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69 articles for “massive data”
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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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Optimization of Hybrid Precoding in Massive MIMO using Kalman’s Algorithm
Abstract: The ever-growing demand in the market for the high data rate and high spectral efficiency increases the need to use the available band ofspectrum more efficiently. The future is dependent on using the frequency bands more efficiently. The most recent and trending 5G technologyuses the mm Wave band for its transmission. This band in the 60 GHz frequency uses MIMO systems along with many other leadingtechnologies or methodologies like hybrid …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 2, 2023 · pp. 7–19 Read article
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Emerging Trends in 5G and Beyond-5G Wireless Networks
Abstract: Wireless networks have evolved in the blink of an eye from 4G to 5G and are progressing towards beyond-5G (B5G) frameworks, leading to revolutionary changes in connectivity, speed, and network smarts. This review discusses trending features, challenges, and future trends of 5G and B5G wireless communications technologies. It presents chief goals of 5G, such as ultra-low latency, high spectral efficiency, massive machine-type communication, and up to 10 Gbps user data …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 11–19 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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Electronic Resources of University Libraries: AI-Driven Management and Optimization
Abstract: In order to maximize accessibility, utilization, and efficiency, university libraries’ growing reliance on electronic resources (ER) has prompted the creation of sophisticated management techniques. The difficulty of handling enormous volumes of data has increased as educational institutions move from conventional physical collections to massive digital repositories. A key instrument in revolutionizing library operations, artificial intelligence (AI) offers creative ways to improve retrieval methods, manage digital resources more effectively, and customize …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 8–15 Read article
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Cloud: Storage Technique
Abstract: There has been a massive deal of development in the field of cloud computing. Amount of data to be stored is increasing exponentially, which has led to the development of different storage techniques to provide greater efficiency like PDDS, SETiNS, Deduplication, Parallel de-fragmentation. This paper explains about these different techniques in detail.
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 1, 2018 · pp. 6–16 Read article
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Deep Learning Based Plant Disease Detection
Abstract: Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphone-assisted disease diagnosis. Using a public dataset of images of diseased and healthy plant leaves collected under controlled …
Published in Journal Of Network security · Vol. 8, Issue 2, 2020 · pp. 33–42 Read article
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Assessment of Exposure to and Effect of Organochlorine Pesticides on Birds in India
Abstract: Effects of pesticides on birds have been well documented in many European and North American countries. Although we have some information on the levels of persistent environmental contaminants in many species of birds in India, due to lack of adequate data, we are unable to make any direct correlation with the reported population decline. Of all the birds, levels of DDT, HCH and dieldrin recorded in some of the species …
Published in Research and Reviews: A Journal of Toxicology · Vol. 1, Issue 1-3, 2011 · pp. 20–27 Read article
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Design of Solar and Wind Power Generation System
Abstract: AbstractIn current year’s generation of electricity victimization, the various kinds of renewable sources square measure specifically evaluated within the economic performance of the overall instrumentality. Solar power and wind power have received considerable attention worldwide. The bestowed methodology is applied to gauge the potential of Solar (photovoltaic) –wind hybrid system to provide electricity for a community and different state. It has helped in reducing pollution and thereby overcoming global warming. …
Published in Trends in Opto-electro & Optical Communication · Vol. 8, Issue 3, 2018 · pp. 8–16 Read article
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Cyber-Secure IoT Framework for Monitoring Fiber-Reinforced Polymer Composites Using Embedded Sensors
Abstract: The present research paper suggests a cyber-safe Internet of Things system in real-time monitoring of fiber-reinforced polymer composites with inbuilt sensors. It is aimed at enhancing structural health maintenance, using sensual, intelligent analysis, and data protection in the same platform. Multi-layer architecture An embedded sensor, signal processing, anomaly detection and lightweight layer of cyber-security are developed. Experimental validation is done under controlled conditions and the performance is measured by these …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 434–458 Read article
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DNA Cryptography based Data transmission
Abstract: Abstract: The biological research in the field of information technology covers the exploitation of storing capabilities, parallelism and also in conservative cryptography which enhances the security features for data transmission. DNA (deoxyribonucleic acids) is the gene information which encodes information of all living beings. Though the DNA computing has its application in the field of huge information storage, massive parallel processing, low energy consumption which have been proposed and proved …
Published in Journal Of Network security · Vol. 7, Issue 3, 2019 · pp. 31–40 Read article
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AI For Climate Vulnerability Assessment
Abstract: Climate change is one of the biggest problems we face every day. The main problems are high temperatures, rising sea levels, and changes in weather, which will be worse in the upcoming years. To predict and adapt to these impacts, we need to create data-driven solutions. The main tool for predicting climate change was artificial intelligence, which can also be utilised to predict the weather and alert people of impending …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 18–33 Read article
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Clustering the Data in Search Engines
Abstract: AbstractContents of the internet is rapidly growing day by day. To reach the information we search on the internet, we're using internet search engines, which can return millions of search results depends on the query. Finding the information needed on the search results can be a massive problem. Search result clustering is a useful operation to solve this problem. In this paper, results taken from search engines divided into a …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 3, 2014 · pp. 1–5 Read article
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Study and Analysis of 5G Research Activities
Abstract: This paper summarizes the key initiatives in favor of 5G wireless communication networks. Recent program and project activities and documents are highlighted. A closer examination of a series of 5G-related projects in the European Union is carried out. The literature review is limited to recent issues of IEEE Communications 5G Journal and related white papers from various sources. The aim is to shed light on what 5G is: what are …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 3, 2021 · pp. 18–27 Read article
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Modern Technology Demonstrates the Understanding of Forecasting in the Age of A rtificial I ntelligence and Big Data, Minds Versus Machines
Abstract: AbstractArtificial Intelligence (AI) is a machine learning process and it is the easiest and fastest way to implement business plan. Now a day, automation brings the most value for applying to narrow, repetitive and quick business decisions. It has made thousands of times a day, saving labor hours, replacing the more boring aspects of knowledge work. That’s why AI has proved successful at automating repetitive finance tasks, machine processes such …
Published in Research and Reviews : Journal of Computational Biology · Vol. 9, Issue 1, 2020 · pp. 4–9 Read article
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The Emerging Technologies in the Field of Semiconductors Along with the Use of the System on Chip
Abstract: An entire electronic or computer system can be combined onto a single platform using a system on chip, which is effectively an integrated circuit. The primary objectives underlying the development of this system on chip are to decrease energy waste, cut costs, and decrease the area occupied by massive systems. Students can understand and experience many methods utilised at each level of the design hierarchy using this strategy. The expansion …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 1, 2024 · pp. 8–15 Read article
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IOT-Driven Room Security: Face Detection and Pin Access Control
Abstract: In our ever-evolving digital world, ensuring the security of our personal spaces has become paramount. This research paper introduces a smart anti-theft system powered by the Internet of Things (IoT). It combines face recognition, PIN code access, and motion-triggered face verification to fortify room security. If an unauthorized person tries to enter, the system instantly alerts both the owner and authorized users, while automatically locking the room. The term "Internet …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 3, 2023 · pp. 12–17 Read article
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A Review Study on CPU-Optimized Parameter-Efficient Fine-Tuning for Large Language Models to Increase Accuracy Using LoRA
Abstract: The fast proliferation of large language models (LLMs) has increased the need to optimize the process of fine-tuning, but the existing workflows that require a graphics processing unit (GPU) are still expensive, intensive, and unavailable to most researchers. This paper is driven by the desire to have a more cost-efficient and democratized version by examining a CPU-efficient implementation of parameter-efficient fine-tuning (PEFT) based on low-rank adaptation (LoRA). The major purpose …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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Mapping of Dangerous Glacial Lakes by Using Systematic Extraction Approach in Different Catchments of Upper Indus Basin (UIB) Pakistan
Abstract: The glaciers are nature's most valuable fresh water resource for irrigation, industry, and hydroelectric growth, as well as for the present and future needs of millions of people who live downstream. Numerous of the waterways in the HKH region receive a significant percentage of ice melt water from this solid reservoir. Many of the glaciers which consist of massive amount of permanent snow and ice are found to generate several …
Published in Research & Reviews : Journal of Space Science & Technology Read article
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Factors Affecting Farmers Participation in Soil and Water Conservation Practices at Qenshiben Watershed Central Ethiopia
Abstract: Soil erosion is among the foremost causes of declining soil resources in Ethiopia, which in turn affect agricultural productivity. To limit this problem, for the last two decades’ soil and water conservation measures have been practiced via free labor community mass-mobilization program. Following the launch of the program, farmers massively and voluntarily implemented soil and water conservation measures on the farm lands at different parts of the country. Participation of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 3, 2024 · pp. 10–22 Read article