Search Results - "IEEE access"

A Metaverse: Taxonomy, Components, Applications, and Open Challenges by Park, Sang-Min, Kim, Young-Gab

“…Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is based on the social value of Generation Z that online and offline…”
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Particle Swarm Optimization: A Comprehensive Survey by Shami, Tareq M., El-Saleh, Ayman A., Alswaitti, Mohammed, Al-Tashi, Qasem, Summakieh, Mhd Amen, Mirjalili, Seyedali

“…Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms in the literature. Although the original PSO has shown good…”
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U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications by Siddique, Nahian, Paheding, Sidike, Elkin, Colin P., Devabhaktuni, Vijay

“…U-net is an image segmentation technique developed primarily for image segmentation tasks. These traits provide U-net with a high utility within the medical…”
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Can AI Help in Screening Viral and COVID-19 Pneumonia? by Chowdhury, Muhammad E. H., Rahman, Tawsifur, Khandakar, Amith, Mazhar, Rashid, Kadir, Muhammad Abdul, Mahbub, Zaid Bin, Islam, Khandakar Reajul, Khan, Muhammad Salman, Iqbal, Atif, Emadi, Nasser Al, Reaz, Mamun Bin Ibne, Islam, Mohammad Tariqul

“…Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any…”
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Wireless Communications Through Reconfigurable Intelligent Surfaces by Basar, Ertugrul, Di Renzo, Marco, De Rosny, Julien, Debbah, Merouane, Alouini, Mohamed-Slim, Zhang, Rui

“…The future of mobile communications looks exciting with the potential new use cases and challenging requirements of future 6th generation (6G) and beyond…”
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Automated Synthesis of Safe Digital Controllers for Sampled-Data Stochastic Nonlinear Systems by Shmarov, Fedor, Soudjani, Sadegh, Paoletti, Nicola, Bartocci, Ezio, Lin, Shan, Smolka, Scott A., Zuliani, Paolo

“…We present a new method for the automated synthesis of digital controllers with formal safety guarantees for systems with nonlinear dynamics, noisy output…”
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Digital Twin: Values, Challenges and Enablers From a Modeling Perspective by Rasheed, Adil, San, Omer, Kvamsdal, Trond

“…Digital twin can be defined as a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization,…”
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A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact by Chamola, Vinay, Hassija, Vikas, Gupta, Vatsal, Guizani, Mohsen

“…The unprecedented outbreak of the 2019 novel coronavirus, termed as COVID-19 by the World Health Organization (WHO), has placed numerous governments around the…”
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A Survey of Autonomous Driving: Common Practices and Emerging Technologies by Yurtsever, Ekim, Lambert, Jacob, Carballo, Alexander, Takeda, Kazuya

“…Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience. However, fatalities involving vehicles equipped with ADSs are on…”
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Pymoo: Multi-Objective Optimization in Python by Blank, Julian, Deb, Kalyanmoy

“…Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since…”
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Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond by Rappaport, Theodore S., Xing, Yunchou, Kanhere, Ojas, Ju, Shihao, Madanayake, Arjuna, Mandal, Soumyajit, Alkhateeb, Ahmed, Trichopoulos, Georgios C.

“…Frequencies from 100 GHz to 3 THz are promising bands for the next generation of wireless communication systems because of the wide swaths of unused and…”
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Digital Twin: Enabling Technologies, Challenges and Open Research by Fuller, Aidan, Fan, Zhong, Day, Charles, Barlow, Chris

“…Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in…”
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Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges by Shakhatreh, Hazim, Sawalmeh, Ahmad H., Al-Fuqaha, Ala, Dou, Zuochao, Almaita, Eyad, Khalil, Issa, Othman, Noor Shamsiah, Khreishah, Abdallah, Guizani, Mohsen

“…The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil application domains, including real-time monitoring, providing wireless…”
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Unsupervised K-Means Clustering Algorithm by Sinaga, Kristina P., Yang, Miin-Shen

“…The k-means algorithm is generally the most known and used clustering method. There are various extensions of k-means to be proposed in the literature…”
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Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) by Adadi, Amina, Berrada, Mohammed

“…At the dawn of the fourth industrial revolution, we are witnessing a fast and widespread adoption of artificial intelligence (AI) in our daily life, which…”
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Deep Learning Approach for Intelligent Intrusion Detection System by Vinayakumar, R., Alazab, Mamoun, Soman, K. P., Poornachandran, Prabaharan, Al-Nemrat, Ameer, Venkatraman, Sitalakshmi

“…Machine learning techniques are being widely used to develop an intrusion detection system (IDS) for detecting and classifying cyberattacks at the…”
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Review of Deep Learning Algorithms and Architectures by Shrestha, Ajay, Mahmood, Ausif

“…Deep learning (DL) is playing an increasingly important role in our lives. It has already made a huge impact in areas such as cancer diagnosis, precision…”
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BadNets: Evaluating Backdooring Attacks on Deep Neural Networks by Gu, Tianyu, Liu, Kang, Dolan-Gavitt, Brendan, Garg, Siddharth

“…Deep learning-based techniques have achieved state-of-the-art performance on a wide variety of recognition and classification tasks. However, these networks…”
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A Survey of Deep Learning-Based Object Detection by Jiao, Licheng, Zhang, Fan, Liu, Fang, Yang, Shuyuan, Li, Lingling, Feng, Zhixi, Qu, Rong

“…Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in people's life, such as monitoring…”
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Contrastive Representation Learning: A Framework and Review by Le-Khac, Phuc H., Healy, Graham, Smeaton, Alan F.

“…Contrastive Learning has recently received interest due to its success in self-supervised representation learning in the computer vision domain. However, the…”
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