White Spot Syndrome Detection in Shrimp using Neural Network Model
K Vembarasi, VP Thotakura… - … on Computing for …, 2024 - ieeexplore.ieee.org
White Spot Syndrome Virus (WSSV) epidemics have seriously harmed penaeid shrimp
aquaculture all over the world. There remains an absence of information concerning these …
aquaculture all over the world. There remains an absence of information concerning these …
Enhancing facial geometry analysis by DeepFaceLandmark leveraging ResNet101 and transfer learning
The face recognition is the pivotal component in the surveillance system. To
comprehensively assess facial structures, acquiring facial features becomes indispensable …
comprehensively assess facial structures, acquiring facial features becomes indispensable …
Performance Comparison of MANETs under Congestion and Packet Loss using Distance based Geographic Routing Protocols
T Ganesan, N Murali, K Manojkumar… - … on Computing for …, 2024 - ieeexplore.ieee.org
The performance of Mobile Ad-Hoc Networks (MANETs) can be verified based on number of
input packets and life time of protocol requirements. Distance based geographic routing …
input packets and life time of protocol requirements. Distance based geographic routing …
Comparison of Distributed Key and Access Management for Wireless Ad Hoc Network
SN Devi, ES Lakshmi, A Shiny… - 2024 11th International …, 2024 - ieeexplore.ieee.org
A remote organization comprises of the many organization geographies that are broadly
circulated, associated by moving hubs alluded to as portable hubs. Transfer innovation is …
circulated, associated by moving hubs alluded to as portable hubs. Transfer innovation is …
Explainability and Utility with Pose in Instance Segmentation Algorithms: Flow visualisations for interpreting segmentation in medical imaging
A Bahuguna - 2024 - diva-portal.org
Usage of artificial intelligence techniques in medical contexts necessitates their
explainability to achieve reliability and trust. Visual explanations for how computer vision …
explainability to achieve reliability and trust. Visual explanations for how computer vision …