Search
862 articles for “Data Monitoring”
-
Leveraging IoT and AI for Real-Time Monitoring and Optimization of Polymer Production Processes
Abstract: Integrating the Internet of Things (IoT) and Artificial Intelligence (AI) technology provides a transformational potential for the polymer manufacturing business, allowing for real-time monitoring and better control of production processes. This paper explores the synergistic application of IoT and AI to achieve greater efficiency, sustainability, and quality control in polymer manufacturing. IoT sensors and devices may capture massive volumes of data from different phases of the manufacturing process, delivering real-time …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–16 Read article
-
Advancing EEG Technology for Affordable and Effective Epilepsy Detection
Abstract: For a proper diagnosis and prompt treatment, epilepsy, a neurological condition marked by recurring seizures, needs to be continuously monitored. Manual interpretation is frequently used in traditional approaches for identifying epileptic seizures from electroencephalogram (EEG) signals, which can be laborious and error-prone. In this research, a novel method for automatically detecting epilepsy from EEG data using deep learning algorithms is presented. According to centers for disease control and prevention (CDC) …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 11–18 Read article
-
An Evidence Based Analytical Study on Capability of ChatGPT in Advanced AI Based Patient Drug Counseling
Abstract: The application of ChatGPT in providing drug counseling to patients offers the best approach to enhancing policies of healthcare support in decision-making. Aim and Objectives: The present study mainly involves an evaluation of the capability of ChatGPT in the management of drug counseling among patients suffering from various metabolic disorders. Methodology: The present study was a community-based interventional study conducted for a period of 12 months from October 2023 to …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 8–13 Read article
-
Leveraging Deep Learning and Cloud Computing for Water Usage Optimization in Agriculture: A Study
Abstract: Water scarcity and inefficient irrigation practices are significant challenges in modern agriculture. This research investigates how deep learning and cloud computing can be combined to enhance water efficiency in agricultural practices. Leveraging advancements in deep learning and cloud computing, researchers have developed innovative solutions for optimizing water usage. This review examines the state-of-the-art methodologies, technologies, and applications in smart irrigation systems. It explores how deep learning models and cloud platforms …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 83–91 Read article
-
Smart Grid: New Era of Electric Energy System
Abstract: AbstractIn this paper, we are presenting the idea of new era of electric energy system with the help of smart grid. It is a network of power generation, transmission lines, substations, consumers and the one important in this is feedback loop. This all together makes an effective smart grid. This paper tells about what steps taken by government to improve our technologies with the help of smart grid. We are …
Published in Recent Trends in Sensor Research & Technology · Vol. 6, Issue 3, 2019 · pp. 28–31 Read article
-
Gaps in Knowledge Related to Equipment use in Pediatric Intensive Care and High Dependency Units
Abstract: Medical equipment has an important role in pediatric critical care. Health care professionalsneed to maintain their competency which is in-turn needed to ensure patient safety andprovide safe care. With increased burden on health care in PICU and HDU and due to lack oftime to upgrade knowledge, nurses may have possible gap in knowledge related to equipmentuse in PICU and HDU. This non-experimental descriptive cross-sectional study has beenconducted to identify gaps …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 3, 2020 · pp. 36–39 Read article
-
Monitoring of Disable Patients with their Medical conditions using K-NN Classifier Algorithm
Abstract: In this paper a general procedure for the infirmity assessment of patients with ineptitudes is presented. It relies upon consistently activity examination using ordinary accelerometer sensors conveyed by the noticed person while at home without clinical staff present. The k-NN classifier is being used to study six different types of activities after preliminary data pre-planning, followed by further decreases in estimation and confirmation time. Promising results are gotten which could …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 1–7 Read article
-
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 Read article
-
Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article
-
An Overview of Smart Attendance System and Communication system
Abstract: Our attendance is made more sophisticated and self-controlled by using "the smart attendance system (SAS)," which is the topic of this paper. It has an innovative QR scanner technology that makes the process accurate and simple. The system operates efficiently, saving us time and requiring less labor to maintain attendance. Previous versions of the monitoring system had problems locating students and required a tedious manual attendance method. Thanks to developments …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 2, 2023 · pp. 12–17 Read article
-
Artificial Intelligence in intra operative and peri operative management of major oral and maxillofacial surgeries
Abstract: Artificial Intelligence and virtual reality are becoming a part of everyday life and are enhancing our quality of life extensively. It is only natural that the same shall be used in surgery also. The existing body of literature on artificial intelligence (AI) and its integration into various surgical specialties has been extensively reviewed and discussed in this article. These insights, though derived from broader surgical domains, can be effectively translated …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 2, 2025 · pp. 1–5 Read article
-
A Study on Recent Trends in Chemical Sensors for Detecting Toxic Materials
Abstract: Poisonous materials, such as mutagenic, carcinogenic, and poisonous compounds, are widely produced as a result of industrial development. Such materials continue to be hazardous to human health despite stringent management and control procedures. As a result, practical chemical sensors—such as optical, electrochemical, nanomaterial-based, and biological system-based sensors—are needed for the monitoring of dangerous chemicals. For the detection of harmful compounds, numerous new and existing chemical sensors are being created, along …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 26–35 Read article
-
Intelligent Aquaculture System for Fish Disease Detection Using Machine Learning
Abstract: Aquaculture is one of the key factors for global food security, but fish diseases bring about heavy economic losses and jeopardize sustainability. One of the most important aspects of global food security is aquaculture, but fish infections endanger sustainability and cause significant financial losses. Early diagnosis is not possible since traditional disease detection techniques are laborious and necessitate expert intervention. To effectively detect fish infections, this study suggests an Intelligent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 30–37 Read article
-
Spatial Crime Pattern using Geographical Information System: A Review
Abstract: The article describes the development of crime pattern analysis using geographic information system (GIS). Criminal activities nowadays continue to be a major concern in contemporary society in many countries around the world. Most nation are faced with unacceptable level of crime such as murder, raped, robbery, and many crime that gives bad effect to the communities in the country. Therefore specific studies need to be conducted to overcome this problem. …
Published in Recent Trends in Civil Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 11–15 Read article
-
CHMOD LEACH: INNOVATIVE TECHNIQUE FOR CLUSTER HEAD SELECTION
Abstract: A wireless sensor network is the network that consists of multiple sensor nodes which helps to monitoring which makes it be used in vast number of areas. Sensor networks are used for large number of time and periodic updating is required. So main problem is to handle the collections and storing of huge amounts of data. The LEACH (Low Energy Adaptive Clustering Hierarchy) protocol provides a solution to this problem …
Published in Journal Of Network security · Vol. 6, Issue 1, 2018 · pp. 20–26 Read article
-
Conductive Polymer Nanocomposites for Wearable Cardiac Monitoring Devices
Abstract: Wearable cardiac monitoring devices are increasingly important tools for non-invasive, continuous assessment of cardiac health. Their growth is driven by increases in the incidence of arrhythmias and by a great demand for remote monitoring. This is changing with the use of conductive polymer nanocomposites (CPNCs). They combine physical properties of mechanical flexibility, high electrical conductivity, and good biocompatibility resulting in high precision, and comfortable sensing. CPNCs combine conductive polymers with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Influence of Supplementary Cementitious Materials on Chemical Shrinkage in Cement
Abstract: Chemical shrinkage is the volume reduction observed in cement during early hydration due to chemical reactions, which critically influences the internal stresses, cracking tendencies, and durability of cementitious system. Present study is focused on effect of supplementary cementitious material (SCM) on chemical shrinkage. Dilatometry method is used to assess the impacts of SCMs on chemical shrinkage, in this this study. The research incorporates experiments with laboratory-synthesized cement and three SCMs—fly …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 98–107 Read article
-
The Digital Frontier: How Computers Are Shaping the Future of Space Exploration
Abstract: The integration of computers and space technology has revolutionized the way we explore and understand space. Advanced computing systems play a pivotal role in space missions, from spacecraft navigation and communication to data processing and analysis. These technologies enable accurate modelling, simulation, and mission planning, allowing scientists and engineers to overcome the challenges of space exploration. Computers have also facilitated innovations such as artificial intelligence in autonomous spacecraft and real-time …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article
-
Low-Grade Heat Recovery: Emerging Materials and Systems for Efficient Utilization
Abstract: Low-grade heat (LGH), generally characterized by temperatures below 200°C, constitutes a significant portion of wasted thermal energy in industrial, commercial, and even residential processes. Despite its vast availability, the efficient recovery and utilization of LGH remains underdeveloped due to its inherently low exergy content and the limitations of traditional heat recovery technologies. The creation of cutting-edge materials and creative system-level approaches for LGH recovery has accelerated significantly as companies continue …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 24–29 Read article
-
Incorporating Industrial Safety Management into Civil Engineering Works for Health and Environment
Abstract: Industrial safety management is an important tool for protecting workers, assets, and environment because it involves risk assessment, hazard control, emergency preparedness and other important practices that can enhance civil engineering construction. Civil engineering projects such as roads, bridges, dams, and water supply systems present complex occupational and environmental risks, from physical accidents on-site to ecological degradation. This paper critically examines the integration of industrial safety and management strategies into …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 25–41 Read article