Výsledky vyhledávání - "Ahmad, Khubaib"

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CWD30: A Comprehensive and Holistic Dataset for Crop Weed Recognition in Precision Agriculture

Autor: Ilyas, Talha, Arsa, Dewa Made Sri, Ahmad, Khubaib, Jeong, Yong Chae, Won, Okjae, Lee, Jong Hoon, Kim, Hyongsuk

The growing demand for precision agriculture necessitates efficient and accurate crop-weed recognition and classification systems. Current datasets often lack the sample size, diversity, and hierarchical structure needed to develop robust deep learni

Externí odkaz: http://arxiv.org/abs/2305.10084

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A Late Fusion Framework with Multiple Optimization Methods for Media Interestingness

Autor: Shoukat, Maria, Ahmad, Khubaib, Said, Naina, Ahmad, Nasir, Hassanuzaman, Mohammed, Ahmad, Kashif

The recent advancement in Multimedia Analytical, Computer Vision (CV), and Artificial Intelligence (AI) algorithms resulted in several interesting tools allowing an automatic analysis and retrieval of multimedia content of users' interests. However,

Externí odkaz: http://arxiv.org/abs/2207.04762

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Social Media as an Instant Source of Feedback on Water Quality

Autor: Ahmad, Khubaib, Ayub, Muhammad Asif, Ahmad, Kashif, Khan, Jebran, Ahmad, Nasir, Al-Fuqaha, Ala

This paper focuses on an important environmental challenge; namely, water quality by analyzing the potential of social media as an immediate source of feedback. The main goal of the work is to automatically analyze and retrieve social media posts rel

Externí odkaz: http://arxiv.org/abs/2202.04462

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NLP Techniques for Water Quality Analysis in Social Media Content

Autor: Ayub, Muhammad Asif, Ahmad, Khubaib, Ahmad, Kashif, Ahmad, Nasir, Al-Fuqaha, Ala

This paper presents our contributions to the MediaEval 2021 task namely "WaterMM: Water Quality in Social Multimedia". The task aims at analyzing social media posts relevant to water quality with particular focus on the aspects like watercolor, smell

Externí odkaz: http://arxiv.org/abs/2112.11441

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Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content

Autor: Ahmad, Khubaib, Ayub, Muhammad Asif, Ahmad, Kashif, Al-Fuqaha, Ala, Ahmad, Nasir

This paper presents a solutions for the MediaEval 2021 task namely "Visual Sentiment Analysis: A Natural Disaster Use-case". The task aims to extract and classify sentiments perceived by viewers and the emotional message conveyed by natural disaster-

Externí odkaz: http://arxiv.org/abs/2112.12060

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