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710 articles for “data patterns”
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AI-Powered Solutions for Sustainable Waste Management in Construction Projects
Abstract: The construction industry is a significant contributor to global waste, posing challenges to sustainability and environmental health. This research explores AI-powered solutions for sustainable waste management in construction projects, focusing on optimizing waste reduction, recycling, and resource efficiency. By integrating machine learning algorithms and IoT-enabled sensors, real-time monitoring of waste generation and segregation can be achieved. Predictive analytics and AI-driven decision-making tools are employed to enhance material reuse and minimize …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article
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Assessment of the Efficacy of Demonstration Techniques in Enhancing ASHAs’ Knowledge and Practice of First Aid Management for Dog Bites and Minor Injuries in Rural Bhopal
Abstract: Background: The individuals administering first aid, commonly referred to as first aiders, assume responsibility for the entire situation, including the injured individual and the nature of the injury or illness. They possess the understanding of what actions to avoid, in addition to what actions to take, thus preventing common errors often made by untrained individuals despite good intentions. Furthermore, they recognize that their knowledge and proficiency in first aid can …
Published in International Journal of Community Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 29–46 Read article
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A Vital Role of Big Data in Education System: A Review
Abstract: Big data is used in a variety of fields, and we investigate how big data is used in education. The research literature on big data in education from 2010 to 2020 is reviewed, followed by an analysis of big educational data mining techniques, tools, and applications. Using these applications, this study investigates the idea of improving the educational process. Two methods are used to validate the educational process in order …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 3, 2022 · pp. 13–21 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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Data Mining Made Simple by A priori Algorithm for Market Analysis
Abstract: Data mining and data warehousing are increasingly becoming popular among IT professionals, academics and researchers from different disciplines. Business enterprises, small, medium or large scale, are considering the deployment of a warehouse as a major step and as a matter of pride. Data mining or knowledge discovery in data bases combines the techniques from mathematics, statistics, algorithms and artificial intelligence to extract the knowledge. Data mining is a main phase …
Published in Current Trends in Information Technology · Vol. 3, Issue 3, 2013 · pp. 1–4 Read article
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Survey on Detecting Users Behavior Applying Country- Wise Local Search
Abstract: In this paper we have discussed about the data mining, web mining and the recommendation network. Web mining is explained with the classification of web mining. Recommendater system is explained properly with the explanation of whole procedure of the recommendater system. Various sequential mining pattern algorithms have been explained with various pros and cons. Also, all the work that has been done by them till date is explained fully with …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 3, 2015 · pp. 11–19 Read article
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User App Segmentation for Better Understanding of Reviews and Password Resets Using Regression
Abstract: In today’s digital landscape, understanding users’ needs and behaviors is key to improving app experiences. This paper focuses on how we can better understand user reviews and password resets in mobile apps through a method called user segmentation. By dividing users into groups based on their feedback and password reset patterns, we aim to uncover insights that can enhance app design and security. Using a mix of user reviews and …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 1–9 Read article
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Wireless and Wearable Real-time Health Monitoring Systems: A Review of Recent Developments
Abstract: This paper explores the interdependent relationship between mental and physical health, highlighting the impact of stress and anxiety on the body by introducing an innovative Real- Time Health Monitoring System. This system monitors both mental well-being and physical health using advanced physical health sensors and Facial Emotion Recognition (FER) technology. Leveraging high-precision sensors such as Temperature and pulse oximeters, it continuously monitors vital physiological parameters such as Body Temperature and …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Animal Intrusion Prevent System: Using YoloV8 and Raspberry Pi
Abstract: The Animal Intrusion Prevention System employs advanced YOLOv8 object detection technology to address human-wildlife conflicts, a growing concern due to human encroachment into natural habitats. Featuring a Raspberry Pi mounted on a rotating head for 360-degree surveillance, the system accurately identifies animals such as monkeys, elephants, and wild boars in real time. Upon detection, it activates non-invasive light and sound deterrents to prevent wildlife intrusions, ensuring minimal harm to animals. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 103–112 Read article
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AI-Based Threat Detection in Cloud Platforms
Abstract: This research work delves into the transformative role AI has come to assume for enhanced threat detection in the cloud ecosystem. The conventional security frameworks, which form the basis for many architectures, are several steps behind actualizing the rapidly evolving cyber threat landscape, exposing critical weaknesses in the areas of accuracy, adaptability, and speed of response. Initially, the study sets forth the problems with the old-school approaches to threat detection …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 01–10 Read article
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Impact of Salinity Ingression Prevention Structures (Bandharas) on Different Landuse Categories in Abdasa Taluka of Kachchh Region, Gujarat-India
Abstract: Kachchh has a coastline of 406 km that faces various problems due to the salinity ingression and some developmental initiatives like ports, industries, etc. To check salinity ingression in the adjacent land of coastal areas, Government of Gujarat has taken some corrective measures in which construction of bandharas is one such attempt to prevent ingress of salinity along the coastal belt of Kachchh. For this activity, the government has invested …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 2, 2013 · pp. 49–61 Read article
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Real-Time Driver Drowsiness Detection and Alert Module Using Arduino
Abstract: Driver fatigue is one of the leading reasons behind road accidents because it reduces driver attention, slows reaction time, and affects decision-making ability while driving. To address this issue, a real-time fatigue detection and alert system has been developed using Arduino-based embedded technology. The proposed framework continuously monitors the driver’s eye activity with the help of an infrared eye blink sensor, which detects eyelid movement and eye closure patterns during …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 34–42 Read article
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A Review of Various Deep Learning Models for Classification of BrainTumor
Abstract: Brain Tumor is most challenging and life threading decease now these days. Timely accurately detection of brain tumor is play important role for patient health improvement and it increase life survival rate. Traditional of brain tumor detection relay heavily on manual interpretation of medicalimage, it is very time consuming and chance to human error in detection of brain tumor. Now in recent advancement of Artificial intelligence (AI), Machine learning (ML) …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article
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Fraud Detection in Government Procurement Using Machine Learning
Abstract: Fraud represents a significant challenge in the realm of procurement, with estimates indicating that between 12 and 30% of global procurement budgets are lost to fraudulent activities (OECD, 2023). The pervasive nature of procurement fraud, which may encompass a range of deceptive practices such as bid rigging, invoice fraud, and procurement kickbacks, not only undermines the integrity of financial operations but also results in substantial losses for organizations. These losses …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 19–34 Read article
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Trend Analysis of Long-Term Rainfall Data for Monsoon Season of Kharun Catchment
Abstract: This research paper investigates the trends in monsoon season rainfall over a 31-year period (1990–2021) using the non-parametric Mann–Kendall test. A range of statistical methods were utilized to analyze the rainfall data, providing valuable insights into its temporal patterns and trends. The correlation coefficient, measured by Kendall's Tau, exhibited a minimal positive correlation of 0.004 between years and their corresponding rainfall, quantities. This implies a slight tendency for increased rainfall …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 1, 2025 · pp. 12–17 Read article
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A MERN-Based Crime Management System: Enhancing Crime Reporting and Law Enforcement Collaboration
Abstract: In the modern digital age, efficient crime management is essential for safeguarding the public and upholding law and order. This project introduces the development of a Crime Management System (CMS) built with the MERN stack (MongoDB, Express.js, React, Node.js) to streamline crime reporting, monitoring, and coordination among law enforcement agencies. The CMS is designed to streamline the processes of crime reporting, record management, and data analysis, addressing inefficiencies in traditional …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 40–52 Read article
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Log Identification and Monitoring System Using Generative AI
Abstract: In contemporary software ecosystems, application and infrastructure logs play a vital role in ensuring system reliability, performance optimization, fault diagnosis, and security compliance. As applications become increasingly distributed and cloud native, the volume, velocity, and variety of generated log data have grown dramatically. This rapid expansion makes traditional manual log inspection inefficient, error-prone, and largely impractical. To address these challenges, this paper proposes an artificial intelligence (AI) driven log monitoring …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 08–16 Read article
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Performance Study for Optical Half Subtractor Based on SOA
Abstract: AbstractThis article explores for an optical binary half subtractor design which is based on the semiconductor optical amplifiers nonlinear characteristics. For that, the difference output operation of data’s has been realized in the one branch with semiconductor optical amplifier realizing XOR operation and for borrow operation the AND logic operation of the data B with complaint of data A is realized in the other semiconductor optical amplifier branch. Accordingly the …
Published in Trends in Opto-electro & Optical Communication · Vol. 5, Issue 3, 2015 · pp. 50–57 Read article
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Hadoop Based Cloud Data Security on Cloud Using Encryption Algorithm
Abstract: Cloud-computing is the typical creative pattern of computing technique for people to apply the Information-Technology its related works along with the cheaper capabilities of computing. The services offered on the web are extending from applying the cloud provider’s hardware and software to controlling the security and other issues. Securing the data from the malignant customers, a process of client-authentication have becomes a significant task. Several securities and the privacy problems …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 40–48 Read article