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443 articles for “Automated tools”
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The Role of SCADA in Detecting Electric Faults in the Wind Turbine System: A Review
Abstract: A wind turbine is a machine which utilizes the kinetic energy of air to convert it into rotational energy. To generate the electricity, this rotational energy is transferred to the generator shaft. Whenever a fault occurs in the wind energy system, it decreases the system efficiency. During such abnormal conditions in a wind turbine system, the faults are detected through manual and/or automated system namely, SCADA. The control functions of …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 1, 2023 · pp. 16–24 Read article
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A Study on Smart Healthcare Innovations
Abstract: The desire for effective, patient-centred solutions and the rapid growth of technology are driving forces in the healthcare industry. The term "smart healthcare innovation" refers to a broad category of approaches, tools, and procedures that are intended to improve patient outcomes, optimize resource use, and enhance overall healthcare delivery. These innovations integrate cutting-edge technologies such as artificial intelligence (AI), the Internet of Things (IoT), wearable devices, big data analytics, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 63–68 Read article
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Experimental Investigations of EDM Parameters on Machining Square Blind Holes in Maraging Steels
Abstract: Square blind holes have certain qualities that make them useful in fields where accuracy and efficiency are crucial, like aerospace, automotive, molding, and general manufacturing industries where structural integration is required in precise assembly. It is challenging to machine square blind holes with traditional machining due to geometrical complexity as precision is required for sharp corners which is difficult to get at the corners due to tool wear. Electrical discharge …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 390–397 Read article
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The Integration of Machine Learning in VLSI IC Design
Abstract: It represents the first use of AI in the domain of integrating circuits, which has been impacted by it. The conventional VLSI design process that is now in use is replaced by this technology. The laborious manual concepts created by people have been replaced with automated design innovations. This development would trigger a profound change in the fields of AI education and hardware computation. With the introduction of contemporary chips, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Evaluating Delay Impacts: From Root Cause Analysis to Dispute Resolution
Abstract: Construction projects inherently involve complex coordination among multiple stakeholders, interdependent tasks, and unpredictable external challenges, which frequently cause schedule overruns and disputes. Traditional contractual mechanisms—such as extensions of time (EoT), liquidated damages, and force majeure clauses—serve to define responsibilities, allocate risk, and establish formal dispute pathways when delays arise. For example, EoT provisions protect contractors from penalties when delays are beyond their control, provided proper notice and evidence are submitted …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 11–25 Read article
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Scientific Paper Reviews Identification by Sentiment Analysis in Data Mining
Abstract: AbstractSentiment analysis (SA) is one of the rapidly growing fields of research in computer science and makes it difficult to track all activities in the area. Analyzes of thoughts and/or perceptions are used for automating subjective information identification such as opinions, attitudes, emotions, and feelings. Hundreds of thousands are concerned about science and take a long time to select appropriate papers for their research. These opinions are numerous and SA …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 3, 2020 · pp. 1–9 Read article
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Parametric Optimization of boring process by alternate tooling head to improve productivity of GG25 cylinder liner using response surface methodology
Abstract: The manufacturing process are the heart of any industries. The process are getting renewed day by day to achieve a simple goal of efficiency. The paper states about the one of manufacturing process namely boring operation in material removal process and its optimization to increase the production on going in the industry. The boring process is used in here to enlarge the bore of cylinder liner which are also precision …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 27–30 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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Retinal Disease Detection Using Deep CNN
Abstract: Age-related macular degeneration, glaucoma, and diabetic retinopathy are the three main causes of blindness in the globe. To avoid visual loss, early identification and treatment of these disorders are essential. The goal of this research is to create an automated method for detecting retinal diseases by analyzing retinal fundus pictures with machine learning techniques. Python and the Tkinter package for the graphical user interface are used in the construction of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 46–50 Read article
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Social Media Blog Analysis using Watson Analytics
Abstract: AbstractAnalytics is defined as the discovery, interpretation, and communication of meaningful patterns in data. A blog is a discussion or informational website published on the world wide web consisting of discrete, often informal diary-style text entries and may contain unstructured or semi-structured data. The analysis of unstructured data types is current challenge, getting attention in industry. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization and information privacy. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 3, 2016 · pp. 15–21 Read article
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An Effectual Analysis of Agribot Technology and Implementation in Global Perspectives for Energy Saving
Abstract: AbstractThe classical agricultural natural process requires huge manual try and dispatch on farm subject field which can be replaced using mechanization or smart farming. Agribot is the excellent example of computerized or smart effectuation of the agricultural devices which can oeuvre in autonomous trend with live monitoring from a remote mastery locating. This manuscript contains an automaton robot to carry out various applications because automaton is a mechanical, artificial cistron …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 2, 2018 · pp. 20–32 Read article
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Remote Healthcare Diabetic Retinopathy Detection Using Deep Learning
Abstract: High blood glucose levels are a hallmark of diabetes mellitus (DM), a metabolic disease. This can give rise to a range of complications, with Diabetic Retinopathy (DR) being among them. DR can impair vision and, if not addressed, may lead to a loss of eyesight. Symptoms include aberrant blood vessels, fluid leaks, exudates, haemorrhages, and retinal microaneurysms. With the advancement of technology, medical imaging has become one of the most …
Published in Journal of Open Source Developments · Vol. 10, Issue 2, 2023 · pp. 42–47 Read article
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Opinions mining of Twitter events using spatial-temporal features
Abstract: Micro-blogs are a powerful tool to express an opinion. Twitter is one of the fastest growing micro-blog and has more than 900 million users. Twitter is a rich source of opinion as users share their daily experience of life and respond to specific events using tweets on twitter. In this paper, an automatic opinion classifier capable of automatically classify tweets into different opinion expressed by them is developed. Also manually …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 36–44 Read article
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Study of Finite State Machines as Language Recognizer
Abstract: Finite State Machines (FSMs) play a fundamental role in computer science and linguistics as language recognizers. This study presents an exploration of the principles and applications of FSMs as efficient tools for recognizing formal languages. The study delves into the theoretical foundations of FSMs and their practical implementation in various language recognition tasks. The fundamental ideas of FSMs, including as states, transitions, and input symbols, are introduced in this study. …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 18–24 Read article
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Motorised Dual Side Shaping Machine with IoT Integration
Abstract: This work presents the design, fabrication and testing of a Motorised Dual Side Shaping Machine intended for small-scale workshops and educational laboratories, enhanced by an Internet of Things IoT based motor control system using the ESP32 microcontroller. The machine employs a 250 watt geared motor as the prime mover, transmitting power through a chain and sprocket mechanism to a 20 mm mild steel shaft supported on pedestal bearings (P204), where …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 26–35 Read article
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Experimental Investigation on Mechanical Characterization of Electrodeposited Shot Peened Copper Coated and Un-Coated Mild Steel
Abstract: The fatigue strength of fabricated copper coating on mild steel specimens under repeated loading and the overall number of cycles to failure has been investigated. The specimens of copper coating on mild steel substrate are fabricated by using an electro deposition shot peening method. The hardness behaviour of fabricated specimens studied and the experimental work has been carried out by using Vickers Micro Hardness under the load of 20N force. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 279–288 Read article
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CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article
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Artificial Intelligence in Education: Empowerment or Cognitive Dependency? A Critical Analysis
Abstract: Artificial Intelligence (AI) has become an important part of modern education, changing how students learn, practice, and complete academic tasks. AI-based tools such as intelligent tutoring systems and generative models improve personalization, speed, and accessibility of learning. However, growing concerns suggest that excessive dependence on AI may reduce deep cognitive engagement and critical thinking. This paper critically examines whether AI acts as a tool for academic empowerment or leads to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Novel Catalytic Strategies for Reducing Residual Stresses and Improving Surface Quality in Machined Ceramic Materials
Abstract: To prepare for material cutting and utilize utility-specific edges, it’s crucial to understand the inherent brittleness of ceramics. This brittleness limits the forming methods available and hinders achieving dimensional accuracy and precision through conventional machining techniques. The fabrication of composite materials is becoming increasingly significant, particularly in technical fields like the automotive industry, where they are used to manufacture engine connecting rods, propeller shafts, brake discs, and more. The machining …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 2, 2024 · pp. 01–07 Read article
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Navigating the Command Line: Unveiling the Significance of Shell Commands and Simple Programming in Modern Computing
Abstract: Shell commands are fundamental tools for interacting with operating systems and executing various tasks efficiently. This research article delves into the crucial significance of shell commands and basic programming in today’s computing environments. It delves into the foundational concepts that make command-line interfaces and scripting crucial components of modern computing. The study highlights the efficiency, flexibility, and automation capabilities offered by shell commands and programming scripts through real-world examples demonstrating …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 3, 2023 · pp. 1–8 Read article