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1966 articles for “Model” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Assessing the Knowledge and Attitudes of Eligible Couples Regarding Small Family Norm in a Selected Rural Area of Gwalior
Abstract: This study aimed to determine the level of knowledge and attitude of eligible couples toward permanent family planning methods in a selected rural area of the district. The research method was an evaluation. Sixty couples were chosen at random who met the inclusion and exclusion criteria. The primary purpose of this research is to evaluate the level of understanding and satisfaction with permanent family planning methods among eligible couples in …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 2, 2023 Read article
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Investigation of Electro-optical Characteristic and Structure Optimization of PMMA: Bepq2/BCP/Tpbi Blue Highly Efficient OLED Device
Abstract: In this Investigation, the energy level structure of the Spiro-MeOTAD/PMMA: Bepq2/BCP/Tpbi/LiF OLED has been investigated to explain the method of electron-hole charge carrier pair recombination and the light generation. The Maxwell-Boltzmann statistics model was applied to optimize the structure to reduce the band gap between conductive layers. We found the simulated results J–V, J-Illumination flux, and Current Efficiency (CE) characteristics when we applied forward bias. Inconclusive results determined the threshold …
Published in Journal of Polymer & Composites · Vol. 11, Issue 5, 2023 · pp. 56–68 Read article
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Cross-layer Solutions in WSN Routing: A Review
Abstract: WSN is a less infrastructure wireless network which is embedded with large number of Sensor Nodes (SN). Its ad-hoc manner of device distribution allows it to monitor conditions under physical and environmental scenarios. Typically, SNs in WSN are installed in a specified geographical location to monitor required information. Due to SNs’ self-configuring ability, the exploitation of target is simpler. Though, its functioning is limited with factors such as energy efficiency, …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 26–36 Read article
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Experimental Investigation of Aerodynamic Characteristics of Dimpled 3D Aircraft Wing
Abstract: There is a strong demand for innovative designs, optimization of the aircraft components for their parts with respect to design, etc. One such innovation is by introduction of dimples in the wing of the aircraft. To study the effect of geometry modification of the wing, the present work compares the aerodynamic efficiency, ratio of lift to drag coefficients, along with different aerodynamic characteristics of an Inward and outward circular dimpled …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 1, 2023 · pp. 11–22 Read article
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Optimizing Cellular Manufacturing Systems: Minimizing Production Time with Collaborative Robots (Cobots) using PSO
Abstract: This study focuses on the implementation of cobots in a cellular manufacturing system to minimize production time. The use of cobots, collaborative robots capable of working alongside human operators, aims to increase efficiency and reduce manual labor in the manufacturing process. The mathematical model presented in this research evaluates the impact of cobots on production time by considering various factors, including task times, machine setup, inspection, waiting, and idle times. …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 1, 2023 · pp. 22–27 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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Pharmacophore mapping, 3D QSAR, docking, and ADME prediction studies of novel Benzothiazinone derivatives
Abstract: Background Tuberculosis is a major public health concern worldwide which is caused by Mycobacterium tuberculosis. DprE1 (Decaprenyl Phosphoryl Ribose 2’- Epimerase) is the most challenging target for development of novel anti- tubercular agents because it is a small protein and located into cytoplasmic membrane. So, novel anti-TB drugs did not bound effectively with it. DprE1 catalyzes the oxidation of the 2’ hydroxyl group of DPR (Decaprenyl Phosphoryl D- Ribose) …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 59–82 Read article
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Perturb and Observe Maximum Power Point Tracking Technique with PID Controller for a Wind Power System
Abstract: The wind power generation system has a significant growth worldwide over the past four decades. The wind power generation system has strong coupling and linear characteristics which makes it a complicated electromechanical system. The power control strategy has a higher impact on the overall performance as the wind power generation is operated at variable and random wind speed conditions. PID control is the most used control algorithm in industrial applications. …
Published in International Journal of Advanced Control and System Engineering · Vol. 1, Issue 1, 2023 · pp. 15–25 Read article
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AI-driven Flood Surveillance and Dam Control: Advancing Resilience Through Data Science
Abstract: This study presents the development and real-world deployment of an intelligent system for flood monitoring and automated dam gate control using artificial intelligence (AI) and internet of things (IoT) sensors. Supervised machine learning models are developed to predict floods up to 48 h in advance. An automated dam gate operation system is designed to leverage the flood forecasts and real-time stream water levels for emergency control. The complete end-to-end infrastructure …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 9–17 Read article
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An Interoperability on the Internet of Things (IoT): A Review
Abstract: With technological advancement growing at a rapid rate, we are presented with numerous ways of connecting ourselves to the rest of the world. The Internet of Things, or IoT, is now a reality, even at the minuscule level. With ubiquitous computing, we can stay in constant communication with the outside world. As such there are several types of devices capable of monitoring, measuring, and sending data back and forth from …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 40–53 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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Analyzing the Sheet Metal Extrusion Process Using Finite Element Analysis
Abstract: A wide range of sheet metal forming techniques has been developed to make it easier to produce intricate 3D objects. However, the knowledge still isn't sufficient. The sheet metal extrusion method was examined in this research as one of the common sheet-bulk metal manufacturing technologies. Consideration of the flow-stress curve's impact across a broad range of plastic strain and ductile damage played a pivotal role in constructing a realistic finite …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 13–25 Read article
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Efficient Fault Detection in Power Transmission: A Review of Three-Phase Line Fault Detection with Hybrid Energy using MATLAB
Abstract: In urban regions, the density of power demand has significantly increased recently. Large-scale subterranean power cable installations are beginning to take the place of overhead transmission lines everywhere in the world because of environmental concerns in highly populated areas. The present project's primary objective is to use MATLAB to create a simulation model that includes 3ph symmetrical and unsymmetrical defects. Some have proven to be effective in detecting errors while …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 1, 2023 · pp. 42–47 Read article
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Optimization of Liquid Metal Nanocomposites and Biogas Addition Rate Using ANN-GA
Abstract: In this study, the liquid metal nanocomposites were investigated using artificial neural network (ANN) prediction capabilities for Compression Ignition (CI) engine performance. The independent input variables selected were load (20-100%), Liquid-metal nanocomposites Doped Rate (NDR, 0-50 ppm), and Biogas Flow Rate (BFR, 0.5-1.0 kg/h). The Central Composite Face-Centered Design (CCFCD) was used in conjunction with the selected input variables and output parameters to assist in the preparation of the Design …
Published in Journal of Polymer & Composites · Vol. 11, Issue 11, 2023 · pp. 12–27 Read article
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Interest Level Prediction in Rental Properties Using Data Science
Abstract: A key component of forecasting home prices and rental patterns is real estate market analysis. Data science, data mining methodologies, and statistical models are some of the strategies that have been created in recent years to solve this problem. A few problems are still required to be resolved, such as the obstacles caused by the availability and quality of the data; the presence of outliers, missing values, and inconsistent formats …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 28–34 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
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Federated Learning for Energy Management in Next Generation Smart Cities
Abstract: Federated learning has emerged as a promising approach for addressing the challenges of energy management in next-generation smart cities. This decentralized approach to machine learning allows collaborative model training among distributed data sources, while safeguarding data privacy and security. In this study, we explore the application of federated learning techniques to optimize energy consumption, enhance grid stability, and promote sustainability in smart city environments. By aggregating data from diverse sources …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 19–27 Read article
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Using AIML to Enhance Demand Forecasting in Business
Abstract: Artificial intelligence machine learning (AIML) can play a significant role in enhancing demand forecasting in business. AIML is a programming language designed for creating chatbots and conversational agents, but its application extends beyond simple interactions. In the context of demand forecasting, AIML can be utilized to analyze historical data, customer interactions, and market trends. By implementing AIML algorithms, businesses can create intelligent models that learn from past demand patterns, customer …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 35–40 Read article
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Computational Analysis of Non-Newtonian Blood Flow through Bifurcated Coronary Artery: Insights into Hemodynamics and Wall Shear Stress
Abstract: This abstract presents a study on the computational fluid dynamics (CFD) simulations of blood flow through a bifurcated coronary artery using non-Newtonian fluid model. The objective of this study is to investigate the hemodynamic characteristics in Bifurcated Coronary artery. The methodology involved the utilization of ANSYS SpaceClaim software for creating a geometric model of the bifurcated coronary artery. A mesh independent study was conducted to ensure the accuracy and reliability …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 160–168 Read article
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Review on Machine Learning Techniques for Heart Failure Analysis in Health Industries
Abstract: There are few bodily components as crucial as the heart. It aids in the filtration and distribution of blood to every area of a body. The world's biggest cause of death is heart disease. It has been reported that symptoms include breathing difficulties, fast heartbeat, and chest discomfort. They analyze this data on a regular basis. This review begins with a brief introduction of cardiac disease and the present methods …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 29–43 Read article