From pixels to prognosis: radiomics and AI in Alzheimer’s disease management by Danting Peng, Weiju Huang, Ren Liu, Wenlong Zhong

“…Recent advancements in radiomics and artificial intelligence (AI) offer novel solutions by integrating quantitative imaging features and machine learning algorithms to enhance diagnostic and prognostic precision. …”
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The Principle of Mathematical Induction: Applications in Physical Optics by Joseph Ivin Thomas

“…In theoretical computer science, it bears the pivotal role of developing the appropriate cognitive skills necessary for the effective design and implementation of algorithms, assessing for both their correctness and complexity. …”
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Non-unitarity maximizing unraveling of open quantum dynamics by Ruben Daraban, Fabrizio Salas-Ramírez, Johannes Schachenmayer

“…Compared to other adaptive entanglement lowering algorithms, NUMU is computationally inexpensive. We demonstrate its utility in large-scale simulations with random quantum circuits. …”
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Fault Detection Filter Design of Polytopic Uncertain Continuous-Time Singular Markovian Jump Systems with Time-Varying Delays by Yunling Shi, Xiuyan Peng

“…Finally, a DC motor and an illustrative simulation example are given to verify the feasibility and effectiveness of the proposed algorithms.…”
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Analysis of Public Sentiment on Election Results using Naïve Bayes in Social Media X by Ahmad Syakir Muliana, Dinda Lestarini, Sarifah Putri Raflesia

“…Further study is advised to investigate sophisticated algorithms to improve the accuracy of sentiment classification, namely in detecting neutral sentiments.…”
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Research on fault prediction of computer network nodes driven by log information by WANG Yuxi, YE Qingwei, ZHOU Peng, LI Bing, WANG Xiaodong

“…The performance evaluation is conducted on the publicly available small-scale operation and maintenance dataset GAIA, and the experimental results show that compared with other algorithms, the proposed model has good predictive performance in local network scenarios, and its predictive effectiveness is verified, providing a certain reference value for computer network fault prediction research.…”
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Stress intensity factor for small embedded cracks in weldments by Paolo Livieri, Fausto Segala

“…In this way, the numerical evaluation of the SIF is possible without the use of specific integration algorithms, although the nominal stress field becomes singular when the crack approaches a V-sharpe notch. …”
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Novel MCDM Methods and Similarity Measures for Extended Fuzzy Parameterized Possibility Fuzzy Soft Information with Their Applications by Ghous Ali

“…Two logical operations namely “AND” and “OR” operations followed by two corresponding MCDM algorithms have been developed and implemented. Furthermore, similarity measures between fuzzy parameterized possibility fuzzy bipolar soft sets are proposed and applied to an agricultural land selection scenario. …”
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Exploring A Better Way to Constraint Propagation Using Naked Pair by Chen Kaiqi

“…Sudoku is an NP-complete problem therefore developing various efficient algorithms is crucial. This paper presents an enhanced approach to solving sudoku puzzles by improving on recursive backtracking with constraint propagation and bitmask, focusing on the implementation of the naked pair technique. …”
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EAP-Swift: An Efficient Authentication and Key Generation Mechanism for Resource Constrained WSNs by Daniel Granlund, Christer Åhlund, Patrik Holmlund

“…By utilizing lightweight hashing algorithms, the challenge-response authentication mechanism uses only two round trips to the AAA server for the complete authentication procedure leading to the reduction of latency by 33% compared to the baseline protocols. …”
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Survey on Giant Constellation Cloud Network Integration by Dan ZHANG, Jingjing LI, Tian LIU, Sunjie TAO, Ziping LYU

“…Thanks to the development of aerospace technology and the rise of concepts such as cloud computing and edge computing, cloud network convergence networks based on giant constellations are expected to become an important part of the integrated construction of star-ground and 6G global communication networks.Unlike terrestrial communication networks, constellation network topology is highly dynamic and time-varying, with strong resource and link heterogeneity, and other characteristics that pose challenges for cloud network convergence.The characteristics of giant constellations and the development status of terrestrial cloud network convergence was summarized, the urgent needs and challenges of cloud network convergence in giant constellations were analyzed, and the innovation of satellite internet cloud network convergence architecture, the use of resource virtualization technology, information sensing and routing path planning based on artificial intelligence algorithms, and cloud computing and edge collaborative computing were potential directions for future satellite-based cloud network convergence technology development direction were further pointed out.…”
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A graph-state based synthesis framework for Clifford isometries by Timothée Goubault de Brugière, Simon Martiel, Christophe Vuillot

“…We also propose practical synthesis algorithms for Clifford isometries with a focus on Clifford operators, graph states and codiagonalization of Pauli rotations. …”
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Problems of bias and discrimination of human capital in artificial intelligence systems by E. V. Kashtanova, A. S. Lobacheva

“…The main purpose of writing this work is to study the question of how the use of AI and algorithmic solutions aggravates the problem of bias and discrimination of human capital which is inevitably associated with the emergence of AI. …”
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Optimization and Planning of Emergency Evacuation Routes Considering Traffic Control by Guo Li, Lijun Zhang, Zhaohua Wang

“…This paper establishes two different emergency evacuation models on the basis of the maximum flow model (MFM) and the minimum-cost maximum flow model (MC-MFM), and proposes corresponding algorithms for the evacuation from one source node to one designated destination (one-to-one evacuation). …”
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Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding by Nhat-Duc Hoang

“…Experimental results point out that the integration of M2GLD and the Otsu method, followed by other shape analysis algorithms, can successfully detect crack defects in digital images. …”
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MODEL IDENTIFICATION AND LEVEL CONTROL OF COUPLED TANKS SYSTEM by OKUBANJO AYODEJI, OKANDEJI ALEXANDER, ALAO PETER, OLALUWOYE OLAWALE, ONAIFO FRANK, MUFUTAU OLAYEMI

“…In this paper, we examine the performance evaluation of two control algorithms, proportional derivative controller (PD) and proportional-integral-derivative controller (PID). …”
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Two ways to one goal: new strategy of antiviral therapy for chronic hepatitis C by S. N. Batskikh

“…To analyze data of the clinical studies on chronic hepatitis C (CHC) treatment with application of new modes of combined therapy, including selective inhibitor of viral protease.Key points. New algorithms of antiviral therapy for patients infected by the 1-st virus genotype not treated earlier, and after treatment failure, implicate presence or absence of so-called «induction phase», the kernel of which is application of pegilated interferon-α and ribavirin combination at the beginning of treatment with subsequent addition of the third agent (the direct action antiviral agent). …”
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Neutrino Emission from Magnetized Microquasar Jets by Theodoros Smponias, Odysseas Kosmas

“…We adopt a semianalytical approximation for the description of the secondary particles produced from p-p collisions and develop appropriate algorithms using the aforementioned injected protons as input. …”
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Research on OTN Service Delay Estimation Method based on Machine Learning by YANG Ganggang, SHAO Zhugui, JIANG Xianrong

“…Finally, the paper proposes a delay estimation model based on engineering live network, and compares the simulation results of various machine learning algorithms.【Results】The Mean Absolute Percentage Errors (MAPE) of the delay estimation results based on Support Vector Regression (SVR) and decision tree regression were 3.362 8% and 1.284 9%, respectively.…”
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A Hybrid Search Model for Constrained Optimization by Xiaoli Gao, Yangfei Yuan, Jie Li, Weifeng Gao

“…Different from decomposition-based multiobjective optimization algorithms in which each subproblem is optimized by using the information of its neighboring subproblems, the neighbors of each subproblem are deFined based on corresponding direction vector only in the method. …”
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