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Distributed Reduced Alphabet Representation for Predicting Proinflammatory Peptides
Peptides have garnered interest as therapeutic agents owing to several beneficial advantages. However, a major downside of peptides as therapeutic...
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Narrator2Vec: An Efficient Narrator Representation in Hadith Literature Using Word Embedding
Our proposed method, Narrator2Vec, uses a novel approach to examine the narrators involved in transmitting Islamic hadith. This method utilizes a...
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Scalable decision fusion algorithm for enabling decentralized computation in distributed, big data clustering problems
In the world of big data, extracting meaningful insights from large and continually growing distributed datasets is a major challenge. Classical...
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Fisher Discriminative Embedding Low-Rank Sparse Representation for Music Genre Classification
This work focuses on a music genre classification method based on a sparse low-rank representation. Sparse low-rank representation is an effective...
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Representation learning of in-degree-based digraph with rich information
Network representation learning aims to map the relationship between network nodes and context nodes to a low-dimensional representation vector...
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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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Runtime verification of partially-synchronous distributed system
This paper focuses on runtime verification of distributed systems in the partial synchronous model, where a clock synchronization algorithm ensures a...
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Nonlinear system identification of a UAV model with distributed aerodynamics and flexible structure
This paper presents the nonlinear system identification of a slightly flexible 25 kg fixed-wing UAV in the time-domain using a computationally...
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Distributed Adaptive Thresholding Graph Recursive Least Squares Algorithm
In this paper, we present a novel approach for the reconstruction of sparse graph signals using a distributed adaptive thresholding recursive least...
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Fault Identification in Distributed Generation System Using Shallow ANN Model
A distributed power system holds distinct advantages over its traditional centralized counterpart. However, when considering protection aspects, the...
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Intelligent representation method of image flatness for cold rolled strip
Real flatness images are the bases for flatness detection based on machine vision of cold rolled strip. The characteristics of a real flatness image...
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FFEINR: flow feature-enhanced implicit neural representation for spatiotemporal super-resolution
Large-scale numerical simulations are capable of generating data up to terabytes or even petabytes. As a promising method of data reduction,...
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Tensor low-rank representation combined with consistency and diversity exploration
In recent years, many tensor data processing methods have been proposed. Tensor low-rank representation (TLRR) is a recently proposed tensor-based...
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Multimodal Learning and Representation
This chapter delves into the concept of multimodal learning and representation, using sentiment analysis as an example and drawing from the IMOECAP...
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Distributed Fuzzy Extended Kalman Filter for Multiagent Systems
In this study, a novel distributed Kalman filter based on a possibilistic framework was proposed to mitigate fuzzy noisein nonlinear multiagent...
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Distributed-order time-fractional wave equations
Distributed-order time-fractional wave equations appear in the modeling of wave propagation in viscoelastic media. The material characteristics of...
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Data-driven flatness intelligent representation method of cold rolled strip
A high-accuracy flatness prediction model is the basis for realizing flatness control. Real flatness is typically reflected as the strain...
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Distributed versus centralized computing of coverage in mobile crowdsensing
The expected spatial coverage of a crowdsensing platform is an important parameter that derives from the mobility data of the crowdsensing platform...
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DOA Estimator for 2D Coherently Distributed Source Via Sparse Representation with Nested Array
Considering two-dimensional (2D) coherently distributed (CD) sources, an estimator under a proposed nested array has been presented in this work. A...
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SQ-SLAM: Monocular Semantic SLAM Based on Superquadric Object Representation
Object SLAM uses additional semantic information to detect and map objects in the scene, in order to improve the system’s perception and map...