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1051 articles for “time machine”
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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
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Optimization of Machining Parameters for Minimum Surface Roughness Indicators during the Turning of AISI 316 L Stainless Steel
Abstract: Turning is the most common process associated with the production of cylindrical shapes because of its simplicity, rapidity and economy. However, it is one of the most complex cutting processes. Turning is considered to be a complementary process of other more important processes, and yet 70% of the generated chip comes from this cutting technique. Quality plays important role in manufacturing industry. In on-line quality control, controller is provided with …
Published in Journal of Mechatronics and Automation · Vol. 7, Issue 1, 2020 · pp. 24–30 Read article
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Development of a Simplified Mathematical Modelling for the Job Shop Scheduling to Calculate Makespan
Abstract: In this paper, mathematical modelling is prepared for job shop scheduling problem. Makespan is calculated using maximum machine time. Matlab algorithm is developed for mathematical modelling. Formula is tested using various case studies. Gantt chart is prepared for graphical representation of solution. Results have been verified for mathematical modelling using Gantt chart approach.Cite this ArticleKagthara MS, Bhatt MG. Development of a Simplified Mathematical Modelling for the Job Shop Scheduling to …
Published in Journal of Production Research & Management · Vol. 7, Issue 1, 2017 · pp. 22–25 Read article
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A Review on Modification in PST Adaptor Plate Fixture for Improvement in the Productivity
Abstract: PST (Power steering) is a solid plate is used in 100 HP tractor as hydrostatic manifold as a mechanism of clutch, brake & forward reverse system. so PST adaptor plate has a Fixture is used a work holding device used in a production and machining in industries, a device fixed to the work table of a machine and locate the work in an exact position relative to the cutting tool. …
Published in Trends in Machine design · Vol. 6, Issue 1, 2019 · pp. 8–18 Read article
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A Study on Feature Subset Selection in Feature Streams of Dynamic Data
Abstract: As the use of real-time data with high dimensions continues to expand across various domains, selecting important features from the dataset is a key step to improve the predictive accuracy and time taken to build a machine learning model. In datasets where not all features are available at the same time and we are unaware of the total number of features, and features arrive at different time stamps, for example, …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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Machine Learning Optimization for VARTM Carbon Polymer Laminates
Abstract: Vacuum-assisted resin transfer moulding (VARTM) is a key low-cost, out-of-autoclave process for manufacturing large-scale carbon-fibre reinforced polymer (CFRP) laminates crucial to aerospace wings, wind-turbine blades, marine hulls, and automotive structures. Unpredictable resin flow often leads to voids, dry spots, and race-tracking defects, resulting in 27.9% scrap rates and lengthy, costly trial-and-error design cycles. Although surrogate models provide rapid impregnation predictions for simple flat-plate geometries, vision-based monitoring is limited to idealized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–245 Read article
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A Real-time Automated Drowsiness Detection of Driver Using the Visual Behaviour and Machine Learning Technique Through WebCam
Abstract: In our day-to-day life, many accidents can occur due to the drowsiness of the driver. It is one of the causes of road accidents. To prevent accidents, we proposed a system to detect the drowsiness of driver by measuring the eye aspect ratio, mouth yawning and alert the driver. It will save the life of a person. In this, the driver fatigue is continuously captured by webcam. Image processing methods …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 10–19 Read article
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Designing an AI-Based Platform for Stock Market Prediction
Abstract: The AI-Based Platform for Stock Market Prediction is an advanced tool designed to forecast stock prices and market trends using artificial intelligence. This platform combines machine learning algorithms, real-time financial data, and sentiment analysis to provide investors with actionable insights. The platform uses advanced predictive techniques like Long Short-Term Memory (LSTM) networks and Gradient Boosting Machines to generate precise and reliable forecasts. Additionally, it incorporates interactive visualizations and portfolio optimization …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 14–19 Read article
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Quality Control Study for Piston Rings: A Case Study
Abstract: The manufacturing consideration in the contact shaped by the piston ring has attracted plenty of attention over many decades, not least indicated by the huge no. of articles published on this topic in recent years.The modern manifesting concept is more like a protective kind and addresses the need for a manufacturing organization to produce efficiently and effectively. Today's manufacturing id highly challenging and it tests an organization's ability to perform …
Published in Journal of Production Research & Management · Vol. 12, Issue 3, 2022 · pp. 1–8 Read article
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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IoT-based Heart Attack Prediction System Using Machine Learning
Abstract: Heart disease, particularly heart attacks, is one of the leading causes of mortality worldwide. Timely detection and prompt intervention play a vital role in significantly improving the survival rates of individuals at risk of cardiac events. Unfortunately, most traditional healthcare systems are not equipped with mechanisms for continuous, real-time monitoring of patients' cardiovascular health. This limitation makes it extremely difficult for healthcare providers to identify warning signs early enough to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 1–5 Read article
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Supply Chain Optimization Using Big Data
Abstract: In the references to add productivity and short the appendences, and increase customer value, supply chain optimization is a very crucial part of contemporary business operations. Supply chain management has been transformed by the emergence of big data, which can provide analysis and insight from many different sources of information. This content explores the importance of using big data analytics to improve the delivery process. Thanks to the evolution of …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 19–25 Read article
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Comparative Study of Dry, Wet and MQL Lubricating Method on Aluminium 7075 Using Vertical Milling Machine
Abstract: In present time the technology of CNC vertical milling machine has been improved significantly to meet the advance requirements in various manufacturing fields, in which the major contribution is of biomedical field, automobile field and aerospace industries, so while machining to get better surface finish generally lubrication method is used, which also helps to maintain the temperature near interface of tool and workpiece. If the traditional cooling method is used …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 1, 2021 · pp. 12–19 Read article
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Transformer Health Monitoring System
Abstract: Rising demands for reliable and efficient power distribution in modern electric control grid increasingly call up for robust monitoring systems for critical substructure. Being a vital part of the power conduction system, transformer are subjected to mechanical, electrical, and environmental stresses, which, if not properly controlled, can cause failures. In this project, we propose a Transformer Health Monitoring System (THMS) using machine learning (ML) models and real-time monitoring method to …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 1–9 Read article
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Productivity Improvement of CNC Machines Using Automatic Loading and Unloading System
Abstract: Industries are a major part of life since the industrial revolution, but industries of recent times are finding peculiar ways of being in the hard-fought competition. The new revolution must be the extensive usage of computer numerical control machines for high productivity with same quality, or sometimes, better. But these CNC machines also have few problems which have to be dealt with. One of the major problems is loading and …
Published in Journal of Production Research & Management · Vol. 7, Issue 2, 2017 · pp. 29–33 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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Human Powered Washing Machine
Abstract: AbstractThe power generated by pedaling is the transformation of energy which utilizes the human efforts to drive the wheel. It is a very common form of energy used in various types of applications like transportation for a long time ago. Altogether this form of energy can be utilized in various aspects. This study mainly focuses on the pedal-powered washing mechanism. The basics of this machine depend on the Principle of …
Published in Journal of Instrumentation Technology & Innovations · Vol. 10, Issue 2, 2020 · pp. 13–18 Read article
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Design of Flour Kneading Machine by using Human Powered Flywheel Motor (HPFM)
Abstract: In present era, flywheel motor is used in various applications extensively and mechanism are powered by human muscle energy. In India, conventionally the flour kneading system works on electric motor or by hand muscle power. These methods are used widely and kneading by hand is time consuming. Some kneading machine is also operated by hand but they are small capacity and time consuming and conventional method by electric motor is …
Published in Trends in Machine design · Vol. 6, Issue 1, 2019 · pp. 19–24 Read article
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Hand Geometry based Person Identification System using Support Vector Machine
Abstract: In recent times, it is immensely important to identify a person to access the secure data in a system. In this case, verification and identification techniques play a vital role to secure the process. Password system has failed to provide such kind of security. We highly emphasize on the biometric characteristics to design such secured systems. In this paper, we provide a way to identify a unique person by his …
Published in Current Trends in Signal Processing · Vol. 5, Issue 1, 2015 · pp. 26–33 Read article