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352 articles for “log data”
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Design of FPGA Based ALU Using Reversible Logic Gates
Abstract: Reversible or information misfortune less circuits has applications in computerized signal handling, correspondence, PC design and nanotechnology. Reversible technique is utilized to minimize heat that happens in traditional circuits by keeping the loss of data. This paper proposes a reversible configuration of an ALU. This ALU comprises of eight operations, five are of arithmetic category and three are from logical category operations. An arithmetic operations incorporate add, sub, increase by …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 3, 2016 · pp. 15–21 Read article
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Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article
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Identification and Evaluation of Safety Factors in Construction Industry Using Fuzzy Reasoning Technique
Abstract: Modern construction projects, characterized by their complexity and uniqueness, are inherently susceptible to various risks. These risks represent uncertain events that may arise during the project's life cycle, potentially influencing its objectives either positively or negatively. Positive risks are referred to as opportunities, while negative risks are identified as threats. To effectively harness these opportunities and mitigate threats, the implementation of Risk Management is essential. A novel theoretical framework known …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 7–12 Read article
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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IoT-based Smart Transportation System for Passenger Comfort
Abstract: Industry 4.0 now includes a far wider range of topics, including smart transportation management, smart cities, and smart healthcare. It is important to emphasise that among Industry 4.0’s main objectives are innovation, the adoption of new business models, and the development of new revenue sources. Vehicle tracking data is vital in intelligent transportation systems (ITS) for both drivers and passengers who want to understand where they are to cross or …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 2, 2022 · pp. 28–35 Read article
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Effect of Co-empowering Both Mother and Mother-in-Law on the Prenatal, Delivery, Postnatal Knowledge and Practices in the Far West Region of Nepal
Abstract: This study compares prenatal, delivery, and postnatal knowledge and practices of daughter-in-law/mother-in-law (DIL/MIL) pairs who participated in an intervention meeting with those DIL/MIL pairs compared to where only DIL participated in the Female Community Health Volunteer (FCHV) meeting in Kailali district, far-west region of Nepal. The intervention was a 1−2 h meeting before the delivery with the DIL/MIL and the FCHV. The topics covered during the meeting were based on …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 3, Issue 3, 2014 · pp. 1–12 Read article
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Recent Advances in Diabetes Management: A Gendered Approach in North India
Abstract: Background: Diabetes Mellitus remains a major public health issue in India, with disproportionate burdens observed in North India and among women. Objectives: To examine gender and residence-based disparities in glycemic control, medication adherence, and healthcare access among adults with Type 2 Diabetes Mellitus (T2DM) in North India. Page 2 of 7 Methods: A cross-sectional study was conducted among 800 adults with T2DM across five North Indian states. Data on clinical …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 2, 2026 Read article
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Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article
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IoT Integration in Logistics Network System–A Glance
Abstract: Transportation and logistics play a most essential role in operations and supply chain management applications. As a medium, it makes it easier for people, things, and products to move from one place to another. At one stage of the supply chain, from 90% to 95% of produced goods are transported in containers. Additionally, the global consumer class is predicted to grow by 35% to 40% by 2030, increasing the demands …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 1, 2025 · pp. 1–11 Read article
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The Role of Mathematical Reasoning in Legal Analysis: Bridging Two Disciplines
Abstract: This research paper explores the integration of mathematical reasoning into legal analysis, emphasizing the inherent similarities between the two disciplines. Both fields rely on logical structures, such as deductive reasoning, inductive reasoning, and other formal methods of thought. By examining these parallels, the paper reveals the nascent but growing interaction between mathematics and law, uncovering how the organizational schemes that underpin mathematical principles can enhance legal argumentation, decision-making, and analysis. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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Mobile Robotics in Healthcare: Applications of Drones and Autonomous Vehicles for Medical Supply Delivery
Abstract: This paper explores the transformative role of mobile robotics, specifically drones and autonomous vehicles, in enhancing healthcare delivery systems. As the demand for efficient medical supply logistics increases, these technologies present innovative solutions to overcome barriers in remote and underserved areas. We analyze various applications, including emergency medical deliveries, pharmaceutical transportation, and patient monitoring, highlighting the benefits of speed, cost-effectiveness, and reduced human intervention. Through case studies and experimental data, …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 33–45 Read article
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RTL to GDSII Implementation UART using Verilog and Cadence tools
Abstract: The paper outlines a thorough design flow for Universal Asynchronous Receiver and Transmitter (UART) utilizing Register Transfer Level (RTL) to Graphic Data System II (GDS II) Implementation using Verilog and Cadence tools. The process involves RTL design, logic synthesis with Genus and physical design using Innovus, followed by verification steps including formal verification, static timing analysis and power optimization. The results demonstrate an efficient workflow, highlighting the effectiveness of Cadence’s …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 1–7 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Demand for AYUSH Healthcare in India: Multinomial Logit Estimation of the Utilisation of Indian System of Medicine
Abstract: Despite the widespread use of the allopathic system of medicines, the indigenous non-allopathic systems of medicine are widely practiced and used in India. The increasing healthcare costs of the modern corporate type of hospitals and the less expensiveness of local herbal medicines drive the use of Ayurveda, Yoga and Naturopathy, Unani, Siddha and Homeopathy (AYUSH) hospitals for the treatments of chronic diseases, acute illness episodes, maternity health care and catastrophic …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 10, Issue 2, 2021 · pp. 18–26 Read article
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Text to Image Using Machine Learning
Abstract: In the era of digital transformation, our project addresses the convergence of computer vision and natural language processing to enhance user interaction and visual content creation. This project comprises three distinct modules: user authentication and session management, image colorization from grayscale inputs, and text-to-image generation. The login registration module provides secure access to the system, ensuring user privacy and data integrity. Once authenticated, users can utilize advanced computer vision techniques …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 35–41 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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Estimation of Peak Flood Discharge for the Ungauged Catchments in the Tributaries of River Sutlej using Synthetic Unit Hydrograph Approach
Abstract: Estimation of peak flood discharge (PFD) for a given return period is of utmost importance for planning and design of hydraulic structures, river protection works, and development of integrated water resources management projects which can be computed by applying various approaches viz., flood frequency analysis, rational formula, envelope curve and synthetic unit hydrograph (SUH). In this paper, SUH approach is adopted for estimation of PFD for the ungauged catchments viz. …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 1, 2022 · pp. 29–41 Read article
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MODIFIED KEY GENERATION OF BLOWFISH ALGORITHM FOR TEXTUAL AND IMAGE DATA
Abstract: IoT is a word to today’s technical advancement to the digital world. Thus, not only the data which is marked as crucial, but security of this data is equitably important. This paper attempts to introduce one such way of safeguarding the data with encryption algorithm- Blowfish algorithm. The modification is made to the algorithm base lining the original algorithm and then the results are analyzed to validate the enhancement made. …
Published in Journal Of Network security · Vol. 6, Issue 1, 2018 · pp. 27–30 Read article
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Fuzzy Logic Driven Nutrition-based Recommendation System for Gujarati Cardiac Patients: Integrating Cultural Preferences and Patient Feedback
Abstract: This article focuses on developing a comprehensive dataset for accurate dietary recommendations tailored to Gujarati cardiac patients' needs. The dataset comprises nutritional details of over 90 Gujarati food and fruit products, meticulously collected through primary and secondary data collection methods. Each food item's nutritive values, including proteins, carbohydrates, fats, fiber, and calories, are meticulously recorded to facilitate precise dietary recommendations. The dataset integrates cultural preferences and seasonal variations in food …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 59–83 Read article
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Optimization of Supply Chain Management Cost Reduction and Delivery Time Improvement
Abstract: Management of the supply chain is vital for every company's success. Businesses can cut expenses and speed up delivery by effectively regulating the flow of goods and services. In this study, we will explore the various strategies and best practices in supply chain management that can help achieve these objectives. We will delve into the importance of efficient sourcing, inventory management, and logistics to streamline operations and optimize the supply …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 15–21 Read article