Results 11 to 20 of about 1,304 (68)
Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method
IET Networks, Accepted Article., 2022 This research uses big data technology to combine the process of product innovation design method, which has certain significance for the formation of intelligent and systematic product innovation design method. Meanwhile, while predicting the results of all products innovative design methods, it can improve the product's predictive innovative design ...
Ren Li, Qiang Zeng
wiley +1 more source
Smart Healthcare: The Role of Digital Health in Modern Medicine. [PDF]
Health Care SciImplementation of Digital Health. Innovations in Digital Health. Challenges in Digital Health. ABSTRACT Digital health is transforming healthcare by integrating advanced technologies to make healthcare more accessible, efficient, and personalized. From electronic health records, telemedicine, wearable devices, and artificial intelligence to the recent ...
Shapoo N, Shapoo N, Rehman A, Boma N.
europepmc +2 more sources
A Systematic Overview of Caching Mechanisms to Improve Hadoop Performance
Concurrency and Computation: Practice and Experience, Volume 37, Issue 25-26, 30 November 2025.ABSTRACT In today's distributed computing environments, the rapid generation of large‐scale data from diverse sources poses significant challenges in terms of storage, management, and processing, particularly for traditional relational databases. Hadoop has emerged as a widely adopted framework for handling such data through parallel processing across ...
Rana Ghazali, Douglas G. Down
wiley +1 more source
A post‐translocation genetic analysis of an endemic wingless grasshopper in urban environments
Conservation Science and Practice, Volume 7, Issue 10, October 2025.Translocations are increasingly used in conservation, yet invertebrate outcomes remain understudied. This study assessed genetic diversity in a recently translocated flightless grasshopper (Vandiemenella viatica), finding declines in heterozygosity and nucleotide diversity, alongside increased homozygosity in the F2 generation.
Hiromi Yagui +3 more
wiley +1 more source
Co‐DeepNet: A Cooperative Convolutional Neural Network for DNA Methylation‐Based Age Prediction
CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1118-1134, August 2025.ABSTRACT Prediction of the age of each individual is possible using the changing pattern of DNA methylation with age. In this paper an age prediction approach to work out multivariate regression problems using DNA methylation data is developed. In this research study a convolutional neural network (CNN)‐based model optimised by the genetic algorithm ...
Najmeh Sadat Jaddi +6 more
wiley +1 more source
Journal of Oral Rehabilitation, Volume 52, Issue 8, Page 1193-1219, August 2025.ABSTRACT Background Artificial intelligence (AI) and various subunits of AI such as artificial neural networks (ANN), Convolutional neural networks (CNNs), machine learning (ML), deep learning (DL) and deep neural networks (DNN) are being tried to diagnose and plan treatment for periodontal diseases.
Rupanjan Roy +3 more
wiley +1 more source
PROTEOMICS, Volume 25, Issue 11-12, June 2025.ABSTRACT The integration of big data into nephrology research will open new avenues for analyzing and understanding complex biological datasets, driving advances in personalized management of kidney diseases. This paper describes the multifaceted challenges and opportunities by incorporating big data in nephrology, emphasizing the importance of data ...
Riste Stojanov +12 more
wiley +1 more source
Software: Practice and Experience, Volume 55, Issue 6, Page 1041-1058, June 2025.ABSTRACT Background Cloud Computing has established itself as an efficient and cost‐effective paradigm for the execution of web‐based applications, and scientific workloads, that need elasticity and on‐demand scalability capabilities. However, the evaluation of novel resource provisioning and management techniques is a major challenge due to the ...
Remo Andreoli +3 more
wiley +1 more source
Clustering‐based recommendation method with enhanced grasshopper optimisation algorithm
CAAI Transactions on Intelligence Technology, Volume 10, Issue 2, Page 494-509, April 2025.Abstract In the era of big data, personalised recommendation systems are essential for enhancing user engagement and driving business growth. However, traditional recommendation algorithms, such as collaborative filtering, face significant challenges due to data sparsity, algorithm scalability, and the difficulty of adapting to dynamic user preferences.
Zihao Zhao +9 more
wiley +1 more source
Autonomous Intelligent Monitoring of Photovoltaic Systems: An In‐Depth Multidisciplinary Review
Progress in Photovoltaics: Research and Applications, Volume 33, Issue 3, Page 381-409, March 2025.This article examines the autonomous monitoring and analysis of PV plants, highlighting key barriers and research directions for smart monitoring of PV systems. The discussed topics cover UAV choice and related standards, camera varieties, AI applications in monitoring, datasets, and data enhancement methods, as well as data exchange between UAVs and ...
M. Aghaei +12 more
wiley +1 more source