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A new educational grading system based on fuzzy techniques
In this article, the authors propose a new educational grading system based on fuzzy techniques, which includes five interrelated modules. Through an...
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A collaborative filtering recommendation method based on emotional evaluation relations
Improving the accuracy of recommendation systems is a hot research topic, and existing methods have not considered the differences in various types...
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An Improved Equilibrium Optimizer for Solving Multi-quay Berth Allocation Problem
The multi-quay berth allocation problem (MQBAP) is an important problem in the planning of seaside operations (POSO) to find the best berthing...
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An integrated soft computing-based criteria interdependencies and intuitionistic fuzzy information to evaluate the urban concrete bridge maintenance models
Given the advances in technology and the development of urban development and progress in people's lifestyles, the use of bridges is considered as an...
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A Practical Approach to Tracking Estimation Using Object Trajectory Linearization
In the field of image processing and machine vision, object tracking is a significant and rapidly develo** subfield. The numerous potential...
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Optimal IMRT treatment planning with prescribed trapezoidal fuzzy target dose
Clinical observations in intensity-modulated radiation therapy (IMRT) planning have suggested that a prescribed target dose in the form of a...
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Optimization of UAV base station placement for D2D content delivery network
In a device-to-device content delivery network (D2D-CDN), user equipment (UE) covered by a base station can forward content received from the base...
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Software based on fuzzy logic for the classification of body mass cattle
The body mass index (BMI) is used by farmers to determine the body condition of animals, either to determine the best moment for slaughter or to...
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Block diagonal representation learning with local invariance for face clustering
Facial data under non-rigid deformation are often assumed lying on a highly non-linear manifold. The conventional subspace clustering methods, such...
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Robustness analysis of smart manufacturing information systems
Robustness plays a vital role in the operation of smart manufacturing information systems (SMISs). This article aims to establish a robust analysis...
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Topic-aware cosine graph convolutional neural network for short text classification
Graph Convolutional Network (GCN) has been extensively studied in the task of short text classification (STC), utilizing global graphs that...
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Intelligent Conceptual Design of Railway Bridge Based on Graph Neural Networks
In the conceptual design stage of railway bridge, the beam type of the bridge at the main control point must be modified repeatedly to satisfy...
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Efficient Heart Disease Classification Through Stacked Ensemble with Optimized Firefly Feature Selection
In the current century, heart-related sickness is one of the important causes of death for all humans. An estimated 17.5 million deaths occur due to...
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A Multiple Environment Available Path Planning Based on an Improved A* Algorithm
The objective of the path planning for a mobile robot is to generate a collision-free path from a starting position to a target position, aiming to...
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Many-Objective Whale Optimization Algorithm for Engineering Design and Large-Scale Many-Objective Optimization Problems
In this paper, a novel Many-Objective Whale Optimization Algorithm (MaOWOA) is proposed to overcome the challenges of large-scale many-objective...
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Optimizing Patient Stratification in Healthcare: A Comparative Analysis of Clustering Algorithms for EHR Data
Advanced data analytics are increasingly being employed in healthcare research to improve patient classification and personalize medicinal therapies....
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The Sum Relation as a Primitive Concept of Mereology
Mereology in its formal guise is usually couched in a language whose signature contains only one primitive binary predicate symbol representing the par...
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A New Game Theoretic Semantics (GTS-2) for Weak Kleene Logics
Hintikka’s game theoretical approach to semantics has been successfully applied also to some non-classical logics. A recent example is Başkent ( A...
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Real-Time Classroom Behavior Analysis for Enhanced Engineering Education: An AI-Assisted Approach
Modern teaching has made significant progress, with many advanced equipment and technologies being introduced into the teaching process. Experimental...
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Multivariate Bayesian Time-Series Model with Multi-temporal Convolution Network for Forecasting Stock Market During COVID-19 Pandemic
The paper proposes a hybrid algorithm for forecasting multiple correlated time-series data, which consists of two main steps. First, it employs a...
