Plant leaf disease detection plays a crucial role in agricultural management;this work presents a methodology for precise identification of plant leaf diseases, crucial for effective agricultural management and timely...
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This paper analyzes whether Android apps may outsource computational activities to cloud servers. Due to the complexity of mobile apps, shifting computing operations to the cloud has become popular to improve performa...
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This study integrates satellite imagery, machine learning, and explainable AI to enhance the predictive accuracy and interpretability of the Human Development Index (HDI) in East Java, Indonesia. Using advanced models...
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The design ofmicrostrip antennas is a complex and time-consuming process,especially the step of searching for the best design ***,the performance ofmicrostrip antennas can be improved usingmetamaterial,which results i...
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The design ofmicrostrip antennas is a complex and time-consuming process,especially the step of searching for the best design ***,the performance ofmicrostrip antennas can be improved usingmetamaterial,which results in a new class of antennas called metamaterial *** parameters affect the radiation loss and quality factor of this class of antennas,such as the antenna ***,the optimal values of the design parameters of metamaterial antennas can be predicted using machine learning,which presents a better alternative to simulation tools and trialand-error ***,the prediction accuracy depends heavily on the quality of the machine learning *** this paper,and benefiting from the current advances in deep learning,we propose a deep network architecture to predict the bandwidth of metamaterial *** results show that the proposed deep network could accurately predict the optimal values of the antenna bandwidth with a tiny value of mean-square error(MSE).In addition,the proposed model is comparedwith current competing approaches that are based on support vector machines,multi-layer perceptron,K-nearest neighbors,and ensemble *** results show that the proposed model is better than the other approaches and can predict antenna bandwidth more accurately.
The enormous variations in food choices and lifestyle in today’s world have given rise to the demand of using recommender system as a suitable tool in making appropriate food choices. Need for choosing nutritious foo...
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The Internet of Things (IoT) is one of the most intriguing technological revolutions of the last few years due to its rapid expansion. The advancement of IoT applications is dependent on standard and real-time communi...
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In the field of software development life cycle, the maintenance phase is one of the focused steps. Normally, thousands of bugs are reported daily by testers. So, it is very important to fix that bug as soon as p...
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Fog computing stands as a recent and significant technological advancement in the realm of computing technologies, addressing several limitations inherent in cloud computing and yielding diverse optimizations. As the ...
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In the ongoing pandemic that we are in general confronting, a cover has turned into a significant extra that we want to wear at whatever point we step out to safeguard ourselves and everyone around us. People who wear...
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Recently, the pollution in the world is leading into many diseases which are incurable at current situation, and also the treatments are not in the leading position. These ailments have an impact on the tubes (airways...
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