Martinez-Martin, N., Dunn, L. B. & Roberts, L. W. AMA J. Ethics 20, E804–811 (2018).
Google Scholar
Pham, K. T., Sheynin, J. & Liberzon, I. in Comprehensive Precision Medicine 1st edn (ed….
Category: 7. Maths
-
Deep learning based SentiNet architecture with hyperparameter optimization for sentiment analysis of customer reviews
This section presents our methodology, including a novel DL architecture for efficient sentiment categorization in online reviews. It addresses the problem and provides an overview of the proposed framework, including the architecture of the…
Continue Reading
-
Rethinking mental illness through a computational lens
Nature Computational Science presents a Focus that explores the field of computational psychiatry and its key challenges, from privacy concerns to the ethical use of artificial intelligence, offering new insights into the future of mental health…
Continue Reading
-
Internet of things enabled indoor activity monitoring for visually impaired people with hybrid deep learning and optimized algorithms for enhanced safety
This paper presents a new IAMVIP-HDLES methodology for an IoT environment. The methodology is designed to monitor and recognize the indoor activities of visually impaired people in real-time. It involves distinct stages, such as data…
Continue Reading
-
A gait recognition architecture for early screening in the assessment of Parkinson’s patients
Dataset
CASIA-B is a classic large-scale multiview gait recognition dataset proposed by the Chinese Academy of Sciences20. It contains gait walking data of 124 different individuals captured from 11 different viewpoints under three walking…
Continue Reading
-
Towards scalable and cross-lingual specialist language models for oncology
Our methodology transforms pretrained language models into specialized oncology tools by integrating instruction tuning, retrieval-augmented generation (RAG), and graph-based knowledge integration. In Figure 1, we illustrate the fine-tuning…
Continue Reading
-
Accurate prediction of green hydrogen production based on solid oxide electrolysis cell via soft computing algorithms
This section describes each of the utilized machine learning algorithms.
Convolutional neural network
CNNs are a type of deep learning model that work particularly well for image-related tasks, including classification, object detection, and…
Continue Reading
-
Real-time defect detection in concrete structures using attention-based deep learning and GPR imaging
Data generation and preprocessing
This study utilized a UAV-mounted GPR system for data generation, as illustrated in Fig. 1. The inspection platform employs a compact quadrotor UAV with an integrated wireless air-coupled radar system
Continue Reading
-
A novel swarm intelligence optimization method for efficient task allocation in industrial wireless sensor networks
We proposed an optimization algorithm based on CECPSO to address the task allocation problem in IWSNs. It is shown in Fig. 2. The algorithm flow is shown in Fig. 3. The algorithm is inspired by the collective foraging behavior of organisms,…
Continue Reading
-
Construction of intelligent decision support systems through integration of retrieval-augmented generation and knowledge graphs
Implementation overview
The Integrated Knowledge-Enhanced Decision Support implementation had to use a careful compromise between theory and engineering constraints. Many architecture iterations gradually appeared that is, we have combined…
Continue Reading