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349 articles for “Data integration”
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Securing Web Applications: A Machine Learning Approach for SQL Injection Threats
Abstract: The rapid evolution and widespread adoption of the internet have significantly transformed the world, leading to an increased number of cyberattacks. Cybersecurity has become one of the most critical challenges for society, incurring substantial financial losses annually. This research focuses on SQL injection attacks, the specific threat to web applications, aiming to detect malicious queries designed to exploit vulnerabilities and access sensitive data. In recent years, the frequency of SQLi …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 16–22 Read article
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Design and Development of a Smart Automated Packaging System for Poultry Drumsticks
Abstract: The present work aims to design and implement an automated packaging system for poultry drumsticks that enhances operational efficiency, product quality, and adaptability. The integrated system offers a solution that complies with industrial quality and safety standards by sorting products, getting accurate weighing, and efficiently portioning food into 1-kilogram standardized units. By effectively reducing human involvement, operational inefficiencies, workforce requirements, and contamination hazards, the automation system becomes sufficiently adaptable to …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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Enhancing Business Expansion through the Integration of Artificial Intelligence and Business Intelligence
Abstract: Business intelligence (BI) and artificially intelligent technology (AI) give businesses a competitive edge and significantly boost growth. AI emulates human cognitive processes, learns from data, and makes intelligent decisions, while BI analyzes data for strategic insights. This study explores the synergies of integrating AI and BI, revealing opportunities for business expansion. AI algorithms analyze extensive datasets, enhancing predictions for customer behavior. The reciprocal relationship automates processes, elevates decision-making, and enables …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 1, Issue 2, 2023 · pp. 27–33 Read article
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IoT and Sensor Technologies: Revolutionizing Connectivity and Data Insights
Abstract: The Internet of Things (IoT) and sensor technologies have become integral components of modern technological ecosystems, fostering unprecedented levels of connectivity and data acquisition across various sectors. These technologies are pushing the boundaries of what is possible in the way devices interact, collect data, and make decisions autonomously. IoT and sensor technologies have a wide range of applications, spanning healthcare, agriculture, smart cities, and industrial automation, with their potential continually …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 1–7 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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Internet of Things in Smart Grid: Applications, challenges, Conditions, Architecture- A Review
Abstract: Future-generation intelligent optimisation in electrical system design is essential for managing electrical networks and distribution systems. It also requires interoperability variations in the implementation of physical or graphical models. The Internet of Things (IoT) plays a significant role in smart grids and distributed electricity systems. IoT enables the monitoring of the smart grid's electrical energy and facilitates the integration of real-time data into electrical grid architecture at various levels. Industrial …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Mysticism and Mind: A Critical Review of Parapsychological Studies in India
Abstract: Parapsychology holds a unique place in India, shaped by the country’s rich spiritual traditions and deep-rooted mysticism. The review aimed to look at how the field has evolved in India, blending with cultural beliefs and being subject to scientific scrutiny. It highlights the connection between ancient spiritual practices like meditation, yoga, and the third eye, and modern research into phenomena like extrasensory perception (ESP), telepathy, and psychokinesis. This review paper …
Published in International Journal of Education Sciences · Vol. 2, Issue 1, 2025 · pp. 29–33 Read article
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Industry 4.0 and Smart Manufacturing: A Review
Abstract: This review looks at Industry 4.0 and smart manufacturing's idea, enabling technologies, implementation issues, and future prospects. Drawing on recent literature, the paper synthesizes key pillars such as the Industrial Internet of Things (IIoT), cyber-physical systems (CPS), artificial intelligence, digital twins, and additive manufacturing. It highlights integration requirements across supply chains, cyber security concerns, workforce implications, and standards activities that influence adoption. The literature survey focuses on empirical studies and …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 14–17 Read article
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Designing Digital Filters of Underwater Wireless Sensor Node
Abstract: Underwater Wireless Sensor Networks (UWSNs), an emerging area, integrate sensing, computing, and communication into a single compact device. The digital data is acquired using an FPGA (Field Programmable Gate Array), and the fusion of numerous sensor data is accomplished in the sensor node’s ARM (Advanced RISC Machine) CPU. The sensor interfacing circuit should connect the sensor to the sensor node’s data collecting system. The data from these sensors may be …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 1, 2023 · pp. 43–53 Read article
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Revolutionizing Motorcycle Safety: A Deep Learning Approach for Helmet and Triple Riding Detection using Computer Vision Technology and Machine Learning Model
Abstract: Introducing a revolutionary paradigm in road safety, our project unveils the Intelligent Traffic Surveillance System (ITSS), a groundbreaking initiative poised to transform urban traffic management. In an era where road safety is paramount, ITSS emerges as a beacon of innovation, harnessing the prowess of computer vision and machine learning to tackle two of the most pressing concerns plaguing our roads: helmet non-compliance and triple riding among motorcyclists. At its core, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 28–36 Read article
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Smart City Solutions for Waste Management and Pollution Control
Abstract: Recent trends in the role of artificial intelligence, IoT, and other smart technologies have a critical role toward addressing urban environmental challenges related to air quality and waste management in the context of a smart city. This changes the scope of managing air quality as, with the integration of IoT sensors, big data, and AI, they are able to predict pollution levels through real time monitoring and analysis. These technologies …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 11–22 Read article
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Industry 4.0 and Smart Supply Chains: Transforming Supply Chain Processes for Enhanced Efficiency and Sustainability
Abstract: The fourth industrial revolution, or Industry 4.0, is an important transformation in how industries function via the use of cutting-edge digital technology. Supply chain management is being substantially altered by integrating technologies like blockchain, big data, automated processes, artificial intelligence, and the internet of things into typical operations of the supply chain. With the help of these technologies, corporations can design intelligent supply chains that are more effective, flexible, and …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 1, 2025 · pp. 36–41 Read article
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Mathematical Modeling of Epidemics Using Stochastic Differential Equations: A Review
Abstract: The accurate modeling of infectious disease dynamics is crucial for predicting outbreaks and informing public health interventions. While deterministic models such as the SIR (Susceptible-Infected-Recovered) framework have traditionally been used to understand disease transmission, they often fail to account for the randomness inherent in real-world scenarios. Disease spread is influenced by numerous uncertain factors, including individual behavioral changes, environmental fluctuations, and imperfect data reporting. These uncertainties can significantly impact model …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
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Automating time based Household electricity Bill Calculations for Efficient Budgeting
Abstract: Recurrent household expenses must be precisely, in time, and openly tracked to make efficient household budgeting. Conventional monthly billing performance tends to delay the financial information, which results in the inefficient cash flow management and inability to modify short-term expenditure patterns. The proposed research is a system to automatize the calculation of household bills per week in order to deliver more frequent and practical insights into the household spending habits. …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 1–16 Read article
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Unravelling the Power of Avro and Hadoop: Revolutionising Big Data Processing and Serialization
Abstract: As the technology is in progress, the accumulation of data is also increasing. As a result of which a lot of organisations are constantly seeking new yet innovative solutions to process and analyse this huge accumulation of data. Well Hadoop proved a gamе-changеr in thе rеalm of big data procеssing whereas Avro proved a solution provider to data Serialization. In this review work, wе will dеlvе into thе world of …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article
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Multimodal Data Fusion with Hybrid Machine Learning for Enhanced Prediction of Li-Ion Battery Remaining Useful Life and State of Charge
Abstract: Lithium-ion battery materials used in modern energy storage systems are required to exhibit high reliability, safety, and long lifecycle performance under varying operational and environmental conditions. Accurate prediction of Remaining Useful Life (RUL) and State of Charge (SoC) is therefore essential for understanding material degradation behavior, improving manufacturing quality, and enabling effective lifecycle management. However, nonlinear electrochemical aging, load variability, and thermal uncertainty significantly complicate accurate estimation of these parameters. …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Advanced Computational Models for Predicting Molecular Interactions
Abstract: Understanding molecular interactions is essential for a number of disciplines, including biochemistry, materials science, and medication development. Traditional experimental methods, while accurate, are often time-consuming and expensive. Advanced computational models have emerged as powerful tools to predict molecular interactions efficiently. In order to predict the behavior and interactions of molecules at the atomic and subatomic levels, this paper reviews the most recent developments in computational techniques, such as machine learning …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article
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Sensor Technologies in Robotics: A Review of Vision, Tactile, and Proximity Sensing Systems
Abstract: Robotics has undergone remarkable advancements in recent decades, largely driven by the integration of cutting-edge sensor technologies. Sensors serve as crucial for allowing robots to precisely logic, interpret, and react to the world around them. Among the most essential sensor types used in robotics are vision sensors, tactile sensors, and proximity sensors. These technologies strengthen a robot’s capacity for successful navigation, for example, object manipulation, and contact with people and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
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Ethical Consideration in the Use of Artificial Intelligence in Medicine and Healthcare
Abstract: Artificial Intelligence (AI) in medicine and healthcare offers tremendous potential for improving patient care, increasing the precision of diagnoses, and increasing operational efficiency. To ensure responsible application, however, the swift uptake of AI technologies also brings up important ethical concerns that need to be addressed. This article explores various ethical challenges in healthcare AI, including concerns about algorithmic bias, data privacy, informed consent, and accountability. Patients must be aware of …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 23–28 Read article
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Smart Patient Monitoring and Motion Tracking System
Abstract: The integration of smart technologies in healthcare has revolutionized patient monitoring and diagnostics. This paper presents a Smart Patient Monitoring and Motion Tracking System designed for hospitals, leveraging EEG (Electroencephalogram) signals to track patient movements and monitor neurological health. The proposed system combines motion tracking with real time EEG signal analysis to enhance patient safety, especially for individuals prone to seizures, neurological disorders, or other mobility-related risks. The system employs …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 9–23 Read article