2025 · 10 articles
Original Research Pages 1–12
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 t...
Original Research Pages 13–23
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. Thes...
Original Research Pages 24–35
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,...
Original Research Pages 36–46
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 i...
Original Research Pages 47–58
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...
Original Research Pages 59–71
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 pe...
Original Research Pages 85–96
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,...
Original Research Pages 97–107
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...
Original Research Pages 108–118
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 classificatio...
