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Article
Open AccessFireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices
Forests cover nearly one-third of the Earth’s land and are some of our most biodiverse ecosystems. Due to climate change, these essential habitats are endangered by increasing wildfires. Wildfires are not just...
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Chapter and Conference Paper
LSTM-Based QoE Evaluation for Web Microservices’ Reputation Scoring
Sentiment analysis is the task of mining the authors’ opinions about specific entities. It allows organizations to monitor different services in real time and act accordingly. Reputation is what is generally s...
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Article
Open AccessA Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations
Medical images possess significant importance in diagnostics when it comes to healthcare systems. These images contain confidential and sensitive information such as patients’ X-rays, ultrasounds, computed tom...
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Article
Open AccessA federated learning framework for cyberattack detection in vehicular sensor networks
Vehicular Sensor Networks (VSN) introduced a new paradigm for modern transportation systems by improving traffic management and comfort. However, the increasing adoption of smart sensing technologies with the ...
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Article
Req-WSComposer: a novel platform for requirements-driven composition of semantic web services
Service-Oriented Computing (SOC) describes a specific paradigm of computing that utilizes Web services as reusable components in order to develop new software applications. SOC allows distributed applications ...
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Chapter and Conference Paper
An Effective Detection and Classification Approach for DoS Attacks in Wireless Sensor Networks Using Deep Transfer Learning Models and Majority Voting
The Internet of Things (IoT) has been used in various critical fields, including healthcare, elderly surveillance, autonomous transportation, and energy management. As a result of its emergence, several IoT-ba...
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Chapter and Conference Paper
Automatic Saudi Arabian License Plate Detection and Recognition Using Deep Convolutional Neural Networks
Automatic License Plate (LP) detection and recognition algorithms have become a necessity for intelligent transportation systems due to their efficiency in multiple applications such as parking control and tra...
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Chapter and Conference Paper
Towards Optimizing Malware Detection: An Approach Based on Generative Adversarial Networks and Transformers
Nowadays, cybercriminals are carrying out many forms of cyberattacks. Malware attacks, in particular, have emerged as one of the most challenging concerns in the cybersecurity area, as well as a key weapon use...
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Chapter and Conference Paper
Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives
During the last decade, several research works have focused on providing novel deep learning methods in many application fields. However, few of them have investigated the weight initialization process for dee...
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Chapter and Conference Paper
Voting Classifier-Based Intrusion Detection for IoT Networks
Internet of Things (IoT) is transforming human lives by paving the way for the management of physical devices on the edge. These interconnected IoT objects share data for remote accessibility and can be vulner...
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Article
WS-ADVISING: a Reusable and reconfigurable microservices‐based platform for effective academic advising
Academic advising is essential for students’ success at the university level. This paper proposes a reusable and reconfigurable microservices-based platform called WS-ADVISING as a means of supporting effectiv...
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Article
Association between HER2 and IL-6 genes polymorphisms and clinicopathological characteristics of breast cancer: significant role of genetic variability in specific breast cancer subtype
Clinical implications of single nucleotide polymorphisms (SNPs) in breast cancer have been explored to determine the impact of SNP in modulating the pathogenesis of breast cancer. This study aimed to evaluate ...
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Article
Prognostic factors of ALK-negative anaplastic large-cell lymphoma: a single-institution experience
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Article
The role of the Notch pathway in healthy and osteoarthritic articular cartilage: from experimental models to ex vivo studies
Osteoarthritis is the most prevalent form of arthritis in the world. With the progressive ageing of the population, it is becoming a major public health problem. The involvement of certain signaling pathways, ...
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Chapter
Analytical Quality Assurance
As we described in Chapter 1, Services are often provisioned within short-term, volatile and highly dynamic (business) processes. These processes are designed in an abstract manner and when instantiated can in...
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Chapter and Conference Paper
A Requirement-Centric Approach to Web Service Modeling, Discovery, and Selection
Service-Oriented Computing (SOC) has gained considerable popularity for implementing Service-Based Applications (SBAs) in a flexible and effective manner. The basic idea of SOC is to understand users’ requirem...
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Article
Cotyledonoid dissecting leiomyoma of the uterus associated with endosal**iosis
Cotyledonoid dissecting leiomyoma (CDL) may create a diagnostic challenge. A 47-year-old woman underwent laparotomy for a large pelvic mass associated to vaginal bleeding. During operation, a bulky deep red ma...
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Article
Lymphoepithelioma-like carcinoma of the submandibular salivary gland associated with Epstein–Barr virus in a North African woman
