The main task of this work is to establish the consumption of energy from renewable sources such as solar and wind energy for the production of such a combustible substance as hydrogen, and further optimal calculation...
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The most serious disease that can affect paddy plants is blast disease. All over the world, it results in enormous yield losses. A fungus that attacks the plant's leaves, nodes, and grains is the main culprit behi...
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(纸本)9789819726134
The most serious disease that can affect paddy plants is blast disease. All over the world, it results in enormous yield losses. A fungus that attacks the plant's leaves, nodes, and grains is the main culprit behind the disease. Fungicides are frequently used to stop blast disease, but this approach has some drawbacks, including environmental pollution and the development of fungicide-resistant disease strains. An effective tool for modeling and managing complex systems, such as the blast disease in paddy plants, is fuzzy logic. In this study, we investigate the modeling and management of blast disease in paddy plants using fuzzy logic. We'll discuss the input variables, fuzzy sets, rule base, and output variables, among other components, that make up the fuzzy logic system. The various phases of fuzzy logic, including fuzzification, inference, and defuzzification, will also be covered. The advantages of using fuzzy logic to manage blast disease in paddy plants, including its capacity to deal with ambiguous and imprecise data and its potential to integrate with other control systems, will be discussed in the final section. The fungal disease known as rice leaf blast, which is having a devastating effect on rice production and quality throughout the globe, thrives in warm, humid environments. Management of rice production relies on precise and non-destructive diagnostic techniques. The use of hyper spectral imaging technologies for diagnosing plant diseases has much promise. The problem with using hyper spectral data to build an effective illness classification model is that it contains a lot of duplicated information. However, a lack of representative features has been gathered due to the complexity and limited scope of agricultural hyper spectral imaging data collection. This paper discussed the four models DenseNet169-MLP, CNN, EfficientNetB3, and DNN JOA. DenseNet169-MLP achieves the highest accuracy 96.52, precision of 100, F1-score 94.29 compared to other model
Rare earth(RE)ions,with abundant 4f energy level and unique electronic arrangement,are considered as substitutes for Pb^(2+)in perovskite nanocrystals(PNCs),allowing for partial or complete replacement of lead and min...
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Rare earth(RE)ions,with abundant 4f energy level and unique electronic arrangement,are considered as substitutes for Pb^(2+)in perovskite nanocrystals(PNCs),allowing for partial or complete replacement of lead and minimizing environmental *** review provides a comprehensive overview of the characteristics of RE-doped PNCs,including up-conversion luminescence,down-conversion luminescence,and quantum confinement effects,***,RE doping has been found to effectively suppress defect formation,reduce nonradiative recombination,enhance photoluminescence quantum yield(PLQY),and even allow for controlling over the morphology of the *** review also highlights the recent advancements in lead-free RE-based perovskites,especially in the case of Eu-based perovskites(CsEuBr_(3) and CsEuCl_(3)).Furthermore,it briefly introduces the applications of PNCs in various fields,such as perovskite solar cells(PSCs),luminescent solar concentrators(LSCs),photodetectors(PDs),and light-emitting diodes(LEDs).A systematic discussion on the luminescence mechanisms of RE-doped PNCs and lead-free RE-based perovskites is provided,along with an outlook on future research *** ultimate goal of this review is to provide guidance for the development of RE-based perovskite optoelectronic devices.
The integration of social networks with the Internet of Things (IoT) has been explored in recent research, giving rise to the Social Internet of Things (SIoT). One promising application of SIoT is viral marketing, whi...
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In today's digital era, Online Social Media (OSM) like Twitter, Facebook, and Instagram are used to share information. Everyone is trusted on these social network platforms for exchanging information such as perso...
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Cardiovascular Diseases (CVDs) are a leading cause of mortality worldwide, posing a significant public health challenge. This study aims to contribute to the existing research on CVD prediction by exploring the applic...
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Multi-label text classification is a key task in natural language processing, aiming to assign each text to multiple predefined categories simultaneously. Existing neural network models usually learn the same text rep...
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The main aim of this research work is to detect suicide-related thoughts in social media, particularly on Reddit, for preventing potential suicidal incidents and offering appropriate mental health support. Limited acc...
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Climate change still implies risks for economic security, such as for agriculture and its productivity and, therefore, national economic potential. Although similar approaches have been used in publications concerning...
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Light pollution not only interferes with wildlife migration patterns, but also wastes a lot of energy. However, artificial light has both positive and negative effects, affecting different locations in different ways....
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