Results 61 to 70 of about 10,139 (146)

A Hybrid Brain Stroke Prediction Framework: Integrating Feature Selection, Classification, and Hyperparameter Optimization

Engineering Reports, Volume 7, Issue 7, July 2025.
Stroke is a significant health issue that requires prompt and accurate prediction for optimal treatment and prevention. This study introduced a hybrid system that utilizes the optimal feature selection method and classifier for stroke prediction. This study used the Kaggle Stroke Prediction dataset.
Mohammad Amin, Khalid M. O. Nahar, Hasan Gharaibeh, Rabia Emhamed Al Mamlook, Ahmad Nasayreh, Nesrine Atitallah, Ali Gharaibeh, Raneem Hamad, Raed Abu Zitar, Aseel Smerat, Laith Abualigah   +10 more
wiley   +1 more source

Key attributes of health and environmental risk decision‐making: A scoping review

Risk Analysis, Volume 45, Issue 7, Page 1926-1939, July 2025.
Abstract Government agencies, international institutions, and independent experts have published approaches for the assessment and management of health and environmental risks. This includes evidence‐based strategies and publications supporting risk decision‐making frameworks reflecting contemporary practices, the overarching context, and governance ...
Yadvinder Bhuller, Xaand Bancroft, Raywat Deonandan, Agnes Grudniewicz, Anne Wiles, Daniel Krewski   +5 more
wiley   +1 more source

Induced aggregation operators in decision making with the Dempster-Shafer belief structure [PDF]

We study the induced aggregation operators. The analysis begins with a revision of some basic concepts such as the induced ordered weighted averaging (IOWA) operator and the induced ordered weighted geometric (IOWG) operator.
Jose M. Merigo Lindahl, Montserrat Casanovas Ramon   +1 more
core   +1 more source

Guidance on the use of read‐across for chemical safety assessment in food and feed

EFSA Journal, Volume 23, Issue 7, July 2025.
Abstract Read‐across is a method used in chemical risk assessment to predict the toxicological properties of a target substance by using data from structurally and mechanistically similar substances, known as source substances. EFSA's Scientific Committee has developed an approach for using read‐across in food and feed risk assessment.
EFSA Scientific Committee, Susanne Hougaard Bennekou, Ana Allende, Angela Bearth, Josep Casacuberta, Laurence Castle, Tamara Coja, Amélie Crépet, Thorhallur Halldorsson, Laurentius (Ron) Hoogenboom, Pikka Jokelainen, Helle Knutsen, Konstantinos Koutsoumanis, Claude Lambré, Søren Nielsen, Dominique Turck, Antonio Vicent Civera, Roberto Edoardo Villa, Holger Zorn, Emilio Benfenati, Romualdo Benigni, Qasim Chaudhry, Lucian Farcal, George Kass, Alexis Nathanail, Alicia Paini, Rositsa Serafimova   +26 more
wiley   +1 more source

Analysis of the Utilization of Machine Learning to Map Flood Susceptibility

Journal of Flood Risk Management, Volume 18, Issue 2, June 2025.
ABSTRACT This article provides an analysis of the utilization of Machine Learning (ML) models in Flood Susceptibility Mapping (FSM), based on selected publications from the past decade (2013–2023). Recognizing the challenge that some stages of ML modeling inherently rely on experience or trial‐and‐error approaches, this work aims at establishing a ...
Ali Pourzangbar, Peter Oberle, Andreas Kron, Mário J. Franca   +3 more
wiley   +1 more source

A K‐Net‐based deep learning framework for automatic rock quality designation estimation

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 16, Page 2287-2303, 30 June 2025.
Abstract Rock quality designation (RQD) plays a crucial role in the design and analysis of rock engineering. The traditional method of measuring RQD relies on manual logging by geologists, which is often labor‐intensive and time‐consuming. Thus, this study presents an autonomous framework for expeditious RQD estimation based on two‐dimensional corebox ...
Sihao Yu, Louis Ngai Yuen Wong
wiley   +1 more source

A Novel Failure Mode and Effects Analysis Model Using Triangular Distribution-Based Basic Probability Assignment in the Evidence Theory

IEEE Access, 2020
Failure mode and effects analysis (FMEA) is a typical risk assessment and prevention technology, in which different experts provide different assessments on the target system to identify the risk grades of its components.
Haixia Zheng, Yongchuan Tang
doaj   +1 more source

Perspectives on water quality analysis emphasizing indexing, modeling, and application of artificial intelligence for comparison and trend forecasting

River, Volume 4, Issue 2, Page 265-286, May 2025.
Abstract Freshwater essential for civilization faces risk from untreated effluents discharged by industries, agriculture, urban areas, and other sources. Increasing demand and abstraction of freshwater deteriorate the pollution scenario more. Hence, water quality analysis (WQA) is an important task for researchers and policymakers to maintain ...
Rijurekha Dasgupta, Subhasish Das, Gourab Banerjee, Asis Mazumdar   +3 more
wiley   +1 more source

D-S Evidence Fusion Method Based on High Conflict Correction [PDF]

Jisuanji gongcheng, 2018
Before using D-S(Dempster-Shafer) theory for evidence fusion,the extent of the conflict among evidences should be determined.Aiming at this problem,this paper proposes a conflict measure and correction method based on trust degree and false degree.It ...
MENG Yuanyuan,XU Liancheng,REN Min,WANG Yanfei
doaj  

A Novel Method for Intelligent Single Fault Detection of Bearings Using SAE and Improved D–S Evidence Theory

Entropy, 2019
In order to realize single fault detection (SFD) from the multi-fault coupling bearing data and further research on the multi-fault situation of bearings, this paper proposes a method based on features self-extraction of a Sparse Auto-Encoder (SAE) and ...
Jianguang Lu, Huan Zhang, Xianghong Tang
doaj   +1 more source