Revenue forecasting is a critical component of strategic planning and financial stability for Agritech platforms, particularly in a dynamic and often unpredictable market. Given the intricate nature of agricultural da...
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With the soaring adoption of cloud-constructed home automation systems with CAGR of 8.5% from 2023 to 2030, security and privacy concerns have become critical considerations. This paper examines the security risks in ...
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The proceedings contain 260 papers. The topics discussed include: a critical study on hybrid computing and its current influences and future challenges;daily updates on construction sites progress using artificial int...
ISBN:
(纸本)9798331515911
The proceedings contain 260 papers. The topics discussed include: a critical study on hybrid computing and its current influences and future challenges;daily updates on construction sites progress using artificial intelligence;green energy for smart cities: a review of research trends;smart ventilator for affordable health monitoring system;quantum dot-enhanced sodium-air batteries for unprecedented energy storage performance;intelligent question generator system using natural language processing;hybrid product recommendation system using popularity based and content-based filtering;high performance closed-loop control of a phase shifted full bridge converter for electric vehicle application;smart impact mitigation: intelligent speed and safety;face recognition attendance framework using quantum edge processing;and empowering communication: emergency hand recognition for the differently abled.
This research creates an NFC-inclusive website-based inventory management system that enhances tracking and management of stock. Scanning these tags allows users to obtain a specific product description without wastin...
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The rapid increase in urban vehicle numbers has significantly worsened traffic congestion, particularly in public parking spaces, where conventional parking systems often prove inefficient, leading to wasted time, exc...
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Serverless applications are based on Function-as-a-Service (FaaS) platforms where serverless functions interact with other cloud-specific services. The integration of these components is crucial for the application’s...
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With faster connection speeds, the new age of digital reality is facilitated by faster network technology. The result is a modern technology called the Internet of Things (IoT) that requires extensive internet connect...
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ISBN:
(纸本)9783031751691;9783031751707
With faster connection speeds, the new age of digital reality is facilitated by faster network technology. The result is a modern technology called the Internet of Things (IoT) that requires extensive internet connectivity to operate. Compared to previous technological advances, the frequency of outrageous 5G requests is increasing, resulting in transfer speeds of up to 20 Gbps and capacity that can be increased a thousand-fold. With 5G you get extremely dense network support, high reliability, and maximum security. This makes producing new, advanced products more cost-effective. A 5G network provides a broad foundation for future ventures, including the Internet of Things, AI, and other cutting-edge technologies The performance of IoT networks has been analyzed in terms of the amplitude of received signal over symbol index.
Emotion recognition based on physiological signals has become a crucial area of research in affective computing and human-computer interaction, with applications in smart homes, workplaces, educational institutions, h...
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ISBN:
(纸本)9791188428137
Emotion recognition based on physiological signals has become a crucial area of research in affective computing and human-computer interaction, with applications in smart homes, workplaces, educational institutions, healthcare, and entertainment. In this study, a real-time emotion recognition system utilizing fog computing architecture was developed by considering the challenges of latency, total response time, resource usage, and security in IoT environments. The random forest machine learning model was trained with time-based statistical features by using the DREAMER dataset. Even though the model achieved an accuracy of 84.21% with 104 features, to meet real-time performance requirements, the system was optimized to calculate 24 features, maintaining a commendable accuracy of 79.70%. Extensive experiments demonstrated the superior performance of fog computing compared to edge and cloud computing in terms of latency, queuing delay, jitter, and most importantly total response time. The results highlight the proposed system's ability to support multiple users simultaneously. Copyright 2025 Global IT Research Institute (GIRI). All rights reserved.
The Real-Time Traffic Prediction and Optimization System may be described as enriched, spacious, algorithm-oriented, and designed to help contribute to the anti-symptomatic deprievement of increasingly congested urban...
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Formula One motor-sport is a sport that attracts millions of people worldwide, and performance is influenced by a synergy of drivers, constructors, and engines. The identification of the best-performing constructors i...
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