In today’s era, smartphones are used in daily lives because they are ubiquitous and can be customized by installing third-party apps. As a result, the menaces because of these apps, which are potentially risky for u...
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The paper addresses the critical problem of application workflow offloading in a fog environment. Resource constrained mobile and Internet of Things devices may not possess specialized hardware to run complex workflow...
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This study examines the use of experimental designs, specifically full and fractional factorial designs, for predicting Alzheimer’s disease with fewer variables. The full factorial design systematically investigates ...
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The swift pace of industrialization in the modern world has intensified the global energy crisis while exacerbating the challenges of water pollution, posing significant threats to the environmental sustainabilit...
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The advancement of smart cities and IoT technologies poses challenges such as the need for eco-friendly solutions and efficient data collection and communication in these environments. The objective is to propose a ne...
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A network of CNTs embedded on a dielectric substrate is used to transmit two laser beams with frequencies ω1 and ω2 and wave vectors k1 and k2 respectively. These laser pulses cause a localized plasma to develop whe...
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The paper presents a novel framework for optimizing LoRaWAN gateway placement to enhance network performance and reliability. By integrating Network Time Protocol (NTP) for global synchronization and Precision Time Pr...
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Measurement of energy consumption is an important part of the embedded and IoT system designing. Most of these systems are battery operated or have limited power resources, so to design power efficient systems it is i...
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The purpose of the study is to determine and examine the factors of attitude and intention to use AI-enabled chatbots in the Indian banking sector by extending the technology acceptance model (TAM). Chatbots are relat...
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Artificial intelligence (AI) often lacks cultural diversity with limited representation of non-Western contexts which results in biased outputs. Addressing this gap, this paper presents a deep learning-based image cap...
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