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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 ...
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 ...
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 ...
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. ...
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 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 ...
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 ...
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 ...