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857 articles for “scalability”
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Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 Read article
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Traffic Density Estimation Using Image Frames in Python
Abstract: Traffic congestion is a critical challenge in modern urban environments, leading to significant delays, environmental pollution, and increased accident rates. With the rapid growth of vehicle populations in metropolitan areas worldwide, the need for intelligent and automated traffic monitoring systems has become increasingly urgent. Traditional monitoring approaches, such as inductive loop detectors and manual surveillance, are limited in scalability, deployment cost, and adaptability to dynamic traffic scenarios. This paper presents …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 38–45 Read article
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Intelligent Paradigms in Subsea Connectivity: A Comprehensive Review of Artificial Intelligence in Underwater Communications
Abstract: Underwater wireless communication (UWC) plays a critical role in ocean exploration, environmental monitoring, offshore energy operations, disaster management, and naval defense. However, the underwater environment presents significant communication challenges, including severe signal attenuation, multipath propagation, Doppler effects, limited bandwidth, high latency, and energy constraints. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions to address these limitations and enhance the efficiency, reliability, and adaptability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Efficient Design and Optimization of Cloud-Native Backend Services for Full-Stack Web Applications
Abstract: The fast development of cloud computing has immensely altered architectural outlays of the current full stack web applications. Conventional monolithic back-end systems tend to have a lack of scalability, complex deployment, and wasted resources. To overcome these issues, this paper will design and optimize cloud-native Java based back-end microservices based on Spring Boot, Docker, Kubernetes and REST based models of communication. This architecture proposal has containerized microservice implementation with an …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 2, 2026 · pp. 24–32 Read article
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A Comparative Review of Parallel Computing Techniques for High-Performance Computing
Abstract: High-Performance Computing (HPC) has become an essential technology for solving computationally intensive problems in scientific computing, engineering, artificial intelligence, weather forecasting, computational biology, financial modelling, and large-scale data analytics. The increasing complexity and heterogeneity of modern HPC systems have created a strong requirement for efficient parallel computing techniques and portable programming models. Several programming approaches, including Message Passing Interface (MPI), Open Multi-Processing (OpenMP), Compute Unified Device Architecture (CUDA), OpenACC, SYCL, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 16–26 Read article
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A Comparative Study of various Cloud Service Platforms
Abstract: AbstractCloud computing is the latest computing model where IT services and applications are served over world-wide-web. On-demand services are relatively faster to deliver. They are demanded over internet and are explained as internet-centric software. Cloud is also capable of providing scalability for applications by providing virtualized resources dynamically. Schedulers for cloud computing decide which jobs of a workflow should be allocated on which processing resources. On theoretical fronts, Scheduling for …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 1, 2019 · pp. 7–12 Read article
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Distributed Data Mining Cloud Based System
Abstract: When traditional data mining systems are used for cloud computing, there are performance bottlenecks and scalability difficulties. In this study, it states that a data mining platform is directly based on the cloud computing. As compared with the traditional data mining systems, the platform is highly scalable, with massive data processing capabilities, service-oriented and low hardware costs. The platform can support the design and application of various distributed data mining …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 3, 2018 · pp. 10–14 Read article
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Impact of ML in Evolution of Recommender Systems: A Review
Abstract: Recommender systems have become indispensable tools in today's digital era, catering to the overwhelming demand for personalized recommendations in various domains such as e-commerce, content streaming, and social media. The continuous growth of data and user interactions has necessitated the integration of advanced machine learning (ML) techniques to enhance the accuracy and efficiency of these systems. This study provides a thorough analysis of current developments in machine learning methods used …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 26–32 Read article
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Node MCU-based Obstacle Avoiding Car
Abstract: The utilization of autonomous technology for performing important tasks is increasing due to its high efficiency and reliability. Our proposed autonomous vehicle is designed to be equipped with the capability to detect obstacles in its path, adjust its route to avoid any potential collisions, and eventually reach its destination. The ultrasonic sensors play a crucial role in this setup by providing the vehicle with the necessary information to detect obstacles …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 9, Issue 3, 2022 · pp. 23–29 Read article
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Study and Analysis of Components and Impact of AWS on Cloud Computing
Abstract: This study aims to analyze the components and impact of Amazon Web Services (AWS) on cloud computing. AWS is one of the most widely used cloud computing platforms in the world, providing a wide range of services such as computing, storage, networking, and databases. In this study, we will examine the components of AWS, including EC2, S3, RDS, and Lambda. EC2 provides scalable computing capacity in the cloud, while S3 …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 1, 2023 · pp. 35–42 Read article
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Cloud Security: A Review on Third Party Auditor
Abstract: Cloud security means providing security to user’s data. There are a lot of ways for doing this task. To make sure of the protection of users' data within the cloud, we have a tendency to propose a good, scalable and flexible cryptography mostly theme based. In depth security and performance analysis shows that the planned theme is highly economical and resilient against malicious knowledge modification attack, the planned theme not …
Published in Journal of Open Source Developments · Vol. 2, Issue 1, 2015 · pp. 20–22 Read article
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Cloud-Sensor Network Integration: Review
Abstract: Nowadays, wireless sensor networks have become a widespread entity in human life, it can be seen as one of the most essential technologies in 21st century in which sensors are placed in distributed manner to monitor physical and ecological environments such as temperature, pressure etc. WSNs have their own applications such as healthcare, military, environment monitoring, and manufacturing; but this technology is constrained by limited resources in terms of memory, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 4, Issue 1, 2016 · pp. 17–24 Read article
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Design of a SmartMesh IP Network with Wireless Motes and GUI Control
Abstract: SmartMesh IP is an innovative way to connect smart devices with advanced network management and comprehensive security features. SmartMesh IP delivers reliable, scalable, and energy efficient wireless sensor connectivity. In recent years, SmartMesh IP has become the industry’s most energy- efficient wireless mesh sensing technology even in harsh and dynamically changing radio frequency (RF) environments. This paper proposes a SmartMesh IP network system that consists of a network manager and …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 4, 2022 · pp. 1–20 Read article
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Scheduled Charging and Discharging of Electric Vehicles for Charging Cost Optimization
Abstract: The growing number of Electric Vehicles (EVs) will have remarkable impacts on the power grid as it leads to the increase in total energy consumption. This increases the overall burden on the grid which would require new power plants. However, it is possible to minimize the impact by proper scheduling for charging and discharging of electric vehicles. In this paper, three optimal schemes have been compared i.e. global optimal scheduling …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 4, 2022 · pp. 1–10 Read article
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Recent Advances in Delivering Strategies of Domperidone Challenges and Opportunities
Abstract: Domperidone (DMP), a potent gastroprokinetic and antiemetic drug, exhibits poor aqueous solubility and limited oral bioavailability. Therefore, to develop oral preparations with optimized oral bioavailability, the pharmacokinetic parameters of DMP need to be controlled. The present review aimed to discuss the physicochemical characteristics of DMP causing its unfavorable oral delivery, to explore the viable oral formulation approaches, and to propose some recent formulation approaches that can mitigate the above mentioned …
Published in Trends in Drug Delivery · Vol. 8, Issue 2, 2023 · pp. 13–24 Read article
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Threat Detection on Linux Systems Using OSquery
Abstract: We have made an EDR tool for Linux Systems using Facebook open-source project OSquery. Making our own EDR tool rather than using a commercial EDR tool helps us gain knowledge about the platform and the security aspect of the platform and gives us the capabilities to detect and investigate security events. In our method, we are collecting the logs on the central server and then we are using these logs …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 4, 2023 · pp. 1–5 Read article
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Proof-of-Minimum Privacy Leak Consensus Strategy in Blockchain
Abstract: In this study, we propose a novel consensus algorithm to preserve the security and privacy of a transaction. We propose a Proof-of-Minimum Privacy Leak consensus strategy. This means that the competing nodes which participate in the competition to mine the next block should give a proof of minimum privacy leak during its transaction. Only this proof will give highest votes to that node, and it will be elected as the …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 4, 2023 · pp. 24–35 Read article
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Searching Substring in O(n) Time Complexity
Abstract: This research paper presents a highly efficient algorithm for substring search within a given string, achieving a remarkable time complexity of O(n). The proposed algorithm utilizes a two-pointer approach to compare the given string with the targeted substring. By employing string concatenation, the algorithm dynamically constructs a resultant substring during the matching process. Upon completion of character matching, the algorithm compares the resultant substring with the targeted substring and returns …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 9–15 Read article
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Adoption of Proprietary Online Exam Proctoring Software Using Multimedia Analytics System
Abstract: This research focuses on the effects of online proctoring in facilitating the online test procedure for prospects, as well as how these tools affect engagement and learnability, as well as a retrospective investigation of other online examinations now in demand and a comparison of both. As a researcher, we learned that online proctoring is essential not only for a smooth examination process, but also for the cautious management of a …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 1, 2023 · pp. 25–29 Read article
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Effects of Cluster Computing on Big Data Analysis and Network Topology
Abstract: The rapid expansion of big data has posed substantial difficulties for conventional computing systems. As a result, cluster computing has grown to be a potent method for effective large data processing. Cluster computing involves multiple interconnected nodes functioning as a unified system, pooling together their processing, storage, and memory resources. These nodes are typically connected through high-speed networks such as ethernet or InfiniBand, facilitating efficient data sharing and communication among …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 31–39 Read article