Search
137 articles for “near field”
-
Aluminium-Doped Zinc Ferrite Nanoparticles Synthesized by Combustion Method for Polymer Composite Applications
Abstract: ZnFe₂₋xAlₓO₄ (x = 0 and 0.5) nanoparticles were synthesized via a combustion method owing to its simplicity, cost efficiency, and ability to produce highly crystalline nanomaterials. Powder X-ray diffraction (XRD) analysis confirmed the formation of a single-phase cubic spinel structure without detectable secondary phases, indicating high phase purity. The average crystallite size was estimated to be in the range of 14–20 nm, confirming the nanocrystalline nature of the samples. Field-emission …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 272–282 Read article
-
A Study on K-Nearest Neighbor Techniques with Other Techniques
Abstract: AbstractThe closest neighbor (NN) system is basic, exceptionally proficient and feasible in the field of example acknowledgment, content arrangement, object acknowledgment and so forth. Its straightforwardness is its primary preferred position; however, the impediments cannot be overlooked even. The memory necessity and calculation unpredictability are moreover matters. Numerous methods are created to defeat these restrictions. NN procedures are comprehensively ordered into structure less and structure-based procedures. In this paper, we …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 7–11 Read article
-
Polymer-Based Acousto-Optic Ultrasonic Sensor for Non-Destructive Evaluation of Dielectric Insulation
Abstract: A dual-polymer fiber-optic sensor for monitoring partial discharge (PD) activity in high-voltage polymeric insulation is presented in this work for non-destructive evaluation and dielectric testing applications. Dielectric weakness within polymeric insulation leads to partial discharge activity, generating ultrasonic acoustic waves that propagate through the medium. The developed sensing assembly comprises a conical polymer-based horn that gathers and concentrates the ultrasonic acoustic emission energy generated by dielectric weakness, and a single-mode …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 11–24 Read article
-
Prospective of the Application of Synthetic Biology to Engineered Genetic Circuits
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Synthetic biology is the engineering of biological system for the creation of useful and novel properties into the system. This subject tries to use bottom-up approach to answer some of the basic questions in biology like why nature has done something in one way instead of the other. Feedback loops have been used extensively in making genetic circuits through synthetic biology approach …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 2, Issue 2, 2012 · pp. 25–37 Read article
-
Decrement of Spin-orbit Splitting Near Calcium Region
Abstract: Explanation of the observed decrement of splitting of spin-orbit partners near shell closure, has been sought through an introduction of tensor interaction in a mean field type of calculation. The strength of the tensor interaction used in the Skyrme Hartree Fock theory has been optimized by the reproduction of the experimentally determined splitting of 1d, 1f and 2d shell model states (both neutron and proton) of the isotopes of Calcium …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 11–22 Read article
-
Autonomous Military Robot with Short Range Radar and Guidance System
Abstract: AbstractThis paper proposes a completely wireless-based navigation system for high-speed navigation for unmanned ground vehicles (UGVs) on the varied landscape. This paper presents huge, precisely adjusted and time-synchronized datasets, accumulated outside, in controlled natural conditions, utilizing an automated ground vehicle e(UGV), furnished with a wide assortment of sensors to gauge the dynamic field. The hardware circuit is created in the "short separation radar" of the UGV way shape and longitudinal …
Published in Journal of Microelectronics and Solid State Devices · Vol. 7, Issue 2, 2020 · pp. 4–8 Read article
-
Solar and Screw Hydropower Turbine for Power Generation – A Comprehensive Study
Abstract: Micro-hydro power plants rely on efficient screw pump systems to harness the kinetic energy of flowing watercourses for electricity generation. Landustrie, with nearly a century of expertise in screw pump technology, has been pivotal in advancing the field. This paper examines the evolution of screw pump technology within micro-hydro power generation, highlighting Landustrie's contributions and the introduction of automated screw pump selection software. In contrast, screw hydropower turbines use the …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 14–19 Read article
-
Parallel Greedy Approach for Phylogenetic Tree Construction in the Context of Marine Species
Abstract: The rebuilding of phylogenetic trees for marine species shows major computing problems because of the massive genomic data and the huge biodiversity inherent in ocean ecosystems. Traditional phylogenetic methods are accurate but become more expensive when they are processing with thousands of marine taxa parallelly. This article shows a critical analysis of parallel greedy algorithms as an adaptable solution for large-scale marine phylogenetics. It examines the main principles of greedy …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 33–45 Read article
-
In silico Screening of Some Natural Sesquiterpenes Against Diverse Therapeutic Targets: A Multitargeted Approach
Abstract: The present research was rational in-silico based exploration of other significantly essential pharmacological potentials of the existing natural sesquiterpenes by using the Schrodinger software which is already known to scientific community owing to their anticancer and antibacterial potentials. The sesquiterpenes have been explored for possible therapeutic excellence by screening against Lipoxygenase-5 (anti-inflammatory), Cycloxygenase-2 (anti-inflammatory), Dipeptidyl peptidase (antidiabetic), Cyclin-Dependent Kinase-5 (anticancer), Angiotensin-1 Converting Enzyme (antihypertensive), and Protein kinase C (anticancer). The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 6, Issue 2, 2019 · pp. 10–15 Read article
-
Automated Brinjal Leaf Disease Detection Using Machine Learning: A Sri Lankan Study
Abstract: The spread of plant diseases has a significant negative impact on agricultural output quality and yield, resulting in significant economic losses. Plant disease automation in agricultural science is our country's main concern due to the economic crisis and the emphasis on organic farming practices. Furthermore, the accuracy and efficiency of recognizing sick leaves have increased due to the expanding usage of smart technology. This study uses machine learning and image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 41–56 Read article
-
Comparative Study of Machine Learning Algorithms for Detection of Breast Cancer
Abstract: Breast cancer continues to be the most commonly diagnosed cancer among women, with more than 2.3 million new cases diagnosed yearly worldwide. It is stated as the leading cause of cancer-related deaths. Therefore, this emphasizes the dire necessity for early diagnosis with a view to improving survival. Early diagnosis elevates the effectiveness of prediction and treatment. This research carries out a structured and analytical evaluation of various machine learning algorithms, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 113–129 Read article
-
Theoretical Study of Surface Waves in Hexagonal Boron Nitride (hBN)
Abstract: Hexagonal boron nitride (hBN) is a wide bandgap semiconductor material in which Boron (B) and Nitrogen (N) atoms form hexagonal structure and has number of robust properties of technological importance. Boron nitride nanotubes (BNNTs) are very nice area of research in recent years. Its structure is similar to carbon nanotubes (CNTs) where carbon atoms are arranged in hexagon. hBN is also known as White Graphene. Various methods are employed to …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 1, 2024 Read article
-
Will Artificial Intelligence Open a New Door in Anaesthesia Practice?
Abstract: The research used big data obtained from Electronic Medical Records (EMR), Computerised Physician Order Entry (CPOE) systems and picture archiving and communication systems (PACS). The traditional techniques of statistics are difficult to apply on large data or big data of electronic medical records (EMR) due to vastness or complexity. The artificial intelligence technique is valuable means to handle such data of EMR. Other than artificial intelligence, machine learning is very …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 1, 2020 · pp. 29–37 Read article
-
Review on Azo-Compounds and Their Applications
Abstract: Azo-colored compounds that form the basic structure of many synthesized compounds in many fieldsof chemistry, especially coordination chemistry, as they contain a group (-N=N-). These dyes arewidely used as colorants, as they contribute to nearly 50% of artificial colors. Also in manyapplications such as ink-jet printing, optical imaging, and biomedical diagnostics , azo dye containsone or more D-π-A systems that can produce various colors by changing the electron donation (D) …
Published in Journal of Catalyst & Catalysis · Vol. 8, Issue 2, 2021 · pp. 8–16 Read article
-
Empowering Communication: A Review of Sign Language Translation Systems Powered by Machine Learning
Abstract: This research study offers a fresh solution to the communication gap between the hearing population and the deaf and hard-of-hearing community: the creation of a machine learning-based sign language translator. By utilizing cutting-edge K Nearest Neighbour (K-NN), the system effectively converts sign language motions into text and vice versa, facilitating smooth communication between sign language users and well-read people. The basis of the project is thorough data collection and careful …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 25–31 Read article
-
Artificial Intelligence and Edge Computing in Oil and Gas: Applications, Architectures, and Operational Realities
Abstract: Artificial intelligence has arrived in oil and gas, and unlike some previous waves of digital enthusiasm in the sector, this one is sticking. Saudi Aramco analyses approximately 10 billion data point every day and reported USD 4 billion in technology-driven operational gains in 2024. ExxonMobil uses AI to increase shale well output by more than 5 percent. Shell has deployed machine learning across more than 10,000 assets using C3.ai to …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 01–06 Read article
-
Sustainable Cotton Crop Productivity through Precision Weed Detection: A Deep Learning-Based Approach with UAV Integration
Abstract: Weeds present a major challenge to crop productivity by competing with crops for vital resources, including water, sunlight, and nutrients, often resulting in significant yield reductions. On a global scale, weeds are responsible for approximately 13.2% of annual crop losses, a quantity sufficient to feed nearly one billion people. These invasive plants disrupt agricultural systems and adversely impact crop yields. Given their uneven distribution in fields, ground or aerial robots …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 19–26 Read article
-
Intensifying Security with Smart Video Surveillance
Abstract: The smart video surveillance system is designed to observe the activities of people nearby for safety concerns. This smart video surveillance can be installed at malls, public areas, banks, businesses, and ATM machines. The field of network surveillance research is rapidly expanding. The cause for this is the global insecurity that is occurring in great extent. As a result, an intelligent monitoring system that gathers data in real time, communicates, …
Published in Recent Trends in Programming languages · pp. 24–30 Read article
-
Intensifying Security with Smart Video Surveillance
Abstract: The smart video surveillance system is designed to observe the activities of people nearby for safety concerns. This smart video surveillance can be installed at malls, public areas, banks, businesses, and ATM machines. The field of network surveillance research is rapidly expanding. The cause for this is the global insecurity that is occurring in great extent. As a result, an intelligent monitoring system that gathers data in real time, communicates, …
Published in Recent Trends in Programming languages · Vol. 9, Issue 1, 2022 · pp. 24–30 Read article
-
Using Artificial Intelligence to Leverage against COVID-19
Abstract: Coronavirus disease (COVID-19) is a pandemic disease cases are increasingexponentially, which has made it difficult to identify and treat the patients challenging the treatment strategy. Thanks to the latest evolution in the field of information and communication technologies (ICT), artificial intelligence (AI) and Big Data which helps insurveying, forecasting and curing the outbreak. AI’s specialty to develop models from large amount of information and data–fusing atomic, analyticand illustrate data – …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 1, 2021 · pp. 7–10 Read article