Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …
tools and data fusion strategies has recently opened new perspectives for environmental …
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …
the health and well-being of millions of people worldwide. Structural and functional …
Novel deep transfer learning model for COVID-19 patient detection using X-ray chest images
Around the world, more than 250 countries are affected by the COVID-19 pandemic, which is
caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This …
caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This …
Efficient 3D AlexNet architecture for object recognition using syntactic patterns from medical images
S Rani, D Ghai, S Kumar… - Computational …, 2022 - Wiley Online Library
In computer vision and medical image processing, object recognition is the primary concern
today. Humans require only a few milliseconds for object recognition and visual stimulation …
today. Humans require only a few milliseconds for object recognition and visual stimulation …
Joint optimization of energy consumption and time delay in IoT-fog-cloud computing environments using NSGA-II metaheuristic algorithm
V Jafari, MH Rezvani - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Today, there exists a growing demand for Internet of Things (IoT) services in the form of
vehicle networks, smart cities, augmented reality, virtual reality, positioning systems, and so …
vehicle networks, smart cities, augmented reality, virtual reality, positioning systems, and so …
Spoken language identification using deep learning
The process of detecting language from an audio clip by an unknown speaker, regardless of
gender, manner of speaking, and distinct age speaker, is defined as spoken language …
gender, manner of speaking, and distinct age speaker, is defined as spoken language …
AS-NAS: Adaptive scalable neural architecture search with reinforced evolutionary algorithm for deep learning
Neural architecture search (NAS) is a challenging problem in the design of deep learning
due to its nonconvexity. To address this problem, an adaptive scalable NAS method (AS …
due to its nonconvexity. To address this problem, an adaptive scalable NAS method (AS …
Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification
COVID-19 has become a pandemic for the entire world, and it has significantly affected the
world economy. The importance of early detection and treatment of the infection cannot be …
world economy. The importance of early detection and treatment of the infection cannot be …
An evolutionary block based network for medical image denoising using Differential Evolution
Image denoising is the key component in several computer vision and image processing
operations due to unavoidable noise in the image generation process. For medical image …
operations due to unavoidable noise in the image generation process. For medical image …
[Retracted] Artificial Intelligence of Things‐(AIoT‐) Based Patient Activity Tracking System for Remote Patient Monitoring
Telehealth and remote patient monitoring (RPM) have been critical components that have
received substantial attention and gained hold since the pandemic's beginning. Telehealth …
received substantial attention and gained hold since the pandemic's beginning. Telehealth …