Results 81 to 90 of about 8,873 (229)
Certainty of outlier and boundary points processing in data mining
Data certainty is one of the issues in the real-world applications which is caused by unwanted noise in data. Recently, more attentions have been paid to overcome this problem.
Guo, Yanhui +3 more
core +1 more source
AgroDetect‐Smart Plant Pathology From Leaf Images
AgroDetect, a CNN‐based web application, achieves 97% accuracy in diagnosing plant diseases. With a user‐friendly Streamlit interface, it ensures accessibility and outperforms or matches state‐of‐the‐art models, enhancing agricultural disease management through rapid and accurate identification.
Gulivindala Suresh +4 more
wiley +1 more source
A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy speech recognition.
Akbari, Ahmad +2 more
core +1 more source
Pathways to a Sustainable Blue Economy: Exploring Its Barriers in an Emerging Economy
ABSTRACT A sustainable blue economy is primarily intended for responsible consumption of ocean resources, achieving economic growth, and strengthening the overall ecosystem. The roots of the blue economy are embedded in sustainable development, exploiting opportunities for economic welfare and growth, simultaneously focusing on conserving marine health.
Koppiahraj Karuppiah +2 more
wiley +1 more source
Neutrosophic Spherical Cubic Sets [PDF]
In this paper, a new concept of Neutrosophic Spherical Cubic Set (NSCS) is introduced as an amalgamation of sets such as Neutrosophic, Interval valued, cubic and spherical sets.
J. Shalini Tharanya +3 more
doaj +1 more source
In this paper, we redefine the neutrosophic set operations and, by using them, we introduce neutrosophic topology and investigate some related properties such as neutrosophic closure, neutrosophic closure, neutrosophic interior, neutrosophic exterior ...
Serkan Karatas, Cemil Kuru
doaj +1 more source
A Robust, Resilience Machine Learning With a Risk Approach for Project Scheduling
Application of ML for project scheduling. ABSTRACT This study proposes a novel Robust, Resilient, and Risk‐Based approach in Machine Learning (3RML) that emphasizes the application of project scheduling for the first time. A robust stochastic LASSO regression model is proposed to predict project duration. This model seeks to enhance a traditional LASSO
Reza Lotfi +5 more
wiley +1 more source
ABSTRACT This study proposes a novel network architecture called SYnergistic CLosed‐loop Supply Chain Network Design (SYCLSCND), which incorporates antifragility, sustainability, and agility while considering environmental needs, risk, and robustness. Robust Stochastic Optimization (RSO) and weighted value at risk (WVaR) are recommended for coping with
Reza Lotfi +5 more
wiley +1 more source
The Flow chart represents a model for the selection of optimized diagnostic approach for cardio vascular diseases. This novel model follows the concept of computational process incorporated with novel aggregation operators that are more flexible in nature.
M. Ameer +3 more
wiley +1 more source
A new view on neutrosophic matrix [PDF]
In the present paper, we define a new kind of matrix called by a neutrosophic matrix, whose entries are all single-valuedneutrosophic sets. So, we aim to be introduce a convenient tool for the problems, have uncertain inputs. We first give the definition
Banu Pazar Varol +2 more
doaj +1 more source

