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710 articles for “data patterns”
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Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article
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IoT Based Weather Monitoring System
Abstract: The Internet of Things (IoT)-Based Weather Monitoring System is developed to provide accurate, real- time monitoring of essential environmental parameters, including temperature, humidity, and atmospheric pressure. The system integrates high-precision sensors with a microcontroller, enabling continuous data acquisition from the surrounding environment. Collected data is transmitted wirelessly to a dedicated IoT platform via an internet connection, allowing remote users to access and visualize the information through web or mobile interfaces. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 26–34 Read article
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Design and Implementation of an IoT-based Traffic and Parking Management System Integrated with GIS for Urban Environments
Abstract: As urbanization accelerates, managing traffic flow and parking availability has become increasingly challenging. This article presents the design and implementation of an internet of things (IoT)-based traffic and parking management system integrated with geographic information systems (GIS) to address these challenges in urban environments. The proposed system utilizes a network of IoT sensors to monitor traffic flow, congestion levels, and parking space availability in real time. The data collected by …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 23–32 Read article
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Traffic Management System using Divider Shifting Mechanism
Abstract: This paper addresses traffic congestion through innovative solutions, including movable dividers that adjust road configurations and lanes dynamically. Real-time monitoring, using sensors and cameras, coupled with advanced algorithms, optimizes traffic flow by reallocating lanes according to changing conditions such as rush-hour congestion or accidents. Additionally, the system integrates variable speed limits and dedicated lanes for pedestrians and cyclists to enhance safety and accommodate diverse transportation modes. Centralized integration with a …
Published in Journal of Production Research & Management · Vol. 14, Issue 1, 2024 · pp. 21–28 Read article
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Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
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Awareness and Utilization of Open Educational Resources Among P.G. Students of Science and Social Science at Aligarh Muslim University: A Comparative Study
Abstract: Open Educational Resources (OER) have become an important component of higher education by providing free and openly licensed learning materials that support teaching, learning, and research. OERs help reduce the financial burden on students, promote equitable access to knowledge, and encourage lifelong learning. Despite the availability of numerous OER platforms, their effective use largely depends on students’ awareness, accessibility, and institutional support. The present study examines the awareness and utilization …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 61–75 Read article
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Catchment Pollution Potential and Pattern of Groundwater Quality
Abstract: Pollutants in groundwater can occur naturally or they can be introduced by various anthropogenic sources of pollution. Both point and non-point sources of pollution affect the quality of surface as well as ground water. As water infiltrates, solute concentrations are typically low. But after penetration their spatial extent follows a regional pattern that needs to be examined in detail. Hence, spatial pattern of important parameters of ground water quality obtained …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 2, 2014 · pp. 19–28 Read article
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A Correlation of Genetic and Clinical Perspective of Becker’s Muscular Dystrophy
Abstract: Patients from neurogenetic clinic on the basis of clinical features, elevated serum CPK level and electromyographic features were recruited for the study. Molecular genetic testing was performed by Multiplex Polymerase Chain Reaction (PCR) technique. A total of 60 patients were recruited in this study out of which 36 patients had deletion and 24 patients had no deletion. Our data showed that there is no correlation between clinical severity/laboratory findings and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 1, 2019 · pp. 33–37 Read article
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Iris Recognition System Using Principal Component Analysis based Back-Propagation Learning Neural Networks
Abstract: This paper deals with the iris recognition system using Back-Propagation learning neural network algorithm where Principal Component Analysis technique has been used to reduce the dimension of the iris feature vector. Automated iris localization and segmentation methods have applied to effectively isolate the iris region from pupil and sclera. Circular Hogue transform has used to detect the iris/sclera boundary and pupil/iris boundary. To remove the upper and lower eyelids effects …
Published in Current Trends in Information Technology · Vol. 3, Issue 3, 2013 · pp. 5–11 Read article
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Research Productivity of Faculty Members of M B Patel Arts & Commerce College, Salekasa: An Analytical Study
Abstract: The research paper intends to deeply study and critically analyses the research quotient of the faculty member of the M B Patel Arts & Commerce College, Salekasa. For this purpose the calculation of degree of collaboration & collaboration index of research of 11 faculty members contributing 134 articles was done between the periods of 2010 to 2023.Thus the researcher has taken sincere efforts to explain research productivity of faculty members …
Published in Journal of Advancements in Library Sciences · Vol. 10, Issue 2, 2023 · pp. 1–8 Read article
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Harnessing the Power of Big Data for Personalized Marketing
Abstract: In today’s digital age, big data has revolutionized the way businesses engage with customers, driving a shift from traditional blanket marketing strategies to highly personalized campaigns. By examining large volumes of data gathered from various sources like social media, websites, and transaction records, companies can gain valuable insights into consumer behavior, preferences, and buying patterns. Personalized marketing leverages these insights into craft-tailored experiences that resonate with individual customers. For instance, …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 19–22 Read article
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Using AIML to Enhance Demand Forecasting in Business
Abstract: Artificial intelligence machine learning (AIML) can play a significant role in enhancing demand forecasting in business. AIML is a programming language designed for creating chatbots and conversational agents, but its application extends beyond simple interactions. In the context of demand forecasting, AIML can be utilized to analyze historical data, customer interactions, and market trends. By implementing AIML algorithms, businesses can create intelligent models that learn from past demand patterns, customer …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 35–40 Read article
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Epilert: Epilepsy Tracker and Detector
Abstract: Epilepsy, affecting over 50 million individuals worldwide, necessitates innovative solutions for effective monitoring and intervention. Current systems face challenges such as inaccuracy, limited accessibility, and discomfort, leaving patients and caregivers vulnerable. Epilert, a wearable device, addresses these gaps by employing advanced sensors and machine-learning algorithms for real-time epilepsy detection and monitoring. The device integrates electromyography (EMG) and motion sensors to capture and analyze physiological and movement data. Preprocessing techniques ensure …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 1–8 Read article
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Elderly Healthcare Using Federated Learning Approach
Abstract: The healthcare system for elderly people faces several challenges, which can be addressed using advanced machine learning models. These models can help monitor chronic diseases, detect falls, and provide personalized health recommendations. The study uses comprehensive datasets like MIMIC-III/IV, WESAD, and UCIHAR to explore human movements, device limitations, and the differences in fall occurrences. A detailed review of existing literature discusses current technologies for activity monitoring and fall detection, focusing …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 13–23 Read article
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Extant Roofing Pattern and Early Decay of Residential Buildings in Port Harcourt Municipality, Rivers State
Abstract: The design and construction pattern of roofs in the tropical environment like Port Harcourt Municipality, Rivers State is a major factor that determined how functional and the life span of building components and materials. In recent time residential building components and materials had been observed to decay earlier than expected due the existing roofing pattern. This study is aimed at assessing the extant roofing pattern and identified factors responsible for …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 3, Issue 2, 2025 · pp. 16–24 Read article
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Artificial Intelligence in Education: Enhancing Usability and Adoption Among Educators in Digital Classrooms
Abstract: The use of Artificial Intelligence (AI) in education has changed digital learning environments. It provides new tools to improve teaching and boost student engagement. However, even with more AI-enabled technologies available, not all educators are using them equally. This uneven adoption is mainly due to problems with usability, accessibility, and digital readiness. This study addresses the critical gap between the potential of AI in education and its practical utilization by …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 Read article
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Dynamics of Land Use/Land Cover Changes in Ballia District, Using Landsat TM Data
Abstract: Normal 0 false false false MicrosoftInternetExplorer4 The land use/land cover is an important component to understand the human intervention with the environment. The land use/land cover pattern is an outcome of natural and socio-economic factors and their utilization by man in time and space. Land is becoming a scarce resource due to immense agricultural and demographic pressure. Hence, information on land use/land cover (LU/LC) and possibilities for their optimal use …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 1, 2013 · pp. 29–35 Read article
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Impact of Big Data Analytics for Efficient Consumer Behavior Prediction
Abstract: Big data analytics plays a critical role in predicting customer behavior by analyzing large and complex data sets from various sources. By applications of predictive modelling principles, it will be acting as a weapon for uncovering patterns and insightful for leveraging from the consumer’s point of view. In our study, we incur sincere efforts to discuss the current trends in the domain of prediction methods involved in consumer behavior. Personalization …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 1, 2023 · pp. 15–22 Read article
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Testability Techniques Used in Different Design Environment for Improving Fault Efficiency
Abstract: The paper provides an overview of automatic creation of test patterns using different design for testability techniques (DFT). The main intent is to collect the data from specification, design and completely different synthesis environment and then applying various test conditions which aims at to reduce the time required for test case generation and also to relieve the designers from much tedious task. Increasing size and complexity of digital designs has …
Published in Recent Trends in Programming languages · Vol. 3, Issue 1, 2016 · pp. 1–6 Read article
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Two Decades of Research at the University of Lagos (2004-2023): A Scientometric Analysis of Productivity, Collaboration, and Impact
Abstract: This paper presents a scientometric analysis of research output from the University of Lagos, focusing on the two decades spanning 2004 to 2023. Using bibliometric data retrieved from the Web of Science, we examine trends in publication volume, collaboration patterns, citation impact, and the most prolific authors, departments, and research domains at the university. The study reveals a consistent increase in research productivity, with the highest publication output recorded in …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 21–37 Read article