We study a dilute suspension of magnetic nanoparticles in a nematic-filled channel and how the spatial magnetization M, can be tailored by the nematic anisotropy. We study the spatial configurations as stable critical points of...
We study a dilute suspension of magnetic nanoparticles in a nematic-filled channel and how the spatial magnetization M, can be tailored by the nematic anisotropy. We study the spatial configurations as stable critical points of...
The present work uses flutter and transfer learning-based techniques for predicting the shelf-life of fruits in real-time by reducing the demand for huge number of samples and longer training durations. The work uses mango fruit...
This study aims to classify folk paper-cut patterns by regional culture, leveraging Semantic Web and LSTM technologies to discern how these patterns reflect distinct cultural characteristics. By developing an LSTM model capable...
Aim:- To assess and compare the safety and effectiveness of Manual Vacuum Aspiration (MVA) and Suction Evacuation (SE) for first trimester abortion.
Objective:- For first trimester abortion MVA and SE are used and aim of...
Aim:- To assess and compare the safety and effectiveness of Manual Vacuum Aspiration (MVA) and Suction Evacuation (SE) for first trimester abortion.
Objective:- For first trimester abortion MVA and SE are used and aim of...
This research aims to examine the effect of social media influencer endorsements on brand attitude. Further, this research investigates the mediation effect of attitude towards endorsement on brand attitude. Based on previous...
According to the World Health Organization, more than 2 billion people in the world are latently infected with Mycobacterium tuberculosis.The goal of testing for latent Mycobacterium tuberculosis infection is to identify persons...
This article presents a comprehensive analysis of the application and effect of ChatGPT, an advanced AI chatbot model, on global information management across various industries such as healthcare, industry, education, and more....
Accurate lane detection is crucial for the safety and reliability of multi-lane automated driving, where the complexity of traffic scenarios is significantly heightened. Leveraging the semantic segmentation capabilities of deep...
The implementation of industrial robots across various sectors has ushered in unparalleled advancements in efficiency, productivity, and safety. This paper explores the domain of semantic trajectory planning in the area of...
This paper delves into the dynamic intersection of athletic psychology and emerging technologies, aiming to understand their interplay and implications for sports performance. The study examines the latest research and...
Applying sharding protocol to address scalability challenges in alliance chain is popular. However, inevitable cross-shard transactions significantly hamper performance even at low ratios, negating scalability benefits when they...
This paper proposes a hierarchical framework for industrial Internet device authentication and trusted access as well as a mechanism for industrial security state perception, and designs a cross-domain authentication scheme for...
According to the World Health Organization, more than 2 billion people in the world are latently infected with Mycobacterium tuberculosis.The goal of testing for latent Mycobacterium tuberculosis infection is to identify persons...
The danger of distributed denial of service (DDoS) attacks has grown in tandem with the proliferation of intelligent information systems. Because of the sheer volume of connected devices, constantly shifting network...
The facility allocation of the supply chain is critical since it directly influences cost efficiency, customer service, supply chain responsiveness, risk reduction, network optimization, and overall competitiveness. When...
Virtual worlds are progressing toward a holistic abstraction of the metaverse. While there is abundant literature and synthesis on virtual worlds and related constructs, the linkages between above scholarly work and the...
Scheduling large-scale and resource-intensive workflows in cloud infrastructure is one of the main challenges for cloud service providers (CSPs). Cloud infrastructure is more efficient when virtual machines and other resources...
The advent of the metaverse has revolutionized virtual interactions and navigation, introducing intricate access control challenges. This paper addresses the need for effective access control models in the cloud-based metaverse....
Integrating virtual reality (VR) and augmented reality (AR) technology into online stores enables more immersive and engaging shopping experiences, which is crucial for businesses to succeed in today's competitive e-commerce...
The emergence of the metaverse, a virtual reality space, has ushered in a new era of digital experiences and interactions in global information systems. With its unique social norms and behaviors, this new world presents...
Machine learning and deep learning are one of the most sought-after areas in computer science which are finding tremendous applications ranging from elementary education to genetic and space engineering. The applications of...
Understanding the growth paths of artificial intelligence (AI) and its impact on branding is extremely pertinent of technology-driven marketing. This explorative research covers a complete bibliometric analysis of the impact of...
Deep learning (DL) can provide critical infrastructure operators with valuable insights and predictive capabilities to help them make more informed decisions, improving system's robustness. However, training DL models requires...