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629 articles for “Computation”
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An Investigation into the Impact of Progressive Muscle Relaxation on Anxiety Levels Among Nursing Students at a Selected Nursing College in Haryana, India
Abstract: Background: Nursing students often encounter significant anxiety throughout their educational journey. Key factors include heavy academic workloads, unclear assignments, and demanding shift schedules, personal and professional anxiety. Beyond these academic pressures, relationships with faculty, clinical experiences, and time constraints can also contribute to their anxiety levels. This anxiety can adversely impact student's performance if not managed effectively. Progressive Muscle Relaxation (PMR) is a well-regarded technique for alleviating anxiety, as it …
Published in International Journal of Neurological Nursing · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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A Review of AI and Machine Learning Techniques in Dew Point Pressure Prediction for Gas Condensate Systems
Abstract: Condensate gas reservoirs pose considerable management challenges due to their intricate phase behavior and the critical need for accurate predictions of dew point pressure (PDew). A precise determination of PDew is vital for optimizing production strategies, estimating reserves, and planning enhanced oil recovery operations. Traditional methods for PDew determination often involve experimental analyses that can be both costly and time-consuming, highlighting the necessity for alternative predictive models. This review consolidates …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 1, 2025 Read article
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Intelligent Approaches to Functional Material Development
Abstract: By empowering systems to carry out tasks like decision-making and problem-solving that call for human-like intellect, artificial intelligence (AI) is revolutionizing technology. A key enabler of this progress is functional materials, designed through materials engineering to meet the needs of high-performance technologies like semiconductors, sensors, and memory storage. These materials are vital in ensuring AI systems operate efficiently by providing the computational power, energy efficiency, and sensory capabilities required. The …
Published in International Journal of Energetic Materials · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article
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Enhancing Awareness of Cytotoxic Drug Handling: Evaluation of a Structured Teaching Program for Nursing Staff in Jalandhar Hospitals
Abstract: Cytotoxic medications are used to treat cancer all around the world. These medications are often made specifically for each patient and are given as bolus injections or infusions. The cytotoxic drugs are classified as hazardous drugs by Occupational Safety and Health Association (OSHA). Nurses dealing with cytotoxic drugs have potential risk of occupational health hazards as these drugs are potentially carcinogenic, mutagenic, or teratogenic by nature. Staff nurses’ occupational health …
Published in International Journal of Energetic Materials · Vol. 11, Issue 1, 2025 · pp. 1–10 Read article
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Enhancement and Management of Evaporative Separation Methods
Abstract: Separating components according to their vapor pressures, evaporative separation techniques are widely employed in a variety of industries, such as chemical manufacture, petroleum refining, and food and beverage processing. Equipment like membrane-based systems, evaporators, and distillation columns are used in these procedures, which are essential for guaranteeing both process effectiveness and product quality. However, stability and safety in evaporative separation processes are difficult to maintain due to their complexity and …
Published in International Journal of Chemical Separation Technology · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Evaluation of Deep Learning Optimizers for Gujarati Handwritten Numerals
Abstract: Handwritten digit recognition is a fundamental task in the field of pattern recognition and computer vision with numerous applications. The development of deep learning algorithms has greatly increased the efficiency and accuracy of recognition of handwritten digits systems. However, the choice of optimizer plays a crucial role in determining the convergence rate and final performance of deep learning models. In this study, we provide a thorough analysis of many deep …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 34–41 Read article
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Advanced Diabetic Retinopathy Detection Using Deep Learning Classifiers
Abstract: Diabetic Retinopathy (DR) is an eye condition that arises from diabetes-related complications, making early detection essential for effective treatment. As diabetes advances, an individual’s vision may deteriorate, potentially resulting in diabetic retinopathy. This condition is divided into two primary types: Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). Early treatment to maintain a strategic distance from a change less visual impedance is basic as it may save diabetic retinopathy …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 26–33 Read article
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Polynomial Thevenin Resistance Networks for Spice Simulation
Abstract: Two networks with resistors and independent sources are considered to compute Thevenin resistance. A different network is considered where the Thevenin resistance from the previous independent networks is to be incorporated (in a polynomial representation). Different methods using Spice/Pspice software to obtain the above representation are described. SPICE/OrCAD software is used to obtain equivalent circuits for Thevenin equivalent network parameters used in polynomial form are described and other different networks …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 2, 2024 · pp. 22–36 Read article
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Facial Emotion-Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human–computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using convolutional neural networks and Haar Cascade classifiers. The suggested method uses convolutional neural network to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing of the input photos, followed by face …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Analysis and Design of Structural Components in Offshore and Marine Engineering
Abstract: Offshore and marine engineering play a pivotal role in the global energy market, particularly in the oil and gas industry. The structural integrity of components in such challenging environments is critical, as they are exposed to harsh conditions including high winds, waves, and corrosion. This research paper aims to explore the analytical and design principles for structural components used in offshore and marine engineering, emphasizing materials, loading conditions, failure mechanisms, …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Comparative Design and Performance Analysis of Axial Flow Compressor Blades Using Various Materials
Abstract: This study presents a comprehensive design and performance analysis of axial flow compressor blades using various materials to improve efficiency, durability, and performance. Axial flow compressors are critical components in aircraft engines and industrial gas turbines, and the choice of blade material significantly impacts their functionality under extreme operational conditions. The analysis explores several materials, including traditional alloys, advanced composites, and high-temperature resistant metals, evaluating their mechanical properties, thermal stability, …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 7–15 Read article
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Thermodynamic of Biomass Pyrolysis of RenewableEnergy Production
Abstract: Biomass pyrolysis is a pivotal thermochemical process for converting organic materials into valuable biofuels and chemicals, playing a critical role in the renewable energy landscape. This study explores the thermodynamic principles underlying biomass pyrolysis, emphasizing its potential for sustainable energy production. In this process, biomass is thermally broken down in the absence of oxygen, producing syngas, biochar, and bio-oil. Thermodynamic analysis provides insights into the energy requirements, reaction pathways, and …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 10, Issue 1, 2024 Read article
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Velocity and Concentration Distribution of Turbidity Currents
Abstract: AbstractThis study conducts a comprehensive analysis of the velocity and concentration characteristics withinturbidity currents, focusing on detailed evaluations of the hydrodynamic and sediment transportproperties. The investigation includes separate calculations for the velocity and concentrationdistributions within the near-boundary and jet regions, allowing for an in-depth comparison betweenthese distinct flow areas. By computing dimensionless profiles of both velocity and concentration, thestudy offers a visual representation of flow behaviors and sediment patterns, which …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 2, 2024 · pp. 15–22 Read article
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Facial Emotion Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human-computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using Convolutional Neural Networks (or CNNs) and Haar Cascade classifiers. The suggested method uses CNN to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing the input photos, followed by face detection …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article
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IoT Based Smart RFID Application in Healthcare
Abstract: The Internet of Things has become a promising technology in recent years that expands the idea of the internet and makes it more widespread, enabling smooth communication between all kinds of devices. To connect “Everything” and make it smarter, the Internet of Things plays several roles, including identification, information gathering, exchange and processing, decision-making, and security. Two important technologies that facilitate intelligent decision-making across a range of applications are cloud …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 24–29 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Enhancing Image Quality with Deep Learning Techniques for Restoration and Denoising
Abstract: Abstract: Clear and high-quality images have become more and more necessary in recent years due to the rapid development of computer vision-based autonomous systems, including autonomous driving, underwater robots, video surveillance, and medical imaging. However, real-world circumstances, such as inclement weather, underwater scenes, and moving cameras, can lead to poorer-quality photographs. These degradations, which include color distortions, noise, and blurring, hurt how well visual systems accomplish tasks like target tracking, …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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A Hybrid Approach to Secure Cloud Storage: Machine Learning and Blockchain Integration
Abstract: With the rapid adoption of cloud computing across industries, securing cloud storage has become a paramount concern for organizations that rely on cloud-based systems to manage sensitive data. Traditional security approaches often struggle with the complex and evolving nature of cyber threats, leading to vulnerabilities that malicious actors can exploit. In response to these challenges, this paper proposes a hybrid approach that integrates machine learning and blockchain technologies to create …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 35–47 Read article
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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Predictive Analytics in E-Learning: Enhancing Student Performance Through Machine Learning Models
Abstract: With the explosion of electronic devices and internet technologies in today’s world, the amount of data we store has grown massively. Data is simply information that has been organized in a way that makes it easy to share or work with. A potent technology that enables computers to learn from data without direct programming is machine learning, which we employ in our research. The focus of this study is on …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article