions are discussed in detail.
Review
Environmental Sciences
Mithra Geetha, Sumalatha Bonthula, Somaya Al-Maadeed, Hamad Al-Lohedan, Jothi Ramalingam Rajabathar, Selvaraj Arokiyaraj, Kishor Kumar Sadasivuni
Summary: Numerous conventional methods are available for analyzing various water quality parameters to determine the water quality index. Ongoing surveillance is necessary for large bodies of water to support a robust surface and groundwater ecosystem. This review paper provides an overview of water quality monitoring, modeling, numerous sensors used, and various artificial intelligence approaches to predict the water quality index.
Review
Medicine, General & Internal
Najmath Ottakath, Somaya Al-Maadeed, Susu M. Zughaier, Omar Elharrouss, Hanadi Hassen Mohammed, Muhammad E. H. Chowdhury, Ahmed Bouridane
Summary: This paper presents a comprehensive review of ultrasound image analysis methods for detecting and characterizing plaque buildup in the carotid artery. It includes an in-depth analysis of datasets, image segmentation techniques, and plaque measurement, characterization, classification, and grading using deep learning and machine learning. The paper also provides an overview of the performance of these methods, challenges in analysis, and future directions for research.
Article
Computer Science, Information Systems
Younes Akbari, Al Anood Najeeb, Somaya Al Maadeed, Omar Elharrouss, Fouad Khelifi, Ashref Lawgaly
Summary: The advancement of Internet technology has greatly impacted daily life, with digital videos from smartphones being the most popular form of multimedia. These videos are extensively shared on various social media platforms. The credibility, reliability, and integrity of these videos have become major concerns. This paper presents a dataset of video forgeries, specifically copy-move forgeries, where objects are inserted or deleted from original videos without detection. The dataset includes videos from five different mobile devices and experiments are conducted using classical and deep learning methods.
Article
Computer Science, Artificial Intelligence
Philip Easom-McCaldin, Ahmed Bouridane, Ammar Belatreche, Richard Jiang, Somaya Al-Maadeed
Summary: This article proposes a new single-qubit-based deep quantum neural network for image classification, which mimics traditional convolutional neural network techniques and reduces the number of parameters. Preliminary test results on various datasets demonstrate promising classification accuracies.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Imaging Science & Photographic Technology
Kalthoum Adam, Somaya Al-Maadeed, Younes Akbari
Summary: This paper presents a novel method for estimating the date of historical Arabic documents using hierarchical fusion of multiple features, which improves classification accuracy through joint sparse representation.
JOURNAL OF IMAGING
(2022)
