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Intelligent controller design and fault prediction using machine learning model
In a solar power plant, a solid phase transformer and an optimization coordinated controller
are utilized to improve transient responsiveness. Transient stability issues in a contemporary …
are utilized to improve transient responsiveness. Transient stability issues in a contemporary …
A review: Swarm robotics: Cooperative control in multi-agent systems
KVR Devi, BS Smitha, S Lakhanpal… - E3S Web of …, 2024 - e3s-conferences.org
Swarm robotics epitomizes a frontier in cooperative control within multi-agent systems,
where the emulation of biological swarms offers a paradigm shift in robotics. This paper …
where the emulation of biological swarms offers a paradigm shift in robotics. This paper …
Optimal facial feature based emotional recognition using deep learning algorithm
Humans have traditionally found it simple to identify emotions from facial expressions, but it
is far more difficult for a computer system to do the same. The social signal processing …
is far more difficult for a computer system to do the same. The social signal processing …
Analysis of skin cancer and patient healthcare using data mining techniques
Skin cancer is the uncontrolled growth of irregular cancer cells in the human‐skin's outer
layer. Skin cells commonly grow in an uneven pattern on exposed skin surfaces. The …
layer. Skin cells commonly grow in an uneven pattern on exposed skin surfaces. The …
Deep Learning for Anomaly Detection in Large-Scale Industrial Data
R Anuradha, B Swathi, A Nagpal… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Industrial data has increased significantly in the emerging data-driven age, and it often
contains abnormalities that could point to crucial system faults or inefficiencies. The …
contains abnormalities that could point to crucial system faults or inefficiencies. The …
Energy Auditing and Broken Path Identification for Routing in Large‐Scale Mobile Networks Using Machine Learning
In mobile computing, all nodes are movable nodes, which causes many problems for
transmitting data packets in a sequence manner; since the mobile nodes are connected with …
transmitting data packets in a sequence manner; since the mobile nodes are connected with …
Early diagnosis of tuberculosis using deep learning approach for IOT based healthcare applications
G Simi Margarat, G Hemalatha, A Mishra… - Computational …, 2022 - Wiley Online Library
In the modern world, Tuberculosis (TB) is regarded as a serious health issue with a high rate
of mortality. TB can be cured completely by early diagnosis. For achieving this, one tool …
of mortality. TB can be cured completely by early diagnosis. For achieving this, one tool …
Autonomous multi-sensor fusion techniques for environmental perception in self-driving vehicles
Assuming strong environmental awareness, the arrival of autonomous vehicles signals a
revolutionary age in transportation. In order for autonomous vehicles to have trustworthy …
revolutionary age in transportation. In order for autonomous vehicles to have trustworthy …
DEEP surveillance of brain cancer using self-functionalized 3D nanoprobes for noninvasive liquid biopsy
Brain cancers, one of the most fatal malignancies, require accurate diagnosis for guided
therapeutic intervention. However, conventional methods for brain cancer prognosis …
therapeutic intervention. However, conventional methods for brain cancer prognosis …
Unified approach for accurate brain tumor Multi-Classification and segmentation through fusion of advanced methodologies
This research introduces a unified approach for accurate brain tumor Multi-classification and
segmentation through the fusion of diverse yet complementary methodologies. Brain tumor …
segmentation through the fusion of diverse yet complementary methodologies. Brain tumor …