Search
40 articles for “Risk Prediction”
-
Unlocking Insights, Optimizing Processes: A Review Of Machine Learning In Action
Abstract: Machine learning (ML) has become a disruptive technology with applications in many different fields and sectors. Machine learning techniques are transforming the way data is examined, patterns are found, and decisions are made in a variety of industries, including healthcare, finance, manufacturing, and transportation. ML is improving drug discovery, treatment strategies, and diagnostics in the healthcare industry. In the financial sector, this means maximizing risk mitigation, credit scoring, and fraud …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 14–22 Read article
-
State Wise Covid-19 Case Forecasting Based on Machine Learning by Using SEIR and Time Series Models
Abstract: Forecasting mechanisms based on machine learning have proved to be significant to anticipate in peri-operative outcomes that improve decision-making in the future. Applications where it is necessary to identify risk factors with a negative impact have used machine learning models. To solve problems with forecasting, many prediction techniques are applied. The COVID-19 virus, which is active and is currently regarded as a serious threat to humanity, is shown in this …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 1, 2023 · pp. 1–9 Read article
-
Predictive Modeling of Dengue Mosquito Populations Using Artificial Neural Networksfor Effective Zapping Solutions
Abstract: The World Mosquito Programme highlights the significant global threat posed by dengue fever, estimating that over half of the world's population is at risk, with approximately 390 million cases reported annually. In 2023, India witnessed a substantial increase in dengue cases, recording over 270,000 cases compared to 74,000 in 2017. Dengue Virus (DENV) transmission occurs through Aedes Aegypti Mosquito bites, and with no specific treatment or vaccine available, effective management …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 1, 2024 · pp. 27–36 Read article
-
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
-
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
-
Modeling Twin-Twin Twin-to-Twin Transfusion SyndromeOutcomes: A Comprehensive Review
Abstract: Twin-to-twin transfusion syndrome (TTTS) is a serious complication of monochorionic twin pregnancies, characterized by unequal blood sharing between twins through placental vascular connections. This condition can lead to significant morbidity and mortality if not identified and managed promptly. This review explores the clinical outcomes associated with TTTS, emphasizing factors that influence prognosis and the effectiveness of current treatment modalities. A comprehensive analysis of recent therapeutic interventions, including fetoscopic laser ablation …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 26–32 Read article
-
Advances in Geotechnical Engineering: Innovative Techniques for Sustainable Ground Improvement and Risk Mitigation
Abstract: AbstractThis paper delves into recent advances in geotechnical engineering, with a primary focus oninnovative techniques for ground improvement, soil stabilization, and risk mitigation, all within thecontext of sustainable infrastructure development. Geotechnical engineering is a key branch of civilengineering that deals with the complexities of soil-structure interactions and the challenges posed bydiverse ground conditions. As the demand for resilient and eco-friendly infrastructure rises,geotechnical engineering is undergoing a significant transformation, spurred by …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 10, Issue 2, 2024 · pp. 10–14 Read article
-
Advanced Geotechnical Analysis of Soil-Structure Interaction in High-Rise Building Foundations
Abstract: AbstractThe stability of high-rise buildings is fundamentally influenced by the interaction between theirfoundations and the underlying soil. This study provides a comprehensive analysis of soil-structureinteraction (SSI) with a particular emphasis on settlement behavior, load distribution, and seismicresilience. By utilizing finite element modeling (FEM) and advanced soil mechanics principles, theresearch evaluates various foundation systems, including deep pile foundations, mat foundations, andhybrid configurations, to determine their effectiveness in diverse geotechnical conditions. The …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 11, Issue 1, 2025 · pp. 49–54 Read article
-
Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
-
Building a Secure IoT Ecosystem with TRNGs and VHDL
Abstract: Internet of Things (IoT), which links billions of devices and produces enormous volumes of data, is growing quickly. Although this interconnection offers previously unheard-of potential, it also poses a serious security risk. Robust cryptographic solutions are necessary to protect sensitive IoT data from malevolent actors, and True Random Number Generator(TRNG) is a dependable source of randomness at the core of these solutions. Despite their efficiency, traditional pseudo- random number generators(PRNGs) …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
-
Impact of Landslides on Water Resource Management: Challenges and Mitigation Strategies
Abstract: Heavy rainfall often causes water to accumulate at the base of mountains, leading to soil saturationand the formation of mud with significantly diminished shear strength. This weakened soil conditioncannot withstand the shear stress imposed by the weight of the mountain, resulting in slope instabilityand subsequent landslides. Such landslides not only pose risks to infrastructure and human safety butalso have substantial effects on water resource management. Landslides disrupt natural water flow,cause …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 1, 2024 · pp. 21–28 Read article
-
Bank Loan Approval Automation
Abstract: Because of the pandemic everyone need loan to grow their business so lot of people apply for the bank loan but bank has its limited assets which it has to grant to limited people only, so finding out the person who return the loan in a given time is a difficult job. So Here our machine learning model come in to picture the main motive of our model is try …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 16–20 Read article
-
Ethical Issues and Implementation Challenges of Artificial Intelligence in ICU Care: A Critical Nursing Perspective
Abstract: Background: The integration of Artificial Intelligence (AI) in Intensive Care Units (ICUs) is rapidly advancing, with AI showing potential to improve patient outcomes by enhancing monitoring, predicting deterioration, and optimizing clinical decision-making. Despite its promise, the implementation of AI in critical care environments raises ethical and practical concerns. This study aims to evaluate the impact of AI on ICU outcomes and explore the associated ethical and implementation challenges. Objective:To assess …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
-
An Introduction of Nanotechnology: Classification, Uses, and Applications of Nanomaterials
Abstract: Nanomaterials (NMs) have acquired noticeable quality in creative advancements due to their tuneable physical, synthetic, and organic qualities with improved performance over their mass counterparts. The order of the NMs is determined by their size, creation, form, and starting. The ability to predict the unique features of NMs increases the value of each order. Because of the increased growth of NM creation and their current uses, difficulties relating to harmfulness …
Published in International Journal of Composite and Constituent Materials · Vol. 7, Issue 2, 2021 · pp. 31–38 Read article
-
General Health Check-up, Health Care Model using CNN and Internet-of-Medical Things
Abstract: Many people may believe that undergoing a comprehensive medical check-up is unnecessary when they feel perfectly healthy. However, this perception is mistaken. Regular health check-ups are essential to maintain overall well-being and to detect potential health issues early, enabling proactive steps to prevent them from worsening. Such check-ups are valuable for both individuals in good health and those with existing medical conditions, as they provide insight into the progress of …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 20–25 Read article
-
Exploring the Intersection: Pain Relief Medication and Antidepressants in Clinical Practice
Abstract: Depression is not exclusive to any age group, social class, or economic level; in high-, low-, and middle-income countries, its prevalence are 5.5%, 5.5%, and 5.9%, respectively. Pain is the most common physical sign of depression, a complex disorder that affects millions of people worldwide. Although conventional antidepressants have been used for a long time to treat pain associated with depression, new research on these drugs has produced encouraging findings. …
Published in International Journal of Analytical and Applied Chemistry · Vol. 10, Issue 1, 2024 · pp. 17–20 Read article
-
An Efficient Machine Learning System forPrediction of Water Quality with Explainable AI
Abstract: Abstract Water availability and quality have been issues globally, especially in developing nations. Unchecked urbanization and industrialization contaminate natural water supplies and aquifers, potentially introducing physical, chemical, and biological contaminants. Over 80% of illnesses are caused by drinking tainted water, according to a WHO assessment. As clean water sources become more at risk, water quality protection has become of human, environmental, and economic importance worldwide. These water sources, crucial for …
Published in International Journal of Water Resources Engineering · Vol. 11, Issue 1, 2025 · pp. 33–42 Read article
-
A Study on Effective Management and Financial Reporting Examines how Artificial Intelligence (AI) Affects Business Subfields
Abstract: This study examines how artificial intelligence (AI) transforms many business domains, including strategy, operations, finance, and marketing, and evaluates how it affects corporate expansion. The main goal is to uncover the mediating functions of excellent financial reporting and effective business management following AI integration. The research highlights artificial intelligence's dominance in commercial decision-making, crediting it to its ability to handle historical data, manage uncertainty, and provide probabilistic forecasts. In particular, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 2, 2023 · pp. 35–33 Read article
-
Health monitoring systems: An overview of E-Healthcare.
Abstract: Healthcare is given extreme importance nowadays by each country especially in post covid times as non-covid patients can’t go for check-ups regularly to hospitals during lockdowns. And also, they have a high risk of getting contacted with the coronavirus. So, in this aspect, an IoT based remote health monitoring system is the best solution for such an epidemic . Hence in this paper, an attempt is made to discuss and …
Published in International Journal of Broadband Cellular Communication · Vol. 7, Issue 2, 2021 · pp. 28–32 Read article
-
In Vitro Evaluation of Bioremediation Capacity of a Commercial Probiotic, Bacillus clausii, for Chromium (VI) and Lead (II) Toxicity
Abstract: Heavy metals cause disastrous effects on any living organisms. Probiotics have the ability to reduce metal toxicity. Commercial probiotics having bioremediation capacity can use these bacteria as an alternative to conventional remediation methods. The bioaccumulation of heavy metals including chromium (VI) (Cr [VI]) and lead (II) (Pb [II]) causes fatal toxicity in humans. Some naturally occurring bacterial species, such as Bacillus and Pseudomonas, contribute their role in bioremediation of these …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 4, Issue 2, 2018 · pp. 1–16 Read article