Computer Engineering
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Enhancing Mild Cognitive Impairment Detection through Efficient Magnetic Resonance Image Analysis
(Tech Science Press, 2024)Neuroimaging has emerged over the last few decades as a crucial tool in diagnosing Alzheimer’s disease (AD). Mild cognitive impairment (MCI) is a condition that falls between the spectrum of normal cognitive function and ... -
Synergistic Swarm Optimization Algorithm
(Tech Science Press, 2024-03)This research paper presents a novel optimization method called the Synergistic Swarm Optimization Algorithm (SSOA). The SSOA combines the principles of swarm intelligence and synergistic cooperation to search for optimal ... -
Machine Learning and Deep Learning Techniques for Internet of Things Network Anomaly Detection—Current Research Trends
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-03)With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels of connectivity and data. Anomaly detection is a security feature that identifies instances in which system behavior deviates from ... -
Smart home energy management systems: Research challenges and survey
(Elsevier B.V., 2024-04)Electricity is establishing ground as a means of energy, and its proportion will continue to rise in the next generations. Home energy usage is expected to increase by more than 40% in the next 20 years. Therefore, to ... -
A Novel Parallel Computing Confidentiality Scheme Based on Hindmarsh-Rose Model
(Tech Science Press, 2023-08-30)Due to the inherent insecure nature of the Internet, it is crucial to ensure the secure transmission of image data over this network. Additionally, given the limitations of computers, it becomes even more important to ... -
Optimization of fuzzy rules using neural network to control mobile robot in non-structured environment
(Institute of Advanced Engineering and Science, 2023-10)It is still a challenge for all authors to control an autonomous mobile robot in an unstructured environment. The purpose of this paper is to propose a new control method for mobile robots in unstructured environments using ... -
An efficient deep learning model for brain tumour detection with privacy preservation
(John Wiley and Sons Inc, 2023)Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems ... -
FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices
(Springer Science and Business Media Deutschland GmbH, 2023)Background: 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 ... -
Texture features analysis technique to detect mass lesion in digitized mammogram images
(Institute of Advanced Engineering and Science, 2023)Mass lesions are one of the breast cancer tumors. Mammogram images are the first screening tool to detect tumors in the women breast, but due to radiologist fatigue, number of false positive (FP) and false negative (FN) ... -
An explainable ensemble of multi-view deep learning model for fake review detection
(King Saud bin Abdulaziz University, 2023)Online reviews significantly impact consumers who are purchasing or seeking services via the Internet. Businesses and review platforms need to manage these online reviews to avoid misleading customers through fake ones. ... -
A Novel Combined DenseNet and Gated Recurrent Unit Approach to Detect Energy Thefts in Smart Grids
(Institute of Electrical and Electronics Engineers Inc., 2023)Due to the illegal use of electricity, non-technical losses are exponentially increasing in electricity distribution systems day by day. With the debut of smart meters in the smart grid, new electricity theft attacks are ... -
Utilizing Artificial Bee Colony Algorithm as Feature Selection Method in Arabic Text Classification
(Zarka Private University, 2023)A huge amount of crucial information is contained in documents. The vast increase in the number of E-documents available for user access makes the utilization of automated text classification essential. Classifying or ... -
Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection
(Frontiers Media S.A., 2023)Objective: During the last few years, underwater object detection and marine resource utilization have gained significant attention from researchers and become active research hotspots in underwater image processing and ... -
IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3
(MDPI, 2022)Artificial intelligence plays an essential role in diagnosing lung cancer. Lung cancer is notoriously difficult to diagnose until it has progressed to a late stage, making it a leading cause of cancer-related mortality. ... -
Coordination Protocol and Admission Control for Distributed Services in System-of-Systems With Real-Time Requirements
(Institute of Electrical and Electronics Engineers Inc., 2022)System-of-Systems (SoS) offer unprecedented potential for new types of emerging services, which significantly exceed the capabilities of the constituting systems. SoS in safety-critical domains (e.g., medical applications, ... -
An Edge-Based Selection Method for Improving Regions-of-Interest Localizations Obtained Using Multiple Deep Learning Object-Detection Models in Breast Ultrasound Images
(MDPI, 2022)Computer-aided diagnosis (CAD) systems can be used to process breast ultrasound (BUS) images with the goal of enhancing the capability of diagnosing breast cancer. Many CAD systems operate by analyzing the region-of-interest ... -
Sensors-Based Ambient Assistant Living via E-Monitoring Technology
(Tech Science Press, 2022)Independent human living systems require smart, intelligent, and sustainable online monitoring so that an individual can be assisted timely. Apart from ambient assisted living, the task of monitoring human activities plays ... -
A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering
(MDPI, 2022)The Internet of Things (IoT) is a widely used technology in automated network systems across the world. The impact of the IoT on different industries has occurred in recent years. Many IoT nodes collect, store, and process ... -
An evolutionary algorithm for multi-objective optimization of freshwater consumption in textile dyeing industry
(PeerJ Inc., 2022)Optimization is challenging even after numerous multi-objective evolutionary algorithms have been developed. Most of the multi-objective evolutionary algorithms failed to find out the best solutions spread and took more ... -
A model-driven approach for solving the software component allocation problem
(MDPI, 2021)The underlying infrastructure paradigms behind the novel usage scenarios and services are becoming increasingly complex—from everyday life in smart cities to industrial environments. Both the number of devices involved and ...