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PatternIQ Mining (PIQM)

Published by Sahara Digital Publication  •  eISSN: 3006-8894

Current Issue

Volume 2, Issue 1 - 2025

Original Research
Designing Accessible Virtual Reality Interfaces Using Reinforcement Learning for Users with Motor and Sensory Impairments

Authors Details: Hazza Bin Ahmed and Mohammad alzuoubi

Abstract: Virtual Reality (VR) technologies offer immersive experiences with education, healthcare, and entertainment applications. However, accessibility for people with motor and sensory impairments is limited, often creating barriers to equal participation. Traditional interfaces lack the flexibility to ha more...

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DOI: 10.70023/sahd/250201
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Original Research
IoT-Integrated AI Framework Using Genetic Algorithms for Waste Management in Smart Campuses

Authors Details: Odai nawafleh and Mehak vasta

Abstract: Effective waste management is critical in developing smart campuses, prioritising sustainability and operational efficiency. Traditional methods often face inefficiencies such as poorly optimized collection routes, inadequate bin placement, and delayed responses to overflow. These limitations increa more...

68 39
DOI: 10.70023/sahd/250202
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Original Research
Enhancing Object Detection in Autonomous Vehicles Using Hybrid Convolutional Neural Networks and Transformer Models

Authors Details: Khalil aljamal and Osama shannaq

Abstract: Autonomous vehicles (AVs) depend on precise and efficient object detection (OD) for safe navigation in complex and dynamic environments. Traditional Convolutional Neural Networks (CNNs) excel at extracting local features but face limitations in capturing long-range dependencies, leading to challenge more...

68 41
DOI: 10.70023/sahd/250203
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Original Research
Enhancing E-commerce Supply Chains with Time-Series Forecasting Using Long Short-Term Memory (LSTM) Networks

Authors Details: Muhtade Mustafa Aqil and Faiqah fauzi

Abstract: E-commerce supply chains function in ever-changing settings, requiring precise demand forecasting to ensure efficient operations, reduce costs, and improve customer satisfaction. Traditional forecasting methods often fail to capture non-linear patterns and temporal dependencies inherent in time-seri more...

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DOI: 10.70023/sahd/250204
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Original Research
Swarm Robotics Optimization Using Deep Q-Learning for Cooperative Search and Rescue Missions

Authors Details: Abdallah jarrah and Ghadeer abu asfar

Abstract: Advancements in technology, including the Internet of Things (IoT) and Artificial Intelligence (AI), greatly impact agriculture. The study investigates the statistical applications of AI-driven robotic devices based on the IoT as a basic emphasis. Using manual effort and chemical fertilizers, tradit more...

109 80
DOI: 10.70023/sahd/250205
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Original Research
Cluster-Based Traffic Management for Optimizing Urban Congestion Using Unsupervised Learning on Real-Time Data Streams

Authors Details: Moath Alshorman and Saif taleb

Abstract: Congestion, defined as delays and bottlenecks in traffic due to an excess of vehicles on the road and inadequate infrastructure, is an increasingly pressing issue in today's cities around the globe. Congestion in urban areas is still a significant problem that severely affects people's lives more...

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DOI: 10.70023/sahd/250206
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Original Research
Intelligence Quotient insights through pattern mining Leveraging Tensor Factorization Techniques for personalized Education and Adaptive Learning Systems

Authors Details: Rasha sakhnini and Alexey vinokurov

Abstract:

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DOI: 10.70023/sahd/250207
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Original Research
Dynamic Pattern Analysis for Enhanced Predictive Intelligence in Smart Environments Using Transformer Learning Models

Authors Details: Mohammad ameid alkato and Nekita kalenen

Abstract: Sophisticated prediction models are needed in intelligent settings to improve system efficiency, security, and customer satisfaction. This study on transformer-based time-lapse forecasting models for intelligent prediction covers numerous occurrences, including energy management, enhanced assistance more...

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DOI: 10.70023/sahd/250208
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Original Research
Advanced Real-Time Anomaly Detection and Predictive Trend Modelling in Smart Systems using Deep Belief Networks Architectures

Authors Details: Amro ameid alkato and Yara sakhnin

Abstract: Intelligent systems are becoming more data-intensive and complicated, so it's essential to have reliable methods to recognize anomalies immediately and monitor trends to keep the system running well. The present research delves into using the DeepSense Framework, built up on top of Deep Belief N more...

56 46
DOI: 10.70023/sahd/250209
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Original Research
Efficient Extraction of Patterns in High-Dimensional Data through Tensor Decomposition Techniques

Authors Details: Ahmed emjalli and Maisaa Mahasneh

Abstract: Analyzing big data sets can be difficult due to their intricate patterns and concealed connections.to decrease complexity while retaining essential details necessary for identifying significant trends from this data type. The precision for pattern identification and classification in data with many more...

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DOI: 10.70023/sahd/250210
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