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143 articles for “Data Cleaning”
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A Comprehensive Analysis of Classification Methods for Churn Prediction in Financial Services
Abstract: Persistent issues that affect long-term revenue in the banking sector include excessive client attrition. Customary churn models depend on measures related to customer satisfaction, which often result in low predictive accuracy due to their subjective nature. This study proposes an effective early warning model to address customer churn in financial services. Data is preprocessed through cleaning, one-hot encoding, Z-score normalization, and Min-max scaling. To handle class imbalance, the SMOTE algorithm …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 47–61 Read article
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Episiotomy Practice and its Associated Factors among Mothers who Gave Birth Vaginally at Public Health Institutions of Shire Town, Northern Ethiopia
Abstract: Obstetric perineal trauma is assumed to be a serious health problem for women as well as for their child during their childbirth. Episiotomy is the commonest obstetric surgical operation performed to increase the diameter of the vulvas outlet during the late period of the second stage of labor in order to facilitate vaginal delivery. The rate of episiotomy is on the decline in developed countries but still remains high in …
Published in Research and Reviews: A Journal of Health Professions · Vol. 6, Issue 1, 2016 · pp. 15–21 Read article
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Partograph: An Essential Tool for Midwives to Manage Labor at Public Health Institutions in Tigray, Northern Ethiopia
Abstract: A partograph is a graphical presentation of a woman’s progress of labour. Once the woman has true signs of labour and reaches active first stage of labor, the midwife initiates the use of the partograph to record her findings. Prolonged labor; mainly due to cephalopelvic disproportion (CPD), which may result in obstructed labor, maternal dehydration, ruptured uterus, obstetric fistulae, fetal asphyxia, fetal brain damage, infection and death of both mother …
Published in Research and Reviews : A Journal of Immunology · Vol. 5, Issue 3, 2015 · pp. 23–29 Read article
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Risk Factors of Neonatal Deaths Among Asphyxiated Neonates in Ayder Referral Hospital, Mekelle, Ethiopia: A Case Control Study
Abstract: In the globe about 4 million babies die during neonatal period every year and 99% of these deaths occur in low-income and middle-income countries. Out of these, almost one-fourth of them lose their lives due to birth asphyxia. The main objective of this study was to assess risk factors of neonatal death among asphyxiated neonates in Ayder Referral Hospital, Mekelle City. Institution-based unmatched case-control study was conducted from December 1st …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 3, 2015 · pp. 16–26 Read article
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Pregnant Women Basic Components of Focused Antenatal Care and Its Associated Factors in Public Health Institutions, West Shewa, Oromia, Ethiopia
Abstract: Background: Antenatal care is one of the most effective health interventions for preventing complication of pregnancy and childbirth. The components of basic focused antenatal care are assessment of condition of mother and pregnancy, care provision and health promotion. Poor maternal health not only affects women’s survival but has serious public implications for the survival of their children as well. However, there is no enough study that tells whether those pregnant …
Published in Research and Reviews: A Journal of Medicine · Vol. 6, Issue 1, 2016 · pp. 28–37 Read article
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Prevalence of Perceived Stigma and Associated Factors among People with Epilepsy in Mekelle, Tigray, Ethiopia, 2019
Abstract: AbstractBackground: Epilepsy is defined as the most common, chronic, noninfectious neurologic disease that attacks around fifty up to sixty-nine million peoples without any age, sex, religion, ethnicity boundaries. Stigma is typically a practiced or predicted social system, characterized by exclusion or rejection of a person or group. Now a day perceived stigma among people with epilepsy become public health problems in the world. Perceived stigma in epileptic patients affects many …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 2, 2020 · pp. 24–35 Read article
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Analyzing Potential Leads Data to Improve Marketing Strategies
Abstract: To develop a lead scoring model using multiple machine learning models and create a user-friendly web application, the first step is to clearly define the problem and collect relevant data from various sources such as CRM, website, social media, email campaigns, etc. After cleaning and pre-processing the data, identify the essential features that can affect the lead score and split the data into training and testing sets. Next, select a …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 18–25 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 9–22 Read article
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Study Analysis of Geolocational Data with Statistics: A Review
Abstract: The biggest challenge while traveling is looking for a place to stay, and considering doing a complete, thorough analysis of real-world data. The objective of the present study is to refer, clean, fetch, analyze and run K Means clustering on geolocational data to suggest lodgings to the travelers and immigrants of a city; maximizing the likelihood of the distances between the target and the landmarks, given the observed delays, yields …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 3, 2022 · pp. 25–30 Read article
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Degradation in Energy Yield of Solar Photovoltaic Power Plant due to Soiling Effect
Abstract: Renewable energy resources are the future of the world. Solar photovoltaic energy conversion is one such type of clean and sustainable energy resource. Solar photovoltaic power plant’s performance is directly dependent on the sun’s incoming solar radiation availability and its intensity. Solar energy conversion of photovoltaic power plants is limited by local climatic parameters such as temperature, wind, humidity, dust deposition, etc. and geographical factors of latitude, longitude, etc. Accumulation …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 1, 2017 · pp. 6–11 Read article
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A Systematic Review on Uncertain and Probabilistic Databases: Principles, Current trends, Future Directions
Abstract: AbstractMost genuine databases contain information whose accuracy is unverifiable. With the end goal to work with such information, there is a need to evaluate the honesty of the information. This is accomplished by utilizing probabilistic databases. A probabilistic database is a dubious database in which the conceivable universes have related probabilities. Probabilistic database administration frameworks are as of now a functioning zone of research. While there are as of now …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 3, 2018 · pp. 1–7 Read article
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Energy Data Collection in Nigeria: Sources, Resources, Challenges and Recommendations
Abstract: AbstractThe process of having adequate, affordable, accessible and clean energy starts with the conception and design of an energy plan. The implementation of such plan needs reliable and up-to-date data. This paper proved that in Nigeria, collecting energy data had always been a challenging and this could be traceable to such problems as lack of expertise on energy data collection, the absence of legal instruments to aid data collection, the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 3, 2017 · pp. 18–28 Read article
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Assessment of HVAC AHU, Ventilation and Air Conditioning systems using ARAS Method
Abstract: HVAC gadget is largely an assembly of various sorts of equipment hooked up together to provide heating and cooling alongside indoor climate manipulate. The air coping with unit (AHU) is the heart of important air con. HVAC structures encompass mechanical, electric and I & C components to provide consolation to the occupants of a constructing/location or to defend materials, products or objects housed in the location. It collects outside air …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 9, Issue 3, 2022 · pp. 1–8 Read article
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Assessment of Cleaning Methods for Solar PV Modules: A Review of Current Practices
Abstract: This study looks at how well solar panel cleaning technologies work to increase energy output, lower maintenance costs, and lengthen the life of solar panel systems. The necessity for efficient and economical maintenance of solar panels is growing in importance due to the rising demand for solar energy. Systems for cleaning solar panels have become a viable way to address the problem of maintaining clean and efficient solar panels. Our …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 1, Issue 1, 2023 · pp. 23–28 Read article
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Harnessing IoT for Water Quality Surveillance and Management
Abstract: This paper provides an overview of IoT technology's integration in water quality management, focusing on real time monitoring of key parameters like pH, dissolved oxygen, turbidity, and temperature. Since it directly affects people's health and well-being, agriculture's viability, and the preservation of our natural environment, water quality is extremely important. However, as the world's population and industrialization grow, so does the need for water sources, making maintaining their purity extremely …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 3, 2023 · pp. 27–35 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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Predictors of Low Birth Weight in Tigrai Regional State, Northern Ethiopia: Hospital Based Case Control Study
Abstract: Background: Low birth weight is a serious public health crisis to neonatal survival, about 20.6 million such infants born each year and the developing world inhabits 96.5% of them and little is documented about the predictors of low birth weight in Ethiopia. Therefore, this study is intended to identify the determinants of low birth weight in governmental hospitals of Tigrai national state, Ethiopia.Method: A case-control study was carried out at …
Published in Research and Reviews: A Journal of Health Professions · Vol. 7, Issue 1, 2017 · pp. 23–32 Read article
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Design and Analyze of an International Common Grid to Mitigate Energy Crisis of Bangladesh
Abstract: In Bangladesh, the expected electrical power generation has not been increasing as demand for electrical power is growing fast as changing of civilization life. It has been well known that the electrical energy can be extracted more than local demand in China and Bhutan from the renewable energies such as wind energy and hydro power. To fulfil the demand of Bangladesh to lead modern life the electrical energy can be …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 44–57 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Client Satisfaction and its Associated Factors towards Maternal and Child Health Services in Mekelle Health Centers, Ethiopia, 2015
Abstract: The health of the mother and child constitutes one of the most serious health problems affecting the community, particularly in the developing countries. Client satisfaction is fundamental for further improvement of quality of health care delivery system in general and maternal and child health care services in particular. However, studies on the level of client satisfaction with maternal and child health care service are lacking. So, the purpose of this …
Published in Research and Reviews : A Journal of Immunology · Vol. 6, Issue 1, 2016 · pp. 1–5 Read article