This part of the paper expands the MSM in the setting of BCFLS and interpret AOs for BCFLNs such as BCFLMSM, BCFLWMSM, BCFLDMSM, and BCFLWDMSM operators. For that, we interpret operations for BCFLNs.
Definition 4
…
Category: 7. Maths
-
Spatiotemporal dynamics and policy impact on farmer suicides in Maharashtra, India
Scott, E. & Sorensen, J. Examining the facets of burden from agricultural injury: Policy implications. New Solut. 1, 10482911241257288 (2024).
Roy, S., Majumder, S., Bose, A. & Chowdhury, I. R….
Continue Reading
-
A precise spatiotemporal fusion crop classification framework based on parcels
Study area
The study area is in the riverside region of Zongyang County, Tongling city, Anhui Province, which is the main winter rapeseed and winter wheat production area, as shown in Fig. 1. Zongyang County covers an area of approximately…
Continue Reading
-
Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI
Brain Tumour diagnosis presents a unique set of challenges, including the need to handle noisy and sparse datasets, ensure reliable and accurate predictions, and provide interpretable outputs for clinical decision-making. Traditional models often…
Continue Reading
-
Estimating motor symptom presence and severity in Parkinson’s disease from wrist accelerometer time series using ROCKET and InceptionTime
We compare the InceptionTime ensemble and ROCKET against a baseline feature-based classifier for estimating the severity or presence/absence of tremors, bradykinesia, and dyskinesia from the patient’s smartwatch.
Data
The dataset is a subset of…
Continue Reading
-
Protein function prediction using GO similarity-based heterogeneous network propagation
Datasets and evaluation metrics
We evaluated our proposed method, GOHPro, alongside six state-of-the-art protein function prediction methods: exp2GO14, GrAPFI-GO13, PHN18, DCS9, NC3, and DeepGo-SE24. This evaluation was conducted on two species,…
Continue Reading
-
Predicting photodegradation rate constants of water pollutants on TiO2 using graph neural network and combined experimental-graph features
Data Preparation
The dataset employed in this study was obtained from a published work by Jiang et al.36. This publicly available dataset contains detailed information on the degradation rate constants of 446 organic contaminants under various…
Continue Reading
-
Consistent, highly throughput and space scalable distributed architecture for layered NoSQL data store
The proposed approach is presented in Fig. 1. The new architecture was developed on the basis of the SD2DS store. This step includes preparing the formal analysis of the store, identification of the inconsistencies, and providing algorithms to…
Continue Reading
-
Analysis of solitary wave behavior under stochastic noise in the generalized schamel equation
The Korteweg-de Vries (KdV) equation, originally introduced in 1895 by Korteweg and de Vries, has emerged as one of the most significant mathematical models employed to characterize wave phenomena across diverse disciplines, especially in the…
Continue Reading
-
Method and application of stability prediction model for rock slope
Algorithm verification
For evaluating the optimization performed by the NRBO algorithm, the authors chose four classical complex nonlinear benchmark functions as test cases for the iterative analysis. The results were compared and analyzed…
Continue Reading