[PDF][PDF] Contextual embedding generation of underwater images using deep learning techniques
S Kerai, G Khekare - IAES Int J Artif Intell (IJ-AI), 2024 - researchgate.net
This article delves into the cutting-edge realm of artificial intelligence, specifically focusing
on its application in marine research via underwater image analysis. It introduces an …
on its application in marine research via underwater image analysis. It introduces an …
Intrusion detection in software defined network using deep learning approaches
MS Ataa, EE Sanad, RA El-Khoribi - Scientific Reports, 2024 - nature.com
Ensuring robust network security is crucial in the context of Software-Defined Networking
(SDN). Which, becomes a multi-billion dollar industry, and it's deployed in many data centers …
(SDN). Which, becomes a multi-billion dollar industry, and it's deployed in many data centers …
Enhancing Underwater Imagery Using Multicriteria Decision-Making with Machine Learning Techniques
G Khekare, S Kerai, AV Turukmane… - … Decision-Making and …, 2025 - taylorfrancis.com
This chapter focuses on the pivotal task of image enhancement as a foundational step in
underwater image captioning followed by underwater object detection for advanced marine …
underwater image captioning followed by underwater object detection for advanced marine …
[PDF][PDF] Research of the V2X Technology Organization Model for Self-Managed Technical Equipment
A Gubaidullin, O Manankova - technology, 2024 - saiconferences.com
The steady progression of information technology today is opening up opportunities for
extensive automation across various sectors, including the automotive industry. The active …
extensive automation across various sectors, including the automotive industry. The active …
Text Normalization and Summarization Using Advanced Natural Language Processing
G Khekare, C Masudi, YK Chukka… - … on Integrated Circuits …, 2024 - ieeexplore.ieee.org
Large quantities of data have been generated through various applications such as social
media, online platforms, etc., and analyzing these data requires a significant amount of time …
media, online platforms, etc., and analyzing these data requires a significant amount of time …
Classification and Detection of Brain Tumors in MRI Images Using Machine Learning Techniques
This research focused on utilizing machine learning techniques to detect and classify for the
identification of brain tumors in magnetic resonance images (MRI). The research aimed to …
identification of brain tumors in magnetic resonance images (MRI). The research aimed to …