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248 articles for “Provenance”
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Investigation of Undesirable Event by Fault Tree Analysis - Study of domestic LPG Gas Leak
Abstract: Fault tree analysis (FTA) is a dependable and commonly used method for analyzing and identifying the combinations of failures, faults, or events that could result in a specified top event, which is typically a system failure or malfunction. FTA is widely used in risk assessment, reliability engineering, and system safety analysis, and it has proven to be an effective tool for determining the likelihood and consequences of potential system failures. …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 1, 2023 · pp. 13–18 Read article
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Shape-Memory Polymer Systems in Custom-Fit Prosthetic and Orthotic Design
Abstract: SMP systems have now become important materials in constructions of custom-made prosthetic and orthotic devices. They can back and forth change shape based on heat, humidity or light. The capability allows physicians and patients to shape the devices quickly and change them in real time which is not possible with ordinary plastics. Antinomy, comfort is vital and distribution of forces changes continuously in the rehabilitation engineering. The solution to these …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 254–263 Read article
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Elevare – AI Career Suggestion Portal- Helping Students by Binding the Solutions at One Place
Abstract: The selection of suitable career has become very difficult and it's complexity is being increased day by day, due to advancement in technology and number of professional fields. conventional approaches of suitable of occupation focus on aptitude tests that in fact do not consider the variability in skills. This paper introduces a new AI-powered career suggestion portal called Elevare, which attempted to help students choose a career occupation based on …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 Read article
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Optimizing Performance Characteristics, Thermal Stability, and Manufacturing Performance of Polymer Nanocomposites Using Artificial Intelligence
Abstract: Artificial intelligence (AI) has proven an efficient method to optimize the design and manufacture of polymer nanocomposites, allowing the proper prediction of the behavior of the materials and the results of the processing. This work proposes an AI-based framework to enhance the performance characteristics, thermal stability and manufacturing performance of advanced polymer nanocomposites. The input variables of the proposed framework are the material composition, the nanoparticle concentration, the particle size, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Accessavior: AI-Driven Real-Time Adaptive Web Interfaces for Intelligent User Experiences
Abstract: As the web has become more diverse, many traditional, one-size-fits-all web accessibility solutions that must be configured manually have proven inadequate in meeting the needs of each user. This paper introduces “Accessavior”, which is an intelligent, behavioural pattern-driven accessibility framework that can automatically customize the personalization of web interfaces based on the interaction patterns of users. The proposed system will continuously track cursor behaviours such as cursor movements, keystroke characteristics, …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 14–22 Read article
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VeriSci—AI-Based Multi-Modal Research Assistant
Abstract: The exponential growth of scientific literature is a major bottleneck for academic researchers who want to efficiently discover, assess, and synthesize relevant scholarly knowledge. Traditional methods of literature review are heavily reliant on manual keyword searching, human screening, and subjective data extraction, making them time-consuming, susceptible to cognitive bias, and less effective as the tidal wave of information continues to grow. To overcome these limitations, this study introduces VeriSci, an …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 · pp. 20–27 Read article
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Xenopsylla cheopis and Plague: Biology, Transmission, and Control
Abstract: Xenopsylla cheopis, the oriental rat flea, remains the most important vector of Yersinia pestis in classical rodent–flea–human plague cycles. Its biology is tightly adapted to commensal rats, especially Rattus rattus and Rattus norvegicus, whose nests provide microhabitats that support all pre adult stages and favour persistent flea populations near humans. The flea’s holometabolous life cycle, including the capacity for prolonged pupal quiescence and opportunistic host-seeking by adults, underpins its ability …
Published in International Journal of Insects · Vol. 3, Issue 2, 2026 Read article
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Face Recognition Practices for Partial Occlusion: A Survey
Abstract: Over the years, biometrics has gained unparalleled popularity in digital medium and has proven its usefulness for several applications concerned with the threats and crime or security purposes. Face recognition is a widely emerging biometric for automating the surveillance, as it has aid in strengthening the security from several types of terrorist or criminal threats. However, there are several face recognition techniques which are categorized based on its error rates …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 3, 2014 · pp. 4–14 Read article
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Review Paper for Different Techniques Using Image Enhancement
Abstract: AbstractImage enhancement (IE) performs a basic position in vision purposes. Lately, plenty of work has been carried out in the discipline of IE. Many tactics have already been proposed until now for reinforcing the digital pictures. This paper has presented a comparative analysis of quite several IE methods. This paper has proven that the fuzzy logic (FL) and histogram founded tactics have fairly amazing outcome more than the obtainable systems. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 1, 2017 · pp. 27–32 Read article
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Effective Implementation of Apriori Algorithm to Develop a Suggestion System Based on Sales History Using Hadoop Environment
Abstract: AbstractThe need for comprehensive support system to analyze and predict the nature of the dynamic market based on the previous records is very vital in competent industries today. The data mining is a process of extracting implicit, previously unknown and potentially useful information from data. Mining is search for relationships and global patterns that exist in the large databases but that are hidden among vast amount of data. Since the …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 8–16 Read article
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Impregnability Framework For PMO
Abstract: Artificial Intelligence, when used with desired hardware systems has proven to be effective and smart than human surveillance and CCTV's, satellites are taking positions of watchmen and guardians for monitoring purposes with basic security concepts and development of AI aided security systems takes in use of what we have learnt over the period of our course. The proposed network security model for the Prime Minister’s office (PMO) includes both the …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 11–16 Read article
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Database Intrusion Detection Using Genetic Support Vector Fuzzy Clustering Learning Model
Abstract: AbstractThe rapid development of computer networks and increasing dependency of almost all companies and government agencies on Internet and cloud computing lead to the problem of stability and security like intrusions in several forms which can cause huge loss to these organizations. During recent years, disaster in data due to intrusions has dramatically increased. The hindrance of such intrusions is entirely dependent on their detection part which can be possible …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 32–40 Read article
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Parameter Estimation of Software Reliability Growth Model
Abstract: Reliability normally covers each and every part of the device thinking about hardware, software program and processes but software program reliability paperwork an important factor as we are continually worried with efficient and quality software program. Software reliability is a crucial characteristic of software, nice for predicting the diploma of creditability of the precise software for the specified time frame and in particular surroundings. Software reliability models are categorized into …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 15–22 Read article
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Review of Techniques Available to Improve Parameters of Microstrip Patch Antenna
Abstract: Abstract In this paper, authors have proven contrast of diverse techniques available to modify the parameters of microstrip patch antenna (MPA). MPA is usually used in modern conversation devices. Study of literature of beyond few years indicates that the main work on MPA is centered on designing compact sized broadband microstrip antenna (MA). Authors investigated various research papers published to regulate the antenna parameters, and made a contrast chart displaying …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 3, 2017 · pp. 39–44 Read article
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Image Processing Based Analysis of Fundus Images for Glaucoma Detection
Abstract: Precise and prompt identification of glaucoma is essential for its treatment. Fundus images provide important information, which shall be extracted using carefully designed image processing algorithms. The paper discusses a methodology for automatic detection of glaucoma from fundus images. The technique makes use of an elaborate image segmentation process, wavelet decomposition for feature selection and a proven classification model.Keywords: Glaucoma, fundus image, discrete wavelet transform, SVM classifierCite this ArticleShibina M.P, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 33–39 Read article
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A Study of Parameter Estimation Techniques for Reliability of Software System
Abstract: Abstract—Reliability normally covers every and every a part of the device thinking about hardware, software program and processes but software program reliability paperwork an important factor as we're continually worried with efficient and quality software program. Software reliability is a crucial characteristic of software nice for predicting the diploma of creditability of the precise software for the specified time frame and in a particular surroundings. Software reliability models are categorized …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 1, 2019 · pp. 1–6 Read article
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Impact of ML in Evolution of Recommender Systems: A Review
Abstract: Recommender systems have become indispensable tools in today's digital era, catering to the overwhelming demand for personalized recommendations in various domains such as e-commerce, content streaming, and social media. The continuous growth of data and user interactions has necessitated the integration of advanced machine learning (ML) techniques to enhance the accuracy and efficiency of these systems. This study provides a thorough analysis of current developments in machine learning methods used …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 26–32 Read article
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Analysis of Different Routing Protocols in Vehicular Ad Hoc Network
Abstract: Due to recent advances in inter-vehicular communications and decreasing cost of related equipment, VANETs have received much attention. It has been proven to be useful in road safety, pedestrian safety and many other commercial applications. For instance, VANET can be used to make drivers aware of the forthcoming traffic jam. It can also be used to avoid accidents by alerting the driver about the speed and location of nearby vehicles. …
Published in Recent Trends in Programming languages · Vol. 7, Issue 1, 2020 · pp. 20–26 Read article
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Redefining the Network Security with Zero Trust Model
Abstract: The fundamental problem in information security today is trust. Changing our trust model will change our networks and make them easier to build, maintain, and secure while making them more efficient, compliant, and cost-effective. According to the rule of law, all accused are deemed innocent until proven guilty, but Zero Trust security is not the case. The increased uncertainty created by such dynamicity adds to the access control process, highlighting …
Published in Journal of Open Source Developments · Vol. 8, Issue 3, 2021 · pp. 22–28 Read article