Results 21 to 30 of about 152,557 (59)

A Comprehensive Mutable Analytics Approach to Distinguish Sensor Data on the Internet of Underwater Things

IEEE Access
Accessibility to networks of communication and sensing equipment situated beneath the surface of vast bodies of water is made possible by the Internet of Underwater Things (IoUT).
Mohammed Albekairi
doaj   +1 more source

Blockchain-Based Trust and Authentication Model for Detecting and Isolating Malicious Nodes in Flying Ad Hoc Networks

IEEE Access
Flying Ad Hoc Networks (FANET) is an emerging area of research due to its low cost, high coverage and fast transmission features. In these networks, the flying nodes are connected with ground stations and communicate wirelessly, especially when the ...
Kashif Naseer Qureshi, Hanaa Nafea, Ibrahim Tariq Javed, Kayhan Zrar Ghafoor   +3 more
doaj   +1 more source

Enhanced Image-Based Malware Classification Using Snake Optimization Algorithm With Deep Convolutional Neural Network

IEEE Access
Malware is a malicious software intended to cause damage to computer systems. In recent times, significant proliferation of malware utilized for illegal and malicious goals has been recorded.
Salahaldeen Duraibi
doaj   +1 more source

Exploration of Offshore Drilling for Oil and Gas Operations Based on the Probabilistic Linguistic Dombi Aggregation Decision Model

IEEE Access
This study focuses on optimizing offshore drilling operations through Multi-Criteria Decision-Making (MCDM). It recognizes MCDM as a crucial framework for evaluating alternatives in the complex offshore drilling landscape.
Qazi Adnan Ahmad, Shahzaib Ashraf, Tooba Shahid, M. Shazib Hameed, Ma Li Qiang   +4 more
doaj   +1 more source

Future 6G Communications Powering Vertical Handover in Non-Terrestrial Networks

IEEE Access
The integration of Unmanned Aerial Vehicles (UAVs) into future 6G networks will open new possibilities for applications ranging from surveillance to communication infrastructure maintenance, precision agriculture, and surveying.
Anirudh Warrier, Lamees Aljaburi, Huw Whitworth, Saba Al-Rubaye, Antonios Tsourdos   +4 more
doaj   +1 more source

Enhancing Household Energy Consumption Predictions Through Explainable AI Frameworks

IEEE Access
Effective energy management is crucial for sustainability, carbon reduction, resource conservation, and cost savings. However, conventional energy forecasting methods often lack accuracy, suggesting the need for advanced approaches.
Aakash Bhandary, Vruti Dobariya, Gokul Yenduri, Rutvij H. Jhaveri, Saikat Gochhait, Francesco Benedetto   +5 more
doaj   +1 more source

Deep Learning in Leaf Disease Detection (2014–2024): A Visualization-Based Bibliometric Analysis

IEEE Access
The agriculture industry is critical to delivering high-quality food and contributes significantly to the growth of economies and people which can be affected by the plant disease.
Jyotismita Chaki, Dibyajyoti Ghosh
doaj   +1 more source

Scaling Up Multi-Agent Reinforcement Learning: An Extensive Survey on Scalability Issues

IEEE Access
Multi-agent learning has made significant strides in recent years. Benefiting from deep learning, multi-agent deep reinforcement learning (MADRL) has transcended traditional limitations seen in tabular tasks, arousing tremendous research interest ...
Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Wen Gu, Shohei Kato   +5 more
doaj   +1 more source

Multi-Scale Hybrid Attention Convolutional Neural Network for Automatic Segmentation of Lumbar Vertebrae From MRI

IEEE Access
Due to the high incidence of lumbar vertebral lesions causing spondylolisthesis and intervertebral disc protrusion, lumbar spine (vertebrae and intervertebral discs) MRI image segmentation can provide effective clinical information for the initial ...
Jing Liu, Yuee Zhou, Xinxin Cui, Fengqing Jin, Guodong Suo, Hao Xu, Jianlan Yang   +6 more
doaj   +1 more source

The Digital Reform of Japanese Classroom Teaching Modes Under the Graph Convolutional Neural Network

IEEE Access
This work aims to explore reform methods for Japanese classroom teaching modes in an informationized environment. Addressing issues such as monotonous classroom content and low student engagement in traditional teaching, this work introduces deep ...
Gongyi Jiang, Weijun Gao, Mingjia Tong
doaj   +1 more source