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581 articles for “Machine intelligence”
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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
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Development of a Machine Learning and Artificial Intelligence Based Model Aimed at Forecasting the Prognostic Impact of C-Reactive Protein in Myocarditis
Abstract: The specific role of inflammation markers in myocarditis remains uncertain. We investigated the diagnostic and prognostic significance of C-reactive protein (CRP) levels at the initial diagnosis among myocarditis patients. Our retrospective study enrolled patients clinically suspected (CS) or biopsy-proven (BP) with myocarditis, with available CRP data at diagnosis. We collected patient information, including clinical, laboratory, and imaging findings at diagnosis and follow-up visits. We utilized machine learning methods, specifically random …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 12–24 Read article
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A Machine Learning Based Artificial Intelligence Model for Detecting Heart Illness
Abstract: This study centers around the improvement of an artificial intelligence- and computerized reasoning-based heart sickness determination framework. We exhibit how AI can help with foreseeing whether an individual will get cardiovascular infection. In this review, a Python-based application for medical care research is created since it is more reliable and helps track and lay out many kinds of well-being observing applications. We show information handling, which incorporates working with all …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 50–58 Read article
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A Review Paper on Importance of Artificial Intelligence
Abstract: Artificial intelligence is a kind of “universal global neural network” which connects different things easily with their algorithms and software. Artificial intelligent is the intelligent machine which works better than human beings. It is replacing the work done by human beings from machines. This technology is rapidly increasing day-by-day. Already we have so many applications of this technology are used tremendously. Machine learning, problem solving and perception are the part …
Published in Current Trends in Signal Processing · Vol. 9, Issue 2, 2019 · pp. 1–5 Read article
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Use of Intelligent Control Systems to Manage Traffic Effectively and Productively
Abstract: Intelligent control system is the advanced technology in which the collected data is provided to A.I. and with the help ofvarious methods like machine learning, neural networks, Bayesian probability, fuzzy logic the solution to a particularproblem is found.In a country’s growth the traffic management plays a great role as the maximum industries depends on the highways orroads and when it is well planned it can reduce the commute time and …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 22–27 Read article
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Harnessing Artificial Intelligence for Precision Physics: A Machine Learning Framework for Data Reconstruction in Support of India's Deep-Tech Missions
Abstract: India's emergence as a global leader in deep-tech innovation is driven by ambitious scientific megaprojects, including the Laser Interferometer Gravitational-Wave Observatory (LIGO)-India, the X-ray Polarimeter Satellite (XPoSat), the Aditya-L1 solar observatory, and the National Quantum Mission (NQM). However, the unprecedented scale and complexity of the observational data generated by these missions present severe computational bottlenecks. Traditional analytical frameworks struggle with non-stationary noise transients, diffusion blurring, and the exponential scaling limits …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 48–55 Read article
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Design of Front-end for Variable-frequency Drive
Abstract: A variable-frequency drive (VFD) is a device used in electro-mechanical drive systems to regulate the speed and torque of AC motors. It consists of a rectifier, a DC link, and an inverter, which work together to convert AC power into a variable frequency and voltage AC power supplied to the motor. By providing accurate speed regulation, VFDs enable energy conservation, enhanced process management, and reduced motor wear. They are commonly …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 1, 2023 · pp. 31–35 Read article
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Role and Efficacy of Artificial Intelligence in Cyber-security
Abstract: The internet is growing and so is the cyber world, more and more people, companies, organizations and governments, etc., who were previously ignorant or just didn’t want to enter the digital world have now started to reap its benefits as technology advances and provides more solutions to the existing real-world problems. This has unfortunately also increased the number of attackers, whether they may be cybercriminals, hacktivists, sponsored attackers or an …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 1–9 Read article
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Artificial Intelligence in Speech Recogniztion
Abstract: Artificial intelligence is the science of automating intelligent behaviors currently achievable by humans. In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. The speech input facility is the most user-friendly way, adopted by development of speech recognition based on sophisticated technologies. AI is behavior of a machine, which, if performed by a human being, would …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 2, 2018 · pp. 15–18 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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Artificial Intelligence in Image Recognition: Context of Machine Vision
Abstract: The machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved. Image classification studies are another basic, most classic and essential line of research in deep learning. Computer intelligent recognition of the images technology has enabled a gradual reaction (updating) to foreign measurement trends, which promotes advancement of different areas …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article
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The Importance and Misconceptions of Artificial Intelligence in Industry and Academia
Abstract: Artificial Intelligence (AI) has been making remarkable advancements in various industries and academia. AI has been used by businesses to increase productivity, improve efficiency, and make factbased decisions. For example, AI is being used in finance for fraud detection, in healthcare for diagnosis and treatment planning, and in retail for personalized customer experiences. On the other hand, academia has been at the forefront of AI research and development, with a …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 40–44 Read article
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Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Minimising Round Road Trip Using Automated Traffic Navigation System
Abstract: The concept of traffic navigation without the reliance on conventional traffic signals is gaining prominence. This novel approach seeks to enhance urban vehicular movement by obviating the need for traditional signal systems. This summary delves into the multifaceted realm of signal-free traffic navigation, encompassing cutting-edge technologies like artificial intelligence, machine learning, and sensor arrays. The advantages, including congestion reduction, heightened fuel efficiency, and enhanced traffic fluidity, are expounded upon. Moreover, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 3, 2023 · pp. 10–14 Read article
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Intelligent Aquaculture System for Fish Disease Detection Using Machine Learning
Abstract: Aquaculture is one of the key factors for global food security, but fish diseases bring about heavy economic losses and jeopardize sustainability. One of the most important aspects of global food security is aquaculture, but fish infections endanger sustainability and cause significant financial losses. Early diagnosis is not possible since traditional disease detection techniques are laborious and necessitate expert intervention. To effectively detect fish infections, this study suggests an Intelligent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 30–37 Read article
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Intelligent Design Approaches in Microwave Engineering Using Machine Learning Techniques
Abstract: In microwave engineering, machine learning (ML) has become a potent technology allowing quicker design cycles, improved modelling accuracy, and automatic optimisation of complicated systems. Recent developments in the use of ML methods to microwave components and systems, including antennas, filters, and high-frequency circuits, are summarised in this study. In the framework of electromagnetic simulation, surrogate modelling, and parameter extraction, supervised and unsupervised learning algorithms are addressed. Moreover, the study looked …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 2, 2025 · pp. 31–38 Read article
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Maths and Artificial Intelligence: Parallel Yet Intersecting Approach in School Curriculum
Abstract: Understanding students' level of math and working with them in handling their doubts, queries, deciding how they want to approach math, not only as a subject, but a way of interpreting it, thinking, living it, in a less stressed, anxiety and unnecessary troubles around it, which are generally there. We are studying uses of Artificial Intelligence (AI) in diagnosis of current standing of level of math in students and then …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 24–30 Read article
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Artificial Intelligence-based Chatbot for Disease Prediction
Abstract: Nowadays leading a healthy lifestyle is very important. Sometimes it is even difficult to find proper medical consultation in unsocialized and remote areas. One such solution to these issues is the development of an Artificial Intelligence based Chatbot for Disease Prediction. A Chatbot is a software program that simulates human conversations, through AI’s Natural Language Processing (NLP) capability. A text-to-text chatbot for disease prediction can involve patients into an interactive …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 29–36 Read article
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The Adoption of Artificial Intelligence in Different Network Security Concepts
Abstract: The obstacles of each security system combined with the increase of cyber-attacks, negatively affect the effectiveness of network security management and rise the activities to be taken by the security staff and network administrators. So, there is a growing need for automated auditing and intelligent reporting strategies for reliable network security with as less model complexity as possible. Newly, artificial intelligence has been effectively applied to various network security issues, …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 30–43 Read article
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Intelligent Systems: A study on AI and Machine learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. Artificial Intelligence refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article