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1785 articles for “R S Data analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Study of a Western Disturbance of 2023 Using Satellite-Based Observation, Reanalysis Data, and Numerical Simulation
Abstract: Western Disturbances (WDs) are synoptic-scale, extratropical storm systems that influence winter precipitation across northwest India. This study focuses on a specific WD event that occurred from 24– 25 March 2023, affecting Jammu & Kashmir, Himachal Pradesh, Uttarakhand, and Punjab. The analysis integrates satellite observations, ERA-5 reanalysis data, and simulations from the Weather Research and Forecasting (WRF) model to evaluate the model's performance. The novelty of this study lies in its …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 16–38 Read article
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Review of Reliability and Availability Evaluation of MPPGCL Sirmour Hydropower Station using Markov Modelling
Abstract: AbstractWater is one of the best renewable energy sources available, as we are almost totally dependent on the availability of depleting fossil fuels. Being more reliable and cost effective, hydel energy is attracting more investors and entrepreneurs for investing and establishing hydro power plant. Since maintenance and operation of a power plant is very challenging and complicated process, calculating and analysing its compatibility and reliability is very important. This paper …
Published in Research & Reviews : Journal of Physics · Vol. 5, Issue 1, 2016 · pp. 30–37 Read article
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Comparison of Air Pollution Levels from Ground Monitoring Stations and Satellite Data
Abstract: Air pollution is mainly due to the release of pollutants into the atmosphere which are detrimental to the planet and human health in particular. Monitoring for the air quality parameters is important because it may lead to the adverse effects on the environment. The quantitative analysis of the air pollution spreads over the Bangalore city is carried out using two different data sources, one from ground monitoring stations and the …
Published in Journal of Remote Sensing & GIS · Vol. 12, Issue 3, 2021 · pp. 9–25 Read article
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Analysis and Treatment of Greywater by Using Natural and Chemical Coagulants
Abstract: This project consists of collecting the data related to greywater treatment and analysis. The quality of greywater generated in different, especially, developing countries, constituents found in greywater, some treatment systems and natural materials for treatment, some reuse strategies and public perception regarding greywater reuse. The review shows that generation rates are mostly influenced by lifestyle, types of fixtures used and climatic conditions. Contaminants found in greywater are largely associated with …
Published in Journal of Water Pollution & Purification Research · Vol. 7, Issue 3, 2020 · pp. 1–5 Read article
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Approach to Perform Sentimental Analysis Using Graphology
Abstract: Handwriting is one of the means to foretell the actions of a person by analyzing the shapes, sizes, altitude, convention and stress of the letters. In a rapid world where people are growing with the new technologies every day, sentimental analysis has also become a key tool to analyze the handwritten data, expressing the behavior or the etiquette of a people. We also have tried to perform analysis on the …
Published in Journal of Experimental & Applied Mechanics · Vol. 11, Issue 1, 2020 · pp. 6–10 Read article
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Integration of GIS and AI in Urban Planning and Disaster Management
Abstract: The rapid pace of urbanization, combined with the increasing frequency and intensity of natural disasters, necessitates the development of innovative solutions for urban planning and disaster management. Geographic information systems (GIS) and artificial intelligence (AI) have emerged as transformative technologies capable of addressing these challenges. GIS provides a robust framework for spatial data analysis, while AI enhances decision-making through predictive analytics and automation. This paper explores the integration of GIS …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 20–36 Read article
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VIKSIT BHARAT: Empowering Indians in the Area of Caring Society Culture for National Development
Abstract: This paper examines the vision of Viksit Bharat (Developed India) by focusing on the empowerment of citizens through the cultivation of a “Caring Society Culture.” It argues that sustainable national development in India must go beyond economic indicators and be rooted in societal values such as empathy, mutual respect, and collective responsibility. The study highlights the interplay between social responsibility and national growth, asserting that a society driven by compassion …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 · pp. 37–47 Read article
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Optimizing Customer Care Centre Performance: A Data Analytics Approach
Abstract: Customer care centres are essential in today's competitive corporate environment for ensuring client loyalty and satisfaction. By utilizing data analytics approaches, one may gain important insights regarding performance overall, operational effectiveness, and customer interactions. Data analytics encompasses the analysing, interpretation, and extraction of valuable insights from data to aid decision-making and address intricate issues. Call centre analytics is the process of gathering and evaluating call data to assist companies in …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 34–49 Read article
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Big Data, Big Impact: The Role of Analytics in Modern Business
Abstract: In modern business, “Big Data” signifies the vast amount of data collected from various sources, and “Big Data Analytics” refers to the process of analyzing this data to extract valuable insights, enabling companies to make data-driven decisions, optimize operations, better understand customers, and ultimately gain a competitive edge by identifying trends, patterns, and opportunities that might otherwise be missed. This study analyzes large datasets, by which businesses can gain deeper …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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Assessing The Efficacy of Modern Biodiversity Conservation Approaches: Advancements and Challenges
Abstract: This study aims to offer valuable insights by investigating the advancements and challenges inherent in these strategies. Its objective is to assess whether these contemporary approaches have truly contributed to enhancing biodiversity conservation and fostering the sustainable utilization of resources, as compared to conventional historical practices. This study focuses on the different approaches of conservation and advancements, challenges and comparative analysis of biodiversity conservation. The goal of the biodiversity project …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 1–6 Read article
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Role of Sports in the Development of Motivation as a Psychological Parameter among the Students
Abstract: This research study aimed to assess the role of sports in the development of motivation as a psychological parameter among students. The study's population consisted of both male and female physical education students enrolled in all universities, both public and private universities. KP, Pakistan. Two hundred twenty-six (226) students as a sample of the study. Under the direction of the study supervisor, the researcher created a Likert-type scale with five …
Published in Recent Trends in Sports · Vol. 2, Issue 1, 2025 · pp. 19–23 Read article
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Power of Optical Sensors in Remote Sensing: A Study
Abstract: Imagine having eyes that could pierce the veil of the visible, discerning the subtle whispers of light beyond the spectrum our everyday vision allows. This isn't a superpower from science fiction, but the very essence of optical sensors in remote sensing – our planet's watchful, silent sentinels, meticulously translating the electromagnetic symphony into actionable insights. Optical sensors, operating within the visible, near-infrared, and short-wave infrared portions of the electromagnetic spectrum, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 29–36 Read article
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Intelligent Systems: A study on AI and Machine learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. Artificial Intelligence refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Intelligent Systems: A Study on Artificial Intelligence and Machine Learning
Abstract: Artificial intelligence (AI) and machine learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. AI refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies such …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 61–71 Read article
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Exploring the Role of Teamwork in Enhancing Research Productivity in Yobe State Tertiary Institutions, Nigeria
Abstract: The impact of cooperation on academic scientists' publishing production at tertiary institutions in Yobe State, Nigeria, was the subject of this survey study. Three (3) goals served as the study's guidelines. At the 0.05 level of significance, chi-square (X2) was used to test two (2) null hypotheses The study's target audience consisted of 162 academic scientists, and a survey research design was employed. The study used the total enumeration sampling …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 19–26 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 9–21 Read article
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Ab Initio and Density Functional Theory Studies on D-Serine
Abstract: The Hartee-Fock and density functional method (B3LYP) with 6–311++G (d, p) basis set were employed to study the structural and spectroscopic properties of amino acid D-serine in ground state. The structural and vibrational parameters of amino acid D-serine were obtained using optimised conformer. Using Vibrational Energy Distribution Analysis (VEDA) 4 program and theoretically obtained FTIR and FT-Raman data complete assignment of vibrations and analysis of fundamental modes of the compound …
Published in Research & Reviews : Journal of Physics · Vol. 9, Issue 3, 2020 · pp. 29–45 Read article
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Remote Sensing and GIS-Based Approaches for Soil Salinization Assessment: A Comprehensive Review
Abstract: Soil salinization, a critical environmental challenge, significantly impacts land productivity, agricultural yields, and contributes to desertification, particularly in arid and semi-arid regions. Early detection and effective management of soil salinity are essential for sustainable agriculture and land management. Remote sensing (RS) and geographic information systems (GIS) have emerged as indispensable tools for mapping, monitoring, and analyzing soil salinity over vast areas. RS provides multi-temporal and multi-spectral data that helps identify …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Visual Duplicates in Video using Content based Analysis
Abstract: This paper proposes a technique to detect visual duplicates in video using content-based analysis for analyzing duplicate videos in the database. Content-based analysis refers to analysis of digital media on the basis of features extracted from its contents. The proposed algorithm uses key frames, extracts spatial features and stores them in their respective feature vector. Feature vector stores the features extracted from key frame in numerical form. It then compares …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 1, 2014 · pp. 6–11 Read article