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352 articles for “log data”
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Fuzzy Mathematics in Decision-Making: A Quantitative Perspective
Abstract: Fuzzy mathematics plays an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and highlights other possible alternatives alongside fuzzy methodologies. Fuzzy models offer a versatile and precise approach to assessing complex and uncertain situations using fuzzy sets, membership functions, linguistic variables, and aggregation methods. Through the lenses of time, cost, and quality, the project management case study illustrates how fuzzy logic effectively evaluates …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 6–12 Read article
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Digital Transformation of Urban Infrastructure with the Help of AI Guardians
Abstract: The construction industry continues to face challenges related to quality control, safety protocols, and meeting project deadlines. These issues often result in significant cost overruns and project delays. Traditional inspection and site management approaches rely heavily on manual work and individual judgment. As a result, human errors can easily occur, and these methods provide only limited snapshots of site conditions over time. This paper presents a comprehensive framework that uses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 16–25 Read article
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Concept of AstauAhar Vidhi Visheshayatanani with an Applied Study of Karana (YavaguAhara Kalpana in PratilomaVata)
Abstract: The main aim of Ãyurveda is to accomplish the physical, mental, social and spiritual well being. Ãhãra plays an important role in the preventive aspect as well as in the treatment of illness. It plays an important role in establishing the phenomena of wear and tear, process of growth and repair supply of energy. Wholesome diet is the prime factor for the growth and development of the body; on the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 8, Issue 2, 2019 · pp. 7–12 Read article
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Voluntary Blood Donation, Future Willingness and Associated Factors Among Attendants of Obstetrics and Gynecology Patients in JIMA University Specialized Hospital, Oromia region, Ethiopia, 2015
Abstract: Background: Hemorrhage is the major cause of maternal death worldwide. This problem is more prevalent in developing countries including Ethiopia. Therefore, availability of adequate blood supply and timely transfusion has paramount importance in reducing maternal deaths. In this aspect, assessing practice, future willingness and associated factors towards voluntary blood donation among attendants can contribute in alleviating the scarcity of blood for transfusion.Objective: To assess voluntary blood donation, future willingness and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 6, Issue 3, 2017 · pp. 1–8 Read article
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Community Acceptance towards Male Midwives in Tigray, Northern Ethiopia, 2015/16
Abstract: Cognizant to the higher maternal mortality ratio, limited access of maternal health services and scarcity of trained health professionals in developing countries including Ethiopia, unwilling to use the existing health services considering the sex of the healthcare providers poses additional challenge for maternity care. Though remained uncovered, pregnant women’s acceptance towards male midwife becomes more awful for uptake of the services provided by the health system. Hence, the current study …
Published in Research and Reviews : A Journal of Immunology · Vol. 7, Issue 3, 2017 · pp. 28–44 Read article
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Prevalence and Associated Factors of Attention Deficit Hyperactivity Disorder in School Age Children in Mekelle, Tigray, North Ethiopia, 2017
Abstract: Introduction: Attention-Deficit Hyperactivity Disorder is a neuron developmental disorder. African children are affected with this disorder which rates from 5.4 to 8.7%. This study aimed to assess the prevalence of attention-deficit hyperactivity disorder and its associated factors among school age children at Mekelle city, Tigray, Ethiopia, 2016/17. Method: Cross-sectional survey among 541 children at randomly selected institution was conducted between December 2016 and May 2017. Data were collected using structured …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 2, 2018 · pp. 21–34 Read article
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Level of Adherence to Hypertension Treatment Using Morisky Medication Adherence Scale, Mekelle, Ethiopia
Abstract: Hypertension is defined as a systolic blood pressure greater than 140 mm Hg and a diastolic blood pressure greater than 90 mmHg over a sustained period, based on the average of two or more blood pressure measurements taken in two or more contacts with the health care provider after initial screening. Hypertension treatment is many sided, requiring enduring adherence for anti-hypertension medications and lifestyle instructions as well. Lots of factors …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 6, Issue 2, 2016 · pp. 1–10 Read article
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Data Handling Algorithms for the Healthcare System for the Prediction of Diabetes in Health Data Science (HDS): A Review Report
Abstract: In recent years, diabetes has become the biggest disease in different countries around the world. This disease is caused by adulteration in food ingredients, unhealthy food habits, a lack of physical exercise, and changing the lifestyle every time without a routine chart. The main objective of this review paper is to provide a proper understanding of the machine learning algorithm used in the healthcare system to handle diabetic patients' data. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Evaluation of Machine Learning Classifiers for Sentiment Analysis
Abstract: Sentiment in social media refers to users’ emotions and opinions through their posts and interactions. Sentiment analysis (SA) refers to relating and classifying the sentiments expressed as engagement and interactions between users. When analyzed, tweets frequently produce a large source of clustered data. These data help determine people’s opinions about a variety of motifs. Thus, this study presents an Automated Machine Learning (ML) Sentiment Analysis Model to detect media sentiment. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 141–154 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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Liver Patient Analysis Using Machine Learning
Abstract: Liver, a critical inside organ of the human body whose chief errands are to take out created squander delivered by our life form, digest food, and safeguard nutrients and energy materials. The liver problem can cause different deadly infections, including liver malignant growth. Early conclusion, and treating the patients are necessary to diminish the gamble of those deadly sicknesses. As the finding of liver illness is costly and refined, various …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 29–35 Read article
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Tuberculosis Treatment Outcomes among TB Patients at FenoteSelam District Hospital, West Gojjam Zone, Amhara, Northwest Ethiopia
Abstract: Introduction: Tuberculosis is a major public health problem throughout the world. One third of the world’s population is estimated to be infected with bacilli and hence at risk of developing active disease. It is the second leading cause of death from an infectious disease worldwide after HIV, which caused an estimated 1.8 million deaths. The main reason for this is the high rate of death as an unsuccessful outcome. Incomplete …
Published in Research and Reviews: A Journal of Medicine · Vol. 6, Issue 3, 2016 · pp. 1–8 Read article
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Performance Analysis of Machine Learning Algorithms For Disease Prediction
Abstract: In this 21st century, where Digitization makes humans measure, record, analyze and to manipulate the huge amount of data as per the requirement, prediction of the decease based on Machine Learning models will be representing one of the good applications of the efficient data handling. An Automatic Decease Prediction system based on the symptoms would be the great boon for the medical practitioners. The Supervised Machine Learning models, such as …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 9–18 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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Use of Intelligent Control Systems to Manage Traffic Effectively and Productively
Abstract: Intelligent control system is the advanced technology in which the collected data is provided to A.I. and with the help ofvarious methods like machine learning, neural networks, Bayesian probability, fuzzy logic the solution to a particularproblem is found.In a country’s growth the traffic management plays a great role as the maximum industries depends on the highways orroads and when it is well planned it can reduce the commute time and …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 22–27 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Review on Automatic Irrigation System
Abstract: The Automatic Irrigation System is a contemporary technological innovation aimed at improving water efficiency in farming and landscaping uses. This system guarantees that water reaches plants according to real-time data including soil moisture, weather conditions, and set irrigation schedules by combining sensors, microcontrollers, and automated valves or pumps. The main objective of an automated irrigation system is to increase water efficiency, decrease waste, and boost crop production while limiting human …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 25–30 Read article
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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article
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Mode Choice Analysis: Fundamental and Models
Abstract: AbstractTravel behavior plays an important role in transportation planning. Mode choice has direct impact on the policy making decision. It is behavioral and complex in nature. The objective of this study is to carryout detailed review on various modeling methods of mode choice analysis. The factors that affect the traveler’s mode choice decision have been discussed. The methods of data collection have been briefly discussed. Further the paper highlights on …
Published in Trends in Transport Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 7–13 Read article
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Prevalence and Predictors of Goiter among 6–12 years Old Children in Eastern Tigray Region, Northern Ethiopia: A Community-based Cross-sectional Study
Abstract: Iodine deficiency disorder (IDD) is the collective name of endemic goiter and endemic cretinism. Goiter is the main preventable major public health problem worldwide during pregnancy and childhood in an environment where iodine is deficient. The aim of this study was to assess the prevalence rate and associated factors of goiter among 6–12 years old children in eastern Tigray region, Northern Ethiopia. We used community-based cross-sectional survey. The study population …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 52–60 Read article