Portfolio optimization with MOPSO-Shrinkage hybrid model by Minh Tran, Nhat M. Nguyen

“…This paper introduces a novel framework for portfolio optimization that integrates Multi-Objective Particle Swarm Optimization (MOPSO) with shrinkage covariance estimators, referred to as the MOPSO-Shrinkage hybrid model. The main contribution of this study lies in combining the adaptive search capabilities of evolutionary algorithms with robust covariance estimation techniques to enhance portfolio allocation in mature financial markets. …”
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THE IMAGE SPEED DURING THE OPTICAL-ELECTRONIC SURFACING THE PLANET by V. Ya. Gecha, M. Yu. Zhilenev, V. B. Fyodorov, D. A. Khrychev, Yu. I. Khudak, A. V. Shatina

“…In addition, the resulting formula is useful for verifying numerical algorithms that model the "smear" effect. It can be used in planning work programs for remote sensing of the Earth.…”
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Old Wine in New Wineskins: Applying Computational Methods in New Testament Hermeneutics by Christian Houth Vrangbæk, Eva Elisabeth Houth Vrangbæk, Jacob Mortensen

“…This article explores some of the advantages and disadvantages in employing computational/algorithmic approaches, such as so-called semantic models of word embedding and topic modelling analysis. …”
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An Introduction to B-Cell Epitope Mapping and In Silico Epitope Prediction by Lenka Potocnakova, Mangesh Bhide, Lucia Borszekova Pulzova

“…The main objective of epitope identification is to replace an antigen in the immunization, antibody production, and serodiagnosis. …”
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Vibration Diagnostic Methods from Methodsof Obtaining Data to Processing It Using Modern Means by Anton O. Zhuravlev, Alexey O. Polyakov, Denis A. Andrikov

“…Today, one of the main directions of industrial development is the digitalization of production processes. …”
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VMDU-net: a dual encoder multi-scale fusion network for polyp segmentation with Vision Mamba and Cross-Shape Transformer integration by Peng Li, Jianhua Ding, Chia S. Lim

“…Additionally, capturing long-range dependencies remains difficult, with many existing algorithms struggling to converge effectively, limiting their practical application.MethodsTo address these challenges, we propose a novel Dual Encoder Multi-Scale Feature Fusion Network, termed VMDU-Net. …”
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Inductive Power Transfer Coil Misalignment Perception and Correction for Wirelessly Recharging Underground Sensors by John Sanchez, Juan Arteaga, Cody Zesiger, Paul Mitcheson, Darrin Young, Shad Roundy

“…Field implementations of fully underground sensor networks face many practical challenges that have limited their overall adoption. …”
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Artificial Intelligence in cancer epigenomics: a review on advances in pan-cancer detection and precision medicine by Karishma Sahoo, Prakash Lingasamy, Masuma Khatun, Sajitha Lulu Sudhakaran, Andres Salumets, Vino Sundararajan, Vijayachitra Modhukur

“…Despite their promise, challenges remain, including limited sensitivity for early-stage cancers, the black-box nature of many AI algorithms, and the need for validation across diverse populations to ensure equitable implementation. …”
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Effects of Artificial Intelligence Applications on Music and the Music Industry by Buket Gündoğdu, Semih Okcu

“…It also offers a perspective on the interaction of music and artificial intelligence today by discussing how technologi cal innovations and algorithms that emerged with electronic music transform music creation processes. …”
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A Novel Method for Estimating State of Power of Lithium-Ion Batteries Considering Core Temperature by Ruixue Zhang, Keyi Wang, Zhilong Yu, Gang Zhao

“…The combination of maximum likelihood estimation, adaptive genetic algorithms for parameter identification, and the unscented Kalman filter for state estimation was found to enhance the accuracy and robustness of battery models. …”
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Advanced Computer Vision Techniques for Accurate Measurement in Unmanned Mobile Robots by Bharathi V, Natraj N A, Gopinath S, Kiruthikaa R

“…This article provides an overview of digital image processing, highlighting the main concepts and introducing key algorithms. These methods are designed to capture, process, and interpret digital images and enable the extraction of important data from real-world environments. …”
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Awareness and Perspectives on the Role of Artificial Intelligence in Primary Care: Survey of Rural and Urban Primary Care Physicians in Alberta, Canada by Jose Uriel Perez

“…Lack of human connection was the main fear that was expressed regarding the use of AI in healthcare. …”
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Prediction of soil erosion control ecosystem service using machine learning based on the ANN model in Asia by Jamil Amanollahi, Shiva Gharibi, Arman Rastkhadiv

“…The impact of climate change on soil erosion control is one of the main consequences of climate change on ecosystem services, as it increases the risk of soil erosion. …”
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Identification of candidate driver genes in common focal chromosomal aberrations of microsatellite stable colorectal cancer. by George J Burghel, Wei-Yu Lin, Helen Whitehouse, Ian Brock, David Hammond, Jonathan Bury, Yvonne Stephenson, Rina George, Angela Cox

“…Context corrected common aberration (COCA) analysis and custom algorithms identified 64 deletions and 32 gains of focal minimal common regions (FMCR) at high frequency (>10%). …”
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Computationally efficient solution for finding the current density on the illuminated and shadow sides of an infinitely thin circular disk by Dmitry K. Ketukh

“…The article is devoted to the development of a computationally efficient numerical solution to the diffraction problem on an infinitely thin ideally conducting circular disk. The main attention is paid to the problem of finding the distribution of the surface current density on each side of the disk separately, which has remained undiscovered in other well-known studies. …”
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Advanced GIS-based Multi-Function Support System for Identifying the Best Route by Suhiar Mohammed Zeki Abd Alsammed

“…One of the main merits of this model is to be faster by removing the influence of non-processed data like null values and unlinked roads on offline google maps levels. …”
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On Methods in the Verification and Elaboration of Development Programs for Agricultural Territories by Jorge Vega Vice, Valery Mikhailov

“…In this paper, in order to solve the problem of verification of development programs for agricultural territories, a structural scheme of the program is first constructed, through which the axiomatic theory is created, using Hoare’s algorithmic logic system. The main problem in the construction of the axiomatic theory is the development of the axioms of the theory reflecting the preconditions and effects of the implementation of meaningful actions indicated in the text of the development program. …”
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Dynamic Multiobjective Optimization Based on Multi-Environment Knowledge Selection and Transfer by Wei Song, Jian Yu

“…<i>Background:</i> Dynamic multiobjective optimization problems (DMOPs) involve multiple conflicting and time-varying objectives, and dynamic multiobjective algorithms (DMOAs) aim to find Pareto optima that are closer to the real one in the new environment as soon as possible. …”
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Understanding students’ sentiment from feedback with a new feature selection and semantics networks by Tran Anh Tuan, Dao Thi Thanh Loan, Nichnan Kittiphattanabawon

“… Sentiment analysis of students’ feedback using machine learning algorithms has emerged as a valuable tool for understanding students’ sentiments and improving educational outcomes. …”
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Cutting through the noise: A Three-Way Comparison of Median, Adaptive Median, and Non-Local Means Filter for MRI Images by Raniya Ashraf, Roz Nisha, Fahad Shamim, Sarmad Shams

“…In order to overcome the denoising issues, various filtering techniques and smoothening algorithms have come forth to get an accurate image for better diagnosis while preserving the original image quality. …”
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