International Journal of Innovations in Engineering Research and Technology
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    IMPORTANT STEPS TOWARDS THE DEVELOPMENT OF OUR NATIONAL HERITAGE - WRESTLING

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    During the former Soviet era, not enough attention was paid to our national struggles and their development, which were part of our national and cultural heritage. On the contrary, instead of preserving it, it has been used for planned purposes. As a result, the centuries-old forms of national wrestling have been shortened, and two of them have survived to the present day. But since independence, as in other areas, important steps have been taken to develop the struggle, which is our national heritage. This article addresses this issue

    AI IN EDUCATION: PERSONALIZED LEARNING PATHWAYS USING MACHINE LEARNING ALGORITHMS

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    The integration of artificial intelligence (AI) in education has revolutionized the way personalized learning pathways are developed, offering tailored educational experiences that cater to individual student needs. This paper explores the application of machine learning algorithms to create adaptive learning systems that assess students’ unique strengths, weaknesses, and learning styles. By analyzing vast amounts of educational data, these algorithms can predict student performance, recommend customized learning materials, and adjust instructional strategies in real time. We present a comprehensive review of existing literature on personalized learning, highlighting the benefits and challenges associated with AI-driven educational tools. Case studies demonstrate successful implementations of machine learning in various educational contexts, showcasing improvements in student engagement, retention rates, and academic achievement. Furthermore, the paper discusses ethical considerations, data privacy concerns, and the importance of human oversight in the deployment of AI systems in education. Ultimately, our findings suggest that machine learning has the potential to significantly enhance the effectiveness of educational practices, paving the way for a more personalized and inclusive learning environment

    PERFORMANCE EVALUATION OF FILTERUSED IN MICRO-IRRIGATION SYSTEM

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    Water is a key input for all agricultural practices. It plays a vital role in progress of agriculture in form of irrigation. This research conducted has the objective to evaluate filtration efficiency on water quality. The filtration efficiency was determined for the known concentration of impurities i.e. 100, 200, 300 and 400 ppm for sand, screen and disc filter at three constant flow rates viz. 1.5 lps, 2 lps and 2.5 lps. The pressure drop characteristics were monitored at inlet and outlet of the filters. The result of experiment depicts that the filtration efficiency decreased with increase in levels of concentrations of impurities. The efficiency of the disc filter was found maximum, followed by the screen and sand filter. The pressure drop across the filter increased with different levels of concentration of impurities with elapsed time and flow rates. It was found that the time required to develop 5 m of pressure drop across the disc filter was minimum, followed by the screen and sand filter

    ANALYTICAL STUDIES OF CU(II),NI(II) AND PD(II) COMPLEX WITH 3- PHENYL-QUINAZOLIN-4(3H)-ONE-2-CARBOXALDEHYDOXIME

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    3-Phenyl quinazolin-4-(3H)-one-2-carboxaldehydoxime forms water insoluble chelates with Cu(II), Ni(II) and Pd(II). It has been found to be a selective reagent for the gravimetric estimation of these metal ions in presence of many interfering ions. All the che lates have 1:2 (metal: ligand) stoichiometry as shown by Job\u27s method of continuous variation and elemental analysis. Structures of the metal chelates have been established on the basis of magnetic measurements, visible and IR spectra

    A CRITICAL REVIEW ON THE AUTOMATED METHODS AND SYSTEMS FOR CONSTRUCTION PLANNING AND SCHEDULING

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    Automation in Construction Scheduling Methods and Systems is the primary focus of this article. One of the most important and difficult aspects of managing and completing construction projects is creating and updating construction plans and schedules. Each work must be defined and its resource and timeframes estimated, as well as any interconnections that may exist between the tasks. The budgets and project timeline are both built on a solid building plan. Although it may not be written down, developing a construction plan is essential in managing a project [1]. Making management choices concerning the connections involving construction stakeholders and perhaps even which companies to participate in a project may be important regarding such specific components of design development. For instance, decision-making about the utilization of subcontracting on a project is often made during the preliminary stages. Consequently, these stages are essential components of integrating all of the project management operations over a whole construction project, starting from the very beginning and completing it [1]. Different, yet linked, are these two. Without the other, neither will operate. It is essential, to begin with, thorough planning of the construction project, which involves identifying all of the necessary steps as well as policies and procedures to be implemented. When the building project has been designed, the next step is to schedule it, which involves breaking the high-level operations into more particular tasks

    CHARACTERIZATION OF INDUCED ORDER STATISTICS FROM RAYLIEGH BIVARIATE DISTRIBUTION

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    In this paper, a new bivariate distribution, using the concept given by Mongestern (1956), has been derived from univariate Rayleigh distribution. This new bivariate Rayleigh distribution is then considered to obtain the Induced (concomitants) order statistics. We have finally derived the probability density function of a single and joint induced order statistics and have obtained their moments to characterize the distribution

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