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24 articles for “dashboard analysis”
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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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Literature Review on Real-Time Dashboard Systems in Healthcare and Education
Abstract: Real-time dashboards are revolutionizing data analysis and visualization within education and healthcare, highlighting the realms of online learning analytics and emergency medicine. Such systems maximize decision-making power, efficiency of workflows, and awareness in real time. The literature review below explores diverse methodologies, benefits, and pitfalls, and presents suggestions for potential avenues for research in the future. Growing access to data and advancements in visualization and analytics technologies have given rise …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 01–05 Read article
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Virtual Machine Cost & Computing comparison between cloud service
Abstract: Cloud computing has revolutionized enterprise IT infrastructure with virtual machines forming the cornerstone of Infrastructure as a Service deployment. This study provides a detailed comparative evaluation of virtual machine pricing and computational performance among three leading cloud computing platforms: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Through quantitative analysis of current pricing data from September 2025, independent performance benchmarks from Cockroach Labs 2021 Report, and market …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 2, 2026 Read article
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A Data-driven Approach to Sales Analysis
Abstract: Decisions made using data from digital sources are said to be data-driven when they are analysed and interpreted. Across many sectors, a data-driven approach is an effective technique for gaining insights, making wise choices, and guiding corporate strategy. This study covers the concept of data analytics in sales analysis of bakery and mess. It involves evaluating diverse types of information, including sales data, customer preferences, production costs, and supplier details. …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 29–41 Read article
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An Optimization Technique to Resolve Real time Monitoring using IoT for Smart Energy Meter
Abstract: This paper presents an IoT-based smart energy meter designed for accurate, real-time monitoring of household and industrial electrical consumption. Customers and system operators can view real-time patterns of energy consumption with an easy-to-use web-based dashboard. Users can obtain important insights into their electricity consumption through graphical representations and historical data analysis, allowing for more efficient load management, energy conservation, and cost optimization. Users can obtain energy data from any location …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 33–40 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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IoT-Based Power Monitoring System
Abstract: Today, in many smart systems, IOT plays an important role. It is mostly used in power monitoring, Household applications, and also in industrial applications. In that, power is the most important thing that is to be monitored, controlled and properly utilized. In this paper, a system is designed for monitor and control the street lights of particular area. With the help of LDR, power consumption is possible. Customers and system …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 16–24 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix
Abstract: Infrastructure projects, particularly in civil engineering, are fraught with uncertainties that manifest as both physical and financial risks. The project report, titled Quantifying and Managing Financial and Physical Risks in Infrastructure Projects, aims to bridge the existing gap between managing these two critical categories of risks. By integrating advanced statistical methodologies such as Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Risk Matrix, and Regression Analysis, this study …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 34–46 Read article
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Optimizing Green Composites for Automotive Applications Using Taguchi-Based Grey Relational Analysis
Abstract: The increasing demand for sustainable and lightweight materials in the automotive industry has driven the exploration of green composites as an alternative to conventional synthetic composites. This study focuses on optimizing the mechanical properties of green composites using Taguchi-based Grey Relational Analysis. Four natural fibers—pineapple, sisal, coir, and Nava—were reinforced with cashew resin and synthetic resin matrices, incorporating silica and granite fillers of varying sizes. Key properties, including hardness, impact …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 743–754 Read article
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Enhancing Farm Efficiency with IoT-Driven Real-Time Monitoring and Analysis
Abstract: This project proposes an Internet of Things (IoT) solution for enhancing agricultural practices by leveraging real-time data monitoring and analysis. The system utilizes NodeMCU, DHT11, pH sensor, soil moisture sensor, and an LCD display for data collection and visualization. NodeMCU facilitates internet connectivity, enabling the transmission of data to the ThingSpeak platform. Temperature and humidity are measured by the DHT11 sensor, and soil acidity is tracked by the pH sensor. …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 9–15 Read article
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Iot Based Environment Monitoring System
Abstract: Pollution combined with climate change is creating long-term problems for natural resources. Their impact on soil, air, and water cleanlinessis growing, requires smart, immediate solutions. In this paper, we report on an IoT-based Environment Monitoring System whose purpose is to monitor the air quality, temperature, humidity, and soil moisture content. It consists of an Arduino Uno, gas sensors (MQ135, MQ9, MQ6), a temperature sensor LM35, a soil moisture sensor, and …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 8–14 Read article
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Research Paper on Thermal Comfort Analysis of Tractor Considering Multi-Parameters
Abstract: The main functions of a vehicle cabin are to provide a comfortable and relaxing environment for its operator and to protect them from vibrations, noise, and other adverse influences. Modern agricultural tractor cabins are complicated, high-efficiency systems, and the goal of their development is to reduce their negative influence on the environment. Main factors for thermal comfort are the dry-bulb temperature, relative humidity, surrounding surface temperature, and air motion. A …
Published in Journal of Mechatronics and Automation Read article
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A MediStream Application: Integrated Application for Patient Data and Medical Oversight
Abstract: Maratha Vidya Prasarak Samaj (MVPS) has periodic health check-ups for the students and teachers, however, traditional paper-based records systems are prone to inefficiencies, data loss and administrative overhead. To resolve this issue, a Student Health Record System that is digital in nature is proposed which ensures up-to-the-minute security and management of health information. The system is built with JavaScript, XML, Fire base and offers role-based access for administrators, doctors, interns, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 1–6 Read article
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AutoGen Bike: A Self-Sustaining Smart Electric Bike with Integrated AI Safety Systems
Abstract: This is the paper which gives the information about the self-sustaining electric bike. This also tells the idea about how energy is produced during its usage. The “Auto gen bike” is the most useful aspect that can change the future of the electric bikes. This also helps in the conservation of natural resources and nature. This also helps in the accidents happening to the two-wheel vehicle. This is achieved by …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 41–49 Read article
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Real-Time Analysis of E-Waste Monitoring Using Data Visualization in Power BI
Abstract: The exponential growth of electronic waste (e-waste) in India poses significant environmental and public health challenges, necessitating robust monitoring, management, and disposal strategies. This project, Real-time analysis of e-waste generated across different countries in the world and also survey report of India, seeks to provide a comprehensive assessment of e-waste production patterns, utilizing real-time data to capture dynamic shifts in waste generation and collection. By leveraging Power BI for advanced …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 1–7 Read article
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Gatividhi Guard: The Activity Guardian—Revolutionizing Security Information and Event Management (SIEM) Technology
Abstract: In the dynamic landscape of cybersecurity, organizations confront increasingly intricate cyber threats that necessitate sophisticated security measures. Conventional systems such as Security Information and Event Management (SIEM) systems face ongoing challenges, they often struggle to effectively detect and mitigate sophisticated attacks within extensive data sets. To address these limitations, the introduction of Gatividhi Guard signifies a paradigm shift in SIEM technology. Gatividhi Guard is an innovative SIEM platform leveraging advanced …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 1, 2024 · pp. 29–44 Read article
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Log Identification and Monitoring System Using Generative AI
Abstract: In contemporary software ecosystems, application and infrastructure logs play a vital role in ensuring system reliability, performance optimization, fault diagnosis, and security compliance. As applications become increasingly distributed and cloud native, the volume, velocity, and variety of generated log data have grown dramatically. This rapid expansion makes traditional manual log inspection inefficient, error-prone, and largely impractical. To address these challenges, this paper proposes an artificial intelligence (AI) driven log monitoring …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 08–16 Read article
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IoT-Based Real-Time Weather Monitoring System
Abstract: In the evolving landscape of the Internet of Things (IoT), real-time environmental monitoring has become increasingly vital across various domains, including agriculture, smart cities, and climate research. This study presents the design and implementation of an IoT-based real-time weather monitoring system that utilizes the ESP32 microcontroller in conjunction with AWS cloud services. Temperature and humidity data are captured using onboard sensors and transmitted using the MQTT protocol to AWS IoT …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 19–25 Read article
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Smart Air Quality Monitoring System using IoT
Abstract: This paper presents the design and implementation of a Smart Air Quality Monitoring System using the ESP32 Wi-Fi microcontroller integrated with an MQ-2 gas sensor and a DHT-11 temperature and humidity sensor. The system continuously monitors environmental parameters including air quality (smoke, LPG, CO, and other combustible gases), temperature, and relative humidity in real time. The acquired sensor data is transmitted wirelessly to the Blynk IoT platform, enabling users to …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article