Search Results - "Alibabaei, Khadijeh"

Crop Yield Estimation Using Deep Learning Based on Climate Big Data and Irrigation Scheduling by Alibabaei, Khadijeh, Gaspar, Pedro D., Lima, Tânia M.

“…Deep learning has already been successfully used in the development of decision support systems in various domains. Therefore, there is an incentive to apply…”
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A Review of the Challenges of Using Deep Learning Algorithms to Support Decision-Making in Agricultural Activities by Alibabaei, Khadijeh, Gaspar, Pedro D., Lima, Tânia M., Campos, Rebeca M., Girão, Inês, Monteiro, Jorge, Lopes, Carlos M.

“…Deep Learning has been successfully applied to image recognition, speech recognition, and natural language processing in recent years. Therefore, there has…”
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Real-Time Weed Control Application Using a Jetson Nano Edge Device and a Spray Mechanism by Assunção, Eduardo, Gaspar, Pedro D., Mesquita, Ricardo, Simões, Maria P., Alibabaei, Khadijeh, Veiros, André, Proença, Hugo

“…Portable devices play an essential role where edge computing is necessary and mobility is required (e.g., robots in agriculture within remote-sensing…”
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Modeling Soil Water Content and Reference Evapotranspiration from Climate Data Using Deep Learning Method by Alibabaei, Khadijeh, Gaspar, Pedro D., Lima, Tânia M.

“…In recent years, deep learning algorithms have been successfully applied in the development of decision support systems in various aspects of agriculture, such…”
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Leveraging Machine Learning for Weed Management and Crop Enhancement: Vineyard Flora Classification by Corceiro, Ana, Pereira, Nuno, Alibabaei, Khadijeh, Gaspar, Pedro D.

“…The global population’s rapid growth necessitates a 70% increase in agricultural production, posing challenges exacerbated by weed infestation and herbicide…”
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Comparison of On-Policy Deep Reinforcement Learning A2C with Off-Policy DQN in Irrigation Optimization: A Case Study at a Site in Portugal by Alibabaei, Khadijeh, Gaspar, Pedro D., Assunção, Eduardo, Alirezazadeh, Saeid, Lima, Tânia M., Soares, Vasco N. G. J., Caldeira, João M. L. P.

“…Precision irrigation and optimization of water use have become essential factors in agriculture because water is critical for crop growth. The proper…”
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Evaluation of a Deep Learning Approach for Predicting the Fraction of Transpirable Soil Water in Vineyards by Alibabaei, Khadijeh, Gaspar, Pedro D., Campos, Rebeca M., Rodrigues, Gonçalo C., Lopes, Carlos M.

“…As agriculture has an increasing impact on the environment, new techniques can help meet future food needs while maintaining or reducing the environmental…”
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Real-Time Image Detection for Edge Devices: A Peach Fruit Detection Application by Assunção, Eduardo, Gaspar, Pedro D., Alibabaei, Khadijeh, Simões, Maria P., Proença, Hugo, Soares, Vasco N. G. J., Caldeira, João M. L. P.

“…Within the scope of precision agriculture, many applications have been developed to support decision making and yield enhancement. Fruit detection has…”
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Real-Time Detection of Vine Trunk for Robot Localization Using Deep Learning Models Developed for Edge TPU Devices by Alibabaei, Khadijeh, Assunção, Eduardo, Gaspar, Pedro D., Soares, Vasco N. G. J., Caldeira, João M. L. P.

“…The concept of the Internet of Things (IoT) in agriculture is associated with the use of high-tech devices such as robots and sensors that are interconnected…”
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Every decidable pseudovariety of abelian groups is completely tame by Alibabaei, Khadijeh

“…It has been shown that the proper, non-locally finite pseudovarieties of abelian groups are not tame with respect to the canonical signature. In this paper, we…”
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Application of Artificial Intelligence Algorithms to Support Decision-Making in Agriculture Activities by Alibabaei, Khadijeh

“…Deep Learning has been successfully applied to image recognition, speech recognition, and natural language processing in recent years. Therefore, there has…”
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Irrigation optimization with a deep reinforcement learning model: Case study on a site in Portugal by Alibabaei, Khadijeh, Gaspar, Pedro D., Assunção, Eduardo, Alirezazadeh, Saeid, Lima, Tânia M.

“…In the field of agriculture, the water used for irrigation should be given special treatment, as it is responsible for a large proportion of total water…”
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On the Profinite Topology on Groups and Tameness of Pseudovarieties of Groups by Alibabaei, Khadijeh

“…This thesis concerns three different problems in group theory and semigroup theory.In the first paper, we show that the wreath product of a finitely generated…”
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Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas by Sáinz-Pardo Díaz, Judith, Castrillo, María, Bartok, Juraj, Cachá, Ignacio Heredia, Ondík, Irina Malkin, Martynovskyi, Ivan, Alibabaei, Khadijeh, Berberi, Lisana, Kozlov, Valentin, López García, Álvaro

“…Abstract The increasing generation of data in different areas of life, such as the environment, highlights the need to explore new techniques for processing…”
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The pseudovariety of all nilpotent groups is tame by Alibabaei, Khadijeh

“…It has been shown that for every prime number $p$, the pseudovariety $\mathsf{G}_p$ of all finite $p$-groups is tame with respect to an implicit signature…”
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Every decidable pseudovariety of abelian groups is completely tame by Alibabaei, Khadijeh

“…It has been shown that the proper, non-locally finite pseudovarieties of abelian groups are not tame with respect to the canonical signature. In this paper, we…”
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Improvement on Extrapolation of Species Abundance Distribution Across Scales from Moments Across Scales by Alirezazadeh, Saeid, Alibabaei, Khadijeh

“…Raw moments are used as a way to estimate species abundance distribution. The almost linear pattern of the log transformation of raw moments across scales…”
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Species Area Relationship (SAR): Pattern Description with Geometrical Approach by Alirezazadeh, Saeid, Alibabaei, Khadijeh, Hubbell, Stephen P

“…Several formulations are describing the pattern of species-area relationship, log-log linear, semi-log linear, among others. These patterns mainly explain the…”
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Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas by Díaz, Judith Sáinz-Pardo, Castrillo, María, Bartok, Juraj, Cachá, Ignacio Heredia, Ondík, Irina Malkin, Martynovskyi, Ivan, Alibabaei, Khadijeh, Berberi, Lisana, Kozlov, Valentin, García, Álvaro López

“…The increasing generation of data in different areas of life, such as the environment, highlights the need to explore new techniques for processing and…”
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Modeling evapotranspiration using Encoder-Decoder Model by Alibabaei, Khadijeh, Gaspar, Pedro D., Lima, Tania M.

“…In recent years, deep learning algorithms successfully applied to develop decision support systems in fields such as medical, bibliometric, and many more. The…”
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