Results 31 to 40 of about 1,742,315 (338)
Long Short-Term Memory Spatial Transformer Network
Spatial transformer network has been used in a layered form in conjunction with a convolutional network to enable the model to transform data spatially.
Chen, Tianyue, Feng, Shiyang, Sun, Hao
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The Effects of Regular Pilates Exercise on Long-Term and Short-Term Memory of the Elderly [PDF]
In today’s world, the issue of physical and psychological health and well-being of the elderly is one of the most important global concerns. Evidence suggests that physical activity can improve mental and cognitive performance and also play a role in ...
Nayereh Joolaei +2 more
doaj
Location Prediction of Sperm Cells Using Long Short‐Term Memory Networks
Intracytoplasmic sperm injection (ICSI) requires precise selection of a single sperm cell in a dish to be injected into an oocyte. This task is challenging due to high sperm velocity, collision with other sperm cells, and changes in the imaging focus ...
Lioz Noy +5 more
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Tree Memory Networks for Modelling Long-term Temporal Dependencies
In the domain of sequence modelling, Recurrent Neural Networks (RNN) have been capable of achieving impressive results in a variety of application areas including visual question answering, part-of-speech tagging and machine translation.
Denman, Simon +4 more
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Klasifikasi Ekspresi Teks Berbahasa Jawa Menggunakan Algoritma Long Short Term Memory
Bahasa Jawa bisa dikatakan Bahasa yang unik karena bahasa Jawa mempunyai banyak arti meskipun satu kata yang sama tetapi beda daerah. Suku Jawa adalah suku terbesar yaitu 41% atau sekitar 95.217.022 jiwa.
Oddy Virgantara Putra +2 more
doaj +1 more source
Long Short-Term Memory with Dynamic Skip Connections
In recent years, long short-term memory (LSTM) has been successfully used to model sequential data of variable length. However, LSTM can still experience difficulty in capturing long-term dependencies.
Gong, Jingjing +6 more
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Machine Learning-Based Forecasting of Bitcoin Price Movements
In the volatile realm of cryptocurrency markets, this research explores the intricate dance of Bitcoin price dynamics through the lens of machine learning. Employing a multifaceted approach, we harness the power of Long Short-Term Memory (LSTM) networks,
Darko Angelovski +4 more
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Optimization based Long Short Term Memory Network for Protein Structure Prediction
One of the challenging tasks in computational biology is the anticipation of protein secondary structure (PSS) from amino acid sequences. Numerous computational and statistical methods are used for this purpose.
Pravinkumar Sonsare, Gunavathi C.
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Short‐term wind power prediction based on combined long short‐term memory
Wind power is an exceptionally clean source of energy; its rational utilization can fundamentally alleviate the energy, environment, and development problems, especially under the goals of ‘carbon peak’ and ‘carbon neutrality’. A combined short‐term wind
Yuyang Zhao +4 more
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Forecasting Air Quality Indeks Using Long Short Term Memory
Exercise offers significant physical and mental health benefits. However, undetected air pollution can have a negative impact on individual health, especially lung health when doing physical activity in crowded sports venues.
Irfan Wahyu Ramadhani +7 more
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