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1936 articles for “S-MAC” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Review on Investigating the Effect of Machining Parameters on Surface Roughness, Machining Forces and Tool Wear in Turning of AISI 4340
Abstract: 800x600 Now a day due to the advent of technology, newer materials are coming day by day in the market, due to which it is difficult for an operator to choose the proper cutting parameter for a tool-workpiece combination to get required surface finish and dimensional precision. The main problem associated with turning process is surface roughness and tool wear, which affect the quality of turned part. The main objective …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 1, 2017 · pp. 19–25 Read article
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Machining in Electrical Discharge Machining (EDM) using Graphite Electrode
Abstract: In modern industry demands of titanium alloy is increasing day by day. Because it has many several characteristics such as low thermal conductivity, low elastic modulus. Application of Titanium and its alloys now a day in different field such as aerospace industry sports car etc. Therefore, it is replacing different metal such as aluminium in many applications. It has high corrosion resistance and high strength – to – weight ratio …
Published in Journal of Aerospace Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 39–47 Read article
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Hybrid Machining Processes in Advanced Manufacturing: A Review of Mechanisms and Industrial Applications
Abstract: Hybrid machining processes (HMPs) have gained considerable attention in recent years as an effective approach to address the growing complexity and performance demands of modern manufacturing systems. These processes combine two or more machining techniques—such as mechanical, thermal, chemical, or electrical methods—into a single setup, enabling enhanced productivity, precision, and adaptability, particularly for hard-to-machine materials like ceramics, composites, and superalloys. The integration of distinct energy sources results in synergistic effects …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 19–24 Read article
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Machine Learning Classification of Normal Versus Age-Related Macular Degeneration OCT Images
Abstract: The macula is a small area of the retina which is especially very important for good eyesight. The age related macular degeneration (AMD) is a type of visual impairment that can cause central vision blur or even loss of visionblindness or even loss of eyesight. AMD was a dangerous and progressing chronic disease which affects people over the age of 60. One of the most common symptoms of this condition …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 3, 2022 · pp. 1–8 Read article
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Periodic Turing Machines
Abstract: AbstractIt is proved that in comparison with Turing machines, inductive Turing machines represent the next step in the development of computer science providing better models for contemporary computers and computer networks. In particular, it is proved that simple inductive Turing machines can solve the Halting Problem for Turing machines, while inductive Turing machines of higher orders can generate and decide the whole arithmetical hierarchy. It means that inductive Turing machines …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 3, 2014 · pp. 6–18 Read article
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Support Vector Machine Based Supervised Machine Learning Algorithm for Finding ROC and LDA Region
Abstract: Breast Cancer is one of the most dangerous forms of conditions in the world, according to the Breast Cancer Institute (BCI). Breast cancer is a leading cause of death for women. Several empirical studies have explored the use of machine and predictive systems for breast cancer. Breast cancer can be the major cause of women’s death. Many claim their algorithms are faster, easier or more precise, as according to cancer. …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 1, 2020 · pp. 26–33 Read article
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Working Principles and Performance Analysis of IEEE 802.11 and Sensor S-MAC
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices which use large amount of energy, consuming battery-powered sensors to monitor physical or environmental conditions. Medium access control (MAC) protocols play a big role to reduce energy consumption in WSN. Designing power-efficient MAC protocol prolongs the life time of the network, can consume little power, and avoid …
Published in Current Trends in Information Technology · Vol. 5, Issue 3, 2015 · pp. 39–47 Read article
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Adversarial Attacks on Machine Learning Models in Cybersecurity: A Systematic Literature Review
Abstract: Adversarial machine learning (AML) is a field that is growing swiftly, especially as machine learning models are employed more and more in places where security is critical. This review goes into great depth over 746 publications from the Scopus database, with an emphasis on the connection between AML and network security. Using Biblioshiny and Scopus tools, we looked at trends in publications, study fields, productive authors, collaboration networks, and theme …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 23–38 Read article
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Variations of Macroplastics in Water and Sediments at Bundu Waterfront, Upper Bonny Estuary, Rivers State, Nigeria
Abstract: Macroplastic pollution has become an increasingly severe environmental challenge, particularly in urban waterfronts where waste management is inadequate. Bundu Waterfront of the Upper Bonny Estuary in Port Harcourt, Rivers State is a sink for macroplatics from careless disposal of solid wastes and inadequate management thus affecting the biological integrity and aquatic life of this estuary. The resultant impact of the macroplastics on abiotic factors through the evaluation of different floating …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 12–22 Read article
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Conversion of Textile Waste Yarns to Candle Product by Designing Simple Candle Producing Machine
Abstract: During the production of yarn in textile industry, there is high waste generation due to different reasons. These wastes are used for the production of candle and tapper product. In order to be competitive with companies performing similar operation, it requires changing this waste into some product. Since there is no other sector, which produces candle from waste yarn in Ethiopia, and candles are currently imported, which increases the product …
Published in Journal of Production Research & Management · Vol. 9, Issue 3, 2019 · pp. 9–14 Read article
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Advanced Jig Saw Machine
Abstract: As we have selected “The Advanced Jig Saw Machine” as a project work, it has helped us to understand the wood cut working, by all of the view like about its working capacity, the product which will it produce, what will be the difficulties in working of the machine, kind of safe working, working reliability, number of operations that can be performed with this machine etc. A Jig saw is …
Published in Trends in Machine design · Vol. 7, Issue 2, 2020 · pp. 17–21 Read article
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Implementation of Optical XOR Gate and Gray to Binary Code Converter Using Mach-Zehnder Interferometer
Abstract: AbstractWith the progress in optical communication system, optical networks are demanding of all optical devices to improve the speed, power and to reduce the attenuation during transmission of signals. In this paper, execution of gray to binary code converter with the aid of semiconductor optical amplifier (SOA) based Mach-Zehnder interferometer (MZI) is proposed, with the help of all-optical XOR logic gate, which is also demonstrated by using SOA-MZI, where CW …
Published in Trends in Opto-electro & Optical Communication · Vol. 7, Issue 1, 2017 · pp. 1–5 Read article
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Enhancing Explainability in Machine Learning Based Spam Email Detection Using LIME and SHAP
Abstract: Spam emails represent a continual and irritating cybersecurity issue due to the fast expansion of cyberspace communication. These messages are unwanted and, in some cases, dangerous, such as phishing schemes, identity theft, and the propagation of malware. They cause severe financial and data security threats to individuals and organizations. Conventional spam detection techniques, such as rule-based spamming, blacklisting, and keyword classification, are techniques that find it difficult to match adaptive …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 35–48 Read article
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Machine-Driven Network Administration Tool (MNAT)
Abstract: AbstractMachine-driven network administration tool (MNAT) is MN innovative tool for managing the network mechanically and death penalty, the commands on the entry machines and limiting access to server machines on the network for various users within the network. Nowadays, there are units of several tools obtainable for network watching and management. However, ANAT provides a singular approach of managing the network, that is, automatic network management supporting the three main …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 4, Issue 1, 2017 · pp. 13–15 Read article
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Enhancing Online Security: Machine Learning Methods for Phishing Detection—Literature Survey
Abstract: Phishing attacks represent a substantial online security threat as they mimic authentic websites to trick users into disclosing sensitive information. Detecting these malicious websites is crucial for safeguarding user data and maintaining digital trust. This summary provides insight into the application of machine learning methods in the identification of phishing websites. Machine learning, which falls under the umbrella of artificial intelligence, has proven to be a robust instrument for automating …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 29–34 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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Electrical Discharge Machining for Precision Metal Working Industries
Abstract: EDM is called as Electrical Discharge Machining. Otherwise called as Spark Erosion Machining, Electro-Erosion Machining, Spark Machining, and Electro Discharge Machining. It is an unconventional machining process to machine hard metals and alloys. EDM has been a significant machining technique. The electrode, work piece materials, dielectric, and the range of pulse rate, current, and voltage make up the basic EDM process. The dielectric serves the following purposes: it transports removal …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 1, Issue 2, 2023 · pp. 7–11 Read article
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Integration of Taguchi and MCDM Techniques for the Optimization of Experimental Parameters in Electrical Discharge Machining: A Research
Abstract: Electric discharge machining (EDM) represents a non-conventional approach to machining, particularly beneficial for processing hard-to-machine materials or components with high length-to-diameter ratios or intricate shapes. Widely employed across various industries such as automotive, chemical, aerospace, biomedical, and tool and die, EDM offers a unique method for achieving precise shapes and dimensions. Unlike traditional machining methods where form is attained through the interaction of the tool and workpiece, EDM operates without …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 6–14 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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Integration of Taguchi and MCDM Techniques for the Optimization of Experimental Parameters in Electrical Discharge Machining: A Research
Abstract: Electric discharge machining (EDM) represents a non-conventional approach to machining, particularly beneficial for processing hard-to-machine materials or components with high length-to-diameter ratios or intricate shapes. Widely employed across various industries such as automotive, chemical, aerospace, biomedical, and tool and die, EDM offers a unique method for achieving precise shapes and dimensions. Unlike traditional machining methods where form is attained through the interaction of the tool and workpiece, EDM operates without …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 6–14 Read article