Time Series Temperature Forecasting by using ConvLSTM Approach, Case Study in Jakarta
Climate change has occurred in several countries, especially in tropical countries such as Indonesia. It causes extreme temperature changes in several Indonesian areas, especially Jakarta, one of the world's most populated cities.
Faishal Rasyid, Didit Adytia Adytia
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Classification Based on Machine Learning Methods for Identification of Image Matching Achievements
The random noise signal is widely used as a test signal to identify a physical or biological system. In particular, the Gaussian distributed white noise signal (Gaussian White Noise) is popularly used to simulate environmental noise in telecommunications
Dewi Astria Faroek +2 more
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Tehnici bazate pe Machine Learning pentru îmbunătățirea depistării cancerului de sân [PDF]
Breast cancer is one the most common types of cancer diagnosed in women and the second leading cause of cancer mortality after lung cancer. The diagnostic and prediction of the cancer development are realized, nowadays, using different techniques based
Elena-Anca PARASCHIV, Elena OVREIU
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The quality of groundwater in the source area of pollution depends on many factors, including the weather and hydrogeological conditions within the given area. Anassessment of water quality can be carried out based on data obtained from sensors placed in
Dąbrowska Dominika +2 more
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In this study, we analyze the formation process of the collection that Florentino Ameghino presented to the occidental world at the Universal Exposition, which took place in Paris in 1878 and from which he materially supported his theory regarding the ...
Carola Castiñeira Latorre +1 more
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Background: Cardiovascular abnormalities are highly prevalent among candidates for kidney transplantation and significantly affect post-transplant outcomes.
Mustafa Tunahan Öz +4 more
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Assessing the Capability of Adaptive Neuro Fuzzy Interference System (ANFIS) in Estimating the Amount of Suspended Sediment Load and its Comparison with Two Models of Artificial Neutral Fuzzy Inference System Case study: Zarine rood, South east basin of Urmia Lake [PDF]
Load sediment transport in rivers is important according to their role in pollution, Reservoir filling, hydroelectric equipment life, Fish and other hydrological issues.
Alimohamad Khorshiddoost +2 more
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Enhancing roll-damping predictions: A novel approach with LWM and AGM validation [PDF]
Roll damping is a central stability concern for large maritime vessels, especially LNG carriers and FPSOs fitted with large spherical tanks, where liquid sloshing can intensify motions.
Nazarizadeh K.
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dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
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A network analysis of early arthropod evolution and the potential of the primitive
It is often thought that the primitive is simpler, and that the complex is generated from the simple by some process of self-assembly or self-organization, which ultimately consists of the spontaneous and fortuitous collision of elementary units.
Agustín Ostachuk
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