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559 articles for “computational requirement”
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Different Types of Load Balancing Algorithms in Cloud Computing
Abstract: The simplest meaning of cloud computing can be defined using three statements i.e., hosted on the internet, developed on the interest and access via internet. Cloud provides on-demand access to all the resources as per the requirement by the users. These services provided by the cloud are on paid basis, so everyone wants to use them. The main issue faced by the provider is to evenly distribute the load across …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 1–6 Read article
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Mobile Cloud Computing–Implementation Problems and Solutions
Abstract: Mobile Cloud Computing (MCC) Has Been Introduced as A Potential Technology With Explosive Growth Developing mobile applications and cloud computing language concepts. From Mobile to the Cloud. The objective is to remove the obstacles associated with storage, bandwidth, diversity, and security. To Get Rid of Computing Loads of Mobile Devices Loading execution shipping technique is recommended for the migration process between machines. Offloading Exec In which area of the code …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 4, 2021 · pp. 28–35 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Knowledge Management
Abstract: AbstractLibrary is heart of an organization. Emerging trend of the ICT has changed the form of the data available in digital format. Library has the collection of books (reference, text, handbook etc), journals (regular, bound volumes), and newspapers, etc. in hard copy format. Because of new technologies, these materials are available in electronic format. Huge amount of information is now there in one click on internet. Knowledge is available in …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 27–31 Read article
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Industry 6.0: Building a Sustainable Future
Abstract: The next stage of industrialization, known as Industry 6.0, is centered on developing intelligent, fully integrated manufacturing systems that require little human involvement. India is in a perfect position to become a major player in the sector 6.0 ecosystem, thanks to its robust technological infrastructure, fast expanding economy, and large talent pool. It blends big data, cloud computing energy, human-robot interaction, artificial intelligence, and quantum computing. The main aim of …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 25–32 Read article
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Design and Implementation of a Smart RFID-Based Library System Using ESP32
Abstract: Recent advancements made in automated technologies have created major changes in previous library management systems. The aim of the Smart Library System is to provide improved efficiency, accuracy, and security in the management of books throughout the entire borrowing and returning process, as well as throughout the entire process of maintaining an accurate inventory of books. Each book has an RFID tag embedded within it while each registered user of …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 39–47 Read article
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Studies on Waste Water Treatment in Three Phase Semifluidized Bed Bioreactors: Computer Aided Analysis and Software Development
Abstract: Design and performance analysis of three phase semifluidized biofilm reactors for aerobic treatment of industrial effluents have been attempted. Bioconversion processes that follow Monod-type kinetics and those following Haldane-Andrews kinetics (involving substrate inhibition to microbial growth) have been considered as typical cases. The bioreactor has been modelled mathematically by solving performance equations separately for the packed section and for the fluidized section, considering dispersed flow in both of these sections, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 7, Issue 1, 2016 · pp. 1–21 Read article
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Effectiveness of Routing Protocol Using Cisco Packet Tracer
Abstract: Routing protocols play a crucial role in modern computer networks, and their effectiveness can impact the performance and reliability of a network. The choice of the routing protocol depends on the network topology and requirements, and selecting the right protocol can be a challenging task for network administrators. Cisco Packet Tracer is a simulation tool that allows network administrators to design, configure, and test network topologies in a virtual environment. …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 3, 2022 · pp. 31–39 Read article
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Digital Twins in Human Anatomy and Physiology Education: Current Status and Future Perspectives
Abstract: Digital Twin (DT) technology has emerged as a promising innovation in healthcare by creating dynamic virtual representations of physical systems through the integration of artificial intelligence (AI), computational modeling, real-time data, and advanced visualization technologies. Although DTs have been widely investigated in precision medicine and clinical decision-making, their application in Human Anatomy and Physiology (HAP) education remains in its early stages. This review aims to examine the current status, educational …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Predicting the Computer Access Needs of Employee Using Data Mining Algorithms
Abstract: Every business relies on data to better organize and access the information to improve their business operations and to identify opportunities for improvement. A better framework improves the ability to valuable products and better services to their customers. The wide swaths of data that every organization gathers requires a proper methodology to gain knowledge about the latest trends in the market. Data mining is the process that analyses the data …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 1, 2023 · pp. 12–16 Read article
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Advancements in Smart Manufacturing: A Review of Industry 4.0 Technologies and Integration Strategies
Abstract: A new era of production known as “Smart Manufacturing,” which is primarily motivated by the ideas of Industry 4.0, has been brought about by the quick development of digital technologies. The goal of this technology revolution is to develop intelligent, adaptive, and networked production systems that react instantly to shifting supply, demand, and operating circumstances. The Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), cyber-physical systems (CPS), big …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 31–36 Read article
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Acoustic Sensing for City Flow: Quasi-Supervised Recognition of Sirens and Traffic for Urban Mobility Intelligence
Abstract: This paper frames environmental audio as a mobility telemetry source, extending a benchmark urban-sound corpus with transportation-critical classes—ambulance, firetruck, police, and traffic—and training spectrogram-based models under a quasi-supervised regime to support real-time city operations; leveraging 10-fold protocols, class-weighted objectives, and audiospecific augmentations (time stretch, pitch shift, SpecAugment, PatchAugment), the system benchmarks multiple CNN backbones combined with self-supervised learning paradigms enable the extraction of rich, discriminative acoustic representations, achieving strong multi-class …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 42–50 Read article
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Fracture Analysis of Laminated composite plates using Extended Finite Element Method: A Review
Abstract: Laminated composite plates are used in aerospace, automotive, and marine industries. They feature great durability against fatigue, a high strength-to-weight ratio, and mechanical attributes that may be altered. However, they are prone to fracture and delamination under complex loading, requiring accurate fracture analysis for structural integrity. Traditional finite element methods (FEM) need extensive mesh refinement for modelling crack propagation which increases the computational costs. The Extended Finite Element Method (XFEM) …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 16–25 Read article
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Requirement of the Dynamic Metrics to Measure the Behaviour of Component-based Software
Abstract: Software component has been developed lively. Component-based Software Development (CBSD) is becoming more generalized, representing a considerable market for the software industry. However, the measurements of software components have become an integral part of software development and are used during every phase of the software development life cycle. With the help of conventional static metrics we are not able to analyse various facts of software. It is very important to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 2, 2014 · pp. 10–13 Read article
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Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Symmetry Principles in Digital Twin Systems: Modeling, Integration, and Applications
Abstract: This systematic review comprehensively examines the burgeoning field of Digital Twin (DT) technology, analyzing its current state, diverse applications, and future trajectory. Through a rigorous methodology involving a systematic search of academic databases and relevant industry literature, this review synthesizes findings across a spectrum of disciplines. We identify the core components and underlying principles of DTs, distinguishing them from traditional simulation models by their dynamic, realtime data integration and bi-directional …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 06–24 Read article
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Survey on Cloud Backup and Recovery Techniques
Abstract: AbstractThe need of storing large amount of data in electronic format has been increasing. Cloud computing is such a technology used to store data, backup data and provide disaster recovery services. Cloud will store large amount of data. This stored data can be used whenever required, from anywhere. To avoid the loss of data a backup is created and the data in cloud are stored in it. The purpose of …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 26–35 Read article
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Trust Model in Cloud Computing Based on Quality of Protection
Abstract: Today, trust is considered as a biggest challenge and a critical factor in the cloud computing. Many organizations want to move towards cloud for giving secure access and secure transmission of their data to the data user but due to lack in trust in cloud security services organization hesitate to move towards cloud. This paper proposes a new trust model based on the quality of protection of services offered by …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 2, 2015 · pp. 21–25 Read article
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Thermally Adaptive Bio-Inspired VLSI Interconnect Model for Next-Generation Embedded Systems
Abstract: The increasing complexity of next-generation embedded systems has intensified the challenges associated with power dissipation, thermal instability, signal integrity, and interconnect reliability in Very Large- Scale Integration (VLSI) architectures. This research proposes a thermally adaptive bio-inspired VLSI interconnect model designed to enhance communication efficiency and thermal resilience in advanced embedded platforms. The proposed model integrates bio-inspired adaptive routing principles with dynamic thermal-aware interconnect management to optimize data transmission under varying …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 1–11 Read article
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Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article