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Revolutionizing Small-Scale Retail: Introducing an Intelligent IoT-based Scale for Efficient Fruits and Vegetables Shops
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
In the bustling streets of Pakistan, small-scale fruits and vegetables shops stand as vital hubs of daily life. These humble establishments are where people flock to satisfy their everyday needs. However, the traditional ...
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 ...
Brain Tumor Classification from MRI Using Image Enhancement and Convolutional Neural Network Techniques
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
The independent detection and classification of brain malignancies using magnetic resonance imaging (MRI) can present challenges and the potential for error due to the intricate nature and time-consuming process involved. ...
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. ...
Effect of using Oil Shale Ash on geotechnical properties of cement-stabilized expansive soil for pavement applications
(Elsevier Ltd, 2023)
Expansive soil is considered an engineering problem that may cause cracks and distresses in structures and roads. Due to its swelling potential and low unconfined strength, expansive soil causes failures in structures and ...
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) ...
Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
The rapid advancements in technology have paved the way for innovative solutions in the healthcare domain, aiming to improve scalability and security while enhancing patient care. This abstract introduces a cutting-edge ...
Mutual Coupling Reduction in Antenna Arrays Using Artificial Intelligence Approach and Inverse Neural Network Surrogates
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
This paper presents a novel approach to reducing undesirable coupling in antenna arrays using custom-designed resonators and inverse surrogate modeling. To illustrate the concept, two standard patch antenna cells with 0.07λ ...
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 ...
On a SEIR-type model of COVID-19 using piecewise and stochastic differential operators undertaking management strategies
(American Institute of Mathematical Sciences, 2023)
In this work, an epidemic model of a susceptible, exposed, infected and recovered SEIR-type is established for the distinctive dynamic compartments and epidemic characteristics of COVID-19 as it spreads across a population ...