Muhammad Talha Ubaid
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View article: SENTIMENT ANALYSIS OF MUSIC REVIEWS USING DEEP LEARNING:A BIDIRECTIONAL LSTM APPROACH
SENTIMENT ANALYSIS OF MUSIC REVIEWS USING DEEP LEARNING:A BIDIRECTIONAL LSTM APPROACH Open
This study looks at sentiment analysis of music reviews in depth using deep learning methods, specifically a bidirectional Long Short-Term Memory (BiLSTM) neural network architecture. The study looks at the expanding demand for automated s…
View article: A Hybrid Deep Learning Framework for Deepfake Detection Using Temporal and Spatial Features
A Hybrid Deep Learning Framework for Deepfake Detection Using Temporal and Spatial Features Open
The rise of deep-fake technology has sparked concerns as it blurs the distinction between fake media by harnessing Generative Adversarial Networks (GANs). This has raised issues surrounding privacy and security in the realm. This has led t…
View article: Precision Agriculture: Computer Vision-Enabled Sugarcane Plant Counting in the Tillering Phase
Precision Agriculture: Computer Vision-Enabled Sugarcane Plant Counting in the Tillering Phase Open
The world’s most significant yield by production quantity is sugarcane. It is the primary source for sugar, ethanol, chipboards, paper, barrages, and confectionery. Many people are affiliated with sugarcane production and their products ar…
View article: Interpretation of Expressions through Hand Signs Using Deep Learning Techniques
Interpretation of Expressions through Hand Signs Using Deep Learning Techniques Open
It is a challenging task to interpret sign language automatically, as it comprises high-level vision features to accurately understand and interpret the meaning of the signer or vice versa. In the current study, we automatically distinguis…
View article: Notice of Violation of IEEE Publication Principles: VVC/H.266 Intra Mode QTMT Based CU Partition Using CNN
Notice of Violation of IEEE Publication Principles: VVC/H.266 Intra Mode QTMT Based CU Partition Using CNN Open
The latest standard for video coding is versatile video coding (VVC) / H.266 which is developed by the joint video exploration team (JVET). Its coding structure is a multi-type tree (MTT) structure, which consists of two types of trees tha…