Search
1936 articles for “S-MAC” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 46–53 Read article
-
Machine Learning Based Approaches for the Detection and Classification of Crop Leaf Diseases
Abstract: Crop leaf diseases pose a significant threat to agricultural productivity worldwide, leading to substantial crop losses and economic consequences. Timely and precise identification and categorization of these diseases are vital for effective disease management and safeguarding crops. Over the past years, machine learning methods have gained prominence due to their potential to automate disease diagnosis and classification procedures. This review paper presents an overview of the various machine learning based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 31–38 Read article
-
Massive Data Capturing and Transmission using Big Data Analytics Model with Machine Learning Prediction
Abstract: Deep learning techniques are widely used in many branches of research and engineering, including language processing, image classification, and speech recognition. Similar to this, processing vast amounts of data is restricted by a number of classical data processing approaches. To deal with information progressively with incredible exactness and effectiveness, huge information investigation requests spic and span, complex calculations in light of machine and profound learning methods. Recent research has, however, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 3, 2022 · pp. 23–30 Read article
-
A Comparative Analysis Macro-site Selection of Wind and Solar Using VIKOR Method
Abstract: Currently, wind and solar power generation systems have many drawbacks. Wind and solar power generation Full use of new energy will break the barrier to growth. Location for wind/solar hybrid power plant the primary problem is how to choose scientifically. This article selects six wind/solar hybrid power plants and implements them as a case study and evaluates these six areas via VIKOR by weighting the indicators through the MCDM method. …
Published in Journal of Remote Sensing & GIS · Vol. 13, Issue 3, 2022 · pp. 21–28 Read article
-
Using Machine Learning to Analyse Football Teams and Predict the Outcome of a Football Match
Abstract: Football, as one of the most popular sports on the planet, has always attracted a large number of fans. Over 150 million men and women of all ages play it in over 200 countries. Modern football has seen a paradigm shift from being just one of the most physical sports to now being one of the most complex sports due to the involvement of multiple new factors such as Home …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 4, 2022 · pp. 30–40 Read article
-
An Evaluation of Versatile CNC Machines for Tabletop Applications
Abstract: The tabletop CNC provides a comprehensive analysis of computer numerical control (CNC) machines tailored for tabletop use. In today's rapidly evolving manufacturing landscape, compact and adaptable CNC systems have gained prominence due to their potential to revolutionize small-scale production and prototyping. This research examines a range of versatile CNC machines, assessing their capabilities, precision, ease of use, and suitability for various tabletop applications. By exploring key factors such as size, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 88–104 Read article
-
Designing a Sustainable Pedal-Powered Washing Machine for Rural Areas
Abstract: The ingenuity can be found in its simple construction, sparse use of pricey components, extremely low upkeep and repair costs, accessibility to all segments of society, and lack of environmental impact. According to the environmental issue, it is essential to use energy in alternative ways in order to conserve it. The PPWM additionally conserves time, water in a container and power while being reasonably priced. The leg-powered washing machine (PPWM) …
Published in International Journal of Manufacturing and Production Engineering · Vol. 1, Issue 1, 2023 · pp. 20–25 Read article
-
Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
-
Machine Learning Approaches for Phishing Detection: A Comparative Study
Abstract: These days, everyone has an internet addiction. All of us have used the internet for banking, booking, recharging, and buying. Phishing is a type of website threat that exists online. On the original website, phishing is an attempt to illegally obtain information such as login ID, password and credit card information. In this research, we proposed an efficient phishing detection system based on machine learning. Overall, the experimental findings demonstrated …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 35–45 Read article
-
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
-
Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
-
Nanoparticle Chemistry: The Synthesis, Properties and Applications of Polymer and Macromolecule-Based Nanoparticles and Their Composites
Abstract: Nanoparticles have arisen as a transformative branch of materials in chemistry, owing to their unique physicochemical and biological properties that vary from their bulk materials. Various synthesis techniques, including physical (e.g., laser ablation), chemical (e.g., sol-gel, co-precipitation) and biological (e.g., microbial or plant-mediated) approaches, offer control over particle size, shape and surface characteristics. These methods influence the optical, electronic, catalytic and mechanical properties of nanoparticles. Nanoparticles can exhibit high surface …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1236–1247 Read article
-
Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 1–8 Read article
-
Experimental Investigation on Machining Characteristics of EN19 Alloy Steel Using CNC Vertical Machining Center
Abstract: In this research work, the detailed experimentation investigation was performed for EN19 steel using milling process on CNC VMC. The experimentation strategy has been planned using Taguchi’s L9 orthogonal array, consisting of three process parameters such as cutting speed, feed rate and depth of cut on material removal rate (MRR) and surface roughness (SR). Two different types of end mill cutters (solid carbide and titanium nitride coated carbide end mill) …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 91–101 Read article
-
Design and Fabrication of Rice Seedling Plantation Machine
Abstract: India is agrarian country. Indian economy based on the agricultural field. It is the most important source of employment for the majority of the workforce in the country. About 70% of Indian workforce is engaged with the agricultural field for their livelihood. Among that India is a world highest percent to produce rice, accounting for 20% of all world Rice production. Rice is a more stable food in country. Develop …
Published in Journal of Experimental & Applied Mechanics · Vol. 11, Issue 2, 2020 · pp. 23–29 Read article
-
Analysis of Machining Parameters in Wire EDM with Aluminum Alloy Using PCA and TOPSIS Approach
Abstract: Although the efficiency of traditional cutting processes is inadequate by the mechanical properties of the processed material and the intricacy of the work piece geometry, electrical discharge machining (EDM) being a thermal erosion process, is subject to no such limitations. This paper summaries the suitable use of Taguchi’s L27 orthogonal array which takes 27 experimental runs to develop a mathematical model for correlating the interactive and higher order impacts of …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 2, 2017 · pp. 1–11 Read article
-
Evaluation of Optimal Parameters for Wire EDM Machine on En45A Alloy Steel using Taguchi and Grey Relational Analysis (GRA) Method
Abstract: The core goal of this research paper is to evaluate process parameters of wire electrical discharging machining and to find out the best parameter among the multiple responses given by machine. Wire cut machine is very accurate and precise machine which is actually manufactured to cut those material which have high strength, toughness, and hardness. This machine works on melting property; here spark is generated between the work piece and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 1, 2016 · pp. 11–21 Read article
-
Latest Research Trend of Optimization Techniques and Considerable Parameters in Wire Electrical Discharge Machining (WEDM): Review Article
Abstract: Wire electrical discharge machining (WEDM) is a non-conventional machining method with unique capabilities. WEDM offers a better alternative or sometimes the only alternative to produce complex shaped features and components of difficult-to-machine materials. In today’s highly competitive manufacturing industries, manufacturer’s ultimate goal is to produce high quality product with less time and cost constraint. To achieve these goals, one of the considerations is by optimizing the machining process parameters such …
Published in Journal of Production Research & Management · Vol. 6, Issue 2, 2016 · pp. 30–53 Read article
-
Design and Development Pneumatic Operated Washer Making Machine
Abstract: This research article presents the advanced method design and development of pneumatic operated washer making machine. The pneumatic system has gained a large amount of importance in last few decades. This project work mainly includes the main components of designs of pneumatic operated washer making machine such as: design of cylinder, selection of direction control valve, and selection of tube, design of aluminum sheet, plastic sheet, tar felt sheet and …
Published in Trends in Machine design · Vol. 4, Issue 3, 2017 · pp. 12–20 Read article
-
Using Machine Learning to Analyze Football Teams and Predict the Outcome of a Football Match
Abstract: Football, as one of the most popular sports on the planet, has always attracted a large number of fans. Over 150 million men and women of all ages play it in over 200 countries. Modern football has seen a paradigm shift from being just one of the most physical sports to now being one of the most complex sports due to the involvement of multiple new factors such as home …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 31–41 Read article