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206 articles for “ANN”
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Statistical and Artificial Neural Network for the Determination of Thermo-Physical Properties of Fomoditine Drug Using Mixed Hydrotropy
Abstract: The experimental determination of thermo-physical properties of fomoditine drug–mixed hydrotrope concentration mixture is very time consuming as well as tedious process. Any tool helpful in estimation of these properties without experimentation can be of immense utility. In present work, other tools of determination of properties of fomoditine drug–mixed hydrotrope concentration blends were tried. A traditional statistical technique of linear regression (principle of least squares) was used to estimate the specific …
Published in International Journal of Chemical Engineering and Processing · Vol. 1, Issue 2, 2015 · pp. 1–6 Read article
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Green Chemistry Approach for the Preparation of Silver Nanoparticles: A Review
Abstract: The word "nanoparticles" refers to particles within a size range of 10 and 100 nm. Nanotechnology is the topic that is growing the fastest because of its applications in science and technology to produce new at the nanoscale range. Silver is the metal of first preference among the various noble metals. The production of silver nanoparticles can be achieved by different methods such as: chemical method, biological method, green synthesis. …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 9, Issue 1, 2023 · pp. 30–39 Read article
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Prediction of Rainfall Using MLP and RBF Networks for Monsoon and Post-Monsoon Seasons of Pune and Mahabaleshwar Regions
Abstract: Prediction of rainfall for a river basin has utmost importance for planning of irrigation and drainage system as also for command area development. For example, analysis of consecutive days of rainfall is more relevant for drainage design of agricultural lands whereas analysis of weekly rainfall data is relevant for planning of cropping pattern. Likewise, analysis of monthly and seasonal data is more useful for water management practices. With the development …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 1, 2021 · pp. 34–51 Read article
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Analysis of Trend in Rainfall Data using Mann-Kendall Test and Linear Regression Method
Abstract: Rainfall is a vital part of the hydrologic cycle and changes in its pattern directly influence the water resources of concerned regions. Changes in rainfall response as a result of climate change that gives alarming to hydrologists and water resource managers as these changes in rainfall quantity and frequency are altering the pattern of stream flows and demands, spatial and temporal distribution of runoff, soil moisture, etc. The drastic changes …
Published in International Journal of Water Resources Engineering · Vol. 8, Issue 2, 2022 · pp. 39–44 Read article
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Genre Classification of Music Using Machine Learning
Abstract: One of the most important technological advances of the 21st century is artificial intelligence (AI) and machine learning. They are revolutionizing computers, banking, healthcare, agriculture, music and travel. A strong model has mastered many difficult learning tasks. Speech analysis is one area of artificial intelligence. This includes finding information about music, creating music, and categorizing music. Music data is one of the most complex source data available today. This is …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 17–28 Read article
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Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article
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Design A Kaiser Window Based Digital Filter by Using GRNN
Abstract: In this paper, we have designed the digital filter based on Kaiser Window function using ANN. Firstly we have designed the 10th order digital filter based on Kaiser Window function then calculate the coefficient of designed filter. Similarly this process is repeated for the 15th and 20th order. We have normalized the frequency and designed filter at frequency ranges 0.05 to 0.95 Hz. Then we calculated the coefficients of filter …
Published in International Journal of Microwave Engineering and Technology · Vol. 2, Issue 1, 2016 · pp. 39–44 Read article
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Artificial Neural Networks based Four-Leg Matrix Converter for Linear and Non-Linear Load
Abstract: The 4-leg matrix converter, which it is capable of providing a 3-phase plus neutral supply from a standard balanced 3-phase source . Tralatitious 3x3 matrix converters deliver bounded use in this application as they are only capable of supplying a poised three-phase payload. It would be suitable to be able to power unbalanced and nonlinear loads ,requiring that the converter provides a neutral connection .This goal can be achieved by …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 2, Issue 1, 2016 · pp. 45–53 Read article
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Effect of Burr Height in Drilling Low Carbon Steels for Different Drill Point Angles
Abstract: In the present work low carbon steel have been used to observe the burr height at the exit end of the workpiece of a drilled hole under different machining conditions. Three uncoated 12 mm diameter HSS twist drills are used. These drills have different drill point angles, i.e., 118°, 100°, 80°. All the experiments are carried out on a CNC milling machine with and without the application of coolant. Cutting …
Published in International Journal of Mechanics and Design · Vol. 5, Issue 1, 2019 · pp. 24–37 Read article
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Multi-class Fault Diagnosis of Rolling Element Bearing Based on Empirical Mode Decomposition and Entropy Features
Abstract: Rolling element bearings are one of the most commonly used machine elements in engineering industry. Fault detection and diagnosis of rolling element bearings is essential for prevention of malfunction and failure during operation. The present work deals with rolling element bearing fault diagnosis by using Support Vector Machine (SVM) and Artificial Neural Network (ANN). Four types of bearing conditions are considered in the present analysis: inner race fault (IR), outer …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 1, 2016 · pp. 01–10 Read article
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Implications for Closing the Gaps in Awareness and Treatment to Enhance Care for Rheumatic Heart Disease
Abstract: Rheumatic heart disease (RHD) remains a major preventable cause of cardiovascular morbidity and mortality, particularly in low- and middle-income countries (LMICs) of Asia and Africa. Originating from inadequately treated acute rheumatic fever (ARF) following Group A streptococcal infection, RHD predominantly affects children and young adults and continues to impose a substantial clinical, social, and economic burden. Global Burden of Disease estimates indicate that over 38 million people were affected worldwide …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 41–44 Read article
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A Study to Assess the Knowledge Regarding Alcoholism Among Auto Drivers in a Selected Area of Rewa City with a View to Develop Information Booklet
Abstract: Indian society is gradually transitioning from a traditionally conservative framework to a more open and liberal environment, leading to changing attitudes toward alcohol consumption, particularly among youth. Alcohol use is increasingly viewed as socially acceptable, despite its serious health and social consequences. Globally, harmful use of alcohol accounts for nearly 2.5 million deaths annually, including approximately 3,20,000 deaths among individuals aged 15–29 years due to alcohol-related causes. This growing concern …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 1, 2026 · pp. 19–28 Read article
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Conversion of Heat Absorbed (Waste Heat) in a Building for Electricity Generation Using a Thermoelectric Generator
Abstract: This study investigates the feasibility of thermoelectric generators (TEGs) for recovering waste heat from building systems and converting it into electrical energy through the Seebeck effect. A journal-scale simulation framework integrating ANSYS thermal modeling with MATLAB/Simulink electrical analysis was developed to evaluate TEG deployment on building envelope surfaces at the Federal Polytechnic Nyak Shendam, Nigeria. Results demonstrate a proportional increase in electrical output with rising temperature gradients, confirming predictable thermoelectric …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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AI-Based Noise Reduction Techniques for Digital and Analog Communication Systems
Abstract: Noise is one of the major challenges in modern communication systems because it significantly affects signal quality, transmission efficiency, and overall system reliability. Both digital and analog communication systems are influenced by different types of noise such as thermal noise, impulse noise, quantization noise, atmospheric noise, and channel interference. Conventional noise reduction techniques including filtering, adaptive equalization, and statistical signal processing have been extensively used to improve communication performance. However, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 40–48 Read article
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Fast Lanes by Design: Quantifying RFID Electronic Tolling Impacts on Plaza Halt Times in Highway
Abstract: Abstract—Rapid urban growth and the steady rise in the number of vehicles have made congestion at highway toll plazas a persistent and costly problem. Long queues at toll booths not only waste travelers’ time but also increase fuel consumption, air pollution, and overall operating costs of the transport system. Traditional manual toll collection methods contribute significantly to these delays, as vehicles are required to stop for cash or card-based transactions. …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Assessment of LULC changes on Soil Erosion & River Channel Shifting: A case study of Gin Ganga River Basin
Abstract: Abstract- Soil erosion and river channel shifting are critical environmental problems with major socio-economic implications. These issues are exacerbated in areas experiencing rapid land use and land cover (LULC) changes. The study investigates the soil erosion due to LULC Changes and river channel displacement areas of the Gin Ganga River Basin over the period of 2014-2024. Using RUSLE model and GIS-based analyses, mean annual soil erosion were estimated as 0.36 …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 21–32 Read article
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Fast Lanes by Design: Quantifying RFID Electronic Tolling Impacts on Plaza Halt Times in Highway
Abstract: Abstract—Rapid urban growth and the steady rise in the number of vehicles have made congestion at highway toll plazas a persistent and costly problem. Long queues at toll booths not only waste travelers’ time but also increase fuel consumption, air pollution, and overall operating costs of the transport system. Traditional manual toll collection methods contribute significantly to these delays, as vehicles are required to stop for cash or card-based transactions. …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Fast Lanes by Design: Quantifying RFIDElectronic Tolling Impacts on Plaza HaltTimes in Highway
Abstract: Abstract Rapid urban growth and the steady rise in the number of vehicles have made congestion at highwaytoll plazas a persistent and costly problem. Long queues at toll booths not only waste travelers’ timebut also increase fuel consumption, air pollution, and overall operating costs of the transport system.Traditional manual toll collection methods contribute significantly to these delays, as vehicles arerequired to stop for cash or card-based transactions. To address these …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Evidence-Based Nursing Care and Quality of Life of Coronary Artery Disease Patients: A Systematic Review
Abstract: Globally, 60% of deaths are attributed to non-communicable diseases (NCDs), which include cardiovascular diseases (CVDs), cancer, chronic respiratory diseases, diabetes, and others. Among these, ischemic heart disease and stroke are the leading causes, collectively accounting for approximately 17.7 million deaths annually. According to the World Health Organization (WHO), India contributes to nearly one-fifth of these deaths, with cardiovascular diseases affecting the Indian population almost a decade earlier compared to their …
Published in International Journal of Medical Surgical Nursing · Vol. 11, Issue 2, 2025 · pp. 19–23 Read article