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185 articles for “machining time”
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Depression, Stress and Anxiety Prediction
Abstract: In the fast-moving up-to-date realm, intellectual well-being issues like anxiety, depression and stress have enhanced very coarse between common people. The system has entrenched information to label the sentences and make a decision itself as reaction to answer a question. The table contains chatterbot or chatbot information. It exists of four buttons as offset Time, Date, Questionnaires and Image Processing. Image preparing is used to monitor the exciting rank of …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 13–19 Read article
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Experimental Test Results on the Effect of Ultrasonic Waves on Defects in Car Bearings: The Effect of Defect Size
Abstract: To check for defects in car bearings, they are identified and measured by sound waves that are affected by the defect. Based on sound, it is called ultrasound technology because it uses high frequencies. High frequencies are the basis of ultrasound. Two features are useful for low-speed cars, which by definition usually have poor signal tolerance. High frequencies are sensitive to the effects of sound waves. In addition, the ultrasound …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 7, Issue 1, 2021 · pp. 14–21 Read article
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Unveiling Employee Attrition: Harnessing Predictive Modeling for Proactive Workforce Management
Abstract: This study aims to predict employee turnover and identify organizational factors contributing to attrition by employing predictive analytics techniques. Employee attrition, which refers to the loss of employees without immediate replacements, leads to reduced overall workforce productivity. The study evaluates different machine learning techniques, such as gradient boosting, random forest, and logistic regression, to identify employees who are most likely to leave, and uses SPSS software to ensure the reliability …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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A study on effects of mass flow rate and compressor pressure ratio on gas turbine cycle performance
Abstract: Gas turbines are rotating machines that work based on the energy of gases from combustion. Each gas turbine includes a compressor to compress air, a combustion chamber to mix air with fuel and ignite it, and a turbine to convert the energy of the hot, compressed gases into mechanical energy. Gas turbines have many advantages over steam turbines, such as small volume, quick installation, quick start-up, easy operation and the …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 8, Issue 2, 2022 · pp. 1–8 Read article
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Recognition and Detection of Content in Video Using OpenCV
Abstract: The emergence and continued reliance on the Internet and related technologies has resulted in massive amounts of data that can be analysed. Humans, on the other hand, do not have the cognitive abilities to comprehend such vast amounts of data. Machine learning (ML) is a mechanism that enables humans to process large amounts of data, gain insights into the data's behaviour, and make more informed decisions based on the analysis's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 42–47 Read article
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Automated Medication Dispenser with Alert Mechanism
Abstract: An increasing number of people are becoming older and developing chronic illnesses, which increases the demand for effective drug management programs. We introduce the Automatic Medicine Dispenser with Alert System, a revolutionary tool that has the potential to revolutionize the way individuals with complex treatment plans handle their drugs in answer to this pressing necessity. This state-of-the-art instrument aims to facilitate drug administration and promote adherence, improving patients' general health …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 1, 2024 · pp. 46–54 Read article
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Plotting Precision: Exploring the Capabilities of XY Plotters in Modern Research
Abstract: An XY Plotter machine is proposed in this paper to produce precise and consistent graphical output for customers. It consists of two axis which are perpendicular to each other, each axis has a motorized carriage that moves independently. The precision and accuracy of the axis arm movement allow it to produce detailed drawings, graphs, and diagrams. XY Plotter fulfills the industry’s demand for accuracy and precision. The XY plotter is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 17–26 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 Read article
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AI's Influence on Social Interactions
Abstract: Artificial Intelligence (AI) shows rapid transformational powers in numerous industries while creating profound changes to how people interact with each other. The continuing evolution of AI technologies that include machine learning and natural language processing together with robotics system transforms interpersonal communication in personal and professional domains. This study examines different ways that Artificial Intelligence influences social activities through its impact on human communication and emotional relationships and social connections …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 17–27 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 Read article
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Renewable Energy Technologies for Future and Sustainable Development
Abstract: People are relying upon oil for primary energy and this will continue for a few more decades. Other conventional sources may be more enduring but are not without serious disadvantages. The renewable energy resources are particularly suited for the provision of rural power supplies and a major advantage is that equipment such as flat plate solar driers, wind machines, etc., can be constructed using local resources. Without the advantage results …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 4, Issue 2, 2018 · pp. 11–29 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
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Speed Checker for Highways
Abstract: This article has descriptive issued speed check policy for highways. Estimating velocity of moving vehicle has adoptive issued usual vehicle speed detection by usage of image/video process etiquette, where speed has conclusive, as of, usage time taken between frame/corner detection i.e., object traversed abide by frame specific issue. Henceforth, output has rated by frame mask ethic to finally secure usual differentiation beyond one issue i.e., act out of one and …
Published in International Journal of Computer Aided Manufacturing · Vol. 7, Issue 2, 2021 · pp. 11–16 Read article
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Convolution Neural Network Model to Classify Photo Gallery on an Android Device
Abstract: The classification of images is a classic topic in the domains of image processing, computer vision, and machine learning. Convolution Neural Networks, a sort of deep learning that falls under the Machine Learning sub-domain, have been used in this model. This model was inspired by the problem that students experience at the end of the academic year is that their phones become cluttered with photos from various sources. The aim …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 1, 2022 · pp. 9–17 Read article
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Innovative Digital Clusters for EVs: Design, Features, and User Experience
Abstract: This paper examines the development of digital dashboards (clusters) in electric vehicles (EVs) aimed at providing drivers with clear, real-time, and essential information. As EV adoption continues to rise due to government incentives and growing environmental awareness, the demand for an intuitive, user-friendly, and efficient dashboard has become increasingly important. An EV’s digital cluster displays crucial data, such as speed, battery level, estimated driving range, and energy consumption. Additionally, it …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 15–22 Read article
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Comprehensive Review of Processes, Materials, Developments, and Challenges of Additive Manufacturing
Abstract: Abstract Additive Manufacturing (AM), or 3D printing as it is known widely, has evolved significantly from being a prototyping technology to an end-use production technique across different industrial sectors. This groundbreaking technology allows for the direct creation of intricate, user-designed, and high-performance components through sequential addition of material from digital models, which abolishes most of the design and production constraints of conventional manufacturing. Its application is underscored by its pivotal …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 6–24 Read article
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Investigation on the influence of calcium Fluoride and Barium Fluoride on cutting performance during hard turning with minimal fluid application
Abstract: Recently the concept of minimal fluid application has gained attention in metal cutting industry as it has the ability to resemble pure dry turning and at the same time free from all the problems related to large scale use of cutting fluid as in conventional wet turning. Since a very small quantity of cutting fluid is doing cooling and lubrication in minimal fluid application, there must be some performance enhancers …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 2, 2016 · pp. 17–26 Read article
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Engineering Solutions through Linear Algebraic Principles
Abstract: The field of mathematics concentrates on industrial problems and seeks solutions that are applicable to the industry. One area of mathematics that deals with the study of the physical sciences is called applied mathematics. Algebra is used by engineers to study and create structures, machinery, and electric circuits. They solve optimization equations, develop mathematical models to assess the safety and functionality of designs, and apply the results to analyze topics …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 1, 2024 · pp. 26–33 Read article
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Analyzing Applications and Risks of IoT in Education: A Comprehensive Approach
Abstract: By promoting student involvement, increasing administrative effectiveness, and developing intelligent learning environments, the Internet of Things (IoT) is revolutionizing the education industry. Smart classrooms, interactive whiteboards, and real-time attendance systems are just a few examples of IoT-powered gadgets that are enhancing accessibility and customization in education. The potential impact that IOT can have on various industries is huge, including the education industry. IoT (internet of things) can be said as …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 20–28 Read article
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A Secured Distributed Database System Using Rijndael Encryption Algorithm
Abstract: There is a pressing need to secure distributed database system in order to address effectively some challenges, such as, no encryption of users’ access details in the database, which could be hacked by skilled hands, and also the security of the data is highly and threateningly compromised when using data encryption standard (DES) algorithm. This is because it has weak or semi-weak keys, inability of DES algorithm to eliminate the …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 1–8 Read article