Results 31 to 40 of about 707,608 (244)

A Novel Hybrid Model (EMD-TI-LSTM) for Enhanced Financial Forecasting with Machine Learning

Mathematics
Financial forecasting involves predicting the future financial states and performance of companies and investors. Recent technological advancements have demonstrated that machine learning-based models can outperform traditional financial forecasting ...
Olcay Ozupek, Reyat Yilmaz, Bita Ghasemkhani, Derya Birant, Recep Alp Kut   +4 more
doaj   +1 more source

Potential Early Risk Biomarkers for Reduced Forced Expiratory Volume in Children Post‐Hematopoietic Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small, Pi Chun Cheng, April L. Rahrig, Courtney M. Rowan   +3 more
wiley   +1 more source

Comparison of LSTM Model Performance with Classical Regression in Predicting Gaming Laptop Prices in Indonesia

Journal of Applied Informatics and Computing
The demand for gaming laptops has surged in the digital era, appealing to both professional gamers and the general public. Gaming laptops come equipped with advanced features such as powerful graphics, fast processors, and sleek designs, offering a ...
Agus Dewantoro, Theopilus Bayu Sasongko
doaj   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Bitcoin Price Prediction

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: In this paper, we have proposed to predict the value of Bitcoin accurately considering the various parameters that affect the value of Bitcoin. Collecting information from various references and using papers in real time, I discovered the advantages and disadvantages of predicting the price of Bitcoin.
Zubair, Mohammed, Haseeb, Mohammed Abdul, Muzammil, Mohammed, Gopu Kavitha   +3 more
openaire   +2 more sources

Robust Portfolio Optimization using LSTM-based Stock and Cryptocurrency Price Prediction: An Application of Algorithmic Trading Strategies [PDF]

Iranian Journal of Accounting, Auditing & Finance
Algorithmic trading (AT) has become widely used recently because of its high speed and accuracy in implementing diverse and complex strategies. Using algorithms also allows traders to execute their trading strategies in a high volume and numerous ...
Mehrdad Heydarpour, Hossein Ghanbari, Emran Mohammadi, Saeed Shavvalpour   +3 more
doaj   +1 more source

Improving Short-Term Electricity Price Forecasting Using Day-Ahead LMP with ARIMA Models

, 2018
Short-term electricity price forecasting has become important for demand side management and power generation scheduling. Especially as the electricity market becomes more competitive, a more accurate price prediction than the day-ahead locational ...
Miller, Carol, Nokleby, Matthew, Wang, Caisheng, Zhao, Zhongyang   +3 more
core   +1 more source

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis, Shauna R. Campbell, Jonathan Jang, Eashwar Somasundaram, Chandana A. Reddy, Jacob G. Scott, Lilyana Angelov, Peter M. Anderson, Matteo Trucco, Zachary Burke, Lukas Nystrom, Nathan Mesko, Anthony Magnelli, Erin S. Murphy   +13 more
wiley   +1 more source

Improving agricultural commodity allocation and market regulation: a novel hybrid model based on dual decomposition and enhanced BiLSTM for price prediction

Frontiers in Sustainable Food Systems
As an essential part of daily life, the drastic fluctuations in agricultural commodity prices significantly impact producers’ motivation and consumers’ quality of life, further exacerbating market uncertainty and unsustainability.
Lihua Zhang, Fushun Wang, Fushun Wang, Kejian Wang, Kejian Wang, Zhenxue He, Zhenxue He, Chen Chen, Chen Chen, Jiahao Liu, Jiahao Liu, Chao Wang, Chao Wang, Zhe Wang   +13 more
doaj   +1 more source

Applying Artificial Intelligence in Cryptocurrency Markets: A Survey

Algorithms, 2022
The total capital in cryptocurrency markets is around two trillion dollars in 2022, which is almost the same as Apple’s market capitalisation at the same time.
Rasoul Amirzadeh, Asef Nazari, Dhananjay Thiruvady   +2 more
doaj   +1 more source