Search
117 articles for “policy decision.”
-
A Sustainable EOQ Model for Declining Products Incorporating Cubic Demand, Variable Deterioration, Partial Backlogging, and Carbon Emission Optimization
Abstract: In this paper proposes a sustainable Economic Order Quantity (EOQ) model for inventory systems involving decaying items under cubic time-dependent demand, variable decaying rates, and partial backlogging while absolutely considering carbon emission costs. The model reflects practical market actions where demand initially increases and afterwards declines over time, and decay depends on the age of the item. To demonstrate the current model's applicability as well as evaluate the trade-off between …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
-
An Evidence Based Analytical Study on Capability of ChatGPT in Advanced AI Based Patient Drug Counseling
Abstract: The application of ChatGPT in providing drug counseling to patients offers the best approach to enhancing policies of healthcare support in decision-making. Aim and Objectives: The present study mainly involves an evaluation of the capability of ChatGPT in the management of drug counseling among patients suffering from various metabolic disorders. Methodology: The present study was a community-based interventional study conducted for a period of 12 months from October 2023 to …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 8–13 Read article
-
Exploring the Influencing Factors of COVID-19 Vaccine Acceptance Among Bangladeshi People
Abstract: This study attempts to identify the factors that led individuals to take the COVID-19 vaccine, as well as their concerns regarding the vaccine and vaccination campaign. Results indicated that respondents had a favorable impression of the government’s initiative. Where the majority of participants were male, 258 people who got at least one dose of either of the authorized COVID-19 vaccines were included in this study. The Cochran formula was used …
Published in Current Trends in Information Technology · Vol. 12, Issue 3, 2022 · pp. 12–17 Read article
-
Struggles Against Displacement: A Case Study of Nilgiri Tribes TODA
Abstract: This research explores the displacement faced by the Nilgiri tribes of southern India, examining both historical and contemporary contexts. Historically, the Nilgiri tribes, including the Todas, Kotas, and Kurumbas, have lived in the Nilgiri Hills for centuries, maintaining distinct cultural practices and agricultural traditions. However, the onset of British colonial rule in the 19th century marked the beginning of their displacement, as the British established tea plantations, appropriating tribal lands. …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 2, 2025 · pp. 39–49 Read article
-
Adaptive Task Scheduling and Resource Optimization Using AI Middleware
Abstract: Modern distributed and heterogeneous computing systems face significant challenges in dealing with dynamically changing workloads, resource fragmentation, and changing latencies; existing traditional, or rule-based, specialized schedulers are no longer useful in achieving the best system performance. Such limitations highlight the importance of the adaptive scheduling paradigms that can learn, forecast, and react to the actual real-world conditions in the system. Artificial intelligence middleware is also an attractive solution to this …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 23–31 Read article
-
A Detailed Survey of Machine Learning Applications, Methods, and Future Prospects in Agriculture
Abstract: Agriculture is undergoing a digital transformation driven by machine learning (ML) and artificial intelligence. The integration of ML techniques with data from sensors, drones, satellites, and IoT devices has enabled precision agriculture, early disease detection, optimized resource use, and improved yield prediction. This paper presents a comprehensive review of machine learning applications in modern agriculture, covering key areas such as crop monitoring, soil analysis, irrigation scheduling, pest, and disease detection, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 39–45 Read article
-
Comprehensive Strategies for Advancing Sustainable Rural Development
Abstract: Sustainable rural development is a comprehensive strategy aimed at enhancing the quality of life and economic prosperity of rural populations while ensuring long-term progress without depleting natural resources. This approach integrates social, economic, and environmental aspects, focusing on community empowerment, cultural heritage preservation, and sustainable resource management. Key elements include economic diversification to broaden income sources through agriculture, small-scale industries, tourism, and other sectors, thereby reducing reliance on a single …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 2, 2024 · pp. 16–21 Read article
-
Urban Transportation Challenges in the Post COVID World
Abstract: Public transportation systems got severely affected due to several lockdowns and continuous travel restrictions during COVID-19. Pandemic created apprehensions and doubts regarding use of public transport and thus reliance on private modes increased exponentially to meet the mobility needs. In the present paper, efforts have been made to understand and assess the urban transportation challenges prevailing in India due to COVID pandemic and if there had been any suitable policy …
Published in Trends in Transport Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 1–10 Read article
-
An Overview of Intelligent Operating Systems (iOS)
Abstract: The rapid convergence of artificial-intelligence techniques with core operating system services is ushering in a new class of platforms—intelligent operating systems (iOS)—that can anticipate, adapt, and optimize on behalf of both applications and users. This paper surveys the architectural shifts required to embed learning, reasoning, and self-healing capabilities into the kernel, scheduler, memory manager, and I/O subsystems. We present a prototype framework, NeuroKernel, that augments traditional OS primitives with three …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 · pp. 21–28 Read article
-
Assessing Air Quality, Climate Change, and Migration Dynamics in Delhi NCR: A System Dynamics Approach
Abstract: As climate change accelerates and environmental degradation worsens, urban centers like Delhi NCR are under increasing pressure from internal migration. Poor air quality—especially in rural and peri-urban regions—emerges both as a driver of out-migration and a deterrent for in-migration to already burdened cities. This study develops a system dynamics (SD) model that integrates climate variables, air pollution metrics, economic indicators, governance quality, and migration behavior to simulate population flows into …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 7–11 Read article
-
Artificial Intelligence based Sustainable Decision Intelligence for Climate Action
Abstract: This paper proposes a Sustainable Decision Intelligence (SDI) framework to address the limitations of traditional climate policy through AI-driven analytics. By reviewing literature from 2020–2026, the study examines the impact of Artificial Intelligence (AI) on climate forecasting, energy optimization, and biodiversity monitoring, categorizing these tools into predictive, optimization, and policy intelligence layers. While acknowledging critical hurdles like data bias and computational energy costs, the research argues that integrating AI into …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
-
Evaluating an ai-supported experiential learning intervention: a quasi-experimental study of the joyful saturday model for student engagement and holistic development
Abstract: Student disengagement, declining academic motivation, and passive classroom participation remain major challenges in modern higher education systems. Traditional lecture-based teaching methods often fail to accommodate diverse learning styles and do not sufficiently promote active participation or collaborative learning. To address these challenges, the present study evaluates the effectiveness of Joyful Saturday, a structured experiential learning initiative designed to improve student engagement, motivation, and holistic development through interactive academic activities supported …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 79–88 Read article
-
Remote Sensing and GIS-Based Approaches for Groundwater Contamination Assessment: A Comprehensive Review of Methods, Sources, and Emerging Trends
Abstract: Groundwater contamination poses a serious threat to sustainable water resources, especially in developing regions with limited monitoring infrastructure. This review provides an in-depth analysis of remote sensing (RS) and geographic information system (GIS) techniques applied to identify, monitor, and assess groundwater contamination. The study categorizes major sources of pollution, including industrial effluents, agricultural runoff, and geogenic inputs and examines how multispectral and hyperspectral satellite data contribute to indirect mapping of …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 39–49 Read article
-
Comparative Study of Reinforcement Learning Algorithms on Traffic Light Control System
Abstract: With the changing times, the need of upgraded and efficient state-of-the-art traffic light control system is truly required. How well do various state-of-the-art algorithms handle complex real-life situations, more technically speaking, how well the reward function operates and minimizes the waiting time, is the prime question of the hour. Here we have successfully employed three reinforcement learning agents-REINFORCE, D3QN and DDPG each of which can independently handle large volumes of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 33–45 Read article
-
Forecasting Maize Price using Exponential Smoothing Method
Abstract: Maize is emerging as third most important crop after rice and wheat in India. A better understanding of maize price situation and future prices will facilitate farmers and end users to make appropriate decisions regarding buying and selling patterns; hence government should make adequate policies. Exponential smoothing method is appropriate tool in time series analysis. Forecast of maize price can be done by using simple exponential smoothing method. The forecasted …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 91s–95s Read article
-
The Relevance of Green University Concept on Students’ Enrollment Decision for Higher Education: The Role of Circular and Green Polymer Science
Abstract: Students today increasingly evaluate the commitment of higher education institutions to sustainability and environmental stewardship when making enrollment decisions. As prospective students research colleges and universities, they meticulously assess each institution's environmental policies, initiatives, and programs. This focus on sustainability reflects a broader trend of rising environmental awareness among young people, who often prioritize their values in their educational choices. The present study uniquely examines how the concept of a …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 47–53 Read article
-
Energy Labels in India: Do we Use it?
Abstract: Energy efficiency and conservation practices intensified with time but also raised the questions about uncertainties about its use on the demand side for ensuring energy security. To cater to climate change and increasing air pollution, the pace for moving towards energy efficiency should increase. Energy efficiency is seen as a “low cost-no regret” and thus can be opted in the Indian household sector. Standard and labeling (S&L) programs provide a …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 13, Issue 2, 2023 · pp. 48–67 Read article
-
Energy Efficiency Opportunities for Future Airports
Abstract: A lot of thoughts and efforts have been put in the past 50 years for not only implementing the technology for clean energy resources but also for looking more such resources. Aviation which not only includes the Airlines and Aircraft but also many other agencies whose product delivery is associated with serious effects on the environment, thereby leading to global warming mainly due to greenhouse gas emissions. The surge in …
Published in Research & Reviews : Journal of Physics · Vol. 8, Issue 2, 2019 · pp. 117–122 Read article
-
Global Supply Chain Agility Through ERP Systems: A Decision Support Model for Emerging Economies
Abstract: In today’s highly dynamic and interconnected global markets, supply chain agility—the capacity to sense environmental changes and respond rapidly and effectively—has emerged as a critical success factor. This is particularly significant for firms operating in emerging economies, where market volatility, infrastructural limitations, policy uncertainties, and resource constraints pose persistent challenges. Enterprise Resource Planning (ERP) systems, with their ability to integrate cross-functional processes, centralize data, and provide real-time decision-making support, offer …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 31–37 Read article
-
Meta-analysis: An Innovative Tool for Estimating Prevalence of Livestock Diseases
Abstract: AbstractLivestock diseases causes economic loss to the dairy farmers and also affects the productivity of dairy animals. There were no data on prevalence of particular diseases of livestock at state or country level. The prevalence of livestock diseases was required for prioritizing the livestock diseases for taking preventive and control measures with available scarce resources. Meta-analysis is a statistical tool used to combine various studies and estimate the prevalence of …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 9, Issue 1, 2020 · pp. 4–7 Read article