Optimal scheduling of demand side load management of smart grid considering energy efficiency
S Balouch, M Abrar, H Abdul Muqeet… - Frontiers in Energy …, 2022 - frontiersin.org
The purpose of this research is to provide power grid energy efficiency solutions. In this
paper, a comprehensive review and its optimal solution is proposed considering the various …
paper, a comprehensive review and its optimal solution is proposed considering the various …
Accurate detection of brain tumor using optimized feature selection based on deep learning techniques
PK Ramtekkar, A Pandey, MK Pawar - Multimedia Tools and Applications, 2023 - Springer
An unusual increase of nerves inside the brain, which disturbs the actual working of the
brain, is called a brain tumor. It has led to the death of lots of lives. To save people from this …
brain, is called a brain tumor. It has led to the death of lots of lives. To save people from this …
Innovative brain tumor detection using optimized deep learning techniques
PK Ramtekkar, A Pandey, MK Pawar - International Journal of System …, 2023 - Springer
An unusual increase of nerves inside the brain, which disturbs the actual working of the
brain, is called a brain tumor. It has led to the death of lots of lives. To save people from this …
brain, is called a brain tumor. It has led to the death of lots of lives. To save people from this …
Multi-input Unet model based on the integrated block and the aggregation connection for MRI brain tumor segmentation
L Fang, X Wang - Biomedical Signal Processing and Control, 2023 - Elsevier
With the growth of data information and the development of computer equipment, it is
extremely time-consuming and laborious to rely on the traditional manual segmentation of …
extremely time-consuming and laborious to rely on the traditional manual segmentation of …
WSSOA: whale social spider optimization algorithm for brain tumor classification using deep learning technique
Brain tumors can have detrimental effects on brain function and pose a serious threat to life.
Detecting and treating brain tumors early is vital for saving lives. However, identifying tumor …
Detecting and treating brain tumors early is vital for saving lives. However, identifying tumor …
A two-step approach for classification in Alzheimer's disease
The classification of images is of high importance in medicine. In this sense, Deep learning
methodologies show excellent performance with regard to accuracy. The drawback of these …
methodologies show excellent performance with regard to accuracy. The drawback of these …
Optimized Convolutional Neural Network for Deregulated Congestion Management
D Bosupally, V Muniyamuthu… - … Conference on Circuit …, 2023 - ieeexplore.ieee.org
Congestion in power systems primarily caused by deregulation of the power system and
rising electricity consumption. Grid congestion occurrences are possible due to increased …
rising electricity consumption. Grid congestion occurrences are possible due to increased …
A robust genetic algorithm-based optimal feature predictor model for brain tumour classification from MRI data
M Thayumanavan, A Ramasamy - Network: Computation in Neural …, 2024 - Taylor & Francis
Brain tumour can be cured if it is initially screened and given timely treatment to the patients.
This proposed idea suggests a transform-and windowing-based optimization strategy for …
This proposed idea suggests a transform-and windowing-based optimization strategy for …
Optimized brain tumor analysis in FLAIR-MRI LGG images: leveraging transfer learning and optimization for enhanced diagnosis and localization
This research endeavour conducts a comprehensive exploration of an efficient approach for
categorizing and delineating brain tumors in fluid-attenuated inversion recovery magnetic …
categorizing and delineating brain tumors in fluid-attenuated inversion recovery magnetic …
[PDF][PDF] EDGE ENHANCE SPARSE DEEP AUTO ENCODER MODEL FOR HIGH-ACCURACY BRAIN TUMOR DETECTION IN MRI IMAGES
S JAGA, KR DEVI - Journal of Theoretical and Applied Information …, 2024 - jatit.org
Brain tumors are among the most lethal cancerous diseases, with their severity making them
a leading cause of cancer-related deaths. The treatment of brain tumors depends on the …
a leading cause of cancer-related deaths. The treatment of brain tumors depends on the …