High-dimensional and incomplete(HDI) matrices are primarily generated in all kinds of big-data-related practical applications. A latent factor analysis(LFA) model is capable of conducting efficient representation lear...
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High-dimensional and incomplete(HDI) matrices are primarily generated in all kinds of big-data-related practical applications. A latent factor analysis(LFA) model is capable of conducting efficient representation learning to an HDI matrix,whose hyper-parameter adaptation can be implemented through a particle swarm optimizer(PSO) to meet scalable ***, conventional PSO is limited by its premature issues,which leads to the accuracy loss of a resultant LFA model. To address this thorny issue, this study merges the information of each particle's state migration into its evolution process following the principle of a generalized momentum method for improving its search ability, thereby building a state-migration particle swarm optimizer(SPSO), whose theoretical convergence is rigorously proved in this study. It is then incorporated into an LFA model for implementing efficient hyper-parameter adaptation without accuracy loss. Experiments on six HDI matrices indicate that an SPSO-incorporated LFA model outperforms state-of-the-art LFA models in terms of prediction accuracy for missing data of an HDI matrix with competitive computational ***, SPSO's use ensures efficient and reliable hyper-parameter adaptation in an LFA model, thus ensuring practicality and accurate representation learning for HDI matrices.
Distance and size estimation of objects of interests is an inevitable task for many navigation and obstacle avoidance algorithms mainly used in autonomus and robotic systems. Stereo vision systems, inspired by human v...
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Non-Orthogonal Multiple Access(NOMA)has already proven to be an effective multiple access scheme for5th Generation(5G)wireless *** provides improved performance in terms of system throughput,spectral efficiency,fairne...
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Non-Orthogonal Multiple Access(NOMA)has already proven to be an effective multiple access scheme for5th Generation(5G)wireless *** provides improved performance in terms of system throughput,spectral efficiency,fairness,and energy efficiency(EE).However,in conventional NOMA networks,performance degradation still exists because of the stochastic behavior of wireless *** combat this challenge,the concept of Intelligent Reflecting Surface(IRS)has risen to prominence as a low-cost intelligent solution for Beyond 5G(B5G)*** this paper,a modeling primer based on the integration of these two cutting-edge technologies,i.e.,IRS and NOMA,for B5G wireless networks is *** in-depth comparative analysis of IRS-assisted Power Domain(PD)-NOMA networks is provided through 3-fold ***,a primer is presented on the system architecture of IRS-enabled multiple-configuration PD-NOMA systems,and parallels are drawn with conventional network configurations,i.e.,conventional NOMA,Orthogonal Multiple Access(OMA),and IRS-assisted OMA *** by this,a comparative analysis of these network configurations is showcased in terms of significant performance metrics,namely,individual users'achievable rate,sum rate,ergodic rate,EE,and outage ***,for multi-antenna IRS-enabled NOMA networks,we exploit the active Beamforming(BF)technique by employing a greedy algorithm using a state-of-the-art branch-reduceand-bound(BRB)*** optimality of the BRB algorithm is presented by comparing it with benchmark BF techniques,i.e.,minimum-mean-square-error,zero-forcing-BF,and ***,we present an outlook on future envisioned NOMA networks,aided by IRSs,i.e.,with a variety of potential applications for 6G wireless *** work presents a generic performance assessment toolkit for wireless networks,focusing on IRS-assisted NOMA *** comparative analysis provides a solid foundation for the dev
The traveling salesman problem (TSP) is a frequently studied problem by researchers today and belongs to the class of combinatorial optimization problems. It can be used to solve many current world problems such as sc...
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Cloud computing is one of the newest computing paradigms that emerged after worldwide development of Internet infrastructure. It is a technology that saves both large companies and small and medium scale companies as ...
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The Internet of Medical Things (IoMT) brings advanced patient monitoring and predictive analytics to healthcare but also raises cybersecurity and data privacy issues. This paper introduces a deep-learning model for Io...
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Career is important in everyone’s life. If sleep is factored out, work is almost half of one’s life. So if people’s job is something they hate or are indifferent to, that means that about half of their lives they e...
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Career is important in everyone’s life. If sleep is factored out, work is almost half of one’s life. So if people’s job is something they hate or are indifferent to, that means that about half of their lives they either hate or are indifferent. Which causes different unhealthy habits such as eating too much, alcohol and drug usage, watching television, having depression, or being quick to anger. However, people having the right career that is compatible with who they are will make them energetic, positive and will also make their lives better outside of work. On the other hand, the job market is undergoing tremendous change as technology rapidly transforms every industry. In a world where everything is constantly evolving, choosing the right career can be a real challenge, and career indecision arises when someone is faced with difficulties in making a career decision, making the challenge more demanding. There is a wealth of career choice software available, each rely on a corresponding career theory such as RAISEC. These software apply the prepared questionnaires to individuals for appropriate careers. Questionnaires measure individuals’ interests, talents and skills, values, personality, and education and training, which are highly influenced by social factors, prior experiences, self-perceptions, intrinsic or personal utility values, or good salaries. Nowadays, information technologies affect almost every aspect of our daily lives, change the perspectives of individuals on many concepts, and make the world a small village that kind of facilitates communication. Online Social Networks(OSNs) bring people in different professions together to exchange thoughts, they use OSNs to express themselves, discuss interests, connect with friends, and advance their careers. Also, OSNs connect individuals with similar interests. Herein, motivated by RAISEC, it was examined whether OSNs could be utilized to help individuals make career choices. Tweets from four individuals with
Cardiovascular diseases (CVDs) are the first cause of death around the world. High-accuracy heart disease classification can support the decisions about the patients of the doctors and increase the success of the trea...
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The segmentation of the iris is crucial and holds great importance within the medical image recognition area. Researchers have introduced many architectures and applied them to iris image segmentation, However, they a...
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This research work focuses on food recognition, especially, the identification of the ingredients from food images. Here, the developed model includes two stages namely: 1) feature extraction;2) classification. Initia...
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