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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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Design and Fabrication of Cashew Nut Separating Machine from Cashew Fruit
Abstract: Cashew is one of the main potential fruit. Traditional method of cashew seed separation from the cashew apple is time consuming. Cashew seed separator machine was designed and fabricated to easy the work of farmer. At present, these cashew apples are either used as a fertilizer to the cashew plant or thrown away as garbage. This project aims at reducing the human labour and time involved in the traditional way. …
Published in Trends in Machine design · Vol. 6, Issue 3, 2019 · pp. 8–12 Read article
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Solar Powered Automatic Turmeric Planting Machine
Abstract: AbstractRenewable energy and farming are a winning combination. Agriculture plays an important role in the life of economy. Among various crops, turmeric plays a major role. During manual planting, the labour has to dig the soil. In current technology, semi-automatic machine is used which leads to air and noise pollution due to emission of greenhouse gases. The main intention of this project is to develop a solar powered fully automatic …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 2, 2019 · pp. 23–29 Read article
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Email Spam Classifications Based on Support Vector Machine and Recurrent Neural Network
Abstract: In recent times, e-mail has become one of the fastest and the utmost economical process of communication. Spam emails have dramatically increased over the past few years as a result of the growth in email subscribers. In this growing world, most of the transactions, business, study materials are taking place through emails. But due to the social networks and advertising, some of the emails contain undesirable information known as spam. …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 14–18 Read article
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Transforming Cancer Care Through AI-Driven Machine Learning: Real-Time Patient Monitoring and Personalized Intervention Strategies
Abstract: Modern healthcare systems are being improved by artificial intelligence (AI) and machine learning (ML), particularly in the treatment of cancer. An AI-driven machine learning system for monitoring cancer patients in real time and offering tailored therapeutic methods is presented in this research. In order to track health issues in real time, the suggested system gathers ongoing health data from wearable sensors and integrates it with patient medical records. This data …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 31–38 Read article
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Experimental and Numerical Assessment of Sustainable Machine Tool Design: A Life Cycle Perspective on Structural Optimization and Energy Performance
Abstract: Machine tools are high-mass, energy-intensive systems with long service lives, contributing significantly to the carbon footprint of manufacturing. Enhancing their sustainability requires integrated structural and energy optimization without compromising functionality, accuracy, or productivity. While sustainable design has been studied broadly, systematic reviews from an experimental and applied mechanics perspective remain limited. This paper reviews sustainable machine tool design through a life cycle lens, emphasizing mechanics-based strategies and assessment methods. Key …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 2, 2026 · pp. 13–39 Read article
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Macro- Environment Analysis of the Tourism Industry of Kashmir
Abstract: The tourism industry by default is very responsive and reactive to the external environment, and as such is affected majorly by the general environmental dimensions within which it exists. A lot of business generated by the tourism industry is because of the image it holds, and the image is largely affected by the prevailing external environment. PESTLE framework is an exclusive framework used to study the macro-environment dimensions of the …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 1, 2019 · pp. 65–76 Read article
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A Study of Various Machine Learning and Deep Learning Libraries/Platforms with Their Usage Perspective
Abstract: Learning is a complex multi-faceted phenomenon. While we do not understand how learning happens entirely, we understand it well enough to devise models that excel at narrow domain learning. Machine learning and deep learning enable us to create models that learn and implement that learning. There is an abundance of tools that achieve the same goals in different levels of abstraction, amount of work done and flexibility to tailor learning …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 1–15 Read article
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Use of Machine Learning to Identify Plant Disease: A Review
Abstract: As the population is increasing in India, there is a constant problem of food, its main reason is plant diseases. A lot of scientists are looking for new technology to solve this problem. One of the important techniques among them is machine learning. We can find plant diseases with the help of machine learning because machine learning by analysing the data (e.g., plant colour, leaf shape) finds the disease of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 39–48 Read article
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Intrusion Detection System with Machine Learning Algorithms
Abstract: Machine learning has become increasingly relevant in recent years, including in IT security. Algorithms are used to train intrusion detection systems to be able to react to new attack vectors. In this work, the basics of machine learning are explained and the results of two research projects are presented in order to investigate which algorithms are suitable for training a machine-learning intrusion detection system. In addition, the software library Scikit-Learn …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 28–37 Read article
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Inductive Turing Machines of Higher Orders: Computability, Acceptability and Decidability
Abstract: In this paper, the basic forms of information processing by inductive Turing machines of the order n are explored where n 1. It is demonstrated that different types of acceptability, recognizability, and computability of sets and formal languages by inductive Turing machines of the order n are equivalent. This allows high flexibility in modeling functioning of computers and computer networks by choosing the better suited forms of information processing. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 2, 2021 · pp. 10–26 Read article
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A Review: Identification of Credit Card Fraud Using Machine Learning and Anomaly Detection Approach’s on Imbalanced Data
Abstract: Credit cards are among the most widely used payment methods in today's culture, and online purchases have become quite popular. Credit card fraud has emerged as a problem in this industry as a direct result of its popularity. The issue of credit card fraud is becoming a global problem. Credit card fraud has increased due to the widespread use of these payment methods. Thanks to credit card use, e-commerce has …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 27–40 Read article
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Study of Machining Parameters by Pure Copper and Brass Powder Metallurgy Tool Electrode in EDM
Abstract: In manufacturing today powder metallurgy has become competitive with processes such as casting, forging and machining particularly for relatively complex parts made of high-strength and hard alloys. Recent advances in this technology now permit manufacture of structural parts of aircraft such as landing gear, engine mount supports, engine disks, impellers and engine nacelle frames to be made by powder metallurgy operation. The aim of this paper is to design an …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 6, Issue 2, 2015 · pp. 31–40 Read article
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Innovative Approaches to Improve Electrochemical Machining Performance
Abstract: New developments in material science have invented high-strength temperature-resistant (HSTR) materials with many extraordinary qualities. Now a day's these advanced and smart materials such as nickel-based super alloys, stainless steel and tool steel are the demands of automotive, aerospace, electronics, medical devices and communication industries for production of more durable and reliable products. Machining of these materials is a challenge and traditional manufacturing techniques are often found unfit for the …
Published in Journal of Aerospace Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 9–16 Read article
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Hematological and Biochemical Changes in the Freshwater Fish, Pseudetroplus Maculatus Exposed to Sublethal Concentrations of Chlorpyrifos
Abstract: Sublethal effects of chlorpyrifos on hematological and biochemical parameters were assessed in the freshwater fish, Pseudetroplus maculatus. Fish were exposed to chlorpyrifos at two sublethal concentrations, 0.661 µg/L (one-tenth of LC50—96 h) and 1.32 µg/L (one-fifth of LC50—96 h), for 15 and 30 days maintaining the control group. Blood collected from the control and treated groups were used for analyzing the hematological and biochemical parameters. Chlorpyrifos exposure significantly (P<.05) decreased …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 3, 2018 · pp. 108–116 Read article
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Effect of Processing On Bioavailability of Macronutrients and Minerals in Complementary Food Formulated From Cereals and Supplemented With Legumes
Abstract: Low bioavailability of protein and minerals in plant-based foods has contributed to malnutrition challenge confronting young humans in developing settings. Therefore, roasting, germination, fermentation and boiling were investigated as possible household processing methods that could improve bioavailability of a cereal-based complementary food supplemented with soy bean and groundnut. Standard methods were adopted in evaluating the bioavailability of these nutrients in male weaning albino rat model. The results obtained showed that …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 10, Issue 1, 2021 · pp. 7–14 Read article
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Review on Machine Learning Techniques for Heart Failure Analysis in Health Industries
Abstract: There are few bodily components as crucial as the heart. It aids in the filtration and distribution of blood to every area of a body. The world's biggest cause of death is heart disease. It has been reported that symptoms include breathing difficulties, fast heartbeat, and chest discomfort. They analyze this data on a regular basis. This review begins with a brief introduction of cardiac disease and the present methods …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 29–43 Read article
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A Comprehensive Ahp-Topsis Approach For Non-Traditional Machining Process Selection In The Manufacturing Sector
Abstract: Non-traditional machining processes (NTMPs) are being used more widely in modern industry as a result of the increased use of advanced materials in that sector. Selecting the best Non-Traditional Machining Process (NTMP) is essential to a manufacturing company's success and competitiveness. One way to think of the process of choosing the best NTMP for a given machining processes application is as a multi-criteria decision-making (MCDM) problem with a lot of …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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Agribot: Arduino controlled Automatic seed sowing machine for small scale cultivation.
Abstract: The Agribot is a robot that reduces the efforts and total cost of sowing the seeds. A seed Sowing Machine should be suitable for all farms, have robust construction, also it should be reliable, this is the basic requirement of a sowing machine. Thus, we made a seed-sowing machine that is operated manually but reduces the efforts of farmers thus increasing the efficiency of planting and also reducing the problem …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 3, 2024 · pp. 23–29 Read article
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Analysis of C45 Steel Machining with Differentiated Tool Bits
Abstract: The tool material may be coated or uncoated, and cutting inserts are typically situated along the covered contact region. Work piece remains fixed while tool revolves for cutting and machining. Objective: A NABL-accredited metallurgical evaluation laboratory (machining) assessed two specimens. Machining profile and materials determine insert selection. Analytical results show material composition. The surface qualities of samples 1 and 2 were examined. As DOC, cutting speed and tool tip temperature …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 244–252 Read article
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A Machine Learning-based Analysis of Climate Change
Abstract: Climatic variations are a pressing global challenge that demands immediate and comprehensive attention. A wealth of articles has been published on climate change mitigation and adaptation, yet there remains a need for innovative methods to explore the complexities of climatic variations and to devise more efficient and effective strategies for adjustment and alleviation. With technological advancements, machine learning (ML) and deep learning (DL) approaches have derived significant popularity across various …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 1–10 Read article