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238 articles for “Machine learning”
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Impact of AI in HRM Practicing Job Satisfaction in Any other Hospital
Abstract: Artificial Intelligence (AI) is becoming more prevalent in organizations, presenting both opportunities and challenges for Human Resource Management (HRM). The integration of AI in HRM reflects the dual potential for advancement and complexities within organizational dynamics. Striking a balance in leveraging AI's benefits while addressing its challenges is crucial for effective HRM. In the medical field, Artificial Intelligence (AI) in hospitals involves the application of advanced computational algorithms and machine …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 2, 2023 · pp. 18–26 Read article
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Challenges and Requirements in Internet of Things
Abstract: The Internet of Things (IoT) serves as a technical tool for experts by transforming physical resources into smart entities using existing network infrastructures. Its main goal is to provide intelligent and seamless services to users without any downtime. The Internet of Things (IoT) paradigm aims to create an advanced data system by combining sensor data collecting with efficient data processing, networking, machine learning, artificial intelligence, big data, and clouds are …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 6–11 Read article
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Depression Detection System
Abstract: Traditionally, depression was identified through in-depth clinical interviews, during which the psychologist would analyze the subject’s responses to ascertain his or her mental condition. With the prevalence of depression increasing, some automated and trustworthy methods of depression recognition are needed. Our Objective it to design a model that can extract relevant features automatically as an input using efficient machine learning algorithms and further detect the depressive state of the user …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 28–37 Read article
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Harnessing the Potential of Chat Generative Pre-trained Transformers for Enhanced Dialogue Systems
Abstract: Artificial intelligence (AI) and machine learning have changed the scientific research scene in the last few years. Among these, chatbot technology has advanced significantly in recent years, particularly with the emergence of ChatGPT as a prominent artificial intelligence language model. This in-depth analysis explores ChatGPT's history, uses, main obstacles, and potential future developments. We start by looking at its inception, advancement, and underlying technology. Then, we look at its many …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 2, 2023 · pp. 7–11 Read article
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A Review Paper on The Smart Grocery Management System for Household Kitchen Using Raspberry PI
Abstract: The rise of the term Smart Homes in recent years is due to the possibility of applying Internet of Things (IOT) for the home automation. Brilliant basic food item framework is a sharp and better approach for shopping for food that help us and re-characterizes the demeanor towards shopping for food. For a larger than average scope of different heterogeneous end frameworks, the web of Things (IOT) and Machine Learning …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 16–23 Read article
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Future Trends in Web Analytics: A Comprehensive Review
Abstract: This review paper explores future trends in web analytics, focusing on their impact on business and technological advancements. The paper discusses critical areas such as advanced data analytics, mobile analytics, offline and online data integration, privacy protection, and data visualisation. Drawing upon scientific literature, the paper highlights the significance of artificial intelligence, machine learning, and sentiment analysis in deepening data insights. Integrating offline and online data and the growing importance …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 12–17 Read article
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Melanoma’s Nemesis: Assessing the Pharmacological Impact of Curcumin and its Analogues as Inhibitors of Identified Biomarkers Via Network Pharmacology
Abstract: Objectives: Since the advent of next-generation sequencing, melanoma has been recognized as an immensely heterogeneous disease, leading to the discovery of numerous underlying genetic drivers over time. Bioinformatic and machine learning analyses have become increasingly prevalent in risk stratifying melanoma patients with high accuracy, leveraging genetic, clinical, and histopathological inputs. Via various research curcumin has been identified and also shown therapeutic efficacy in Melanoma. In order to reveal the interactions …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 1, 2023 · pp. 33–44 Read article
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Advancements in Computational Methods for Solving Structural Dynamics Problems
Abstract: Significant difficulties come with structural dynamics problems in a variety of engineering fields, such as mechanical, aerospace, and civil. The need for dependable, precise, and economical computational techniques to handle these problems has fueled ongoing progress in the area. This paper highlights the benefits, drawbacks, and uses of recent improvements in computational techniques for tackling structural dynamics issues. We talk about meshless methods, finite element methods (FEM), boundary element methods …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 9, Issue 2, 2023 · pp. 15–19 Read article
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The Foundations and Principles of Computational Intelligence
Abstract: Artificial intelligence (AI) assumes a driving part in security administrations. A dynamic model Intelligent Intrusion Detection System (IIDS), in view of particular AI approach for intrusion detection. The strategies that are being explored incorporate neural networks and fuzzy logic with network profiling that uses basic data mining procedures to handle the network data. Suspicious interruptions can be followed back to its unique source way and any traffic from that specific …
Published in International Journal of Analog Integrated Circuits · Vol. 1, Issue 2, 2015 · pp. 17–33 Read article
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Artificial Intelligence in Cardiac Care
Abstract: Artificial intelligence (AI) is showed by artificial entity, a system is generally assumed to be a computer. AI systems are now in routine use in all disciplinary. It is also applied to any machine that exhibits traits associated with a human mind such as learning and problem solving. AI is the center to build computational models of intelligence. It is the stimulation of human intelligence by machines. It is probably …
Published in International Journal of Cardiovascular Nursing · Vol. 7, Issue 1, 2021 · pp. 17–19 Read article
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Knowing Captchas Using Deep Learning
Abstract: Websites can use CAPTCHA (Completely Automated Public Turing Test to Differentiate Computers from Humans) to distinguish between humans and machines and prevent automated attacks by programmers and malicious programmers. Studies on CAPTCHA recognition have the potential to uncover security flaws, advance CAPTCHA technology, and even advance handwriting and license plate recognition. However, the whole objective of the CAPTCHAs can be bypassed by utilizing the principles of deep learning and computer …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 30–40 Read article
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Adaptive Production Scheduling in Multi-Machine Manufacturing Environments
Abstract: For manufacturing processes to meet evolving market demands, they must be executed in the most efficient manner while maintaining flexibility against unanticipated disruptions. Often, traditional scheduling methods overlook dynamic variability and real-time interruptions. An inverse scheduling framework for a multi-machine flowshop system is proposed in this research with the primary objective of makespan minimisation. Several issue situations are analysed to validate the algorithmic efficacy, and metaheuristic techniques are used to …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article
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Modeling of Material Removal Rate in Micro EDM Using Neural Network
Abstract: In micro-electrical discharge machining (Micro EDM) machining, material removal rate (MRR) is the particular main output parameter. Here we will discover various machining parameters get an effect on the particular MRR. For production industries, to maximize the results from Micro EDM, appropriate predictive designs for MRR must end up being constructed. This particular report utilizes neural network modeling to predict MRR over the particular machining time for assortment of cutting …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 4, Issue 1, 2018 · pp. 30–39 Read article
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Privacy Policy Summarization and Detection of Unfair Clauses
Abstract: ABSTRACTLess than 1% of all users read the privacy policies (or terms and conditions) that accompany software products. This can be attributed to their low level of readability, length, and complexity. Hence, this allows corporations to sneak in clauses which may compromise a user’s privacy, allowing them to use their data for monetary benefit. For example, corporations may sell user data to third parties for targeted advertising. To tackle this, …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 35–41 Read article
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A Comprehensive Review of Convolutional Neural Network Architectures and Evolution
Abstract: Convolutional Neural Networks (CNNs) have become a foundational deep learning framework in computer vision because they can automatically extract layered, increasingly complex features directly from raw image data. CNNs use convolutional, pooling, and activation layers to extract spatial patterns from basic edges to intricate object components, drawing inspiration from the human visual cortex. An overview of CNNs’ basic architecture is given in this study, along with an explanation of important …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 32–40 Read article
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Satellite Image Classification using Deep Learning
Abstract: Satellite imagery is essential for lots of applications along with catastrophe response, regulation enforcement, and monitoring an environment. These packages require the guide identity of objects and facilities in imagery. Because the geographical areas to be protected are large and the analysts needed to do the searches are scarce, automation is required. Yet traditional item detection and category algorithms are too inaccurate and unreliable to clear up the problem. Deep …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 29–36 Read article
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A Review on Blue Brain
Abstract: With the headway in innovation, human, a definitive wellspring of data and disclosure ought to likewise be saved. As it were, human does not live for a large number of years but rather the data in his mind could be spared and utilized for a few a great many years. The innovation accommodating in this action is Blue Brain. Today researchers are in examination to make a counterfeit cerebrum that …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 1, Issue 2, 2015 · pp. 21–26 Read article
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Revolutionizing Healthcare: The AI-Driven Transformation
Abstract: Artificial Intelligence (AI) is the use of machines, especially computers, to act intelligently without much human interference. AI is basically accepted as coming into existence with the development of robots. The term robot derives from the word robata, that means use of biosynthetic machines as forced labor. Now a days, AI is spreading its arms in the medical field by use of robotic-assisted surgery, for complex urologic and gynecologic procedures. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article