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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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Preliminary Survey & Documentation of Wetland Macrophyte Diversity from Chargaon Lake in Warora Taluka, Dist. Chandrapur Maharashtra, India
Abstract: Wetland macrophytes are most diverse group of aquatic macroscopic Angiosperms that has great ecological influence on wetland ecosystem, plays significant role in every food chain operated in aquatic ecosystem. Present study site has a total catchment area of 14.83 thousand hectors constructed in the year 1983 mainly for irrigation practices to nearby villages. The aim of present study is to conduct preliminary survey followed by proper documentation of floral diversity …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 1, 2026 · pp. 1–7 Read article
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A Survey On Leveraging Machine Learning for Phishing Attack Prediction and Detection
Abstract: Phishing is one of the biggest cybersecurity threats that exploits user trust by masquerading as a legitimate site or email to steal personal and sensitive information. A state- of-the-art-phishing detection systems survey, this review showcases the evolution from traditional list-based techniques, including blacklisting and whitelisting to machine learning and deep learning models. While list-based systems cannot evolve to detect new and zero-day attacks, the ML algorithms of Decision Tree, Random …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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Analysis of Machine Learning in Metal Processing: A Novel Prospect
Abstract: Metal is processed by a wide range of procedures, from forming and casting to machining and riveting. Metal processing is a crucial part of modern manufacturing. The application of machine learning (ML) is driving a significant change in the sector, which has historically depended on empirical knowledge and trial-and-error techniques. Increased production, improved product quality, and resource optimization are expected outcomes of this action. This study aims to explore the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 41–51 Read article
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Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification
Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article
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Machine Learning Based Sentiment Analysis of Student Feedback in Higher Education
Abstract: Educational institutions routinely collect feedback from students to understand their perceptions of academic programs, infrastructure, and campus facilities, to improve the overall quality of the college environment. In current practice, feedback is often gathered using numerical or grade-based rating systems, which tend to oversimplify student opinions and may overlook important details related to their level of satisfaction. In contrast, open-ended textual feedback allows students to clearly express their views, concerns, …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 01–10 Read article
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Macro-flow Dynamics of Wind over C H and L type Buildings
Abstract: Synoptic and downburst winds are most prevalent in the Indian subcontinent. This paper presents the analysis of the dynamics of these two winds around different buildings using numerical simulation. ANSYS CFX 18 code has been used for the simulation. To maintain accuracy in the results, the grid independence test has been considered. Three commonly used building types C, H and L have been considered for the study. For each type …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 11, Issue 3, 2021 · pp. 43–58 Read article
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Discernment of Parkinson’s disease using Machine learning
Abstract: Parkinson’s disease is one of the most common neurological disorders in the world that is caused when the cells in the brain that are responsible for the creation of dopamine breakdown and as a result less dopamine is produced .The cells in the brain that create dopamine are in charge of movement regulation, adaptability, and fluency. Since researchers believe that the disease starts developing many years before the motor (movement-related) …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 14–19 Read article
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Comprehensive Evaluation of Abrasive Water Jet Machining of Fiber Reinforced Polymers
Abstract: The machining process of Carbon Fiber Reinforced Polymers is significant and the researchers are continually working to achieve the better machining qualities. There are numerous issues with the machining abilities of traditional machining techniques for fiber reinforced polymers because of heterogeneous and anisotropic properties of FRP materials. Advanced manufacturing processes such as laser beam, ultrasonic, EDM, water jet and abrasive water jet machining are the alternatives to the conventional making …
Published in Journal of Polymer & Composites · Vol. 7, Issue 1, 2019 · pp. 7–16 Read article
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Finite Element Simulation and Experiment of Machining of Steel: A Review
Abstract: As a propelled producing innovation, which has been created quickly as of late, rapid machining is generally connected in numerous commercial enterprises. The chip arrangement amid fast machining is a convoluted material twisting and expelling process. In examination region of fast machining, the expectation of chip morphology is a hot and troublesome subject. A limited component technique in light of the product ABAQUS which includes Johnson-Cook material model and crack …
Published in Journal of Production Research & Management · Vol. 6, Issue 2, 2016 · pp. 13–19 Read article
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Multipurpose Beach Sand And Water Impurities Cleaning Machine
Abstract: In today's world, garbage is a major problem in worldwide attention. Most of the garbage is dumped in waterways in rivers, lakes, ponds which harms aquatic life and disturbs environmental balance, this garbage in turn shows at sand beaches which is cleaned manually by some organizations or else its left as it is and the garbage in the ponds is not cleaned as it is physically not approachable. For this …
Published in Recent Trends in Fluid Mechanics · Vol. 9, Issue 2, 2022 · pp. 15–20 Read article
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Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article
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Advances in Machine Design: From 3D Printing to Smart Manufacturing
Abstract: The objective is to investigate the different developments in machine design that are reshaping the manufacturing sector. The introduction of the essay discusses the development of 3D printing in machine design and how this technology is enabling more effective and economical production of machine parts. In order to increase automation and control over the manufacturing process, it then explores how smartmanufacturing and the Internet of Things (IoT) are being implemented …
Published in Trends in Machine design · Vol. 9, Issue 3, 2022 · pp. 35–39 Read article
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Analysis and Optimization of End Milling Machining Parameters for Polypropylene composite using Taguchi based GRA
Abstract: This paper offerings the effect of machining parameters on Surface roughness (Ra & Rz) and Machining time during end milling of polypropylene material on CNC milling machine at different levels. In this effort, the machining parameters namely milling speed (MS), feed (Feed) and depth of cut (DOC) were designed using Taguchi L16 experimental design matrix. The impact of all the input parameters on the response parameters (surface roughness and machining …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 91–100 Read article
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A Correlative Study of Machine Learning Algorithms
Abstract: Machine learning (ML) is the term used to define a systematic reading of algorithms and mathematical models of computer structure used to perform a specific task without precise programming. Learning algorithms in many programs we use every day. Nowadays, one of the reasons an online search engine like Google performs so effectively is because the learning algorithm has mastered the art of rating web sites. Additional uses for these algorithms …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 2, 2022 · pp. 30–35 Read article
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Comparison of Machine Learning Classification Algorithms for Prediction of Early-stage Diabetes
Abstract: Diabetes is the most widespread and gruesome disease spread all around the globe. It is a chronic metabolic disease which has mild symptoms which are hard to spot at the initial stage. It is well known that diabetes causes a high blood sugar level. This is because insulin is not able to carry sugar from your blood into your cells in order to be stored or used for energy as …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 1, 2023 · pp. 1–5 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Emerging Trends in Data Structures for Modern Machine Learning Applications
Abstract: In the realm of machine learning, data structures play a pivotal role in facilitating efficient data manipulation, storage, and retrieval, thereby significantly impacting the performance and scalability of machine learning algorithms. In recent years, the field of machine learning has witnessed the emergence of novel data structures tailored to address scalability and efficiency challenges inherent in handling large-scale and high-dimensional data. This study provides a look at the data preprocessing, …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Scaling of Machine Learning Techniques in Medical Imagining and Biomedical Applications Concerning Healthcare
Abstract: Machine learning refers to a field within computer science enabling computers to learn without explicit programming. Stemming from artificial intelligence's study of pattern recognition and computational learning theory, machine learning develops algorithms capable of learning from vast datasets and making predictions. Its applications span diverse computing tasks like email filtering, network intrusion detection, optical character recognition, and computer vision, where conventional algorithm design proves challenging. Notably, in computer vision, a …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 41–44 Read article
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A Review on Loan Approval Prediction Based on Machine Learning Techniques
Abstract: The banking industry has also benefited greatly from technological advancements. An increasing number of individuals are submitting loan applications on a daily basis. When deciding which loan applicants to approve, the bank must take certain rules into account. The bank needs to choose the best one for approval based on certain characteristics. The process of carefully verifying every person and recommending them for loan approval is laborious and fraught with …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 1–11 Read article
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Fortifying the Blockchain Fortress: A Machine Learning Paradigm for Enhanced Security
Abstract: Blockchain technology has emerged as a revolutionary tool in the digital landscape, enabling secure and transparent transactions across a decentralized network. Despite its robust security features, blockchain systems remain vulnerable to anomalies and malicious activities. The detection of these anomalies using machine learning has become essential for protecting blockchain networks and ensuring their integrity. This project delves into the application of machine learning techniques to detect abnormal patterns within blockchain …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 33–40 Read article