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402 articles for “data processing”
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Review of Feature Selection Methods and Semi Supervised Feature Selection Algorithms for Classification
Abstract: Current evolution in technology has resulted in tremendous growth of data with respect to dimensionality and sample size. Knowledge discovery from these high dimensional data are becoming cumbersome. Though powerful machine learning algorithms are prevalent, noisy data, imperfect sensing and collection of data leads to poor and defective knowledge discovery. Noise and redundant features cannot be circumvented due to which data collection process is biased. Dimensionality reduction techniques namely feature …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 39–51 Read article
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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
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Evaluation of the Effectiveness of a Structured Teaching Program on Mothers’ Knowledge Regarding the Prevention of Dengue Fever in Children: A Study in Pediatric Medical Wards at Shridevi Institute of Medical Sciences and Research Hospital
Abstract: Background and objectives: Dengue, commonly referred to as break-bone fever, is a viral infection spread to humans by mosquitoes, especially in tropical and subtropical areas. Although many people infected with dengue may show no symptoms, those who do typically exhibit symptoms such as high fever, headaches, body aches, nausea, and a rash. In most cases, individuals recover within 1–2 weeks. However, severe cases may necessitate hospital care. Home treatment is …
Published in International Journal of Pediatric Nursing · Vol. 10, Issue 1, 2024 · pp. 54–63 Read article
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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
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The Enduring Impact and Future Trajectory of Semiconductor Temperature Sensing: A Study
Abstract: We live in a world obsessed with measurement, and temperature is its most intimate metric. It isthe difference between a thriving processor and a melted core, between a stable chemicalreaction and a catastrophic one, between a comfortable home and an inhospitable one. Fordecades, this measurement was the domain of mercury columns and bimetallic strips—physical,analog, and stubbornly limited. Then came the silent revolution: the semiconductor temperaturesensor. Semiconductor technology has revolutionized the …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 2, 2025 Read article
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SMART SAFETY DRIVER DEVICE
Abstract: Road accidents caused by driver drowsiness, alcohol consumption, and vehicle fire hazards remain a major concern in transportation safety. This paper presents a Smart Safety Driver Device designed to enhance vehicle safety through real-time monitoring and automated alert mechanisms. The system integrates an eye blink sensor to detect driver fatigue, an alcohol sensor to identify alcohol presence, and a flame sensor for early fire detection. An Arduino- based controller continuously …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 45–53 Read article
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SMART SAFETY DRIVER DEVICE
Abstract: Road accidents caused by driver drowsiness, alcohol consumption, and vehicle fire hazardsremain a major concern in transportation safety. This paper presents a Smart Safety DriverDevice designed to enhance vehicle safety through real-time monitoring and automated alertmechanisms. The system integrates an eye blink sensor to detect driver fatigue, an alcoholsensor to identify alcohol presence, and a flame sensor for early fire detection. An Arduino-based controller continuously processes sensor data and activates …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 Read article
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Advanced Battery Management System Techniques in Electric Vehicle: A Review
Abstract: Since they are efficient and emit no emissions when in use, electric vehicles are a key component of sustainable transportation in the modern world. The battery’s performance has a big impact on the electric vehicle’s driving range. The selection of the battery, its technology, and its effective use are crucial for it. As far as battery technology is concerned, lithium-ion batteries are the preferred option for power storage systems due …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 2, 2024 · pp. 6–15 Read article
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Analysis of Spatial and Socio-Ecological Transformations around Chuka University Environs Using Remote Sensing and GIS
Abstract: Universities typify pockets of complex man-land interaction especially in developing countries where these results to localised population growths, urbanisation and economic development. Establishment of university colleges in towns and peri-urban areas across Kenya is driving spatial, social and ecological transformations. The objective of this study was to analyse implications of Land Use and Land Cover (LULC) changes on built and non-built environment around Chuka University’s Main campus located at Ndagani …
Published in International Journal of Town Planning and Management · Vol. 4, Issue 1, 2018 · pp. 18–29 Read article
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Predicting the Team Based on Player Performance and Formation in Sports Match by Machine Learning Approach
Abstract: In the field of sports evaluation of player performance and predicting the weight of the player for the formation of a well efficient team is very important. The main aim is to pick the best squad from all the available players. This will help to decide which team of players is the best to play against a particular opponent, perform prediction of the performance of the players in future matches …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 1–5 Read article
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IrrigaNet: Bridging IoT and Farming for Realtime Smart Irrigation Control
Abstract: In recent times, IoT has emerged as a crucial technology in the 21st century, seamlessly integrating into various facets of our daily lives. Its rapid expansion is evident across sectors such as healthcare, finance, and agriculture, permeating every aspect of our reality. Green IoT is a very hot topic in the present scenario. In our research paper we are using IoT to implement a smart irrigation system. The dam is …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 9, Issue 1, 2023 · pp. 8–12 Read article
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Detection of Road Objects and Road Signs from 3D Mobile Mapping System
Abstract: As the number of practical applications of point clouds from a mobile mapping system (MMS) increases, the use of modeled data from MMS has also increased in many fields. However, the data-modeling process is costly. Therefore, in order to make the modeling process efficient, a method of recognizing road objects is needed. Conventional methods cannot recognize objects that include various shapes such as walls and guardrails, or objects that are …
Published in International Journal of Computer Aided Manufacturing · Vol. 3, Issue 1, 2017 · pp. 26–30 Read article
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CFD Analysis and Prediction of Shockwave/Boundary-Layer Interaction at Hypersonic Flows Using RANS Models
Abstract: Interaction of shockwaves with turbulent boundary layer plays an important role in the design and operability of high-speed aerospace vehicles and air-breathing engines. The adverse pressure gradient of the shock is often strong enough to separate the boundary layer. The objective of the present research paper deals with the analysis of hypersonic viscous flows dominated by strong shockwave/boundary-layer interactions (SWBLI) over wing-flap and wing-fuselage junction configurations. The effects of the …
Published in International Journal of Computer Aided Manufacturing · Vol. 5, Issue 2, 2019 · pp. 33–50 Read article
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A Study to Assess the Knowledge of Nursing Staff Regarding Needle Stick Injury in Selected Hospital, Mysore
Abstract: Needle stick injuries (NSIs) are most common accidents reported by healthcare workers, inclusive of doctors, nurses and non-clinical staff. Objectives: 1) To assess the level of knowledge of nursing staff regarding needle stick injury. 2) To find the association between knowledge scores of nursing staff regarding needle stick injury with their selected personal variables. Methodology: Formal administrative permission was obtained from Institution prior to data collection. Informed consent was obtained …
Published in International Journal of Nursing Critical Care · Vol. 4, Issue 2, 2018 · pp. 20–22 Read article
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Assess the concerns of pregnant mothers during Covid 19 pandemic in Kerala
Abstract: The present study was conducted to assess the concerns of pregnant mothers during Covid 19 pandemic in Kerala. The objectives were assessing the concern of the mothers during Covid pandemic and to find out the association between concerns of the mothers during Covid pandemic and selected socio personal variables. Methods: The study was conducted among 33 pregnant mothers using questionnaire and check list to assess the concerns of the mothers. …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 7, Issue 2, 2021 · pp. 7–11 Read article
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Effect of Structured Teaching Programme on Knowledge and Attitude Regarding Perinatal Bereavement Care Among Staff Nurses in Neonatal Units of Hospitals
Abstract: Introduction: A multifaceted phenomenon that is of concern to nurses and researchers is called perinatal bereavement which follows perinatal loss. Perinatal loss is defined as loss of an infant through death via unintended or involuntary loss of pregnancy by miscarriage, early loss (less than 20 weeks), stillbirth (>20 weeks gestation), or neonatal loss (newborn through 28 days of life). Communication skill is crucial for the neonatal nurses if parents need …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 8, Issue 2, 2022 · pp. 17–23 Read article
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Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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Development of Empirical Relationships Between Input and Output Parameters of Sponge Iron Process Using Neural Network
Abstract: In the present study, estimation of optimum input parameters corresponding to desired output parameters is carried out for a typical sponge iron process. For this purpose data of rotary kiln of the process are collected. It includes temperatures profiles inside the rotary kiln and flow rates of air, iron ore, feed coal, slinger coal and sponge iron. These data are analysed using ANN and group method of data handling (GMDH) …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 1, Issue 2, 2015 · pp. 6–19 Read article
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A Customized Wireless Supervisory Infrastructure for Integration and Explicit Multiparametric MPC-Based Control of Laboratory Processes
Abstract: In this study, a custom, embedded wireless (Zigbee) supervisory infrastructure aimed at integration of laboratory processes is reported. A microcontroller based field control unit (FCU) implements closed loop control on experiments via ADAM 5000/485 data acquisition module. Data from the process (sensor/manipulation) are broadcasted from FCU using a wireless access point (WAP). A MATLAB graphic user interface (GUI) updates the data (obtained using a remote monitoring unit (RMU)) graphically. Multiparametric …
Published in International Journal of Chemical Engineering and Processing · Vol. 2, Issue 2, 2016 · pp. 10–18 Read article
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Blood Cell Subtype Classification Using Deep Learning
Abstract: A vital component of human bodies is blood. Despite making up only 1% of the human body, blood cells have a greater impact on disease and infection detection. These blood cell subtype classifications also aid in ensuring that patients receive the quickest-acting medical treatment and recover swiftly. To get the findings, many machine learning techniques are used, including the Feature Extraction methods (K* classifier and Decision table) and the Image …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 37–45 Read article