Article
Computer Science, Artificial Intelligence
Tianlin Huang, Rujie Zhao, Lvqing Bi, Defu Zhang, Chao Lu
Summary: The iterative nature of SVD algorithms poses a challenge that is addressed by a proposed efficient initialization method using a neural network to initialize user and item features. Experimental results show that this framework outperforms state-of-the-art methods, especially in rating prediction and item ranking.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Computer Science, Information Systems
Sandeep Kumar Raghuwanshi, Rajesh Kumar Pateriya
Summary: Neighborhood-based Collaborative Filtering techniques have limitations in dealing with scalable and sparse data, hindering the efficiency of recommendation systems. This study introduces a new filtering technique that accelerates Singular Value Decomposition using Stochastic Gradient Descent optimization, resulting in faster convergence of learning parameters and improved classification accuracy.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Mao-Lin Li, Francesco Di Mauro, K. Selcuk Candan, Maria Luisa Sapino
Summary: Matrix factorization is essential for various knowledge discoveries and machine learning tasks, but it faces challenges when dealing with non-scalar data like interval-valued data. Naive methods of dealing with imperfect data may lead to errors in analysis. Factorization techniques are particularly effective when handling a large amount of imprecise information.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2021)
Article
Computer Science, Information Systems
Lina Wei, Xingtu Zhu
Summary: The core idea of semantic recommendation is to incorporate semantic knowledge into the recommendation process. By introducing the collaborative filtering algorithm based on Formal Concept Analysis (FCA), this paper solves the problem of recommendation accuracy in traditional algorithms.
Article
Mathematics
Andrei Tanasescu, Mihai Carabas, Florin Pop, Pantelimon George Popescu
Summary: By refining the method and proving that reordering singular values does not affect performance, this approach has significantly improved speed and scalability, offering surprising results in a real physical cluster setup. This represents a major advancement over standard industry implementations.
Article
Multidisciplinary Sciences
Ning Lan, Shuqun Yang, Ling Yin, Yongbin Gao
Summary: The application of knowledge graphs is limited in some domains due to the high reliability of knowledge required. Traditional knowledge engineering has high correctness but low efficiency, which calls for an organic connection to knowledge graphs. The proposed AIs-KG theory bridges formal concept analysis and knowledge graphs, enhancing knowledge completeness and feasibility.
Article
Computer Science, Artificial Intelligence
Martin Trnecka, Roman Vyjidacek
Summary: This article introduces the basic principles and applications of Boolean matrix factorization (BMF) algorithms GreCon and GreConD, pointing out that GreCon may produce better results than GreConD. Research shows that GreCon has a disadvantage in running time, but by revising the algorithm and proposing new methods, it can compete with contemporary BMF algorithms and even surpass the faster GreConD in some cases.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Information Systems
Kai Xu, Ying Zhang, Zhi Xiong
Summary: Matrix completion method IMC proposed in this paper shows rapid convergence and outperforms some state-of-the-art methods, utilizing iterative rank-one matrix completion via singular value decomposition (SVD) and nuclear norm regularization.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Zhiwei Qi, Kun Yue, Liang Duan, Jiahui Wang, Shaojie Qiao, Xiaodong Fu
Summary: This paper introduces a method of Bayesian network embedding and a random sampling method to improve the efficiency of multiple probabilistic inferences on the same BN. Experimental results demonstrate that the proposed methods are faster than traditional methods in terms of runtime, while maintaining similar inference results.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Mathematics
A. E. Teretenkov
Summary: The algorithm for skew-Takagi factorization is derived based on singular value decomposition. An example application is the computation of Heisenberg evolution of fermionic operators under a quadratic Hamiltonian of special form.
LINEAR & MULTILINEAR ALGEBRA
(2022)
Article
Computer Science, Interdisciplinary Applications
Hua Chen, Sheng Sheng, Chong-Yu Xu, Zhiyu Li, Wen Zhang, Shaowen Wang, Shenglian Guo
Summary: The spatiotemporal estimation method based on F-SVD improves rainfall estimations compared to IDW and OK, especially in cases with larger amounts of rainfall events. Combining with FSVD significantly enhances the accuracy of IDW and OK.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Software Engineering
Xiaotong Li, Karel Adamek, Wes Armour
Summary: This paper presents a Python-based GPU-accelerated software for singular value thresholding (SVT) in matrix completion. The software achieves high accuracy and computational efficiency, and its potential applications are demonstrated through examples of image inpainting and traffic sensing.
Article
Environmental Sciences
Jihong Chen, Hao Chen, Jia Shi, Tao Yan, Miao Gu, Xiutao Huang
Summary: Ship oil spill accidents have a prolonged duration, complex consequences, and pose a significant threat to the environment, economy, and society. This article uses accident databases and a formal concept analysis model to identify key factors such as improper operation, incomplete ship equipment, large tonnage, and poor navigation conditions. Corresponding improvement measures are proposed based on different causal rules of oil spills.
MARINE POLLUTION BULLETIN
(2023)
Article
Computer Science, Hardware & Architecture
Antonio J. Munoz-Montoro, Pablo Revuelta-Sanz, Damian Martinez-Munoz, Juan Torre-Cruz, Jose Ranilla
Summary: This paper proposes a parallel computing method based on non-negative matrix factorization for background denoising and wheezing detection in auscultation. The system uses singular value decomposition for model initialization and novel update rules for multichannel denoising and source separation. The evaluation shows significant improvement in wheezing detection compared to state-of-the-art algorithms in the presence of noisy sound sources. Parallel and high-performance techniques are used to achieve fast execution times.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Wenhui Wu, Junhui Hou, Shiqi Wang, Sam Kwong, Yu Zhou
Summary: In this paper, we propose a semi-supervised adaptive kernel concept factorization (SAKCF) method that integrates data representation and kernel learning and solves the problem using an alternating iterative algorithm. Experimental results demonstrate the effectiveness and advantages of SAKCF over other methods in clustering tasks.
PATTERN RECOGNITION
(2023)
Article
Computer Science, Artificial Intelligence
Sathishkumar Karupusamy, J. Refonaa, Sakthidasan Sankaran, Priyanka Dahiya, Mohd Anul Haq, Anil Kumar
Summary: The development of IoT systems has created higher demands for processing and storage environment, as well as raised issues such as energy consumption and data compression. This article proposes an approach that utilizes data mining to optimize energy usage and compress data, validated through the analysis of driving behavior.
Article
Computer Science, Artificial Intelligence
Selvin Shabu Lilly Pushpam Jany Shabu, Kusum Yadav, Elham Kariri, Kamal Kumar Gola, Mohd AnulHaq, Anil Kumar
Summary: This paper investigates trajectory data query processing and similarity measurement methods in a cloud environment. By extending traditional data processing techniques and leveraging the highly parallel processing capabilities of large clusters in the cloud, a two-phase trajectory similarity measure is proposed. Additionally, new methods for trajectory clustering and query processing are developed, which involve trajectory analysis and evaluation to reduce computational difficulty and workload compared to existing methods.
Article
Automation & Control Systems
J. Refonaa, Dinh Tran Ngoc Huy, Nguyen Dinh Trung, Hoang Van Thuc, Roop Raj, Mohd Anul Haq, Anil Kumar
Summary: Structural engineering is a specialized field that deals with the stability of structures and buildings. Optimization of cost and time is crucial in construction processes. Artificial neural network (ANN) has been developed to handle issues related to cost estimation and optimization, enhancing construction procedures and methodologies using deep learning techniques.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
P. Saini, L. K. Balyan, A. Kumar, G. K. Singh
Summary: This paper presents a comparison scenario of adaptive spectral filtering for resolution of the Gibbs phenomenon. Several spectral filter functions are compared using Chebyshev collocation and Legendre collocation spectral methods, in terms of pointwise and L-2 normed-wise convergence analysis of computed filtered approximations.
SIGNAL IMAGE AND VIDEO PROCESSING
(2023)
Article
Pharmacology & Pharmacy
Radhika T. Krishnakumar, Amrita Asok, Zubair U. Mohamed, Uma D. Padma, Dipu T. Sathyapalan, Merlin Moni, Sabarish Balachandran, Anil Kumar, Rajesh Nair, Surendran Sudhindran, Sanjeev K. Singh
JOURNAL OF PHARMACY PRACTICE
(2023)
Correction
Computer Science, Hardware & Architecture
Priyanka Paliwal, Julian L. Webber, Abolfazl Mehbodniya, Mohd Anul Haq, Anil Kumar, Prem Kumar Chaurasiya
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Computer Science, Information Systems
Himanshu Singh, Anil Kumar, Lokendra K. Balyan
Summary: This paper introduces an image enhancement method based on fractional differintegral based adaptive filtering, which utilizes the advantages of fractional-order differentiation and fractional-order integration for adaptive textural boosting and contrast enhancement. It also proposes a differintegration based fractional-order multi-scale Retinex framework for effective reflectance channel computation. The paper discusses the compatibility of the proposed method with other image pre-processing methods and presents different variants for overall quality improvement.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
B. Sarkar, B. Das, P. K. Sundaram, S. S. Mali, A. P. Anurag, A. Upadhyaya, N. Chandra, B. P. Bhatt, A. Kumar
Summary: This study analyzed the energy input-output and GHG emission in vegetable production in the Chotanagpur plateau region and found that both tomato and okra cultivation were profitable. The study also emphasized the importance of efficient input use in reducing GHG emissions.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Management
Luai Jraisat, Mohannad Jreissat, Arvind Upadhyay, Anil Kumar
Summary: This research explores the integration of Blockchain Technology (BCT) with Reverse Supply Chain Networks (RSCN) and its impact on sustainability performance. A conceptual framework for BCT in RSCN was developed through qualitative research, using primary and secondary data from four case studies in Jordan. The findings highlight the potential of BCT in improving sustainability performance in supply chains.
SUPPLY CHAIN FORUM
(2023)
Review
Engineering, Electrical & Electronic
Geetam Richhariya, Anil Kumar, Akash Kumar Shukla, K. N. Shukla, Bhim Charan Meikap
Summary: Dye-sensitized solar cells (DSSCs) are a cost-effective, easy-to-fabricate, and eco-friendly option among photovoltaic devices. The choice of counter electrode (CE) materials significantly impacts the performance of DSSCs. By exploring economical and stable alternatives to expensive platinum, the efficiency of DSSCs can be improved. This article focuses on various replacements for platinum-based CEs, offering innovative research opportunities in the field of renewable energy.
JOURNAL OF ELECTRONIC MATERIALS
(2023)
Article
Food Science & Technology
Shimpy, Mahesh Kumar, Anil Kumar
Summary: This article provides an overview of solar drying technologies for small rural agricultural farms, focusing on domestic applications. A significant amount of perishable items are wasted annually at the household level due to various reasons. The article reviews and presents natural and forced convection solar dryers, highlighting their temperature and thermal efficiency. Natural convection solar dryers are suitable for rural areas due to their simple design and lower requirements, while forced convection solar dryers offer better performance and faster drying time for high moisture content products. The designs of indirect and mixed-mode solar dryers in domestic applications are rare. Solar dryers have the potential to reduce drying costs by 50% and improve returns by 30%.
FOOD ENGINEERING REVIEWS
(2023)
Article
Computer Science, Hardware & Architecture
Tanveer Ahmad, Xue Jun Li, Aswani Kumar Cherukuri, Ki-Il Kim
Summary: Underwater localization, as an important part of marine study, has attracted widespread attention. Due to the unique challenges of underwater environments, the localization techniques for underwater sensor networks need to be different from those used on land. In this study, we propose a hierarchical localization approach that utilizes both anchor and ordinary nodes for localization, achieving high energy efficiency, precision, and wide coverage.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2023)
Article
Information Science & Library Science
Kay Hooi Keoy, Yung Jing Koh, Javid Iqbal, Shaik Shabana Anjum, Sook Fern Yeo, Aswani Kumar Cherukuri, Wai Yee Teoh, Dayang Aidah Awang Piut
Summary: This study examines the adoption of micro-credentials in Malaysia by Higher Education Providers (HEPs) and identifies challenges faced by HEPs. It proposes a conceptual framework for the successful implementation of micro-credentials within educational institutions. By addressing these recommendations, HEPs can enhance the learning experience, transform higher education, and foster a culture of continuous learning and skill development.
JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT
(2023)
Article
Information Science & Library Science
Choon Ling Kwek, Mary Siew Cheng Lee, Shee Ping Lee, Hwee Ling Siek, Kay Hooi Keoy, Aswani Kumar Cherukuri
Summary: The implementation of movement control order and social distancing measures during the COVID-19 pandemic has led to increased use of information and communication technology. Even with the relaxation of restrictions, people still prefer online meetings through social media due to the potential threats of new COVID-19 cases and the time, money, and effort saved. This research investigates the relationships between attitude, perceived direct benefit, trust, and intention to use social media for virtual events, as well as the role of top management support in moderating the relationship between attitude and intention. The findings show significant support for the direct and indirect relationships between these variables, but no moderating effect of top management support was found.
JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Aswani Kumar Cherukuri, Shria Sannuthi, Neha Elagandula, Rishita Gadamsetty, Neha Singh, Arnav Jain, I. Sumaiya Thaseen, V. Priya, Annapurna Jonnalagadda, Firuz Kamalov
Summary: This study builds upon a peer-to-peer image encryption algorithm and introduces a Key Distribution Center to solve key generation and time-consuming issues.
CYBERNETICS AND INFORMATION TECHNOLOGIES
(2023)
Article
Computer Science, Interdisciplinary Applications
Vitaly Chernik, Pavel Buklemishev
Summary: The paper introduces a simple 2D model for describing the cell motility on a homogeneous isotropic surface. The model incorporates the dynamics of complex actomyosin liquid, which affects the boundary dynamics and cell motility. It consists of a system of equations with a free boundary domain and includes a non-local term. The numerical solution of this model is presented in this work.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Hasan Karjoun, Abdelaziz Beljadid
Summary: In this study, we developed a numerical model based on the depth-averaged shallow water equations to simulate flows through vegetation field. The model takes into account the drag and inertia forces induced by vegetation, using different formulations for the stem drag coefficient. Turbulence induced by vegetation is also considered through the addition of diffusion terms in the momentum equations. The proposed numerical model is validated through numerical simulations and shows good accuracy in simulating overland flows under vegetation effects.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Bechir Naffeti, Hamadi Ammar, Walid Ben Aribi
Summary: This paper proposes a branch and bound multidimensional Holder optimization method, which converts a multivariate objective function into a single variable function and minimizes it using an iterative optimization method. The method is applied to solve a parameters identification problem resulting from the increase in infections, providing information about the prevalence and infection force.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Heba F. Eid, Erik Cuevas, Romany F. Mansour
Summary: The proposed modified Bonobo optimizer algorithm dynamically adjusts the trajectory of each search agent to overcome the flaw of the original algorithm and improve the performance and solution quality by exploring and exploiting different regions of the solution space.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Farshid Mehrdoust, Idin Noorani, Juho Kanniainen
Summary: This paper proposes a Markov-switching model to evaluate the dynamics of commodity futures and spot prices, and introduces a hidden Markov chain to model the sudden jumps in commodity prices. The model is calibrated using the crude oil spot price and estimation-maximization algorithm. The study also evaluates European call options written on crude oil futures under the regime-switching model and derives Greek formulas for risk assessment. The importance of this paper is rated at 8 out of 10.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Rupa Mishra, Tapas Kumar Saha
Summary: This paper presents a control scheme for distributed generation units to operate in stand-alone and grid-connected modes, with a smooth transition between the two. The control strategy includes predictive control for voltage and frequency regulation in stand-alone mode, and power control for symmetrical and unbalanced grid voltage conditions in grid-connected mode. The proposed control method improves power factor, reduces grid current harmonics, and eliminates grid frequency ripple.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Yu Wang, Yang Tian, Yida Guo, Haoping Wang
Summary: This paper proposes a multi-level control strategy for lower limb patient-exoskeleton coupling system (LLPECS) in rehabilitation training based on active torque. The controller consists of three sub-controllers: gait adjustment layer, interaction torque design layer, and trajectory tracking layer. The effectiveness of the proposed control strategy is demonstrated through co-simulations in the SimMechanics environment using an exoskeleton virtual prototype developed in SolidWorks.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Takuji Arai, Yuto Imai
Summary: The Barndorff-Nielsen and Shephard model is a jump-type stochastic volatility model, and this paper proposes two simulation methods for computing option prices under a representative martingale measure. The performance of these methods is evaluated through numerical experiments.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Wanai Li
Summary: This paper proposes a new framework that combines quadrature-based and quadrature-free discontinuous Galerkin methods and applies them to triangular and tetrahedral grids. Four different DG schemes are derived by choosing specific test functions and collocation points, improving computational efficiency and ease of code implementation.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Xiyuan Chen, Qiubao Wang
Summary: This paper introduces a technique that combines dynamical mechanisms and machine learning to reduce dimensionality in high-dimensional complex systems. The method utilizes Hopf bifurcation theory to establish a model paradigm and utilizes machine learning to train location parameters. The effectiveness and robustness of the proposed method are tested and validated through experiments and simulations.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Muhammad Farman, Aqeel Ahmad, Anum Zehra, Kottakkaran Sooppy Nisar, Evren Hincal, Ali Akgul
Summary: Diabetes is a significant public health issue that affects millions of people worldwide. This study proposes a mathematical model to understand the mechanisms of glucose homeostasis, providing valuable insights for diabetes management. The model incorporates fractional operators and analyzes the impact of a new wave of dynamical transmission on equilibrium points, offering a comprehensive understanding of glucose homeostasis.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Gholamreza Shobeyri
Summary: This study introduces two improved Laplacian models for more accurate simulation of free surface flows in the context of the MPS method. The higher accuracy of these models compared to the traditional methods is verified through solving 2D Poisson equations and solving three benchmark free surface flow problems. These models can also resolve the issue of wave damping in the original MPS computations.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Qiang Li, Jinling Liang, Weiqiang Gong, Kai Wang, Jinling Wang
Summary: This paper addresses the problem of nonfragile state estimation for semi-Markovian switching complex-valued networks with time-varying delay. By constructing an event-triggered generator and solving matrix inequalities, less conservative criteria are obtained, and the gains of the nonfragile estimator are explicitly designed. A numerical example is provided to demonstrate the effectiveness of the proposed estimation scheme.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Gengen Zhang, Jingyu Li, Qiong-Ao Huang
Summary: In this paper, a novel class of unconditionally energy stable schemes are constructed for solving gradient flow models by combining the relaxed scalar auxiliary variable (SAV) approach with the linear multistep technique. The proposed schemes achieve second-order temporal accuracy and strictly unconditional energy stability.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Interdisciplinary Applications
S. Clain, J. Figueiredo
Summary: This study proposes a detailed construction of a very high-order polynomial representation and introduces a functional to assess the quality of the reconstruction. Several optimization techniques are implemented and their advantages in terms of accuracy and stability are demonstrated.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
