Correlation Between A Disintegrin and Metalloproteinase (ADAM) Family Proteins (8, 10, 17, 22) and Link with Neuroplasticity in Autism Spectrum Disorder [PDF]
Current Issues in Molecular BiologyBackground: Autism spectrum disorder (ASD) is a condition related to neurodevelopment, typically identified by impaired social interactions and repetitive stereotypical behaviors.
Dost Muhammad Halepoto +6 more
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Anthropological lexicon of the Septuagint: turning to spiritualization and rethinking of traditional hebrew semantics [PDF]
Вестник Свято-Филаретовского института, 2022 The article is dedicated to the comparison of anthropological models of the Hebrew Bible and the Greek Bible (Septuagint). Through lexical and theological analysis, the article reveals the correlation of typical anthropological ideas of the Hebrew Bible ...
Zykov Vyacheslav
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The buffered optimization methods for online transfer function identification employed on DEAP actuator [PDF]
Archives of Control Sciences, 2023 Identification plays an important role in relation to control objects and processes as it enables the control system to be properly tuned. The identification methods described in this paper use the Stochastic Gradient Descent algorithms, which have so ...
Jakub Bernat, Jakub Kołota
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Maailma esimesed inimesed – Valgevene ja Eesti etioloogiad [PDF]
Mäetagused, 2021 Belarusian and Estonian mythological and legendary narratives, especially aetiologies, share a number of similar motifs and characters, despite the fact that Estonian and Belarusian belong to different language families and share no common borders ...
Alena Boganeva, Mare Kõiva
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Perbandingan AlexNet dan VGG untuk Pengenalan Ekspresi Wajah pada Dataset Kelas Komputasi Lanjut
Techno.Com, 2022 Pengenalan emosi memainkan peran penting dalam komunikasi yang dapat dikenali dari ekspresi wajah. Terdapat banyak metode yang dapat digunakan untuk mengenali ekspresi wajah secara automatis, seperti convolutional neural network (CNN).
Sri Nurdiati +5 more
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Efficient Behavior Prediction Based on User Events
Journal of Communications Software and Systems, 2021 In 2020 we have witnessed the dawn of machine learning enabled user experience. Now we can predict how users will use an application. Research progressed beyond recommendations, and we are ready to predict user events.
Peter Szabo, Bela Genge
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An Effective Optimization Method for Machine Learning Based on ADAM
Applied Sciences, 2020 A machine is taught by finding the minimum value of the cost function which is induced by learning data. Unfortunately, as the amount of learning increases, the non-liner activation function in the artificial neural network (ANN), the complexity of the ...
Dokkyun Yi, Jaehyun Ahn, Sangmin Ji
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Enhancing Performance of a Deep Neural Network: A Comparative Analysis of Optimization Algorithms
Advances in Distributed Computing and Artificial Intelligence Journal, 2020 Adopting the most suitable optimization algorithm (optimizer) for a Neural Network Model is among the most important ventures in Deep Learning and all classes of Neural Networks. It’s a case of trial and error experimentation.
Noor Fatima
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Classification of pest detection in paddy crop based on transfer learning approach
Acta Agriculturae Scandinavica. Section B, Soil and Plant Science, 2021 Pest recognition in the agriculture field plays a critical issue for the farmers which diminishes economic growth. So far, traditional practices were followed by farmers to increase yield production. Nowadays, researchers execute a deep learning approach
V. Malathi, M. P. Gopinath
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Godišnjak, 2022 The stories of Adam and Eve, which are to be found on the first pages of the Book of Genesis, and especially the narrative about the serpent and the fall of man, belong to one of the most famous biblical texts.
Aleksandar Danilović
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