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206 articles for “decision making”
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Bridging the Urban Divide: A Critical Review of Bottom-Up Communicative Planning Measures in Bangladesh
Abstract: For any development initiative to be met, planning is crucial which involves choice making for societies and individuals to pursue the stated goals. Bangladesh, a rapidly growing country, faces several problems ranging from finding the effective ways of tackling urban poverty to deal with unplanned urbanization. The emergence of a bottom-up participatory approach reflecting the needs and demand of all social strata in the plan-making process is a far cry …
Published in International Journal of Town Planning and Management · Vol. 6, Issue 1, 2020 · pp. 9–18 Read article
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Remote Sensing Technologies for Weather Forecasting: Techniques, Uses, andAssessment
Abstract: Remote sensing has become an important tool for modern weather forecasting since it lets us see the Earth's atmosphere and surface all the time and on a huge scale. Remote sensing uses satellites and sensors to collect data in real time on important weather variables like temperature, humidity, cloud cover, precipitation patterns, and atmospheric motion. These numbers are used in numerical weather prediction models to make forecasts more accurate and …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 25–34 Read article
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Metaverse architects making virtual tourism a reality
Abstract: The metaverse is a digital domain that encompasses artificial intelligence (AI), augmented reality (AR), and virtual reality (VR) with a focus on social inclusion. Online spaces arise as the metaverse expands, thus proposing intricate user designs than current technology allows. Metaverse is a new business platform for digitalizing businesses related to tourism & recreational activities.Inside this virtual space, designers create several interconnected design sections explaining how the primary parts of …
Published in International Journal of Town Planning and Management · Vol. 8, Issue 2, 2022 · pp. 36–43 Read article
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IoT Based Solar Powered System for Smart Field Irrigation with Real Time Surveillance for Smart Agriculture in Bangladesh
Abstract: Agriculture is the essential source of livelihood for people in Bangladesh. It plays major part in economy of the nation. In Bangladesh about 75% of population depends upon agriculture and one third of the country’s income comes from agriculture. Issues concerning agriculture have been continuously ruining the improvement of the nation. But at present due to movement of individuals from countryside to urban there is obstacle in agriculture. On the …
Published in International Journal of Electrical Power System and Technology · Vol. 6, Issue 2, 2020 · pp. 31–37 Read article
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AI-Enabled IV Infusion Monitoring Device for Real-Time Nursing Care Optimization
Abstract: Intravenous (IV) infusion therapy is an essential component of modern healthcare, widely used for administering fluids, medications, and nutrients in clinical settings. However, traditional infusion monitoring methods rely heavily on manual observation by nursing staff, which increases the risk of human error, delayed interventions, and excessive workload. The integration of Artificial Intelligence (AI) into IV infusion systems has introduced a transformative approach to real-time monitoring, predictive analytics, and automated alert …
Published in International Journal of Nursing Critical Care · Vol. 12, Issue 1, 2026 · pp. 10–18 Read article
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A Study of Application of No Regret Learning Algorithm for Development of a Career Counselling Software
Abstract: This paper explores the application of “no regret learning algorithms” in the development of a career counselling software, aimed at providing individuals with personalized and data-driven career guidance. By harnessing the power of machine learning methods, this groundbreaking approach provides a flexible and responsive system designed to aid users in making well-informed choices regarding their career trajectories. The software incorporates user profiling, reward modelling, continuous feedback mechanisms, and ethical considerations …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 37–43 Read article
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A Review on GIS Based Town Planning: Ulwe Region
Abstract: The current study focuses on town planning of Ulwe region which is situated in Navi Mumbai. Ulwe is a prime location with increasing popularity in the recent years and has been a hotspot for investors to make the most out of the ongoing projects and expected rise in property prices. Ulwe region has good characteristics in terms of neighborhood and site resources, so effective planning is required. The region required …
Published in International Journal of Town Planning and Management · Vol. 7, Issue 1, 2021 · pp. 1–6 Read article
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Living Well with Kidney Disease: Nurses Make a Huge Difference
Abstract: Kidney diseases have risen from from the world’s 13th leading causes of death to the 10th and mortality has increased from 8, 13, 000 in 2000 to 1.3 million in 2019. The KKidney diseases disrupt and restrict the activities of daily living and impair the quality of life of patients and their family members. The progression of kidney disease to more severe later stages can be prevented and/or slowed down. …
Published in International Journal of Neurological Nursing · Vol. 7, Issue 2, 2021 · pp. 1–5 Read article
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Sustainability in Precision Agriculture: Pest Management through Advanced Technologies
Abstract: Precision Agriculture (PA) is a cutting-edge field of modern agriculture that uses cutting-edge technologies to transform pest management strategies and promote sustainable agricultural systems. Precision agriculture serves the dual purposes of providing immediate pest control and advancing the larger objectives of resilient and sustainable agricultural systems by utilizing technology, data, and targeted strategies. Precision agriculture has the potential to significantly influence how agriculture develops in the future because of its …
Published in International Journal of Agrochemistry · Vol. 9, Issue 2, 2023 · pp. 01–09 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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On Line Process and Regulator Control (Detailed Version)
Abstract: Modern manufacturing practices and advancement in process control technology are accompanied and faces two problem, namely, (i) to provide quality goods and services and (ii) to contend with limited resources. Statistical modelling methods can provide broad and effective means to address this problem. Process control practitioners, in the Statistical Process Control (SPC) and the Automatic Process Control (APC) areas have endeavoured to integrate SPC and APC for more than half …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 4, Issue 2, 2018 · pp. 37–62 Read article
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Demographic Determinants of Investment Behavior Among Farmers: Evidence from Saurashtra Region
Abstract: Understanding how farmers make investment decisions is particularly important in regions where agriculture serves as the main source of livelihood. In areas, such as the Saurashtra region of Gujarat, farmers often deal with uncertain income due to factors like changing weather conditions, price fluctuations, and rising input costs. In such situations, the way they manage and invest their savings becomes an important part of their financial security. The present study …
Published in International Journal of Housing and Human Settlement Planning · Vol. 12, Issue 1, 2026 · pp. 36–45 Read article
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Nurses’ Autonomy and Its Relation to Their Attitude towards Patient's Rights Advocacy
Abstract: Nursing autonomy has been listed as the most important contributing factor to nurses’ job satisfaction. The more nurses have autonomy in decision-making and nursing practices, the more they have the opportunity to advocate patients against any procedure that harms the nursing process and the patient's treatment plan. Aim of the study is to identify the relationship between nurses' autonomy and advocacy of patients' rights. A descriptive correlation design was utilized …
Published in International journal of Nursing Science Practice and Research · Vol. 8, Issue 2, 2022 · pp. 13–28 Read article
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Smart Risk Management: Power BI in Modern Construction Practices
Abstract: Abstract— In the evolving domain of construction management, data-driven decision-making plays a pivotal role in ensuring successful project execution. This paper presents a comprehensive approach to risk identification, analysis, and mitigation using Microsoft Power BI. By integrating Failure Mode and Effects Analysis (FMEA) and risk data extracted from periodic reports (PPR, DPR, WPR), we demonstrate how Power BI's data visualization capabilities can transform raw datasets into actionable insights. The generated …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 · pp. 45–53 Read article
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Adaptive Production Scheduling in Multi-Machine Manufacturing Environments
Abstract: For manufacturing processes to meet evolving market demands, they must be executed in the most efficient manner while maintaining flexibility against unanticipated disruptions. Often, traditional scheduling methods overlook dynamic variability and real-time interruptions. An inverse scheduling framework for a multi-machine flowshop system is proposed in this research with the primary objective of makespan minimisation. Several issue situations are analysed to validate the algorithmic efficacy, and metaheuristic techniques are used to …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article
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Preservation to Continuity:Reconsidering Heritage Management Paradigms
Abstract: Conventional heritage management frameworks largely treat heritage as a finite collection of monuments and protected sites, prioritizing material conservation over cultural continuity. In rapidly transforming socio-urban contexts, such approaches often fail to address the dynamic relationships between heritage, lived cultural practices, and collective memory. The primary objective of this study is to develop a holistic heritage management framework that integrates tangible and intangible heritage through participatory governance and adaptive policy …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
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Artificial Intelligence in Nursing: Empowering the Workforce of Tomorrow
Abstract: Artificial Intelligence (AI) is transforming modern healthcare, including nursing practice, by enhancing clinical decision-making, improving patient outcomes, and simplifying administrative tasks. The article also explains the benefits of AI in nursing, such as increased diagnostic accuracy, better time management, and easily accessible mental healthcare for nurses. However, there are drawbacks to using AI, including algorithmic bias, data privacy, moral dilemmas, and the possibility of care disassociation, all which are properly …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 1, 2026 · pp. 6–11 Read article
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Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation
Abstract: Environmental monitoring requires intelligent, scalable, and autonomous instrumentation systems capable of continuously sensing, processing, and communicating heterogeneous data under dynamic conditions. This study proposes an Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation, integrating distributed sensor nodes, edge computing, multi-agent collaboration, adaptive data fusion, and intelligent decision-making to achieve reliable real-time monitoring of environmental parameters. Each sensor agent autonomously performs local sensing, anomaly detection, energy-aware communication, and cooperative information exchange …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article