A Mixed Project-and-Stock Portfolio Optimization Model with Mean-SemiVariance-SemiEntropy Approach by Amirhosein Khayyatian, Majid Shakhsi-Niaei

“…Finally, the optimization problem has been solved using three metaheuristic algorithms: Genetic Algorithm (GA), Imperialist Competitive Algorithm (ICA), and Gray Wolfs Optimization (GWO).Findings: The results obtained by solving the model using the above-mentioned metaheuristic algorithms demonstrated that despite the high speed of the GWO algorithm, the solutions provided by the GWO algorithm were not satisfactory compared to the GA and ICA algorithms. …”
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A Novel Model of Conforming Delaunay Triangulation for Sensor Network Configuration by Yan Ma, Yan-ling Hao, Feng-min Tian

“…All experimental results show the advantages of the proposed algorithm as compared with the existing algorithms and confirm the algorithm analysis sufficiently.…”
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Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu Method by Sheng-Bo Zhou, Ai-Qin Shen, Geng-Fei Li

“…The results, through the comparison of the traditional threshold algorithms, indicate that three threshold algorithms and five edge detectors fail to meet the demand of segmentation for Computed Tomography concrete images. …”
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Testing Data Cloning as the Basis of an Estimator for the Stochastic Volatility in Mean Model by E. Romero, E. Ropero-Moriones

“…This study introduces a Bayesian methodology that leverages data-cloning algorithms to obtain maximum likelihood estimates for SV and SVM model parameters. …”
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Adaptive Hierarchical Collocation Method for Solving Fractional Population Diffusion Model by Linqiang Yang, Yafei Liu, Hongmei Ma, Xue Liu, Shuli Mei

“…This paper presents an adaptive hierarchical collocation method for solving this model, enhancing the efficiency of algorithms based on Low-Complexity Shannon-Cosine wavelet derived from combinatorial identity theory. …”
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Generalized Mixed Equilibria, Variational Inclusions, and Fixed Point Problems by A. E. Al-Mazrooei, A. S. M. Alofi, A. Latif, J.-C. Yao

“…We prove some strong and weak convergence theorems for the proposed iterative algorithms under suitable conditions.…”
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Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images by Karen Panetta, Arash Samani, Sos Agaian

“…This helps in anomaly detection and diagnosis. Most enhancement algorithms are iterative processes that require many parameters be selected. …”
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A study of value iteration and policy iteration for Markov decision processes in Deterministic systems by Haifeng Zheng, Dan Wang

“…In the context of deterministic discrete-time control systems, we examined the implementation of value iteration (VI) and policy (PI) algorithms in Markov decision processes (MDPs) situated within Borel spaces. …”
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An Improved Sensitivity Method for the Simultaneous Identification of Unknown Parameters and External Loads of Nonlinear Structures by Chongwen Wang, Chengbin Du

“…Because structures may be subject to unknown loads and may simultaneously involve unknown parameters and because simple load identification or parameter identification algorithms cannot be applied under such conditions, it is necessary to seek algorithms that can simultaneously identify unknown parameters and external loads of structures. …”
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Modeling Multicellular Systems Using Subcellular Elements by T. J. Newman

“…We also discuss efficient algorithms for encoding the model, and give an example of a simulation of an epithelial sheet. …”
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A Study about Prevent Tampering with Encrypted Messages over the Network Using Digital Signature by Majed Al-khairow, Mohamad Firas Al-halabi

“…We came up with a lower execution time, and we also compared the execution time of our modified algorithm with the original algorithm and some other Digital signature algorithms. …”
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Plant Leaf Recognition through Local Discriminative Tangent Space Alignment by Chuanlei Zhang, Shanwen Zhang, Weidong Fang

“…Manifold learning based dimensionality reduction algorithms have been payed much attention in plant leaf recognition as the algorithms can select a subset of effective and efficient discriminative features in the leaf images. …”
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Deblurring by Solving a TVp-Regularized Optimization Problem Using Split Bregman Method by Su Xiao

“…In simulated experiments, the proposed algorithm and some state-of-the-art algorithms are applied to restore three types of blurred-noisy images. …”
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Smart health-care systems for rheumatology by Suneeta Mohanty, Prasant Kumar Pattnaik

“…Wireless sensors, radio-frequency identification technology, Internet of things, and machine learning (ML) algorithms are the underlying technology to implement smart health care. …”
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A Personalized Travel Route Recommendation Model Using Deep Learning in Scenic Spots Intelligent Service Robots by Qili Tang

“…The results show that the overall performance of the proposed algorithm is better than the other two comparison algorithms.…”
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A Firefly Colony and Its Fuzzy Approach for Server Consolidation and Virtual Machine Placement in Cloud Datacenters by Boominathan Perumal, Aramudhan Murugaiyan

“…Managing these resources to handle large number of virtual machine requests has created the need for heuristic optimization algorithms to provide the optimal placement strategies satisfying the objectives and constraints formulated. …”
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Relaxed Extragradient Methods with Regularization for General System of Variational Inequalities with Constraints of Split Feasibility and Fixed Point Problems by L. C. Ceng, A. Petruşel, J. C. Yao

“…Strong convergence of the proposed algorithms under some mild conditions is established. …”
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SpatialLeiden: spatially aware Leiden clustering by Niklas Müller-Bötticher, Shashwat Sahay, Roland Eils, Naveed Ishaque

“…Leiden clustering is one of the algorithms of choice in the single-cell community. In the field of spatial omics, Leiden is often categorized as a “non-spatial” clustering method. …”
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Hole Detection for Quantifying Connectivity in Wireless Sensor Networks: A Survey by Pearl Antil, Amita Malik

“…Coverage hole detection schemes have been classified into three categories based on the type of information used by algorithms, computation model, and network dynamics for better understanding. …”
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Inverse Tone Mapping Based upon Retina Response by Yongqing Huo, Fan Yang, Vincent Brost

“…Comparisons with three recent algorithms in the literature also show that the proposed method reveals more important image details and produces less contrast loss and distortion.…”
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