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686 articles for “machining efficiency”
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Crop Yield Prediction Using Machine Learning Algorithm Based on Climate Variables
Abstract: India's economy is based primarily on agriculture, as over 50% of the country's population depends on it for their livelihood. The long-term viability of agriculture is seriously threatened by variations in the weather, climate, and other environmental factors. Because machine learning provides tools for decision assistance in agricultural yield prediction, including guidance on which crops to plant and when to plant them during the growing season, it is essential to …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 49–52 Read article
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Sensors-Based Electric Machine Design for Industry
Abstract: The integration of advanced sensors is fundamentally changing the economics and reliability of electric machines. It moves design focus from minimizing material cost and adhering to conservative standards toward maximizing operational availability and energy efficiency. In the industry of tomorrow, the electric motor will not be a passive collection of coils and steel, but a self-diagnosing, self-optimizing, and perhaps even self-healing asset—a sentient motor—driven by its highly refined sixth sense, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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An Adaptive and Privacy-Aware Federated Learning Framework for Efficient and Secure Model Training Across Heterogeneous Datasets
Abstract: The problem of efficiency and privacy regarding heterogeneous data in modern distributed machine learning systems is a vital point that should be taken into account. The absence of IID data distribution, client heterogeneity, and privacy invasion during the aggregation model are the bane of conventional federated learning (FL) approaches to learning like FedAvg and FedProx. The paper proposes that the adaptive and privacy-aware FL framework (AFL-P) can be used to …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 16–25 Read article
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Coastal Steward: Developing an Ultra-Efficient Beach Cleaning Device
Abstract: Car Our project's goal is to create a beach cleaning machine that is both economical and effective in order to lower the expenses and labor involved in using conventional beach cleaning techniques. Our device is easy to transport and operate because it can fit in a car's trunk. Ecofriendliness has been given top priority, and we have made sure that replacement parts are available locally. Our inspiration for this project …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 3, 2023 · pp. 44–48 Read article
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Performance Analysis of Machine Learning Algorithms For Disease Prediction
Abstract: In this 21st century, where Digitization makes humans measure, record, analyze and to manipulate the huge amount of data as per the requirement, prediction of the decease based on Machine Learning models will be representing one of the good applications of the efficient data handling. An Automatic Decease Prediction system based on the symptoms would be the great boon for the medical practitioners. The Supervised Machine Learning models, such as …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 9–18 Read article
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A Review Article on the Future of Construction: Exploring the Rise of Electric Earthmovers
Abstract: The development of the nation's infrastructure is crucial to its overall progress. India is regarded as the center of the service sector, which depends heavily on the development of its infrastructure. The use of electric earthmovers is propelling a revolutionary change in the building sector towards environmental sustainability. These heavy machines, traditionally powered by diesel, are now evolving into cleaner, quieter, and more efficient alternatives powered by electricity and being …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 1–9 Read article
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A Study of Virtual Machines Environment in Cloud Computing
Abstract: The Cloud computing is most widely used technological concept which gives the efficient result in concern to availability and utilizing of resources, processing and management of the data on servers. These capabilities make cloud computing to decorate the programs of it. The concept of virtualization of cloud computing is main feature of this technology which provide a platform to many business application data, academic IT tools and industry to explore …
Published in Recent Trends in Parallel Computing Read article
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Optimization of Robotic Path Planning Algorithms for Autonomous Material Handling Systems
Abstract: For autonomous systems for handling materials (AMHS) to operate as efficiently as possible in industrial and logistical settings, robotic route planning is essential. This study examines many robotic route planning algorithms, emphasizing their use, ways of optimization, and difficulties in material handling systems. To improve the effectiveness, precision, and computational viability of these algorithms, the study also examines a number of optimization strategies, including machine learning, parallelization, heuristic search, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 15–20 Read article
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Development and Performance Evaluation of a Multi-Purpose Power Tiller for Small-Scale Farming Applications
Abstract: This project outlines the development and testing of a multi-purpose power tiller tailored for small-scale farmers. Designed to reduce labor and enhance productivity, the machine integrates features for ploughing, seedbed preparation, and lightweight transportation. Key parameters including depth of tillage, working width, and fuel consumption were evaluated during field trials and benchmarked against manual operations. Results highlight its efficiency and potential for improving rural agricultural practices. Along with its primary …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 14–19 Read article
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Unveiling Patterns in Complexity: The Role of Simple Statistics and Fuzzy Mathematics in Data Analysis
Abstract: In this study, statistical methods must be integrated with fuzzy mathematics to solve complex data. Statistical methods offer clear, unbiased, and computationally feasible tools for analysing numerical data. whereas fuzzy mathematics excels in describing the vagueness and ambiguity of human feeling by way of linguistic variables, membership functions, and inference systems. Giving it an apparent advantage when modelling complex conditions. Hybrid frameworks offer fine-grained decision-making and resilient adaptability to real-world …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 01–10 Read article
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Gesture Vocalizer Using Arduino
Abstract: Science and technology have been an indispensable part of our lives, driving innovation and transforming the way we communicate. Communication barriers between the hearing-impaired and the hearing population pose significant challenges in daily interactions. Sign language, a primary mode of communication for the deaf and mute communities, is not universally understood by the general public. This research work presents a novel system for real-time sign language to speech conversion, aiming …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 14–25 Read article
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Emerging Trends in Interdisciplinary Perspectives and Future Frontiers in Modern Symmetry
Abstract: Symmetry, long recognized as a cornerstone of the natural sciences, has increasingly found relevance across a variety of disciplines, from physics and mathematics to economics, architecture, and systems theory. This interdisciplinary review explores the expanding role of symmetry as a conceptual and analytical tool, highlighting its applications in diverse fields. In classical and quantum physics, symmetry principles form the foundation for conservation laws, particle interactions, and field equations. In economics …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 26–30 Read article
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Optimization of Machining Parameters on End Milling of Steel Grade EN 8: A Review
Abstract: Nowadays, most of the machining industries are facing a challenge to achieve high quality of product at given time and reasonable price according to customer requirement. The optimization of machining parameters of manufacturing process leads to effective as well as efficient manufacturing. End milling is one of the operations of milling process, which is used to cut horizontal, vertical and inclined profile. So, generated key ways or profile should be …
Published in Trends in Machine design · Vol. 4, Issue 3, 2017 · pp. 8–11 Read article
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Minimising Round Road Trip Using Automated Traffic Navigation System
Abstract: The concept of traffic navigation without the reliance on conventional traffic signals is gaining prominence. This novel approach seeks to enhance urban vehicular movement by obviating the need for traditional signal systems. This summary delves into the multifaceted realm of signal-free traffic navigation, encompassing cutting-edge technologies like artificial intelligence, machine learning, and sensor arrays. The advantages, including congestion reduction, heightened fuel efficiency, and enhanced traffic fluidity, are expounded upon. Moreover, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 3, 2023 · pp. 10–14 Read article
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Identifying and Implementing a Machine Learning Model Suitable for Processing Visually Evoked Potential
Abstract: A Brain-Computer Interface (BCI) is a system that translates brain activity patterns into computer commands, bypassing physical movement. Electroencephalography (EEG) is commonly used to acquire signals in BCI research. Visual evoked potentials (VEPs) are brain responses in the visual cortex to visual stimuli. Recent studies show that exposing individuals to flickering at a consistent frequency generates EEG signals synchronized with the stimulation. Efficient extraction of VEP signals begins with preprocessing …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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An Explanatory Theory of Predictive Analysis and Industry 5.0 for Students
Abstract: The incorporation of cutting-edge technologies like artificial intelligence, the Internet of Things (IoT), and robotics into manufacturing operations has given rise to Industry 5.0, often referred to as the "Smart Factory". This fresh approach to manufacturing holds the potential to enhance efficiency, lower expenses, and enhance overall operational effectiveness. Predictive analysis is the key technology that enables Industry 5.0 to achieve these goals by utilizing data and machine learning algorithms …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 2, 2023 · pp. 8–12 Read article
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Holographic Beam Switching and Intelligent Routing for Terahertz Space-Air-Ground Integrated Networks
Abstract: The rapid evolution of sixth-generation (6G) and beyond communication technologies necessitates highly adaptive, ultra-high-capacity, and low-latency networking frameworks capable of supporting global connectivity across terrestrial and non-terrestrial domains. This study proposes a novel holographic beam switching and intelligent routing framework for terahertz (THz) Space-Air-Ground Integrated Networks (SAGINs). The proposed architecture leverages holographic beamforming techniques to dynamically manipulate electromagnetic wavefronts, enabling precise beam steering, reduced interference, and enhanced spectral efficiency in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Drilling Parameters Optimization in LM6/B4C/Fly ash Hybrid Composites by Taguchi Technique
Abstract: Aluminium matrix composites (AMCs) are challenging to machine due to its abrasive characteristics. Because of the broad adoption of MMCs, it is vital to create sufficient equipment to facilitate efficient manufacturing. The current study utilizes signal-to-noise ratio (S/N) analysis to determine the ideal machining parameters for drilling AMC’s. The goal with this study is to investigate the effect of feed rate (FR), drill type (D), speed (SS), reinforcing material R …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 890–897 Read article
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Design and fabrication of electrically operated weeder machine
Abstract: The existence of people is built on the foundation of cultivation. For its nature that it keeps up us while also presents the ecological balance, it performs a crucial role in the existence of humans. It occupies a key habitat to any living thing. . But contemporary farming methods are labor- and time-intensive. Conventional petrol-powered excavators are cheap for producers as well as potentially dangerous for nature. The main operation …
Published in Trends in Machine design · Vol. 10, Issue 1, 2023 · pp. 1–9 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article