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[HTML][HTML] Advancements in deep learning techniques for brain tumor segmentation: a survey
The escalating incidence of accurate detection of brain tumors within the discipline of neuro-
oncology underscores the pressing demand for enhanced diagnostic methodologies. The …
oncology underscores the pressing demand for enhanced diagnostic methodologies. The …
Ultra-Wideband Mutual RFI Mitigation Between SAR Satellites: From the Perspective of European Sentinel-1A
N Li, X Hu - IEEE Transactions on Geoscience and Remote …, 2024 - ieeexplore.ieee.org
In the data processing of spaceborne synthetic aperture radar (SAR), radio frequency
interference (RFI) will seriously affect amplitude, phase, and other information, thereby …
interference (RFI) will seriously affect amplitude, phase, and other information, thereby …
[HTML][HTML] Offloading computational tasks for MIMO-NOMA in mobile edge computing utilizing a hybrid Pufferfish and Osprey optimization algorithm
J MidhulaSri, CV Ravikumar - Ain Shams Engineering Journal, 2024 - Elsevier
One of the promising technologies to minimize computing delay and task offloading is
Mobile Edge Computing (MEC), which enables mobile devices to offload high computational …
Mobile Edge Computing (MEC), which enables mobile devices to offload high computational …
[HTML][HTML] Improved migration algorithms for uplink transmission secrecy sum rate maximization in MIMO-NOMA
P Vineela, CV RaviKumar - Results in Engineering, 2024 - Elsevier
The most significant technology that could assist future high-speed wireless systems in
meeting their growing capacity demands is Non-Orthogonal Multiple Access (NOMA) …
meeting their growing capacity demands is Non-Orthogonal Multiple Access (NOMA) …
SPBTGNS: Design of an Efficient Model for Survival Prediction in Brain Tumour Patients using Generative Adversarial Network with Neural Architectural Search …
The landscape of medical imaging, particularly in brain tumor analysis and survival
prediction, necessitates advancements due to the inherent complexities and life-threatening …
prediction, necessitates advancements due to the inherent complexities and life-threatening …
Advancements in brain tumor analysis: a comprehensive review of machine learning, hybrid deep learning, and transfer learning approaches for MRI-based …
Brain tumors, whether cancerous or noncancerous, can be life-threatening due to abnormal
cell growth, potentially causing organ dysfunction and mortality in adults. Brain tumor …
cell growth, potentially causing organ dysfunction and mortality in adults. Brain tumor …
[HTML][HTML] Energy-efficient unequal multi-level clustering for underwater wireless sensor networks
S Kumar, R Chinthaginjala, S Ahmad, T Kim - Alexandria Engineering …, 2025 - Elsevier
Abstract Underwater Wireless Sensor Networks (UWSNs) have emerged as a critical piece
of technology for a wide range of maritime applications, including environmental monitoring …
of technology for a wide range of maritime applications, including environmental monitoring …
Boosting skin cancer diagnosis accuracy with ensemble approach
Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential.
Effective therapy depends on precise classification of the several skin cancer forms, each …
Effective therapy depends on precise classification of the several skin cancer forms, each …
Design and Analysis of Piezoelectric Energy Harvester for Wireless Sensor Networks
CV Ravikumar, K Sathish, C Su - … Conference on Data Security and Privacy …, 2024 - Springer
The design and study of piezoelectric energy harvesters for wireless sensor networks
(WSNs) includes the creation of effective energy solutions to increase the operating life of …
(WSNs) includes the creation of effective energy solutions to increase the operating life of …
Class-aware feature attention-based semantic segmentation on hyperspectral images
P Sevugan, V Rudhrakoti, T Kim, M Gunasekaran… - PloS one, 2025 - journals.plos.org
This research explores an innovative approach to segment hyperspectral images. Aclass-
aware feature-based attention approach is combined with an enhanced attention-based …
aware feature-based attention approach is combined with an enhanced attention-based …