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548 articles for “decision analysis”
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KSK Approach: An AI-Driven IoT Based Decision Making System’s Study
Abstract: Internet of Things (IoT) has promised a world of interrelated devices, generating vast amounts of data. Traditionally, IoT systems trusted on preprogrammed procedures and human intervention to process data and make decisions. This approach often struggled to hold the sheer size and density of IoT data, leading to inefficiencies and missed opportunities. However, the true budding of that data lies not simply in its collection, but in its interpretation and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 14–25 Read article
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Supply Chain Optimization Using Big Data
Abstract: In the references to add productivity and short the appendences, and increase customer value, supply chain optimization is a very crucial part of contemporary business operations. Supply chain management has been transformed by the emergence of big data, which can provide analysis and insight from many different sources of information. This content explores the importance of using big data analytics to improve the delivery process. Thanks to the evolution of …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 19–25 Read article
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Optimization of Process Parameters in EDM
Abstract: Extensive research has been done till date to improve the performance of electrical discharge machining (EDM). In the past few years, the Taguchi method has played an important role in the optimization of process parameters. However, many of the studies have focused on static or single-quality characteristics such as smaller-is-better, larger-is-better, and nominal-is-best. The Taguchi method is best suitable for relative analysis. The prime drawback here to mention is that …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 2, 2021 · pp. 21–28 Read article
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E-learning Education on LIS an Apparatus indicates Knowledge of Information Communication Technology
Abstract: In the spread of e-knowledge, information and communication technologies (ICTs) play a key role. The e-knowledge dissemination and access facilities are essential in Knowledge Resource Centers (KRCs) for conceptual analysis view on e-learning and decision-making policy on LIS education curriculum development. The ICTs serve as a tool for e-learning in the domain of library and information science (LIS) education to prepare curriculum for manpower up-gradation towards socioeconomic development in the …
Published in Current Trends in Information Technology · Vol. 12, Issue 1, 2022 · pp. 15–19 Read article
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Bank Loan Prediction by using Logistic Regression
Abstract: In the modern era of science and technology, the banking sector is also growing very fast and a lot of people are applying for bank loans. But the bank has limited assets and can be granted to limited number of people only, so the bank must ensure that the person whom the loan is granted is eligible enough to pay it back. So, in this study, we will try to …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 2, 2021 · pp. 17–21 Read article
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Technicalities and Tools for Big Data Analysis
Abstract: Before becoming relevant knowledge and information that can assist management in making decisions, data has no purpose. Numerous top-notch big data applications are available to help with this. In this study we discuss about the mostly used open source tools and techniques used for analysing big data. People started to understand how much data users were producing through Facebook, YouTube, and other online services around 2005. Hadoop, an open-source platform …
Published in Current Trends in Information Technology · Vol. 12, Issue 2, 2022 · pp. 12–20 Read article
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Comparative Study of Time Slice Windows Analysis and Impacted As-Planned Analysis for Data Center Construction Projects Using Primavera P6 24.12 Version
Abstract: Data centers are IT infrastructure that needs to be precisely scheduled and coordinated. Significant financial losses and operational failures may result from building delays. Stakeholders can assign blame and comprehend the reasons behind delays with the aid of forensic delay analysis. Because of their unique approaches and legal acceptability, TSWA, and IAPA are commonly used among the many strategies. These methods provide various ways to analyze project schedules and pinpoint …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 33–51 Read article
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Development of Aircraft Safety Program Model to Handle Human Factors Under Emergency Conditions
Abstract: Under emergency conditions, due to lack of situational awareness, a pilot may get trapped or biased during the decision making process. The time constraint during emergency condition demands quick action for the safety of the aircraft, crew and passengers. In the present research, the aircraft is treated as a system and interactions among the components are studied using object-oriented modeling to detect abnormalities. The present aircraft safety program model (ASPM) …
Published in Journal of Aerospace Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 17–25 Read article
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User Review-Driven Recommendation Model for E-Scooter Selection
Abstract: In the era of rising environmental awareness and the growing emphasis on sustainable mobility practices, electric scooters (e-scooters) have gained significant popularity as an efficient and eco-friendly alternative to conventional modes of transport. Their ability to reduce carbon emissions, minimize traffic congestion, and offer cost-effective commuting solutions has made them highly attractive, particularly in urban environments. However, with the rapid expansion of the e-scooter market, consumers are faced with an …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 6–16 Read article
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Impact of Social Media and Online Influencers on Parents’ Pediatric Dental Decisions: A Cross-Sectional Study
Abstract: Background: Social media has become a key source of health information for parents, but its role in shaping pediatric dental treatment decisions is poorly understood. Aim: To evaluate the influence of social media and online influencers on parents’ decisions regarding pediatric dental treatments. Methods: A cross-sectional survey was conducted among 240 parents of children aged 3–14 years in Kanpur, India. A total of 228 complete questionnaires were included for final …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 2, 2026 · pp. 1–6 Read article
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Assessing and Mitigating the Carbon Footprint of Products: A Comprehensive Analysis
Abstract: The environmental impact of human activities, particularly in the production and consumption of goods, has gained significant attention in recent years. The carbon footprint that products have is one important part of this impact. This research paper investigates and analyzes the carbon footprint of products, exploring the methods of assessment, key contributing factors, and potential mitigation strategies. By understanding the carbon footprint of products, consumers, producers, and policymakers can make …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 1, 2024 · pp. 27–37 Read article
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Anomaly Based Intrusion Detection Using Machine Learning Techniques
Abstract: Detection of Cyberattacks/anomalies in a network to build an efficient Intrusion Detection System (IDS) is very important. A system called an intrusion detection system (IDS) monitors network traffic in order to find suspicious activity and sends out signals when it is noticed. Monitoring and data analysis are designed with the objective of finding any network or system intrusions. Machine learning methods can anticipate both known and unidentified attacks. This project …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 1–8 Read article
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Kinematic Relations of Particle Motion using Polar Cylindrical Coordinates System: Applications in Robotics and AI
Abstract: This paper explores the motion of a particle in space using the cylindrical polar coordinate system. It presents the physics of particle motion by defining spatial positions in three-dimensional polar coordinates and examining the particle’s kinematics—namely its position, velocity, and acceleration—in vector form. These quantities are mathematically expressed as functions of time, accounting for the changing coordinates in radial, angular, and vertical directions. This coordinate system proves especially useful for …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 12–16 Read article
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ArcGIS Applications in COVID-19 Spatial Epidemiology: A Comprehensive Systematic Review
Abstract: Addressing complicated community health concerns frequently necessitates the establishment of health practices. Professionals who study community health using information technology require a thorough framework. Health care professionals and authorities have had the ability to comprehend health-related geographical data and make timely judgments in different situations. In the field of epidemic disease prevention, including a viral spread model into a GIS is a popular issue. As a result, a GIS as …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 17–25 Read article
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Relative Efficiency of Manufacturing Companies in India Using Data Envelopment Analysis
Abstract: Manufacturing holds a key position in the Indian economy, accounting for nearly 16 percent of the real GDP in FY 12 and employing about 12 percent of the country’s labour force. Growth in the sector has been strong, outpacing overall GDP growth since the past few years. For example, while real GDP expanded at a CAGR of 8.4 percent over FY 05–12, growth in the manufacturing sector was marginally higher, …
Published in Journal of Industrial Safety Engineering · Vol. 2, Issue 3, 2015 · pp. 27–33 Read article
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Optimizing Heart Disease Prediction: Comparative Analysis of Machine Learning Algorithm for Early Detection
Abstract: The expanding realm of data analysis holds considerable importance in healthcare, particularly in the medical sector where forecasting heart disease is considered a complex endeavor. Early prediction of serious health conditions can be the determining factor between survival and fatality, with heart disease being one such critical health issue. Over the past decade, the main reason for death has been heart disease. Heart disorders come in many different forms, and …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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Smart Attendance Management System: Design and Implementation
Abstract: The Smart Attendance Management System (SAMS) is an all-in-one, role-specific digital platform created to transform how educational institutions manage both attendance and academic content. Designed with modern technological standards, SAMS simplifies and streamlines the tracking of student attendance while also facilitating effective course administration. The system supports a wide range of features such as automatic attendance recording, detailed reports for individual subjects, and consolidated overviews of overall class attendance. In …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 Read article
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Innovative Risk Aperture Manipulation Model for Risk Management in Mega Project Construction
Abstract: The complexities associated with the technical, managerial and financial interventions in mega project implementation accommodates greater risks, encapsulating the complete project period from inception to closure. Consideration of risks in mega project scope is of paramount importance as it delineates either threat or opportunity in the guise of uncertainty at each and every phase of the project. The absence of innovative and rigorous risk management structure imparts a perplexing scenario …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 1, 2015 · pp. 11–24 Read article
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Combining the Classification of Sentiments from Opinions
Abstract: Our day-to-day life has been influenced by varied perceptions of people. Their ideas and opinions have affected our own opinions. People give their own views on the particular product or services according to their usage application. Updating of data is necessary with every passing day which results into difficulty of examining and understanding these large amounts of data. So, it becomes difficult to examine all the varied opinions and come …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 26–29 Read article