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629 articles for “computational”
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Heat Transfer Performance in an Internally Dimpled Tube Heat Exchanger Composed of Various Materials Examined Using CFD: A Review
Abstract: A review of the most important findings for thermal enhancement on circular pipe is presented, the focus is on the heat transfer and thermal gradient in these heat exchangers. The use of circular dimpled pipes, surfaces, and other techniques to promote heat transmission has been the subject of several studies in the past. Reviews are conducted on a sizable number of research papers pertaining to computational and experimental investigations. Various …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 9, Issue 2, 2023 · pp. 30–40 Read article
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Evaluation of Kinetic Parameters of Total PetroleumHydrocarbon Degradation Using Grape Leaf as Nutrientto Catalyze the Reaction
Abstract: The outcomes of the research are to determine and evaluate the kinetic parameters of total petroleum hydrocarbon degradation using grape leaf as nutrient to catalyze the reaction. The application of the Michaelis–Menten model equation in combination with the Lineweaver–Burk Plot theoretical conceptual techniques was adopted in handling the computation of the functional parameters and coefficients of the system. The impact of bio-remediant dosage was monitored, and the kinetic parameters were …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 1–9 Read article
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Speech Emotion Recognition using Multi- Kernel CNN for Features extraction and Random Forest Classifier
Abstract: Identifying human emotional states from speech signals is the main goal of Speech Emotion Recognition (SER), which has grown to be a significant area of study in affective computing. However, class imbalance and efficient feature extraction from speech data pose problems for many of the current methods. This study suggests a hybrid framework that combines a Random Forest (RF) classifier with a multi-kernel Convolutional Neural Network (CNN) to address these …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Securing the Edge with Artificial Intelligence, Cyber Defense: Privacy Protocols in Distributed Sensor Networks and Cloud–Fog Ecosystems
Abstract: In the rapidly developing distributed computing, edge devices, and Internet of Things (IoT) networks are propelling a revolution in intelligence and connection in today’s digital world. Low-latency compute, robust security measures, and privacy-preserving methods are being demanded by the vast number of connected devices and the enormous volume of real-time data they produce. Common and centralized cloud-based solutions are strong, but they use a large dispersed system to handle time-sensitive …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Nonlinear Finite Element Approaches for Structural Failure Prediction: A Comparative Assessment with Case Studies
Abstract: Abstract Nonlinear finite element methods (NLFEM) have become indispensable for predicting structural failure in complex engineering systems, particularly where linear models fail to capture critical behaviors, such as large deformations, crack propagation, and post-buckling responses. This study investigates and compares several state-of-the-art NLFEM techniques – namely cohesive zone modeling (CZM), extended finite element method (XFEM), and phase-field fracture modelling – in the context of structural failure prediction. Three representative case …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 1–5 Read article
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Unsupervised Machine Learning:Revealing Hidden Data patterns
Abstract: Machine learning helps computers learn from data and make smart decisions. There are two main ways they do this: supervised and unsupervised learning. Supervised learning is like teaching a child with flashcards—you show the computer examples with the right answers, and it learns to recognize patterns. This helps it make predictions, like guessing whether an email is spam or estimating house prices. Unsupervised learning, on the other hand, is like …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 38–47 Read article
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The Power of Chemical Modeling: Unveiling Molecular Behavior
Abstract: Chemical modeling has developed as a strong tool for deciphering the complicated behavior of atoms at both the molecular and atomic scales. Researchers can simulate and comprehend the complex dynamics and properties of chemical systems by combining ideas from physics, chemistry, and computer science. The importance of chemical modeling in studying molecular behavior and demonstrates its transformative ability in a variety of scientific disciplines. Chemical modeling, using advanced computational approaches, …
Published in International Journal of Chemical Engineering and Processing · Vol. 9, Issue 1, 2023 · pp. 9–13 Read article
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Parametric Analysis of Ribbed Channels for Gas Turbine Engines
Abstract: This work uses experimental data to validate a ribbed surface that is computationally examined interior passageway of a static blade on a turbine. to replicate an illustration from a released publication while researching the Computational Fluid Dynamic conjugated heat transmission. The turbulence simulation matched the most closely. Publicly available physical practical results were found by working on Ansys Workbench. Convective heat exchange efficiencies additionally to stress profiles utilizing those computationally …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 9, Issue 2, 2023 · pp. 28–34 Read article
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An Analysis of Ujjani Reservoir in Solapur, Maharashtra, India, Using Mathematical Modeling and Satellite Remote Sensing Techniques for Sedimentation Studies
Abstract: The reservoir's storage capacity steadily decreases due to sedimentation. The reservoir life can be preserved by monitoring sedimentation and implementing appropriate management measures. The Ujjani dam was built for power generating, irrigation, and water delivery systems. It is located in the drought-prone Solapur district, due to which Ujjani is an important initiative for the region's economy and society. In the present study, the Ujjani reservoir's sedimentation is evaluated for monitoring …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 2, 2023 · pp. 1–9 Read article
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SMS: An Improved Approach Specifically for Edge Detection of Gray-Scale Images
Abstract: Abstract Edges of an image can be represented by using various edge detectors with different approaches. Edge detection is a very fundamental part in image processing and computer vision. In this paper, an emerging edge detection approach which computes edges of different images using the programmatic combination of Sobel-Morphological-Sobel (SMS) edge detectors is presented. This approach can be used as framework for multi-scale edge detectors for a very wide range …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 2, 2015 · pp. 16–20 Read article
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An Experimental Analysis Using P-S-M Approach for Edge Detection of Color Images
Abstract: Abstract Edges of an image can be represented by using various edge detectors with different approaches. Edge detection is a very fundamental part in image processing and computer vision. In this paper, an emerging edge detection approach which computes edges of different images using the programmatic combination of Prewitt-Sobel-Morphological (PSM) edge detectors is presented. This approach can be used as framework for multi-scale edge detectors for a very wide range …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 18–23 Read article
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Support Vector Machine-based Flower Image Classification for Commercial Applications
Abstract: Flowers are crucial raw materials in many industries, including pharmaceuticals and cosmetics. Classifying flowers manually is time-consuming, inconsistent, and requires professional judgment from a botanist. Computer-aided flower classification is a promising approach to this problem. Image classification often employs support vector machines (SVMs) as widely favored algorithms. This study evaluated the performance of SVMs for flower image classification. The results showed that SVMs can achieve good accuracy on this task, …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 44–53 Read article
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TCP Security Action Prediction Algorithm based on Machine Learning: A Review
Abstract: The growing range of applications available on the Internet and continuous technological improvements have led to an increase in network security incidents and cyber-attacks. Consequently, computer network security is becoming more and more important. Network security can be allowed or prohibited by a TCP firewall; a device used for computer network security. When utilising classic firewalls, network managers must periodically choose which packets to admit and prohibit to keep computer …
Published in International Journal of Digital Communication and Analog Signals · Vol. 9, Issue 1, 2023 · pp. 21–26 Read article
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Virtual Reality and Its Contribution in Mediation and Psychological Treatment
Abstract: Nowadays we are surrounded by blends of technologies, there is a rainbow of various technologies in our everyday lives. Increasingly these technologies are getting integrated to provide us with the best of abilities and services which are more efficient than in the past. Virtual Reality ear (computer generated reality) is a developing innovation that is winding up progressively common with time. Its uses for well-being and entertainment rehearses are underwhelming. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 9, Issue 2, 2023 · pp. 13–21 Read article
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Time Complexity Analysis of RSA, OTP and Hash Algorithms in Cloud Data
Abstract: ABSTRACTCloud Computing security refers to protection of data in cloud, its applications and the underlying infrastructure using some set of polices, controls and technologies. It is an important trend in information technology throughout the world. Security of a data has a major issue in cloud computing environment. Now a days the data protection technique uses symmetric and uneven encryption algorithms with the strong authentication techniques. This paper proposes the contrast …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 29–38 Read article
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Deep Learning Approach Based Brain Tumor Detection
Abstract: The brain tumor is one of the most deadly disease which is of great concern and hence to detect and extract the effected tumor area in the brain from the MRI has lot of research potential. It is also a very difficult task to perform by the experts. The perfection of the vivisection depends on how much experienced the radiologist or the clinical expert is. So to overcome the wastage …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 57–63 Read article
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Human Psychological Factors Affecting Software Engineering Discipline from Cybersecurity Prospective
Abstract: Research into information security has long been an established subfield within the broader academic communities of computer science, software engineering, and information and communications technology. Over the past few years, “cyber security” has largely supplanted the older phrase “information security”. Cyber security refers to the protection of data and computer networks.This paper aims to demonstrate that studies in behavioral sciences focusing on user behavior, in addition to studies in computer …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 7–15 Read article
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Drilling of Fibre Reinforced Plastics (FRPs) Materials: A Literature Survey
Abstract: The use of polymer composite materials has increased rapidly over the last decade and the numbers of papers for the machining of these materials has also increased. The aim of this paper is to present a literature survey on the resins, properties, the superiority of the hole produced in drilling of the fibre reinforced plastics (FRPs), different techniques used to detect the defects in composite structures that may be caused …
Published in International Journal of Composite and Constituent Materials · Vol. 1, Issue 1, 2015 · pp. 14–31 Read article
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Fatigue life Analysis of High Pressurized Gear Pump Component—A Review
Abstract: This review deals with fatigue life analysis of high pressurized gear pump component. The gear pump components failure occurs at the root of the driven gear and uneven wear at driven side of thrust plate. To avoid the failure, pump should pass the endurance test condition without fail, the test condition should not drop volumetric efficiency more than ten percentile, should pass high cycle fatigue life. The system is to …
Published in International Journal of Mechanics and Design · Vol. 6, Issue 2, 2020 · pp. 23–33 Read article