algorithms
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A Comparative Study on Various Machine Learning Techniques for the Prediction of Cardiac Ailment
Abstract: Over the last couple of decades, cardiovascular complexities have become the leading source of death in impoverished regions. With heart attack rates on the acceleration at a youthful age, it is necessary to put in place a process to recognize the symptoms of a heart attack early and thus limit it. It is impossible for a common man to often undergo expensive tests such as an ECG and thus there …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 25–30 Read article
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A Review on Neural Networks and its Applications
Abstract: Neural Networks have been a hotspot domain for researchers due to its increasing area of applications in areas where huge amounts of data is used and the main goal is to infer patterns out of it. This passage offers an assessment of Neural Networks and their pragmatic uses in real-world situations. It provides information regarding the basic structure of Neural Networks and its working principles. There are also brief introductions …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 60–71 Read article
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Empowering Machine Learning: Unraveling Algorithms, Real-world Use Cases, and Evolving Research Trends
Abstract: Machine learning has brought about a revolutionary transformation across numerous industries, offering automated solutions to intricate problems. This article aims to delve into the realm of machine learning algorithms, exploring their real-world applications and the evolving research directions in this rapidly advancing field. The paper presents a comprehensive overview of popular machine learning algorithms, encompassing supervised learning, unsupervised learning, and reinforcement learning, while elucidating the underlying principles that govern them. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 70–79 Read article
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Statistical Modeling: New Trends and Applications
Abstract: Statistical modeling plays a crucial role in various fields, aiding in decision-making, prediction, and inference. This article presents a comprehensive review of recent literature to identify and discuss the emerging trends in statisticaL modeling. The methodology involved a systematic search of relevant databases using specific keywords and selection criteria. The review highlights the limitations of traditional statistical modeling techniques and emphasizes the need for advancements in the field. The findings …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 1, 2023 · pp. 39–43 Read article
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Experimental Study on Heart Disease Prediction Using Different Machine Learning Algorithms
Abstract: Heart disease which can also be referred to as the cardiovascular disease is one of the raising concerns in today’s world. It is one of the major health problems causing death among humans irrespective of the age group and therefore has made it necessary to look into different medical factors that are required to predict the same in advance using the collected historical datasets of various patients. Thus we have …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 17–23 Read article
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A Study on Computer Vision: Techniques, Algorithms and Application
Abstract: This study gives a brief explanation or idea about what computer vision is and how it is implemented. Computer vision has so many different applications which are being used and are also under development for future enhancements. All this information can be found here in this research work. Computer vision is a branch of computer science that aimed at developing digital system, which is capable of processing, analysing, and comprehending …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 1–8 Read article
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Optimization algorithms for multi objective problems and its application to sustainable sources for supplementing energy crisis
Abstract: Optimization, also called mathematical programming, is a collection of mathematical ideas and techniques used to solve quantitative issues in a variety of areas, including physics, biology, architecture, economics, and business. The subject evolved out of the recognition that quantitative issues in apparently disparate disciplines share significant mathematical features. As a result of this similarity, a wide variety of issues can be articulated and solved utilising the unified set of concepts …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 1, 2022 · pp. 19–25 Read article
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Predicting Parkinson’s Disease: Python Machine Learning
Abstract: Parkinson's disease is a progressive neurological disease that affects a large number of people and has a significant impact on their quality of life. Human motor function is mostly affected by this condition. "Parkinsonism" or "Parkinsonian" syndrome refers to the primary motor symptoms. Parkinson's disease causes tremors, rigidity, slowness of movement, and trouble walking, as well as changes in thinking and behaviour. Anxiety and despair are frequent as well. It …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 38–41 Read article
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Flow shop scheduling with WWO
Abstract: This paper focuses on reviewing the method used to solve the problem of flow shop scheduling using one of the efficient nature inspired algorithm that is water wave optimization. It has been proven to be one of the most efficient method of optimization in every field and us widely used nowadays because of its methodologies and efficiency. The Water Wave Optimization can be used for various different types of flow …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 2, 2021 · pp. 48–53 Read article
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Simulation of Image Processing and Restoration Through A Base Image Using Matlab
Abstract: Basically, in image processing the main work is done on pixels and its value. Basically, an image is a two-dimensional function f(x, y), where x and y are spatial coordinates. Here, in the present study geometrical transformation is being used for image restoration and processing. Steps are carried some for the result outcome. First the image is read in the algorithm, further the coordinates and pixels are being specified, and …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 1, 2021 · pp. 31–40 Read article
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Simulation of Image Processing using Linux Operating Systems
Abstract: AbstractImage processing and restoration through a base image can provide useful information about the scene, such as saliency and depth map. We first apply the geometric transformation algorithm for restoration of the blurred image. As suggested in the base paper that the geometric analysis will provide us the fine feature available in the image, we have utilized this algorithm for the purpose of image restoration. Measuring the amount of blur …
Published in Journal of Advances in Shell Programming · Vol. 7, Issue 3, 2020 · pp. 16–22 Read article
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Applying Computational Intelligence in Software Testing
Abstract: This paper describes two computational techniques that can be used to automate generation of test cases. These techniques are Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Both the algorithms are evaluated by varying parameters and recording the change in the results. A comparative study based on the results of these algorithms is also done. Cite this Article Saumya Dixit, Pradeep Tomar. Applying Computational Intelligence in Software Testing. Journal of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 2, 2015 · pp. 7–11 Read article
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Application of WSN to Study the Effect of Climate Change on Human Health
Abstract: Wireless Sensor Network (WSN) technology is becoming increasingly popular, particularly as applied to a variety of monitoring and tracking applications. Climate change impacts both the environment and human activity, and imposes a range of new challenges for research, technology development, and knowledge and information exchange. WSN enables monitoring and management of a large set of environmental data including climatic, atmospheric, plant and soil parameters that influence cropland growing environments. Real-time …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 0, Issue 0, 2012 · pp. 91–96 Read article
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Off-Line List Accessing Algorithms with Circular Doubly Linked List and Partial Cost Model
Abstract: List Accessing Problem (LAP) has been an interesting and challenging research area for computer scientists since last four decades. Various algorithms have been developed to access the records by different researchers with an intention to minimize the cost of traversal. This paper describes two newly proposed algorithms, which are variants of FC and MTF for circular doubly linked list with the use of partial cost model. A theoretical as well …
Published in Current Trends in Information Technology · Vol. 1, Issue 1, 2011 · pp. 16–22 Read article