Search
541 articles for “economic data”
-
A Comprehensive Review of Statistical Analysis Techniques in Economic Data Studies
Abstract: Statistical analysis plays a key role in the field of economics, enabling scientists to extract meaningful information from large and complex data sets. It is essential for forming policies, comprehending market movements, and forecasting future economic scenarios. Choosing the right statistical analysis tools is crucial for gaining useful insights from economic data in this era of expanding data availability. Robust statistical analysis methods further increase the credibility and reliability of …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 2, 2023 · pp. 42–48 Read article
-
Computer Data Processing and Empirical Economics
Abstract: This is an article on empirical economics and computer data processing that discusses how computational technology have changed empirical research methods. It analyses how computer systems have changed data management, statistical modelling, and econometric analysis, focussing on large-scale data processing, algorithmic efficiency, and repeatability. Forecasting, policy simulation, and panel data analysis are key uses. The paper also addresses data quality, computational, and ethical issues in economic data use. The paper …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 09–20 Read article
-
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
-
Data-Driven Machine Learning Approach for Vehicle Fuel Economy Prediction and Performance Monitoring Using Real-World OBD Data
Abstract: Modern passenger vehicles generate large volumes of operational data through On-Board Diagnostics (OBD) systems, enabling continuous observation of vehicle performance under real-world driving conditions. However, much of the existing research mainly analyses previously recorded data and does not provide predictive mechanisms for monitoring vehicle performance under dynamically varying operating conditions. This study presents an AI and machine learning–based method for predicting and monitoring real-world vehicle performance and fuel economy using …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 47–66 Read article
-
Smart City Solutions for Waste Management and Pollution Control
Abstract: Recent trends in the role of artificial intelligence, IoT, and other smart technologies have a critical role toward addressing urban environmental challenges related to air quality and waste management in the context of a smart city. This changes the scope of managing air quality as, with the integration of IoT sensors, big data, and AI, they are able to predict pollution levels through real time monitoring and analysis. These technologies …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 11–22 Read article
-
Applications of AI: Does it Impact Emissions of Carbon?
Abstract: Several countries, including India, have vowed to achieve net-zero emissions by the middle of the century, in line with the Paris Agreement's goals. India, as one of the world's largest and fastest-growing economies and the third-largest carbon emitter, has set lofty goals in its climate change plan. By 2030, India intends to attain carbon peaking, which represents the top of its carbon emissions before beginning a slow drop. Furthermore, the …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 27–31 Read article
-
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 · pp. 1–8 Read article
-
OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 41–52 Read article
-
Econometric Modeling for Oil Sectors Stock Prices Time Series Data
Abstract: This study examines the dynamic relationships of stock oil prices of different Indian oil sectors viz., Bharat Petroleum, Hindustan Oil Corporation and Oil and Natural Gas Corporation based on the different econometric models. Empirical result shows that the monthly oil prices are non-stationary and integrated of order one. Johanson procedure to test for the possibility of co-integration relationships result shows that there is no co-integration relationship. Since the variables are …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 2, 2018 · pp. 27–34 Read article
-
The Contribution of Mathematics to Make Developed India
Abstract: This research paper explores the significant contributions of mathematics to the development of India, tracing its influence from ancient innovations to modern applications across diverse sectors. India has a long-standing mathematical tradition, with foundational achievements such as the invention of zero, the decimal system, and advancements in algebra, trigonometry, and geometry, which profoundly shaped global knowledge systems. These early contributions established India as a pioneering hub of mathematical thought and …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 08–15 Read article
-
Factors Affecting Farmers Participation in Soil and Water Conservation Practices at Qenshiben Watershed Central Ethiopia
Abstract: Soil erosion is among the foremost causes of declining soil resources in Ethiopia, which in turn affect agricultural productivity. To limit this problem, for the last two decades’ soil and water conservation measures have been practiced via free labor community mass-mobilization program. Following the launch of the program, farmers massively and voluntarily implemented soil and water conservation measures on the farm lands at different parts of the country. Participation of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 3, 2024 · pp. 10–22 Read article
-
Anthropogenic Land Use Change Detection in a Kashmir Himalayan Watershed – A Remote Sensing and GIS Approach
Abstract: Watersheds are ubiquitous units that can be seen as the physical foundation of the nation. They have long been recognized as desirable units for planning and implementing developmental programs. Human impact on the watersheds is increasing day by day. The alteration of land use pattern in the Himalayan watersheds is increasing the vulnerability of these inherently fragile ecosystems. The present study is conducted in a Himalayan watershed of Lidder catchment …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 1, 2014 · pp. 34–42 Read article
-
Petroleum Legislation and the Economic Impact of the Petroleum Industry Act (PIA) in Nigeria
Abstract: The Petroleum Industry Act (PIA) was enacted in 2021 to reform Nigeria’s petroleum sector by improving regulatory efficiency, investment climate, revenue generation, and host community engagement. This study examines its economic impact using policy analysis, economic data review, and comparative assessment with global best practices. Findings reveal that the PIA has improved governance, with NNPC Limited recording a 28% profit increase in 2024. However, regulatory uncertainty, such as the blocked …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 01–07 Read article
-
Hardware Implementation of IoT-based Health Monitoring of Three-phase Induction Motor
Abstract: In this project, a wireless monitoring system for three-phase induction motor is realized usingIoT (internet of things), where wired communication is either more expensive or impossibledue to physical conditions and human hazards for safe and economic data communication inindustrial fields. The parameters such as phase current, speed, vibrations and temperature aremonitored by Raspberry Pi and then send these values on cloud. The aim of this project is tomonitor and acquire …
Published in Journal of Power Electronics and Power Systems · Vol. 9, Issue 3, 2019 · pp. 43–49 Read article
-
Phase Change Material in the Heat Exchanger for Improved Performance of Latent Refrigeration Storage Systems
Abstract: Using phase change materials (PCMs) in conjunction with a latent cool storage system is an efficient method of storing cool energy. It has the advantage of storage process with isothermal nature and storage of high energy density. Within last few years it has been inspected that in cool storage applications, PCM’s have been widely used. PCM’s are melted and solidified at wide ranges and temperatures and hence are attractive in …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 10, Issue 2, 2023 · pp. 19–29 Read article
-
AI-Based House Price Prediction
Abstract: The housing market is one of the most dynamic and significant sectors of any economy, influencing both individual wealth and broader economic stability. Buyers, sellers, investors, and policymakers all rely on accurate housing price predictions. With the advent of artificial intelligence (AI) technologies, particularly machine learning algorithms, the task of house price prediction has seen remarkable advancements. This study provides a detailed overview of AI-based techniques for house price prediction. …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 1–7 Read article
-
The Tapper Approach: An Integrated Framework for Land Degradation, Restoration, and Climate-Conflict Dynamics
Abstract: Land systems across the globe are increasingly exposed to multiple and interacting pressures, including land degradation, climate change, biodiversity loss, unsustainable land-use practices, rapid population growth, and socio-economic conflicts. These challenges not only reduce ecosystem productivity and resilience but also threaten food security, water availability, rural livelihoods, and long-term environmental sustainability. Despite the growing recognition of these interconnected issues, most existing conceptual and analytical frameworks continue to address them in …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 24–30 Read article
-
Rise of Nationalism in Globalized Society
Abstract: This comprehensive study explores the intricate phenomenon of the resurgence of nationalism on a global scale, examining its multifaceted dimensions, underlying drivers, and potential implications for contemporary societies. In the complex landscape of the 21st century, the resurgence of nationalism has become a prominent and dynamic force, influencing political, social, and economic structures worldwide. The research methodology employed in this study integrates both qualitative and quantitative analyses, drawing on historical …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 1, 2024 · pp. 59–68 Read article
-
Box Plots: An Introduction to the Visual EDA Wonder
Abstract: A box plot, also known as a box-and-whisker plot, is a widely used statistical graphic that provides a concise summary of the distribution of numerical data. By displaying key descriptive measures such as the median, quartiles, interquartile range (IQR), minimum and maximum values, and potential outliers, box plots allow researchers to quickly understand the spread and central tendency of a dataset. They are especially useful when comparing distributions across multiple …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 20–30 Read article
-
Human–Nature Relationships and Sustainable Development: Insights from Environmental Studies
Abstract: The accelerating environmental crisis highlights the need to re-examine the fundamental relationship between humans and nature. Conventional development models often promote a utilitarian view of nature, leading to ecological degradation, biodiversity loss, climate change, and unsustainable resource use. The research problem addressed in this study is the inadequate integration of human–nature relationship perspectives within sustainable development frameworks, despite growing recognition that environmental sustainability depends not only on technological innovations and …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 38–43 Read article