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1868 articles for “Artificial intelligence, Natural Language Processing (NLP), Fuzzy Logic, Deep Learning, Covid-19” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Quantitative Fuzzy MCDM Framework for Decision Support in Uncertain Environments
Abstract: Fuzzy mathematics play an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and it signs other possible solutions in addition to fuzzy mathematics. Fuzzy models offer a versatile and precise approach to assessing complex situations through the use of fuzzy sets, membership functions, and aggregation methods. Through time, cost and quality, the project management case study illustrates how fuzzy logic works for them. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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Design and Validation of an Artificial Intelligence-Driven Digital Twin for Real-Time Monitoring and Control in Polymer Composite Manufacturing
Abstract: Polymer Matrix Composites (PMCs) have become indispensable in high-performance sectors such as aerospace and automotive engineering, offering exceptional strength-to-weight ratios that outperform traditional metals in many demanding applications. However, the reliability of manufacturing PMCs via Vacuum-Assisted Resin Transfer Molding (VARTM) is frequently undermined by stochastic process variabilities. Unpredictable fluctuations in thermal history, preform permeability, resin rheology, and ambient conditions often lead to some defects; namely voids, dry spots, and incomplete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 224–233 Read article
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A Review on Artificial Intelligence Techniques for Analyzing Deforestation and Illegal Logging Using Satellite Imagery
Abstract: Deforestation and illegal logging remain critical environmental threats, driving biodiversity loss, climate change, and socio-economic disruption. Conventional monitoring techniques frequently do not yield real-time, large-scale insights. Recent developments in Artificial Intelligence (AI), especially in deep learning and computer vision, have revolutionized the ability to analyze high-resolution satellite images for detecting deforestation and monitoring illegal logging. This review synthesizes recent developments in AI-driven approaches, highlighting convolutional neural networks (CNNs), anomaly detection …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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Post Covid-Sequela: Novel-Inception of DM: A Review
Abstract: As patients recovers from COVID 19 pandemic, a subset of the covid patients experienced a post covid condition with long term symptoms, few weeks after their discharge or recovery from the (SARS-CoV-2) infection. Hence, we tried to prove the hypothesis whether diabetes mellites is an afresh possible sequala of covid infection by systematically evaluating the consistently changing glucose level of the post covid patients. The databases PubMed and Google Scholar …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 Read article
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The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation
Abstract: Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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Artificial intelligence-integrated nanobiotechnology for precision medicine, smart diagnostics, and sustainable environmental applications
Abstract: Background: Nanobiotechnology integrates nanoscale materials with biological systems, enabling breakthroughs in drug delivery, biosensing, and environmental monitoring. However, the complexity of biological interactions and the vast parameter space of nano‑bio interfaces limit conventional design. Artificial intelligence (AI) offers powerful tools for modelling, predicting, and optimising these systems.Objective: This review provides a systematic, STM‑compliant overview of AI‑integrated nanobiotechnology across three domains: precision medicine (AI‑optimised nanocarriers, personalised therapeutics), smart diagnostics (AI‑powered nano‑biosensors, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Plastic Recycling Process Using Fuzzy Analytical Hierarchy Process
Abstract: Recycling is known to most people as an activity in domestic waste separation with huge financial benefits. However, material reclamation flows at many scales play important roles in a number of industries. The waste generated from the plastic is a huge some, in which polyethylene is 34% of total plastic waste. So it is highly crucial to select the best plastic recycling process. Fuzzy AHP is a synthetic extension of …
Published in Journal of Industrial Safety Engineering · Vol. 2, Issue 2, 2015 · pp. 17–22 Read article
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Advancement of Lifelong Learning Through Online Communities
Abstract: The concept of long-lasting learning has risen with the development of web and e-learning. In today's competitive environment, learning is not restricted to a conventional four-year degree but is a progressing handle that endures all through the lifetime of a person. The Web offers curiously conceivable outcomes for dispersing instructive fabric to understudies, both locally and as portion of farther education. One of the vital parts of higher instruction in …
Published in Current Trends in Information Technology · Vol. 13, Issue 2, 2023 · pp. 9–17 Read article
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Computational Intelligence and Neuro-Fuzzy Modelling of Polymer Composites: A Critical Review of Performance Prediction and Optimization
Abstract: The increased variety in polymer matrices, reinforcements, fillers, and processing parameters has led to the need to better understand the structure-property, process-property relationships in order to accurately predict and optimize the performance of polymer composites. This paper reviews the applications of computational intelligence methods in polymer composites, with special focus on artificial neural networks, adaptive neuro-fuzzy inference systems, machine learning techniques, and hybrid optimization. The literature is analyzed based on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Artificial Intelligence–Driven Decision Support Systems for Smart and Efficient Data Analysis
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology reshaping the way organizations process information, analyze data, and support decision-making. With the rapid growth of digital data across sectors, traditional analytical methods often face limitations in handling large, complex, and dynamic datasets. AI-based techniques, particularly machine learning and intelligent decision support systems, provide advanced capabilities for identifying hidden patterns, predicting outcomes, and assisting in data-driven decisions. This paper examines the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Role of E-Learning-Virtual Classroom Teaching During COVID-19
Abstract: The cross country COVID-19 lockdown has constrained K-12 schools and colleges to close and send their understudies home which, thus, has affected more than 91% of the world's understudy populace. The closure has placed unprecedented challenges on governments, institutions, teachers, parents and caregivers around the world. During COVID-19 education has become the most important issue in the world. Due to the dire effects of corona virus all the education institutes …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 8, Issue 1, 2021 · pp. 5–10 Read article
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Role of Deep Learning in Image Recognition
Abstract: Deep learning (DL) is a part of machine learning (ML) while ML is a subarea of artificial intelligence (AI). Deep learning or convolutional neural network (CNN) is a kind of neural network (NN). Nowadays, DL is playing a peculiar role in image recognition. It is being applied for recognizing speeches, language translations, automatic game playing, healthcare, and Self-driving a car as well. The concept of DL was proposed by Alexey …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 34–39 Read article
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Usage of Artificial Intelligence and Machine Learning in Share Market
Abstract: Lately, because of the fast improvement of man-made consciousness (AI) and Machine Learning, its application has been broadly utilized in numerous parts of monetary zone, just as essentially impacts share market, organizations and guideline. The man-made reasoning innovation carries tremendous change to the whole money related industry, which makes a progression of inventive monetary administrations, for example, shrewd advisor, wise loaning, observing and cautioning, and keen client support as times …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 3, 2021 · pp. 16–19 Read article
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Identification of Potato Plant Leaf Disease Using Different Artificial Intelligence (AI) Techniques: A Review
Abstract: One of the nation's most vital industries is agriculture. Employment possibilities are abundant in emerging nations like India. The livelihoods of nearly 70% of the global population depend on agriculture. In this study, we have evaluatednumerous articles that have been released on potato plant leaf disease (PLD)diagnosis and classification utilising machine learning (ML)or Deep Learning (DL)methods. There are several causes of leaf diseases in plants, including bacteria, viruses, fungus, and …
Published in Journal of Open Source Developments · Vol. 10, Issue 3, 2023 · pp. 7–19 Read article
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Survey on Progress in Agricultural Yield Prediction-from Machine Learning to Deep Learning
Abstract: Machine learning has offered new prospects for data-intensive study in the multidisciplinary field of Agri-technology, especially with the rise of big data systems and advanced computers. Machine learning is a powerful decision-making tool for predicting crop yields, as well as determining which crops to plant and what activities to engage in during the crop's growing season. To facilitate the study of the prediction of the agricultural yield many techniques of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 12, Issue 1, 2022 · pp. 6–16 Read article
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Impact of AI Tools in Software Engineering: Boon or a Bane
Abstract: Artificial Intelligence (AI) has become a transformative force, revolutionizing diverse sectors by integrating intelligent systems into everyday processes. Natural Language Processing (NLP) plays a crucial role, enabling machines to understand and produce human language, marking a significant advancement in technology. This innovation has various applications, including chatbots, language translation, and sentiment analysis, thereby improving interactions between humans and computers and facilitating information processing. Generative AI, a subset of AI, takes …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 14–23 Read article
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Study of Blended Learning of Artificial Intelligence in Cybersecurity
Abstract: Nowadays there are huge applications of internet of things, and cyberattacks are causing concern all over world. To avoid cyberattacks, designing cybersecurity approach is today’s basic need. Artificial intelligence has appeared as a powerful tool in the domain of cybersecurity and can be tuned to deal with cybersecurity and cyberthreats. Cybersecurity is an incredibly growing field since the past decade, there are many applications based on cybersecurity, eventually threats are …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 1–6 Read article
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A Study of ROI Based Sign Language to Text Translation in Real Time Using Deep Learning
Abstract: Since sign language is their primary form of communication, it plays a significant role in the lives of hearing and speech disabled people. However, since not everyone is conversant in sign language, it is challenging for the disabled to interact with others daily. Sign language is made up of a variety of hand gestures that may stand in for a wide range of words and sentiments. The purpose of this …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
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Applications of Machine Learning Algorithms in Health Data Science (HDS) for Next Research Directions: A Survey Report
Abstract: At present time, data science is the big trend in computer science. The functioning of this technology is purely based on other advanced technology known as machine learning (ML). Data science and ML are subsets of artificial intelligence (AI). When a process of data science is used in healthcare systems, the new system is known as health data science (HDS). HDS is a branch of data science used to handle …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 16–21 Read article
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Prostate Cancer Detection Using Deep Learning
Abstract: Prostate Cancer is a cancer occurs in prostate gland which is located in male reproductive system. According to the WHO (World Health Organization) the estimated cancer cases in the year 2020 is about 1.4 Million. Prostate cancer is one of the reason for death in men. In this paper we have presented Secondary verification tool for doctors or for normal users to check patient have a cancer or not. And …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 21–26 Read article