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Enhancing Grover’s search algorithm: a modified approach to increase the probability of good states
This article introduces an enhancement to the Grover search algorithm to speed up computing the probability of finding good states. It suggests...
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Quantization and surface smoothing of 3D meshes with truncated vertex coordinates: a central probability measure and Bayesian averaging approach
Quantization of 3D meshes involves representing the vertices of the mesh using a reduced number of bits, typically 10, 12, or 14 bits. This technique...
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Multiple search operators selection by adaptive probability allocation for fast convergent multitask optimization
Evolutionary multitask optimization (EMTO) has developed fast recently, and many algorithms have emerged that solve several different problems...
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Stride Window Approach with Anomaly Detection for Probability Risk Assessment
Different data mining techniques are used for risk assessment and prediction purpose in different domains, such as finance sector, health sector,...
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Resource-Constrained Scheduling Algorithms for Stochastic Independent Tasks With Unknown Probability Distribution
This work introduces scheduling algorithms to maximize the expected number of independent tasks that can be executed on a parallel platform within a...
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Cascaded Iterative Transformer for Jointly Predicting Facial Landmark, Occlusion Probability and Head Pose
Landmark detection under large pose with occlusion has been one of the challenging problems in the field of facial analysis. Recently, many works...
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BAFS: binary artificial bee colony based feature selection approach to estimate software development effort
During the Software Development Life Cycle (SDLC) process, software effort estimation models need to determine the effort required to build a project...
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Tight Analysis of Decryption Failure Probability of Kyber in Reality
Kyber is a candidate in the third round of the National Institute of Standards and Technology (NIST) Post-Quantum Cryptography (PQC) Standardization....
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An MM Algorithm to Estimate Parameters in Continuous-Time Markov Chains
Prism and Storm are popular model checking tools that provide a number of powerful analysis techniques for Continuous-time Markov chains (CTMCs). The...
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Information-Theoretic Lower Bounds to Error Probability for the Models of Noisy Discrete Source Coding and Object Classification
AbstractProbabilistic models of noisy discrete source coding and object classification are studied. For these models, the appropriate minimal...
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A unified approach to evaluate the precise outage probability of NOMA over various fading scenarios
Non-orthogonal multiple access (NOMA) is an emerging multiple access technique for future generation wireless networks. Owing to the wide...
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Improvement of Estimate Distribution with Local Differential Privacy
Personalized high-quality services including route finding and detection of the nearest shops and restaurants are provided based on the current...
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Exploring complex multivariate probability distributions with simple and robust bayesian network topology for classification
Bayesian network classifier (BNC) allows efficient and effective inference under condition of uncertainty for classification, and it depicts the...
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A New Framework for Classifying Probability Density Functions
This paper introduces a new framework for classifying probability density functions. The proposed method fits in the class of constrained Gaussian...
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A Three-Stage Framework to Estimate Pedestrian Path by Using Signaling Data and Surveillance Video
The estimation of pedestrian path is of great value in the study of crowd dynamics, and various data with location information can be used as the...
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Probability-Based Nuclei Detection and Critical-Region Guided Instance Segmentation
Nuclear instance segmentation in histopathological images is a key procedure in pathological diagnosis. In this regard, a typical class of solutions...
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A new one-parameter discrete probability distribution with its neutrosophic extension: mathematical properties and applications
Count data modeling’s significance and its applicability to real-world occurrences have been emphasized in a number of research studies. The purpose...
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Probability density prediction of peak load based on mixed frequency noise-assisted multivariate empirical mode decomposition
Accurate peak load forecasting is crucial to ensuring the reliable operation of the power system. However, existing prediction models often neglect...
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Superiority of three-way decisions from the perspective of probability
Three-way decisions (3WDs) is a typical method for dealing with uncertain issues. It is essentially an extension of two-way decisions (2WDs). What is...
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Improving bounds on probabilistic affine tests to estimate the nonlinearity of Boolean functions
In this paper we want to estimate the nonlinearity of Boolean functions, by probabilistic methods, when it is computationally very expensive, or...
