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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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Synergistic Integration of MEMS and Spintronics for Precision Data Analytics in Cheminformatics
Abstract: The transformational potential of merging spintronics and Micro-Electromechanical Systems (MEMS) technologies in cheminformatics is investigated in this work. Recent advancements in MEMS, particularly through the use of microbeam sensors and accelerometers, enhance the precision of data collection and processing, especially in biomedical applications such as drug delivery systems and chemical sensing. The synchronization of oscillations in MEMS devices leads to improved reliability and data accuracy, enabling the development of sophisticated …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 20–26 Read article
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Integrated Water Balance and Water Stress Index–Based Sustainability Assessment of a Semi-Arid Island Ecosystem
Abstract: Freshwater scarcity is an increasingly critical challenge in semi-arid island environments due to limited natural water availability, high dependence on seasonal rainfall, growing population pressure, and expanding agricultural activities. Island ecosystems are particularly vulnerable to water stress because they often lack perennial surface water sources and rely heavily on groundwater recharge during short and highly variable monsoon periods. This study presents a comprehensive assessment of water demand, post-monsoon water availability, …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 26–41 Read article
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Polyhedral Compilation for Imperative Loops: Foundations, Advances, and Emerging Frontiers
Abstract: Polyhedral compilation is a mathematically rigorous framework that models imperative loop nests as sets of integer points constrained by affine inequalities, enabling precise reasoning about data dependences and the legality of complex program transformations. Over the past decade, this framework has evolved from an academic formalism into a practical compiler technology deployed in production compilers, high-performance computing libraries, and machine learning acceleration toolchains. This review surveys the theoretical underpinnings of …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 7–15 Read article
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An Overview on Time Series Data Clustering
Abstract: This paper gives an overview on time series clustering, which is an important topic now days. Time series data is has importance because of its applications, such as financial data processing like Stock Exchange, network monitoring, web click-stream analysis, sensor data mining, marketing research, and anomaly detection. Therefore in the data mining clustering such data is an important issue. Time series data are a special type of data set and …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 3, 2014 · pp. 6–9 Read article
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Survey on Web Analytics
Abstract: AbstractWeb analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage. However, Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research, and to assess and improve the effectiveness of a website. Web analytics applications can also help companies measure the results of traditional print or broadcast advertising …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 3, 2020 · pp. 20–24 Read article
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Stress Perception among School-age Children
Abstract: Introduction: Prosody is the inflection embedded in speech. The perception of prosody is necessary to understand a spoken utterance, especially to appreciate the intricacies of languages. The influence of prosody is also beyond the boundaries of a sentence and provides speech its emotional tone. Prosody or the supra-segmental is made of stress (accent), intonation (pitch patterns) and the rhythmic (timing) pattern of language. Acoustically, it is described in terms of …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 6, Issue 2, 2019 · pp. 4–9 Read article
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Land Use and Land Cover Analysis of Jharkhand Using Satellite Remote Sensing
Abstract: IRS P6 LISS III data was used to delineate different land use/land cover classes of Jharkhand using visual interpretation technique. Tone and texture were found most important for interpretation of different objects. A total of 42 classes of different land use/land cover categories were interpreted. Agricultural land with current fallow and forest areas dominated the landscape of Jharkhand by occupying 49% and 30% of total geographical area, respectively. Built-up (urban …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 1, Issue 1-3, 2012 · pp. 22–31 Read article
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Fundamental Challenges of Statistical Education
Abstract: The statistical requirements of research, technology, industry, and government are enormous and expanding rapidly, resulting in a statistical worker shortage. The exponential development in processing power and data collection capabilities is partly to blame for the rise in demand for data analysis. Simultaneously, there is a concerning trend among quantitative investigators and technical employees to approach problems with crude equipment and unsophisticated attitudes. Our discipline has produced a wealth of …
Published in Research & Reviews : Journal of Statistics · Vol. 11, Issue 1, 2022 · pp. 3–6 Read article
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Sophisticated instrumental analysis of Trinakantamani Pishti by various methods.
Abstract: Trinakantamani Pishti was prepared by reference of Bheshaja Samhita, Bhasma-Pishti Prakarana 1 , which is indicated for Vataja, Pittaja and Kaphaja Galagraha, Gala Granthi, Gandamala. Aim- to standardize Trinakantamani Pishti pharmaceutically. Methods- Trinakantamani Pishti was prepared as per reference of Bheshaja Samhita, Bhasma-Pishti Prakarana and it was analysed by various sophisticated instrumental analysis method like SEM (Scanning Electron Microscopy) and EDX (Energy Dispersive Spectroscopy), X-ray Diffraction (XRD), Particle size analysis …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 10, Issue 1, 2023 · pp. 7–13 Read article
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Analysis of Transcription Factor Binding Sites of Co-expressed Genes in Colorectal Tumor by Microarray Data Analysis
Abstract: The utilization of global gene expression profiling to find genes with similar expression patterns is rapidly becoming an extensive approach for understanding the complex cellular processes and disease mechanism. The polygenic nature of colorectal tumor, one of the most deadly cancers worldwide is believed to be caused not only by defects in single gene, but rather by the variation in multiple genes and their complex interactions. However, the regulatory mechanisms …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 3, 2015 · pp. 8–14 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Ethical AI and Data Protection in the Era of Industry 5.0
Abstract: This paper provides a comprehensive analysis of the critical intersection between Responsible AI (RAI), data privacy, and the Industry 5.0 paradigm. Industry 5.0, defined by its human-centric, sustainable, and resilient pillars, introduces a fundamental paradox: its core requirement for human-AI collaboration necessitates the collection and processing of granular human data, creating direct conflicts with emerging global data privacy and AI regulations. This research utilizes a systematic integrative review methodology, analyzing …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
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Modeling of Temperature Data of Coal Samples by Event-Time Continuum Analysis
Abstract: Time-event based analysis of temperature data modeling for coal samples by thermal camera and type-k thermocouple in algebraic approach are presented in this paper. Obtaining of different value for an identical factor, temperature (T), from coal and analysis of their acquiring mechanism in the light of mathematical morphism (→) are required to be defined with respect to time yet. Without proper interconnective function between two individual data modeling techniques of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 6, Issue 1, 2016 · pp. 16–35 Read article
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Production and Utilization Pattern of Milk and Milk Products in Rajasthan: An Empirical Study
Abstract: The study was aimed to assess the inter-regional differences existing in production and utilization pattern of milk and milk products across regions in Rajasthan. The regions identified for the study were South and South-Eastern plains (S&S-E plains), Transitional & Eastern plains (T&E plains) and North and North-Western plains (N&N-W plains). The data was collected from 120 milk producing households spread across six villages (2 villages from each region) and from …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 11, Issue 1, 2022 · pp. 27–35 Read article
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Recent Update on Advanced Drug Delivery System
Abstract: Over the past decade, there has been a growing interest in the use of artificial intelligence (AI) technology for analysing and interpreting biological or genetic data, accelerating drug discovery, and identifying selective small-molecule modulators or rare molecules in addition to predicting their behaviour. The use of artificial neural networks (ANNs) for the rapid analysis of massive amounts of data, the development of novel hypotheses and treatment plans, the prediction of …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 22–30 Read article
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Patient Profile and Antimicrobial Susceptibility Testing of Clinically Isolates In E. coli
Abstract: Escherichia coli, commonly known as E. coli, is a prevalent bacterium capable of causing infections in humans. The development of antimicrobial resistance in E. coli poses a significant public health issue. This study aimed to determine the patient profile and antimicrobial susceptibility patterns of clinically isolated E. coli. A retrospective study was carried out on E. coli samples collected from clinical specimens within a hospital environment. Patient profiles, including age, …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 1, 2024 · pp. 32–47 Read article
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Multivariate Analysis of The Determinants of Undernutrition in Under-Five Children In Zimbabwe
Abstract: Background: Undernutrition is one of the leading causes of infant mortality in developing countries including Zimbabwe. The main objective for the study was to model the relationship between undernutrition and individual, household and community level determinants. Material and methods: Secondary data analysis of the 2019 Multiple Indicator Cluster Survey (MICS) was performed using the merged children and household datasets. A total of 6223 children’s data was used for the study. …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 9, Issue 3, 2022 · pp. 9–19 Read article
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Barriers Towards Implementation of Caring, Respectful and Compassionate Healthcare Practice in Tigray Regional State, Ethiopia: A Qualitative Study
Abstract: Background: Patient-centered care is a type of care that is respectful, responsive to the preferences and values of patients. Though policy-makers increasingly adopt systems to enhance person-centred care for patient’s empowerment and improvement of the quality of care, the barriers to implement must be identified continuously so as to give a timely solution. Objective: The aim of this study was to explore barriers towards implementation of caring, respectful and compassionate …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 3, 2018 · pp. 33–38 Read article
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Flood Inundation Mapping for using Sentinel-1 SAR Data for Assam during 2018
Abstract: This paper is focusing on the flood inundation mapping of Hailakandi, Assam flood during 2018 using Sentinel 1 Single Look Complex (SLC) and Ground Range Detected (GRD) data. For the analysis of water pixels, pre and post event images of SLC and GRD data were downloaded with similar specification such as same date, pat and row. Supervised classification is performed with the pre and post event of the study area …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 2, 2019 · pp. 16–25 Read article
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Process Parameter Optimization of Magnesium Alloy Material Welded by Friction Stir Welding Using UTM and Taghuchi Approach
Abstract: Welding is a fabrication process where materials are fused together which may similar or dissimilar according to requirement. Welding is a systematic approach where dissimilar and similar materials are welded with an application of heat. Friction stir welding (FSW) is a welding method where metals are converting to a molten phase and with a desirable application of pressure leads to metal joining. FSW is a metal joining process used in …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 381–392 Read article