This study applies single-valued neutrosophic sets, which extend the frameworks of fuzzy and intuitionistic fuzzy sets, to graph theory. We introduce a new category of graphs called Single-Valued Heptapartitioned Neut...
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The exchange of knowledge is widely recognized as a crucial aspect of effective knowledge management. When it comes to sharing knowledge within Prison settings, things get complicated due to various challenges such as...
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Enhancing the process parameters is crucial for dealing with aged AA2024 matrix composites as they affect various elements including mechanical properties, TWR, surface finish, and accuracy. AA2024 is selected as matr...
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This paper introduces a deep learning (DL)-based vision system for real-time object detection, grasping, and sorting using a UR5e robotic manipulator, aimed to address the challenges faced in industrial automation whi...
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Fruit classification is an indispensable component of the modern world, with applications ranging from agriculture and food production to retail and distribution. Accurate classification of fruits ensures quality cont...
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ISBN:
(纸本)9798350385649
Fruit classification is an indispensable component of the modern world, with applications ranging from agriculture and food production to retail and distribution. Accurate classification of fruits ensures quality control and helps in streamlining supply chains. However, fruit classification is a complex endeavor, primarily due to the intrinsic diversity of fruits in terms of size, shape, color, and other characteristics. The challenge intensifies when the goal is not only to identify fresh fruits but also to detect and classify rotten or spoiled ones. The existing models and systems designed for fruit classification have been proficient in categorizing fresh, visually appealing fruits. These models have found widespread utility in industries such as agriculture and supermarkets, where the goal is to separate fruits that meet certain quality standards. However, they fall short when it comes to addressing the critical issue of identifying and classifying fruits that are no longer fit for consumption, which is equally important to prevent waste and maintain quality control. To bridge this gap, this project develops a comprehensive approach. It begins with the acquisition of a dataset that includes both fresh and rotten fruits. By combining the power of deep learning, specifically Convolutional Neural Networks (CNN), the project aims to classify fruits into distinct categories. The CNN model is trained to differentiate between fresh and rotten fruits by learning from a diverse set of images. In addition to classification, the project employs the capabilities of OpenCV, a popular computer vision library, to assess the ripeness of fruits based on the color. OpenCV provides a robust platform for analyzing color variations in fruit images. By leveraging this color analysis, the project can not only classify fruits but also determine their ripeness levels, providing a more holistic evaluation of fruit quality. The integration of CNN -based classification and OpenCV-driven ri
Hypoglycemia in Type 1 Diabetes (T1D) refers to a condition where blood glucose (BG) levels drop to abnormally low levels, typically below 70 mg/dL. This can occur when there is an excessive amount of insulin relative...
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The exponential growth of data driven by the internet has necessitated effective extraction of insights, with big data and machine learning standing as pivotal tools. This paper aims to provide insights into the evolv...
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The mobile cellular network provides internet connectivity for heterogeneous Internet of Things(IoT)*** cellular network consists of several towers installed at appropriate locations within a smart *** cellular towers...
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The mobile cellular network provides internet connectivity for heterogeneous Internet of Things(IoT)*** cellular network consists of several towers installed at appropriate locations within a smart *** cellular towers can be utilized for various tasks,such as e-healthcare systems,smart city surveillance,traffic monitoring,infrastructure surveillance,or sidewalk *** is a primary concern in data broadcasting,particularly authentication,because the strength of a cellular network’s signal is much higher frequency than the associated one,and their frequencies can sometimes be aligned,posing a significant *** a result,that requires attention,and without information authentication,such a barrier cannot be ***,we design a secure and efficient information authentication scheme for IoT-enabled devices tomitigate the flaws in the e-healthcare *** proposed protocol security shall check formally using the Real-or-Random(ROR)model,simulated using ProVerif2.03,and informally using pragmatic *** comparison,the performance phenomenon shall tackle by the already result available in the MIRACL cryptographic lab.
In this article, a new coupled-inductors based three-level bipolar buck-boost ac-ac converter is proposed. The proposed converter can produce highly efficient and symmetric in-phase and antiphase buck and boost modes ...
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