The evolution of technologies in the last decades has transformed the whole human interaction experience with the digital world. Integrated into users' home voice assistant devices has rationalized personal intera...
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We demonstrate manipulation of a cavity mode number for reflective structural color filters creating RGB colors with high efficiency over 85% and high color purity where color gamut is comparable to that of the sRGB. ...
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In recent years, due to the world population growth, the demand for agricultural products has also increased. Global crises such as climate change, destruction of water resources, pollution and destruction of aquatic ...
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ISBN:
(数字)9798331523114
ISBN:
(纸本)9798331523121
In recent years, due to the world population growth, the demand for agricultural products has also increased. Global crises such as climate change, destruction of water resources, pollution and destruction of aquatic ecosystems, have limited the access to clean water to irrigate the agricultural fields in a global scale. Meanwhile, according to the reports of Food and Agriculture Organization of the United Nations (FAO), about 70% of global water consumption is allocated to agricultural activities. Therefore, it is necessary to minimize water consumption during agricultural irrigation while maximizing crop yield by the end of the season. Most IoT frameworks used in irrigation systems collect data from the soil and weather, then send it to the user, leaving the final decision on irrigation to the user. This approach may cause water wastage or even water stress for the plants as the amount of water irrigated in fields may be low. In this paper, we will use deep reinforcement learning approaches to reach this goal. We propose a novel approach to minimize water usage while keeping the yield produced at the highest level. Our approach utilizes DQN and A2C networks. The findings demonstrate that our methods reduce water wastage compared to previous approaches, making it more flexible and practical in varying weather and soil conditions.
Data collected from a solar-powered vehicle is monitored in real-time using a graphical user interface, which allows for a better understanding of the vehicle's status. This paper discusses improvements to the acc...
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In this paper, the asymptotic stabilization of Markov Jump Neural Networks (MJNNs) with time-varying delays under aperiodic Denial-of-Service (DoS) attacks is studied. Firstly, in order to lessen the "unnecessary...
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Effective communication between autonomous vehicles is essential for ensuring their safe and efficient operation. This research introduces Parr-OrAGNet, a novel approach that addresses the limitations of traditional c...
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Deep hiding involves embedding a secret image within a cover image so that the secret becomes imperceptible to ensure the security of steganography. However, in practical applications, accuracy loss is due to data con...
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This work presents the implementation of an AI-powered robotic chatbot designed to transform customer service in the online shopping sector. The chatbot is engineered to manage key customer interactions, including ord...
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Metasurfaces are expected to revolutionize wireless communications due to their ability to enhance different characteristics of electromagnetic wave propagation channels. The response of a metasurface to an electromag...
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ISBN:
(数字)9789463968119
ISBN:
(纸本)9798350359497
Metasurfaces are expected to revolutionize wireless communications due to their ability to enhance different characteristics of electromagnetic wave propagation channels. The response of a metasurface to an electromagnetic excitation is determined by the geometry, the material composition, and the spatial arrangement of its sub-wavelength unit cells. This response can be considered as a spatiotemporal discontinuity in the field and can be mathematically described using the so-called generalized sheet transition conditions (GSTCs) (K. Achouri and C. Caloz, Electromagnetic Metasurfaces: Theory and Applications, Wiley, 2021). The GSTCs connect the electromagnetic fields on two sides of the metasurface using the electric and magnetic bianisotropic susceptibility tensors which effectively represent the metasurface.
Speaker recognition provides an answer to the question 'Who is speaking?'. Most of the research in the field of speaker recognition focuses on models for recognizing thousands of speakers and uses large datase...
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