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127 articles for “event detection”
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Event Detection and Analysis of Online Social Image Measurement by Using SNMF
Abstract: Conventional sites were driven by human-altered occasions which lead to immense web search traffic. This paper is an overview led for distinguishing the different occasion recognition strategies which are helpful for occasion mining. We picked picture examine log as the advantage for event mining, as chase logs can genuinely reflect person's inclinations. Late investigations have demonstrated that an observable level of web search traffic is about get-togethers. We picked picture …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 1, 2020 · pp. 19–24 Read article
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Assessment of Voltage Stability and Event Detection in Distribution Grid with Penetration of Renewable Energy Sources
Abstract: AbstractIn this paper we proposed a method which is based on FFT (Fast Fourier Transform) analysis for the assessment and detection of outage of renewable energy, islanding event and grid synchronization of renewable energy. The Voltage signals should be measured, and features extracted are realized to assess the power quality disturbance associated with various events. Operational events are detected with the help of features extracted from the FFT analysis of …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 3, 2020 · pp. 9–18 Read article
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Overview of Various Dynamic Community Evolution Detection Approaches
Abstract: Social network in a simplest form is a social structure consisting of units that are connected by various kinds of relations like friendship, common interest, financial exchange, dislike, knowledge or prestige. This can be represented by a combination of graph theory and data mining concepts. The easiest way to present social network in a mathematical way is graph representation where members are nodes of the graph and relations are edges …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 1, 2015 · pp. 28–32 Read article
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Semi-quantitative Event Specific Detection of Bt Maize (Event MON 810) using Real-Time PCR with SYBR Green Ι Chemistry
Abstract: The objective is this work is to do semi-quantitative analysis for Bt maize (event MON 810) using conventional Polymerase Chain Reaction (PCR) and Real Time PCR (SYBR green chemistry) from the fresh maize samples chosen arbitrarily from various locations. The protocol for extraction of good quality genomic Deoxyribonucleic acid (DNA) was standardized without the use of Liquid nitrogen. The DNA used for further studies were obtained by using standardized protocol. …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 2, Issue 3, 2012 · pp. 25–34 Read article
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Pharmacovigilance: Enhancing Drug Safety Through Technology
Abstract: The research and practices surrounding the identification, evaluation, and avoidance of hazardous medication responses in people are known as pharmacovigilance. Pharmacovigilance has been defined as a kind of ongoing observation of side effects and other safety-related features of medications that have previously been introduced to the market. Pharmacovigilance has been shown to be crucial in promoting the sensible use of medications by disseminating knowledge about the negative effects that pharmaceuticals …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 38–44 Read article
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Artificial Intelligence in Pharmacovigilance: Improving Drug Safety
Abstract: Artificial intelligence (AI) is revolutionizing pharmacovigilance (PV) by enhancing the detection, assessment, and prevention of adverse drug reactions (ADRs). This review examines how AI technologies – such as machine learning (ML), natural language processing (NLP), and big data analytics – tackle existing challenges in pharmacovigilance (PV), including issues like underreporting, large data volumes, and inefficiencies in data processing. AI improves drug safety by automating data collection, enabling real-time adverse event …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 1–16 Read article
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Advance Surveillance System Integrated with Weapon Detection and Accident Detection
Abstract: Security concerns have become paramount as there is rise in crime rates in crowded events and isolated areas. Abnormal event detection and monitoring system, utilizing computer vision, are crucial for tackling these challenges. In parallel, reducing mortality rates from accidents by ensuring timely emergency response in essential. This study presents the implementation of automatic weapon detection and accident detection. In weapon detection, YOLO v4, Convolutional Neural Networks (CNN), and Faster …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 1, 2025 · pp. 47–54 Read article
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Advanced AI based Energy Monitoring and Demand Prediction with Theft Detection
Abstract: This paper presents a study on an AI-based energy management system, which is designed for real-time monitoring of energy consumption for theft detection and energy demand prediction. Our energy management system has voltage and current sensors for energy consumption measurement and provides real- time data on voltage (V), current (mA), and energy units. We have implemented Machine Learning algorithm SVM to improve the process of theft detection by identifying anomalies …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 1–8 Read article
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Integrating Sensor Technologies for Modern Soldier Sentinel Systems
Abstract: The Soldier Sentinel Sensor System (S4) is a cutting-edge technology developed for enhancing situational awareness and safety for military personnel in operational environments. This abstract provides an overview of the key features and benefits of the S4 system. S4 integrates advanced sensor technologies, including biometric sensors, environmental sensors, and location tracking modules, into a wearable and robust platform. The system continuously monitors vital signs, such as heart rate, body temperature, …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 6–11 Read article
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IoT-based Patient Fall Detection and Alerting System for Patient Safety
Abstract: This paper presents an Internet of Things (IoT) based patient fall detection and alerting system designed to enhance patient safety in healthcare settings. Falls among patients, especially in hospitals or care facilities, can lead to severe injuries and complications. The proposed system utilizes wearable sensors integrated with IoT technology to continuously monitor the movements and activities of patients. Machine learning algorithms are employed to analyze sensor data in real time, …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 9–14 Read article
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Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
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A Review on Wireless Sensor Network and LEACH Protocol
Abstract: This paper looks at the fundamentals of wireless sensor networks and clusters. Wireless Sensor Networks have recently risen to the top of the research agenda. Wireless Sensor Networks (WSN) are a hot topic in computer science and telecommunications nowadays. Data aggregation is carried out in WSN. Sensor nodes are used to identify data, information, and targets, as well as to continuously monitor data. Wireless Sensor Networks (WSNs) are networks of …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 2, 2022 · pp. 12–17 Read article
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Threat Detection on Linux Systems Using OSquery
Abstract: We have made an EDR tool for Linux Systems using Facebook open-source project OSquery. Making our own EDR tool rather than using a commercial EDR tool helps us gain knowledge about the platform and the security aspect of the platform and gives us the capabilities to detect and investigate security events. In our method, we are collecting the logs on the central server and then we are using these logs …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 4, 2023 · pp. 1–5 Read article
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Threat Detection on Linux Systems Using OSquery
Abstract: We have made an EDR tool for Linux Systems using Facebook open-source project OSquery. Making our own EDR tool rather than using a commercial EDR tool helps us gain knowledge about the platform and the security aspect of the platform and gives us the capabilities to detect and investigate security events. In our method, we are collecting the logs on the central server and then we are using these logs …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 1, 2022 · pp. 1–5 Read article
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Smart Patient Monitoring and Motion Tracking System
Abstract: The integration of smart technologies in healthcare has revolutionized patient monitoring and diagnostics. This paper presents a Smart Patient Monitoring and Motion Tracking System designed for hospitals, leveraging EEG (Electroencephalogram) signals to track patient movements and monitor neurological health. The proposed system combines motion tracking with real time EEG signal analysis to enhance patient safety, especially for individuals prone to seizures, neurological disorders, or other mobility-related risks. The system employs …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 9–23 Read article
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Defining Regression Polynomials with Process Similarity Criteria
Abstract: Highly accurate monitoring and prediction is essential in detecting abnormality events and forecasting demands in supply chains. This investigation provides a computational procedure for defining polynomials that satisfy similarity criteria in the monitoring process for a polynomial of any degree. It provides an example of using algorithms to predict transient thermal processes in electronic devices. The second-degree polynomial defined with this algorithm is compared with a polynomial defined using a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 2, 2023 · pp. 13–20 Read article
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Use of Artificial Intelligence to Access and Ensure Safe Drinking Water Supply: A Review
Abstract: Ensuring access to safe drinking water is a critical public health challenge. Traditional water quality assessment methods are often labor-intensive and time-consuming. Artificial intelligence offers a promising alternative, providing rapid, accurate, and scalable solutions for monitoring and predicting water quality. This systematic review examines the application of AI. The review highlights various AI models, including artificial neural networks, support vector machines, decision trees, and ensemble methods, in predicting water quality …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 21–28 Read article
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Various Routing Algorithms in Wireless Sensor Networks for Energy Minimization
Abstract: The past few years have witnessed increased interest in the potential use of wireless sensornetworks (WSNs) in a wide range of applications and it has become a hot research area. Lot ofresearchers are showing interest in WSN for disaster management where prediction ofupcoming disaster is required well in advance before it happens and in critical areas wherehuman presence is not possible directly; wired communication dose not suit well for suchapplications. …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 3, 2020 · pp. 26–37 Read article
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To Study the VLF Signal for SeismoElectromagnetic Phenomena by Using Wavelet Analysis
Abstract: The research focuses on exploring the potential of Very Low Frequency (VLF) signals as indicators of seismic and geomagnetic activities, particularly in the context of earthquake prediction. It delves into the analysis of VLF data using wavelet-based methodologies and neural networks to detect anomalies preceding seismic events.Observations and analysis of VLF data revealed fluctuations and discrepancies, notably "silent days," occurring several days before seismic events. These irregularities studied through wavelet …
Published in Research & Reviews : Journal of Physics · Vol. 12, Issue 2, 2023 Read article
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Drone-based Fire Detection and Crowd Management System using Image Processing
Abstract: AbstractNowadays, fire outbreaks are common issues which cause severe damage towards nature and human properties hence fire detection system are designed to discover fires early in their development when the time will still be available for the safe evacuation of occupants. Early fire detection in the event of an outbreak is pivotal to prevent loss of life and properties. Fire is necessary and profitable to humankind life, but it also …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 2, 2019 · pp. 30–34 Read article