Suchergebnisse - "IEEE access"

A Metaverse: Taxonomy, Components, Applications, and Open Challenges von 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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A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges von Raiaan, Mohaimenul Azam Khan, Mukta, Md. Saddam Hossain, Fatema, Kaniz, Fahad, Nur Mohammad, Sakib, Sadman, Mim, Most. Marufatul Jannat, Ahmad, Jubaer, Ali, Mohammed Eunus, Azam, Sami

“… Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), language translation, text …”
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Particle Swarm Optimization: A Comprehensive Survey von 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 von 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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A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects von Mienye, Ibomoiye Domor, Sun, Yanxia

“… Ensemble learning techniques have achieved state-of-the-art performance in diverse machine learning applications by combining the predictions from two or more …”
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Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning von Ferrag, Mohamed Amine, Friha, Othmane, Hamouda, Djallel, Maglaras, Leandros, Janicke, Helge

“… In this paper, we propose a new comprehensive realistic cyber security dataset of IoT and IIoT applications, called Edge-IIoTset, which can be used by machine …”
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GPT (Generative Pre-Trained Transformer)- A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions von Yenduri, Gokul, Ramalingam, M., Selvi, G. Chemmalar, Supriya, Y., Srivastava, Gautam, Maddikunta, Praveen Kumar Reddy, Raj, G. Deepti, Jhaveri, Rutvij H., Prabadevi, B., Wang, Weizheng, Vasilakos, Athanasios V., Gadekallu, Thippa Reddy

“… The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the …”
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Artificial Intelligence in Education: A Review von Chen, Lijia, Chen, Pingping, Lin, Zhijian

“… The purpose of this study was to assess the impact of Artificial Intelligence (AI) on education. Premised on a narrative and framework for assessing AI …”
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A Survey of Autonomous Driving: Common Practices and Emerging Technologies von 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 von 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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Digital Twin: Enabling Technologies, Challenges and Open Research von 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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Unsupervised K-Means Clustering Algorithm von 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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Digital Twin: Values, Challenges and Enablers From a Modeling Perspective von 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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Can AI Help in Screening Viral and COVID-19 Pneumonia? von 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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YOLOv1 to v8: Unveiling Each Variant-A Comprehensive Review of YOLO von Hussain, Muhammad

“… This paper implements a systematic methodological approach to review the evolution of YOLO variants. Each variant is dissected by examining its internal …”
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Machine Learning Operations (MLOps): Overview, Definition, and Architecture von Kreuzberger, Dominik, Kuhl, Niklas, Hirschl, Sebastian

“… The final goal of all industrial machine learning (ML) projects is to develop ML products and rapidly bring them into production. However, it is highly …”
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Exploring Students' Perceptions of ChatGPT: Thematic Analysis and Follow-Up Survey von Shoufan, Abdulhadi

“… ChatGPT has sparked both excitement and skepticism in education. To analyze its impact on teaching and learning it is crucial to understand how students …”
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A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems von Verma, Shanu, Pant, Millie, Snasel, Vaclav

“… This paper provides an extensive review of the popular multi-objective optimization algorithm NSGA-II for selected combinatorial optimization problems viz …”
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Plant Disease Detection and Classification by Deep Learning-A Review von Li, Lili, Zhang, Shujuan, Wang, Bin

“… Deep learning is a branch of artificial intelligence. In recent years, with the advantages of automatic learning and feature extraction, it has been widely …”
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Zebra Optimization Algorithm: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm von Trojovska, Eva, Dehghani, Mohammad, Trojovsky, Pavel

“… In this paper, a new bio-inspired metaheuristic algorithm called Zebra Optimization Algorithm (ZOA) is developed; its fundamental inspiration is the behavior …”
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