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1202 articles for “Analytical”
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Artificial Intelligence -Driven in Clinical Pharmacy Practice: Transforming Medication Management and Patient-Centred Care
Abstract: Artificial intelligence (AI) is transforming clinical pharmacy practice by enhancing the safety, accuracy, and efficiency of medication management while supporting evidence-based clinical decision-making. Recent advances in machine learning, deep learning, natural language processing, and predictive analytics have enabled the integration of AI into various aspects of pharmacy practice, including drug discovery, pharmacovigilance, clinical decision support, personalized medicine, medication adherence, and patient counselling. The objective of this review is to provide …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Personalization in E-Commerce and Its Impact on Customer Satisfaction
Abstract: In e-commerce, personalization is the process of customizing online shopping experiences based on each customer’s preferences, past purchases, and behavior. E-commerce platforms are increasingly using tailored content, targeted ads, and personalized recommendations to improve the user experience due to the rapid development of digital technologies and data analytics. Providing customers with pertinent goods and services is the primary goal of personalization, which increases convenience and engagement. By improving the efficiency …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 33–44 Read article
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A Survey on Big Data Storage Issues in Cloud Computing Environment
Abstract: AbstractBig data is the collection of large set of data which holds many intelligence and raw information. In the digital world, handling and updating large volume of data in the real-time environment is a challenging task. This paper presents a compressive discussion on analytical techniques and processing methods for analysing the applications of big data with the purpose of constructing valuable information in cloud computing environment. This research aims to …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 1–5 Read article
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Dynamic System for Performance Analysis of Information Interchange
Abstract: AbstractData surpasses to the storing and processing capacity is termed as Big Data. Big Data is a catchword that defines the cumulative volume of data neighboring every phase of human life cycle. It states to the concept that each and every sector that perform task can be enumerated and logged in a series of data that is growing at an extraordinary rate. This Big Data is all about finding the …
Published in Journal of Advancements in Robotics · Vol. 6, Issue 1, 2019 · pp. 1–17 Read article
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Design and Development of OLAP Tool for Data warehousing
Abstract: The complex information requirements and the ever-growing demand for increasingly sophisticated data analysis sparked the creation of a new type of data repository. This repository contains data in formats that facilitate data extraction, data analysis, and decision making. This data repository is known as decision support systems. The need for more intensive decision support On Line Analytical Processing (OLAP), create an advanced data analysis environment that supports decision making, business …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 3, 2018 · pp. 8–13 Read article
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A Survey on Big Data and Its Benefits and Challenges
Abstract: AbstractThe objective of this article is to spectacle the benefits and vital issues of big data and its several challenging factors in companies and organization. It also expresses which kind of big data companies are expected for their needs and how much big data is designed for produced. Innovative resources of big data include location specific data arising from traffic management, and from the tracking of personal devices. With such …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 2, 2017 · pp. 1–7 Read article
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Optimal Simultaneous Power and Rate Adaption of Communication System over Inverse Gamma Shadowed Channels
Abstract: Adaptive capacity analysis to model various emerging wireless fields like vehicle to vehicle communication, cellular and off-body communication based on inverse gamma shadowed fading mathematical model is derived. The derived algebraic model for optimal simultaneous power and rate adaption (OPRA) is mathematically tractable in terms of numerical and analytical handling. A novel closed form model for OPRA is derived in terms of Digamma and Meijer’ s-G functions. This derived exact …
Published in Journal of Operating Systems Development & Trends · Vol. 6, Issue 1, 2019 · pp. 23–26 Read article
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Design and Simulation of Proximal Convoluted Tubule Flow Kinetics for Kidney-on-chip Applications
Abstract: The primary function of human kidney is purifying the impure blood in the body. In addition to this, kidney performs balance homeostasis, solute balance and blood pressure maintenance. Proximal convoluted tube (PCT) is a primary part in the nephron which plays a crucial role in the excretion, secretion and re-absorption of solutes and proteins. While performing all these functions, kidneys tends to get affected in several ways leading to failure …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 1, 2020 · pp. 14–21 Read article
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Coarse Grain to Mixed Grain Parallel Computing
Abstract: Parallel computing interests are growing again as a result of multicore processors. History of parallel computing dates back to early 1970’s when supercomputers supported high performance computing demand for scientific applications. Today, highly dense Very Large Scale Integration (VLSI) chips have opened up new opportunities and challenges for parallel computing. In this article, we provide a short synopsis of an evolutionary path of parallel computing from both hardware granularity and …
Published in Recent Trends in Parallel Computing · Vol. 1, Issue 2, 2014 · pp. 1–10 Read article
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Quantum Data Harmonization: Resolving Disparate Information Realms with AI-driven Data Science
Abstract: The proliferation of heterogeneous data structures across fragmented information systems hampers insights derivation necessitating harmonization methodologies reconciling multidimensional datasets for collective analytics. This article reviews quantum techniques leveraging qubit superposition for probabilistic data transformations as a novel data harmonization paradigm tailored for varied schemas commonly confronting interdisciplinary analyses spanning healthcare, finance and environmental domains. Hybrid quantum-classical algorithms and AI-based automation workflows hold promise coordinating dispersed data pools through learned mappings …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 2, 2023 · pp. 34–38 Read article
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Customer Preference About Tourism using Opinion Based Mining/Sentiment Analysis
Abstract: The article can help researchers and practitioners who want to collect, gather and analyse social media data. Innovation and the Internet have significantly modified how travel is booked, the relationship between travellers and the travel industry, and how vacationers share their travel experiences. Because of this assortment of choices, mass the travel industry markets have been scattering. Be that as it may,the worldwide interest has not fallen; a remarkable opposite, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 3, 2021 · pp. 24–28 Read article
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Big Data: How Universities Use Big Data for Admission
Abstract: The advent of big data has transformed the manner in which businesses handle, store, and oversee data. In the realm of extensive analytics, cloud computing has emerged as an indispensable resource, offering scalable and budget-friendly solutions for managing substantial data loads. This paper delves into the influence of big data on the university admission process, commencing with a definition of big data. It explores the advantages of employing big data …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 3, 2023 · pp. 24–29 Read article
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Surface Plasmon Resonance (SPR) Based Dual Channel Optical Waveguide for Biosensing Application
Abstract: Surface plasmon resonance (SPR) biosensor is one of the optical sensors that exploit the specific properties of electromagnetic waves. Thus, SPR biosensors can be used for real time monitoring in the field of environmental science. It is a label-free technique that is used to detect biological analytes and analyze the binding interactions between a molecule in the liquid sample and an immobilized biomolecular recognition element that is placed on the …
Published in Recent Trends in Sensor Research & Technology · Vol. 3, Issue 2, 2016 · pp. 29–35 Read article
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Damping Analysis of Composite Drive Shaft using Computational methods
Abstract: Drive shaft used in automotive is a critical component which comes under the influence of different types of loads in operation. Torsional loading is one of the prime causes contributing to its failure. Most of the research on drive shaft was focused on evaluating natural frequency, torsional strength, buckling torque using analytical approach and also using FEM. This project work deals with the analysis of damping behavior of E-glass/epoxy composite …
Published in Trends in Mechanical Engineering & Technology · Vol. 4, Issue 2, 2014 · pp. 33–38 Read article
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Forest Fire Hazards Vulnerability and Risk Assessment in Bhajji Forest Range of Himachal Pradesh (India): A Geospatial Approach
Abstract: The vulnerability of the Indian forests to fire varies from place to place depending upon the type of vegetation and climate. The coniferous forest in the region is very prone to fire. Objective of the current work is to prepare a model which articulate the forest fire risk and assess the fire vulnerability so that the concerned authorities can minimize the fire danger. Fire hazard mapping was performed using knowledge …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 1, 2017 · pp. 25–40 Read article
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Level Control using Bode’s Integral
Abstract: Normal 0 false false false EN-IN X-NONE X-NONE PID controllers are widely used in industrial plants. Usually a first or a second order model with time delay is used. Many a times even if the plant model is perfectly known, it leads to a set of nonlinear equations for which no analytic solution is available. An advanced method tries to find a solution by numerical methods or to simplify the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 3, Issue 2, 2013 · pp. 16–31 Read article
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Studies on Phytochemical analysis of Citrus sinensis
Abstract: Citrus sinensis, also known as sweet orange, is an extensively grown fruit with extensive nutritional and medicinal significance. The present study focussed on the phytochemical analysis of C. sinensis, aiming to identify and quantify the bioactive compounds present in its various plant parts. The investigation encompassed the extraction, isolation, and characterization of secondary metabolites, including flavonoids, alkaloids, terpenoids, phenolic compounds, and essential oils. The research employed a combination of classical …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 13, Issue 3, 2023 · pp. 9–14 Read article
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Review on UV – Visible Spectroscopy and HPLC
Abstract: Like Fourier-transform infrared spectroscopy, UV-visible spectroscopy is used to determine the purity of pharmaceutical compounds. Many substances have chromospheres, which absorb certain wavelengths of ultraviolet or visible light. Using the Beer–Lambert equation, the absorption of spectra obtained from these samples at given wavelengths can be directly related to the sample concentration. Normally, UV and UV-visible spectra are recorded at high and low pH, and the results of both are compared …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 13, Issue 1, 2022 · pp. 43–54 Read article
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An Alternative Robust Measure of Outlier Detection in Univariate Data Sets
Abstract: A univariate outlier is a data point that consists of an extreme value on one variable. Here we applied two types of outlier detection methods: one is graphical and another is analytical. This paper presents graphical methods for different statistical outlier detection such as scatter diagram, box plot and normal probability plot. Furthermore, the quantitative methods for outlier detection in this paper are the IQR method, SD method, Z-score method, …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 1, 2019 · pp. 1–11 Read article
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Preparation of Tamra Bhasma (Copper) by Niragni (Solar Energy) Method
Abstract: The metal Tamra (Copper)is mentioned in Ayurveda with a wide range of therapeutic utilities. Considering the significance of Tamra in therapeutics, many studies have been carried out at different centers of India. The main purpose of this study was to discover an ecofriendly, cost-effective and easy method of preparation of Tamra Bhasma. Method adapted was, purified Tamra Patra (Copper plate) mixed with Kajjali (a mixture of purified Parada and Gandhaka) …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 6, Issue 3, 2019 · pp. 49–53 Read article