Results 61 to 70 of about 10,214 (201)

Smart Design: Integrating Artificial Intelligence and Gene Editing for Advanced mRNA Therapeutics

MedComm – Biomaterials and Applications, Volume 5, Issue 3, September 2026.
The challenges of mRNA therapy and the application of artificial intelligence and gene editing in the field of mRNA drugs. ABSTRACT Artificial intelligence (AI) and gene editing are increasingly being applied to the design and evaluation of mRNA therapeutics.
Haixing Shi, Shengbin Liu, Danni Dai, Shanhui Jiang, Tingchen Tian, Zhenyi Niu, Zhongzheng Xiang, Chaoyu Zou, Fang Liu, Xue Tang, Xin Jiang, Xiangrong Song   +11 more
wiley   +1 more source

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +1 more source

A Short-Term Wind Power Prediction Method Based on Two-Stage Feature Selection and Improved NRBO-BiLSTM

南方能源建设
[Objective] To address the challenges of excessive feature factors, difficulties in effectively mining the mapping relationship between key features and power, and low prediction accuracy in wind power forecasting, this paper proposes a short-term wind ...
Bo YUAN, Xia ZHOU, Jianfeng DAI, Tengfei ZHANG   +3 more
doaj   +1 more source

Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos, Alexandra Theodoropoulou   +1 more
wiley   +1 more source

International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model

Yuanzineng kexue jishu
International natural uranium price forecasting is vital for nuclear energy industry sustainability. Accurate predictions aid nuclear power enterprises in devising operational strategies and hedging against market volatility, while providing data support
YANG Jingzhe, XUE Xiaogang
doaj   +1 more source

MSPCIFormer: A Multi‐Scale Patching Channel‐Independent Transformer for Cryptocurrency Price Forecasting

Expert Systems, Volume 43, Issue 9, September 2026.
ABSTRACT Forecasting cryptocurrency prices remains challenging due to extreme volatility, regime‐dependent dynamics, and unstable cross‐asset correlations. Statistical methods such as ARIMA and GARCH assume stationarity and linear dependence structures, making them inadequate for capturing non‐linear temporal patterns in high volatile cryptocurrency ...
Huali Zhao, Martin Crane, Marija Bezbradica   +2 more
wiley   +1 more source

Fault detection and diagnosis of electric vehicle battery pack combining neural network and CRDAN algorithm

International Journal of Metrology and Quality Engineering
With the widespread use of electric vehicles, higher standards for battery pack safety and reliability have emerged, making fault detection and diagnosis essential for stable operation.
Wu Lichao
doaj   +1 more source

Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?

Journal of Economic Surveys, Volume 40, Issue 4, Page 1854-1873, September 2026.
ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro, Pilar Giráldez‐Puig, Pedro R. Palos‐Sánchez, Zbigniew Korzeb   +3 more
wiley   +1 more source

A Lightweight and Erudite Automated BiLSTM‐Based Multi‐Cycle GAN for Retinal Blood Vessel and Optic Disc Segmentation in Fundus Images

Engineering Reports, Volume 8, Issue 8, August 2026.
This graphical abstract presents a lightweight and automated BiLSTM‐based Multi‐Cycle GAN framework for retinal blood vessel and optic disc segmentation in fundus images. Initially, fundus images undergo preprocessing, including green channel extraction, denoising, resizing, and dataset splitting.
Rasmita Kumari Mohanty, Amaravarapu Pramod Kumar, Yuvaraju Macha, Agraharam Siva Kumar, J. Srinivas, G. Shyama Chandra Prasad, Rajesh Kumar Verma, Shashi Kant   +7 more
wiley   +1 more source

Research Progress of Multimodal Named Entity Recognition [PDF]

Zhengzhou Daxue xuebao. Gongxue ban
In order to solve the problems in studies of multimodal named entity recognition, such as the lack of text feature semantics, the lack of visual feature semantics, and the difficulty of graphic feature fusion, a series of multimodal named entity ...
WANG Hairong, XU Xi, WANG Tong, JING Boxiang   +3 more
doaj   +1 more source