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Predicting Liver Disorders Using an Extreme Learning Machine
Liver diseases are caused by excessive alcohol intake or viral infection. The liver can fail or develop cancer if it is not detected in its early...
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Facilitated Collaborative Group Co-Design of Hypothetical Digital Tools to Understand University Students’ Well-being Support Needs and Requirements
The number of students in higher education encountering issues with their well-being is increasing every year, with many struggling to seek...
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Single Modality and Joint Fusion for Emotion Recognition on RAVDESS Dataset
Over the last decade, emotion recognition has become a widely researched area worth considering in any project related to affective computing. Due to...
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A reliable numerical algorithm mixed with hypergeometric function for analyzing fractional variational problems
The present study aims to introduce a numerical approach based on the hybrid of block-pulse functions (BPFs), Bernoulli polynomials (BPs), and...
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General double-relaxation two-sweep modulus-based matrix splitting iteration methods for horizontal linear complementarity problem
For solving horizontal linear complementarity problem (HLCP), we propose a general double-relaxation two-sweep modulus-based matrix splitting...
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An ensemble and cost-sensitive learning-based root cause diagnosis scheme for wireless networks with spatially imbalanced user data distribution
A novel feature extraction method that can tolerate imbalanced user data is proposed. A cost-sensitive SVM assigns different misclassification costs...
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Student Opinion Mining About Instructor Using Optimized Ensemble Machine Learning Model and Feature Fusion
Reviews given by students are an excellent source of information that can be used to achieve the educational goal of any institution. The information...
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Improving Code Smell Detection by Reducing Dimensionality Using Ensemble Feature Selection and Machine Learning
Code smells negatively impact software maintenance and several mitigation tools and/ or techniques have been devised in the past. However, their...
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Ensemble successor representations for task generalization in offline-to-online reinforcement learning
In reinforcement learning (RL), training a policy from scratch with online experiences can be inefficient because of the difficulties in exploration....
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Adaptive neural network control of a 2-DOF helicopter system considering input constraints and global prescribed performance
In this study, an adaptive neural network (NN) control is proposed for nonlinear two-degree-of-freedom (2-DOF) helicopter systems considering the...
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Towards imbalanced motion: part-decoupling network for video portrait segmentation
Video portrait segmentation (VPS), aiming at segmenting prominent foreground portraits from video frames, has received much attention in recent...
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Reduction Through Homogeneous Clustering: Variations for Categorical Data and Fast Data Reduction
Reduction through Homogeneous Clustering (RHC) and its editing variant (ERHC) represent effective methods for reducing data in the context of...
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A Robust Modified Character Segmentation Approach for the Handwritten Archaic Modi Documents
Character segmentation is an imperative step of intelligent handwritten archaic Modi document recognition system. Numbers of challenges like...
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Co-expression and Data Fusion Analysis of Omics Data for Liver Related Metabolic Diseases
In the proposed work co expression technique is applied to perform data fusion techniques to integrate omics data, understand gene and protein...
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Gossen’s first law in the modeling for demand side management: a thorough heat pump case study with deep learning based partial time series data generation
Gossen’s First Law describes the law of diminishing marginal utility. This paper aims to further verify the proposed hypothesis that Gossen’s First...
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Enhancing BERT-Based Language Model for Multi-label Vulnerability Detection of Smart Contract in Blockchain
Smart contracts are decentralized applications that hold a pivotal role in blockchain-based systems. Smart contracts are composed of error-prone...
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Novel Content Based Image Retrieval—Features of Correlated Visual Textons and MQLPP Descriptor
Content-based image retrieval (CBIR) has made significant advancements and continues to evolve with the rapid development of computer vision and...
