Results 51 to 60 of about 27,643 (149)

Deep Learning and Machine Learning Insights Into the Global Economic Drivers of the Bitcoin Price

Journal of Forecasting, EarlyView.
ABSTRACT This study examines the connection between Bitcoin and global factors, including the VIX, the oil price, the US dollar index, the gold price, and interest rates estimated using the Federal funds rate and treasury securities rate, for forecasting analysis.
Nezir Köse, Yunus Emre Gür, Emre Ünal   +2 more
wiley   +1 more source

Energy Sources and Thermal Management Technologies for Electric Vehicle Batteries: A Technical Review

Global Challenges, EarlyView.
Overview of Battery Thermal Management System (BTMS) methods, including air, liquid, cold plate, and hybrid cooling strategies—highlighting direct/indirect liquid techniques and hybrid integrations like PCM, refrigerant, and heat pipe systems. Abstract Efficient thermal management of high‐power lithium‐ion batteries (LiBs) is critical for ensuring ...
Md Atiqur Rahman, Gurrala Mohith Venu Reddy, Rajeshwari Chatterjee, Soumili Hait, S. M. Mozammil Hasnain, Prabhu Paramasivam, Leliso Hobicho Dabelo   +6 more
wiley   +1 more source

A Learning Model with Memory in the Financial Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT Learning is central to a financial agent's aspiration to gain persistent strategic advantage in asset value maximisation. The implicit mechanism that transforms this aspiration into an observed value gain is the speed of error corrections (demonstrating, an agent's speed of learning) whilst facing increased uncertainty.
Shikta Singh, Supun Chandrasena, Yue Shi, Abdullah Alhussaini, Claude Diebolt, Martin Enilov, Tapas Mishra   +6 more
wiley   +1 more source

Deep Learning for Bond Yield Forecasting: The LSTM‐LagLasso

International Journal of Finance &Economics, EarlyView.
ABSTRACT We present long short‐term memory (LSTM)‐LagLasso, a novel explainable deep learning approach applied to bond yield forecasting. Our method involves feature selection from a large universe of potential features and forecasts bond yields using dynamic LSTM networks.
Manuel Nunes, Enrico Gerding, Frank McGroarty, Mahesan Niranjan, Georgios Sermpinis   +4 more
wiley   +1 more source

Characteristics of longitudinal maternal health studies in sub‐Saharan Africa: A systematic mapping of literature between 2012 and 2022

International Journal of Gynecology &Obstetrics, Volume 169, Issue 1, Page 51-62, April 2025.
Abstract Background High maternal mortality rates in sub‐Saharan Africa necessitate the need for aligned research focusing on prevalent causes and neglected conditions in the region. Objective This mapping review aimed to describe the characteristics of longitudinal maternal health studies between 2012 and 2022 in sub‐Saharan Africa and identify gaps ...
Ijeoma Solarin, Cherlynn Dumbura, Darshnika Pemi Lakhoo, Kshama Chande, Gloria Maimela, Stanley Luchters, Matthew Chersich, for the HE2AT Center   +7 more
wiley   +1 more source

High quality large‐scale nickel‐rich layered oxides precursor co‐precipitation via domain adaptation‐based machine learning

InfoMat, EarlyView.
This work pioneers an AI‐driven defect prediction system and optimized scheduling to enhance the stability of nickel‐rich layered oxide precursors, enabling large‐scale production. With an 83% capacity retention after 500 cycles and exceptional sphericity, it sets a new benchmark for the stable, high‐yield synthesis of advanced lithium‐ion battery ...
Junyoung Seo, Taekyeong Kim, Kisung You, Youngmin Moon, Jina Bang, Waunsoo Kim, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

Applications of artificial intelligence‐driven microfluidics in medical laboratory science

Interdisciplinary Medicine, EarlyView.
The advancements in microfluidics and artificial intelligence are transforming the landscape of Medical Laboratory Science. This article systematically reviews the approaches and applications of AI‐driven microfluidics for analyzing cells, bacteria, nucleic acids, proteins, viruses, and cancer, while also addressing current challenges and proposing ...
Qingyang Jiang, Qiaohui Mo, Chenchen Ge, Wangjing Li, Jingwen Mai, Yao Chen, Ying Liu, Xiaoyan Deng, Zifeng Yang, Dou Wang   +9 more
wiley   +1 more source

Natural Language Processing for Chest X‐Ray Reports in the Transformer Era: BERT‐Like Encoders for Comprehension and GPT‐Like Decoders for Generation

iRADIOLOGY, EarlyView.
We conducted a comprehensive literature search in PubMed to illustrate the current landscape of transformer‐based tools from the perspective of transformer's two integral components: encoder exemplified by BERT and decoder characterized by GPT.
Han Yuan
wiley   +1 more source

Sensing Dog Brain Reactions to Smell by AI Speckle Pattern Analysis

Journal of Biophotonics, EarlyView.
The setup of our experiment is shown on Labrador, Johny, a canine participant of our research. The schematic of the setup features: green laser, digital camera, source of smell, and computer. Regions of the brain that were tested are highlighted. Note that the hippocampus and amygdala are on both sides of the dog's brain.
Ilana Propp, Marianna Beiderman, Sergey Agdarov, Yafim Beiderman, Maxi Blum, Zeev Zalevsky   +5 more
wiley   +1 more source

A Novel Approach to Sequential Organ Failure Assessment (SOFA) Using Near‐Infrared Spectroscopy in Extracorporeal Membrane Oxygenation (ECMO) Patients

Journal of Biophotonics, EarlyView.
This study utilized near‐infrared spectroscopy to monitor real‐time blood oxygen changes in the lower limb microcirculation of ECMO patients and performed disease severity classification based on this information. The classification models demonstrated strong predictive performance in both VV‐ECMO and VA‐ECMO patients.
Chia‐Wei Sun, Chun‐Yeh Wang, Yu‐Han Zheng, Yi‐Min Wang, Hsiao‐Huang Chang   +4 more
wiley   +1 more source