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PatternIQ Mining (PIQM)

Published by Sahara Digital Publication  •  eISSN: 3006-8894

Current Issue

Volume 1, Issue 4 - 2024

Original Research
Machine Learning Algorithms for Emotion Recognition Using Audio and Text Data

Authors Details: Reem Al Ameen and Layla Al Maktoum

Abstract: Over the years, emotion recognition has become one of the cornerstones of affective computing, enabling machines to recognize and be responsive to human emotions. The current study will present approaches to accurately classify emotions by exploiting multimodal data, namely audio and text. Challenge more...

213 178
DOI: 10.70023/sahd/241101
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Original Research
Real-Time Algorithms for Gesture-Based Control in Robotics and Gaming Systems

Authors Details: Syed Imran Hafiz and Wong Kai Ming

Abstract: A natural way for humans to connect with computers is through gestures, which have many applications in robotics and gaming. Despite this, problems with latency, precision, and adaptability in handling dynamic movements make real-time implementation difficult. In dynamic settings like gaming or robo more...

203 184
DOI: 10.70023/sahd/241102
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Original Research
Zero-Shot Learning Algorithms for Object Recognition in Medical and Navigation Applications

Authors Details: Sangeeta Nair and Arvind Kumar

Abstract: One category-invariant methodology for object identification is zero-shot learning (ZSL), which uses semantic embeddings to categorize unseen categories. The ZSL method is indispensable in fields where data is scarce, including medical diagnosis and navigation. This paper proposes an Improved ZSL (I more...

217 180
DOI: 10.70023/sahd/241103
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Original Research
Federated And Multi-Modal Learning Algorithms for Healthcare and Cross-Domain Analytics

Authors Details: Ms. T. UMMAL SARIBA BEGUM

Abstract: The rapid growth of healthcare data has come with a surge in demand for privacy-preserving cross-domain analytics, hence the development of Federated Hybrid Multi-Modal Analytics (FH-MMA). This advanced framework safely and efficiently provides deep insights through multi-modal integration using fed more...

130 124
DOI: 10.70023/sahd/241104
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Original Research
Deep Learning Algorithms for Multimodal Interaction Using Speech and Motion Data in Virtual Reality Systems

Authors Details: Ahmed Zubair and Fatima Al Rashed

Abstract: Multimodal interaction (MMI) represented by speech and motion data (SMD) has enormous potential in virtual reality (VR) systems. However, real-time synchronization, context-sensitive interpretation, and effective fusion of heterogeneous data modalities remain open. The study presents a deep learning more...

203 179
DOI: 10.70023/sahd/241105
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Original Research
Meta-Learning Approaches for Context-Aware Decision Support in Smart Agriculture and Autonomous Systems

Authors Details: Zainab Binti Hassan and Haris Mohd Yusof

Abstract: The increasing reliance on intelligent systems in agriculture and autonomous operations dictates the need for robust context-aware decision support systems (CADSS) to cope with heterogeneous and changing conditions. Conventional systems struggle with heterogeneous data and dynamic contexts, motivati more...

226 169
DOI: 10.70023/sahd/241106
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