Results 51 to 60 of about 15,297,754 (301)

A Dual-Staged Attention Based Conversion-Gated Long Short Term Memory for Multivariable Time Series Prediction

IEEE Access, 2022
In multivariate time series modeling, it is necessary to capture short-term mutation and long-term dependence information simultaneously. However, mechanism which can capture short-term change is difficult to be used to grasp long-term dependence ...
Shufang Feng, Yong Feng
doaj   +1 more source

Exercise Capacity, Physical Activity, Fatigue, and Neurocognitive Function in Adult Survivors of Childhood Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess, Gustaf Glavå, Simon Skau, Hans‐Georg Kuhn, Maria Bäck, Marianne Jarfelt   +5 more
wiley   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Glacier Mass Balance Modeling Using a Long Short‐Term Memory Network

Journal of Geophysical Research: Machine Learning and Computation
Glacier mass balance (MB) is a key indicator of climate change and a central driver of glacier evolution, yet most glaciers worldwide lack long‐term in situ measurements.
Marijn van derMeer, Harry Zekollari, Alban Gossard, Kamilla Hauknes Sjursen, Jordi Bolibar, Matthias Huss, Daniel Farinotti   +6 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

SENTRIN- Mesin Catur Berbasis Neural Network Menggunakan Long Short Term memory (LSTM)

Jurnal Teknologi Informasi dan Ilmu Komputer
Catur diperkirakan memiliki sekitar 1043 kemungkinan posisi. Angka tersebut jauh melampaui kemampuan komputasi komputer yang ada saat ini, sehingga mengembangkan sebuah mesin catur dengan mempertimbangkan seluruh kemungkinan posisi dianggap tidak ...
Rafi Indra Fattah, Putra Pandu Adikara, Budi Darma Setiawan   +2 more
doaj   +1 more source

Gesture Action Prediction Based on VMD Composite Neural Network Model [PDF]

Jisuanji kexue
sEMG is often used to predict human intention behavior.It is an unstable,non-periodic and noisy bioelectrical signal,which is easily affected by power frequency interference and environmental interference,so it is difficult to predict it.This paper ...
ZHAO Lian, WU Yangdong, DENG Zhifang, LI Fengshuo, YUAN Qingni, ZHANG Taihua
doaj   +1 more source

Prediction for the Inventory Management Chaotic Complexity System Based on the Deep Neural Network Algorithm

Complexity, 2023
Precise inventory prediction is the key to goods inventory and safety management. Accurate inventory prediction improves enterprises’ production efficiency. It is also essential to control costs and optimize the supply chain’s performance.
Tengfei Lei, Rita Yi Man Li, Nuttapong Jotikastira, Haiyan Fu, Cong Wang   +4 more
doaj   +1 more source

Tikhonov Regularization for Long Short-Term Memory Networks

CoRR, 2017
It is a well-known fact that adding noise to the input data often improves network performance. While the dropout technique may be a cause of memory loss, when it is applied to recurrent connections, Tikhonov regularization, which can be regarded as the training with additive noise, avoids this issue naturally, though it implies regularizer derivation ...
openaire   +2 more sources