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621 articles for “Data analytics”
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Looking into how modern technology combines sensors and Artificial Intelligence
Abstract: The combination of sensors and Artificial Intelligence (AI) is changing modern technology by making it possible to collect, analyse, and make decisions based on data in real time. Sensors are the main link between the real and digital worlds. They collect several types of data, like temperature, motion, pressure, and visual information. When used with AI methods like machine learning and deep learning, this data may be processed in a …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 · pp. 14–26 Read article
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An Interoperability on the Internet of Things (IoT): A Review
Abstract: With technological advancement growing at a rapid rate, we are presented with numerous ways of connecting ourselves to the rest of the world. The Internet of Things, or IoT, is now a reality, even at the minuscule level. With ubiquitous computing, we can stay in constant communication with the outside world. As such there are several types of devices capable of monitoring, measuring, and sending data back and forth from …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 40–53 Read article
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Machine Learning Based House Price Forecasting
Abstract: This research endeavours to craft a predictive model leveraging machine learning to estimate the market value of houses in Delhi. By integrating Python and its powerful libraries, pandas for data processing, Plot for interactive visualizations, scikit-learn for implementing machine learning algorithms, XGBoost for boosting the model's prediction accuracy, and to evaluate the model's performance cross-validation techniques are used. An interactive user interface is created using a Flask web application to …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 5–11 Read article
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Building a Smart, Secured and Sustainable Campus: A Self-powered Wireless Network for Environmental Monitoring
Abstract: Traditional wired sensor networks for building environmental monitoring often face challenges related to scalability, cost, and resilience. This paper introduces a novel concept called the Green Environmental Monitoring Network (green EMN), tailored specifically for campus environments. The objective of this study is to propose a self-powered wireless network solution that utilizes strategically deployed wireless sensor nodes within buildings for environmental data collection while integrating advanced security measures and sustainable power …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 27–44 Read article
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Leveraging IoT and AI for Real-Time Monitoring and Optimization of Polymer Production Processes
Abstract: Integrating the Internet of Things (IoT) and Artificial Intelligence (AI) technology provides a transformational potential for the polymer manufacturing business, allowing for real-time monitoring and better control of production processes. This paper explores the synergistic application of IoT and AI to achieve greater efficiency, sustainability, and quality control in polymer manufacturing. IoT sensors and devices may capture massive volumes of data from different phases of the manufacturing process, delivering real-time …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–16 Read article
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AI-Driven Product Management Assistants: Co-Pilot or Competitor for the Future PM?
Abstract: The emergence of Artificial Intelligence has led to a big transformation in the field of product management. When AI first came into picture, it was limited to the routine tasks but now AI assistants are able to handle a lot of decision making and streamline the execution process involved in product management. A major question with this emerging technology: can these assistants now or in future handle the work of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 58–63 Read article
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AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations
Abstract: In the current landscape of escalating cyber threats and increasingly sophisticated attack vectors, integrating artificial intelligence (AI) within cybersecurity strategies has become a critical step forward. This study explores the role of AI in strengthening cybersecurity by utilizing its strengths in data analysis, pattern recognition, and predictive modeling. Through AI, organizations can greatly enhance their ability to detect and respond to threats. Machine learning algorithms enable ongoing adaptation to new …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 35–41 Read article
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IOT- Based Smart Transportation Management System
Abstract: Rapid urbanisation has created a situation in which traffic congestion has become one of the major problems affecting many aspects such as, mobility, safety and environmental quality. The solution for traffic management problems is a smart transportation management system (STMS) based on the Internet of Things (IoT) concept. This framework will improve the efficiency of traffic management with real time monitoring and control of traffic. The proposed system will consist …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Solitary Identification and Analysis of Considerate Nutritional Consumption and Identifying Malnutrition
Abstract: The food supply chain is in danger from various factors, including climate threats, such as heat waves, floods, droughts, and other extreme occurrences such as intensive livestock farming, demand for animal protein, practices for antimicrobial resistance and various other factors leading to serious food shortages and an increase in food prices. Malnutrition is a major issue, with an estimated 663 million individuals affected. Poor nutrition is a serious problem that …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 46–62 Read article
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Employing Cyber Security in Big Data
Abstract: Big data is identified by extreme measure of information generated at a standard premise by devices and internet-based sources. To construct valuable solutions for specific fields, this data can be treated and dismembered. Different techniques of computational and data analysis have been identified for usage in this domain. It has provided upward advancement of voluminous data processing registering models and tools. In traditional systems and innovations, the capability and handling …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 2, 2022 · pp. 18–21 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Impact of IoT & Big Data in Education: A Technological Review
Abstract: AbstractThe internet of things & Big data analytics in eLearning brings marvelous challenges & opportunities to learning institutions & students. In current trends, the enlargement of Pervasive computing, Social media, developing IoT capabilities, technologies such as cloud computing, and big data and analytics are humanizing the middle values of education and conducting investigate but also instilling a latest digital traditions and raising an IoT-centric society. The main purpose of this …
Published in Journal of Advances in Shell Programming · Vol. 5, Issue 3, 2018 · pp. 27–30 Read article
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Big Data and HR Analytics in Talent Management: A Study
Abstract: The discussion of the potential talent analytics provides HR practitioners is the goal of this article. The ability to analyses enormous volumes of data has become much more accessible over decades, and businesses are now using talent analytics to manage their workforce. There will be a lot of studies on how talent analytics may improve organizational decision-making. Majority of businesses use databases to hold complex data. A database is a …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 16–25 Read article
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State of the Art: A Pandemic Big HealthCare Analytics Solution: Image Data Classification Using Quantum MAML
Abstract: The modern age is facing many pandemic healthcare problems, e.g., covid 19, infections, inflammations, and many more, leading to critical, deadly situations. Survival rate can be increased with proper diagnosis of such data. We have proposed one of the implementations based on a medical image dataset for classification using deep reinforcement learning (RL) with quantum computing. Deep RL is the combination of DL (deep learning), generative adversarial network (GAN), and …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–9 Read article
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Big Data and Libraries
Abstract: AbstractVery large amounts of data are being generated due to digital technologies and online activities. Traditional database solutions, which were used as intelligent tools to handle small data, are ineffective in handling the present day big data which has the characteristics of high volume, velocity and variety. Big data analytic tools are employed to get useful insights out of big data. There are some open source big data analytic tools …
Published in Journal of Advancements in Library Sciences · Vol. 1, Issue 2, 2014 · pp. 56–62 Read article
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Toxicology 4.0: Integrating Artificial Intelligence, Big Data, Health Informatics, and Precision Analytics for Predictive Toxicity Assessment, Real-Time Toxicovigilance, and Personalized Patient Safety
Abstract: Background: Toxicology is undergoing a major transformation, increasingly described as Toxicology 4.0, driven by the integration of artificial intelligence (AI), big data analytics, health informatics, and precision analytics. Conventional toxicity testing is limited by high costs, lengthy timelines, and challenges in translating animal and low-throughput in vitro findings to humans. Aim and Objectives: To comprehensively evaluate the emerging role of Toxicology 4.0 in predictive toxicity assessment, real-time toxicovigilance, and personalized …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 Read article
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Visual Analytics with Machine Learning for Data-Driven Investigations of Product State Transmission in Production System
Abstract: In recent years, the significance of effectiveness and productivity has grown. Furthermore, the industry has been able to improve production system performance thanks to advances in processing power and advanced analytics. A better understanding of intermediate product stages is therefore required to take the relevant measures. To highlight the importance of this field of study, a study on data-driven probabilistic ML algorithms and their real-time applications to smart energy systems …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 2, 2022 · pp. 1–7 Read article
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A Survey on Big Data and Its Benefits and Challenges
Abstract: AbstractThe objective of this article is to spectacle the benefits and vital issues of big data and its several challenging factors in companies and organization. It also expresses which kind of big data companies are expected for their needs and how much big data is designed for produced. Innovative resources of big data include location specific data arising from traffic management, and from the tracking of personal devices. With such …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 2, 2017 · pp. 1–7 Read article
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IoT-based Edge Computing Will Breach Data or Make Life Simpler
Abstract: Security is critical in today’s world since we have sensitive and confidential data that we do not want to share with anyone, yet adversaries attack our data and steal our identities. Similarly, with Internet of things (IoT), attackers attack devices or communication networks and steal data. Regardless of the source of the data, most current systems for cloud-supported, edge-data analytics employ rigorous bottom-up analytics approaches. Data are frequently generated at …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 2, 2022 · pp. 6–10 Read article
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Review on Strengthening & Retrofitting of RCC & Masonry Bridge Structure with Analytical Modelling of Sensor Data for the Durability of Bridge Structure
Abstract: In later a long time, monstrous advancement in Structural Health Monitoring (SHM) of bridges makes a difference address the life span and unwavering quality of bridge structure at differentiating stages of their benefit life. This article gives a point-by-point understanding of bridge observing, and it centers on sensors utilized and all sorts of harm location (strain, Displacement, acceleration, and temperature) concurring to bridge nature (scour, suspender failure, disconnection of bolt …
Published in Trends in Transport Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 16–23 Read article