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- Volume 19, Issue 2, 2025
Recent Patents on Engineering - Volume 19, Issue 2, 2025
Volume 19, Issue 2, 2025
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Sustainable Teaching and Learning E-learning Model towards Redesigning Transformative Learning Model for Knowledge Sharing & Infrastructure Enhancements Post COVID-19
BackgroundRecently, e-learning has become a very basic, integral part of technology-based learning. Wide trends are increasing day by day because of the demands and its usage based on working remotely due to highly penetrated mobile handheld devices and digital media. The smart campus infrastructure has played a vital role to its full extent towards Z millennium students in the 20th century. The teaching and learni Read More
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A Model to Validate Different Inflections of Assamese Verbs
Authors: Parismita Sarma, Manash Pratim Bhuyan, Chandamita Kalita and Varsha UpadhyayaA verb in a sentence defines the action to be performed and keeps the subject of the sentence in motion. Assamese is a language spoken by millions of people in Assam, a North Eastern state of India. In the Assamese language, different inflections of verbs express the tense of the action, whether it is present, past or future. Verbs are inflected according to person, number, gender, tense, and voice, thus showing their exist Read More
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CAML: Cryptographic-Based Cloud Security for Healthcare Data with Machine Learning Technique
Authors: Chaithra M.H. and Vagdevi S.BackgroundThe Cloud model is one of the most realistic frameworks with a vast range of social networking interactions. In medical data, security is a major constraint as it incorporates information about the patients. The cloud environment subjected to mobility and openness is exposed to security issues and limits authorization levels for data transmission.ObjectiveThis patent paper aims to propose a security model for atta Read More
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Genetic Algorithm-based Machine Learning Approach for Epileptic Seizure Identification and Classification
Authors: K. Thanuja, Shoba M. and Kirankumari PatilBackgroundEpileptic Seizure (ES) is a neural disorder that generates an uncontrolled brain signal impulse. The disorder is seen in young children and adults with a positive medical history.MethodsIn this patent paper, a novel approach to epileptic seizure detection and prediction is proposed and evaluated. The seizure is retrained from Electroencephalography (EEG) high-dimension datasets. The EEG datasets further segment Read More
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Knowledge Representation of Sensor Dataset with IoT Collaboration of Semantic Web and IoT: Storage of Temperature and Humidity Details
Authors: Gajendrasinh N. Mori, Priya R. Swaminarayan and Ronak PanchalIntroductionToday, Internet of Things applications offer new opportunities in all domains like home automation, transportation, medical diagnosis, agriculture, etc. According to McKinsey Global Institute research, IoT will cover a market share of over $11.1 trillion by 2025. Moreover, Semantic web technology approaches are used in IoT applications so that machines can understand and interpret sensor-collected data.MethodsO Read More
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Implementation of Secure and Verifiable Access Control Procedures using the NTRU Cryptosystem to Store Big Data in the Cloud Environment
BackgroundDue to their complexity and size, deploying ciphertexts for clouds is considered the most useful approach to accessing large data stores.MethodsHowever, access to a user's access legitimacy and improving a decrypted text on the cloud depending on an improved access policy (AP) specified by the data owner are the key challenges for making large data storage realistic and effective in clouds. The traditional w Read More
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Analysis of IoT Applications in Highly Precise Agriculture Farming
Authors: Latha Reddy N. and Gopinath Masila P.BackgroundThe IoT (Internet of Things) assigns to the capacity of Device-to-Machine (D2M) connections, which is a vital component in the development of the digital economy. IoT integration with a human being enables real-time decision-making in communication, collaboration, and technology analytics. Furthermore, environmental factors impacting plants, such as air humidity, temperature, air quality index, and soil Read More
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IoT based Predictive Modeling Techniques for Cancer Detection in Healthcare Systems
Authors: Ramya T. and Gopinath M.P.BackgroundThe main objective of the Internet of Things (IoT) has significantly influenced and altered technology, such as interconnection, interoperability, and sensor devices. To ensure seamless healthcare facilities, it's essential to use the benefits of ubiquitous IoT services to assist patients by monitoring vital signs and automating functions. In healthcare, the current state-of-the-art equipment cannot detect many c Read More
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Innovative Video Classification Method based on Deep Learning Approach
Authors: V. Hemamalini, D. Jayasutha, V. R. Vinothini, R. Manjula Devi, A. Kumar and E. AnithaBackgroundThe automated classification of videos through artificial neural networks is addressed in this work. To explore the concepts and measure the results, the data set UCF101 is used, consisting of video clips taken from YouTube to recognize actions. The study is carried out with the authors' resources to determine the feasibility of independent research in the area.MethodsThis work was developed in the Python p Read More
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Application of Machine Learning Predicting Injuries in Traffic Accidents through the Application of Random Forest
BackgroundThe objective of this work is to analyze and predict the harmfulness in traffic accidents.MethodsSeveral Random Forest statistical models are created, in which the predictable variable (response/ output variable) is the harmfulness of the accident, while the input variables are the various characteristics of the accident. In addition, these generated models will allow estimating the influence or importance of each Read More
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Analysis and Design of CUK-SEPIC-based Converter for Hybrid Power Generation Systems
Authors: Vineeth Kumar P.K. and Jijesh J.J.BackgroundThe increasing demand for electricity, coupled with an imbalanced supply and demand, population growth, and climate change, has prompted the shift from conventional to non-conventional energy systems. However, the unreliability and intermittency of the latter pose a challenge to their feasibility. To address this challenge, a proposal has been made to explore the combination of two renewable energy s Read More
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A Review on High-speed Electric Spindle Dynamics Modeling and Vibration Response Research
Authors: Ye Dai, Binbin Qiao, Xinda Chen and Gaofeng PanBackgroundOne of the main directions of modern technology in the field of precision machining is high-speed operation. The spindle system is commonly utilized in this kind of operation, and the electric spindle is the main preference among high-speed machine tool spindles.ObjectiveHigh-speed electric spindle vibration characteristics affect the machining accuracy of the machine tool and the quality of the workpiece, so th Read More
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Deterministic Weight Modification-based Extreme Learning Machine for Stock Price Prediction
Authors: K. Kalaiselvi and Vasantha Kalyani DavidBackgroundThe prediction of the stock price is considered to be one of the most fascinating and important research and patent topics in the financial sector.AimsMaking more accurate predictions is a difficult and significant task because the financial industry supports investors and the national economy.ObjectivesThe DWM is used to adjust the connection weights and biases to enhance prediction precision and converge Read More
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Volumes & issues
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Volume 19 (2025)
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Volume 18 (2024)
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Volume 17 (2023)
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Volume 16 (2022)
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Volume 15 (2021)
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Volume 14 (2020)
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Volume 13 (2019)
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Volume 12 (2018)
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Volume 11 (2017)
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Volume 10 (2016)
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Volume 9 (2015)
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Volume 8 (2014)
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Volume 7 (2013)
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Volume 6 (2012)
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Volume 5 (2011)
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Volume 4 (2010)
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Volume 3 (2009)
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Volume 2 (2008)
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Volume 1 (2007)
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