Elimination of defects in photos using neural networks by V. F. Antonov

“…The proposed article discusses special algorithms for the operation of a neural network that are designed to recognize graphic images, as well as algorithms for finding defects in graphic images with their subsequent elimination.A huge number of photographs on paper are subject to physical damage over time (unlike photographs on electronic media). …”
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Paradigmatic Relations of the Metalanguage of Metalinguistics by Sergey V. Lesnikov

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Modification of preoperative preparation as a guarantee of improvement of perioperative treatment in elderly and senile patients by M. B. Danylyuk, S. M. Zavgorodniy, A. I. Rylov, M. A. Кubrak, N. O. Yareshko, A. V. Bachurin

“…Into the control group 89 (58.2 %) patients were included, who were treated in accordance to the standards and clinical protocols, while into the main one - 64 (41.8%) patients, in whom preoperative preparation was modified in accordance to algorithm. …”
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Development of a PYTHON library for a mathematical model of nuclear reactor kinetics by Aleksei G. Goryunov, Danil D. Kachanov, Kirill D. Kachanov

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Optimized and Routed Wiring Harness Based on Zonal Clustering Concept Using AI in the Automotive Industry by Md Sanowar Hossain, Hafiz Abdul Quddus, Ziya Cevahir, Alexander Jesser

“…A methodology integrating K-means clustering with dynamic grid-based routing algorithms (A* and Bresenham’s line algorithm) is applied to optimize the wiring harness layout across the vehicle’s zones, covering six key domains (comfort, chassis, drive assist, infotainment, system, and powertrain). …”
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Solving Three-Stage Operating Room Scheduling Problems with Uncertain Surgery Durations by Yang-Kuei Lin, Chin Soon Chong

“…The results from different problem sizes and uncertainty levels show that GARS and GARS_SA consistently perform better than the other algorithms. In large-scale tests with moderate uncertainty (30 surgeries, α = 0.5), GARS achieves an average makespan of 633.85, a standard deviation of 40.81, and a worst-case performance ratio (WPR) of 1.00, while GAD reaches 673.75, 54.21, and 1.11, respectively. …”
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Research and application of new method based on MDT intelligent analysis of LTE radio interference by Qizhu ZHONG, Xiuquan WU, Yaoman LUO

“…Aiming at the traditional LTE (long term evolution) wireless interference judgment analysis method has insufficient user dimension data,insufficient correlation of quality reasons,and too much dependence on manual analysis.A new method based on MDT (minimized drive test) technology for intelligent analysis of LTE radio interference was proposed.Firstly,the user’s wireless quality data and latitude and longitude information were collected by using MDT and MR (measurement report),and then DBSCAN (density-based spatial clustering of applications with noise) and adaptive clustering algorithm were used to collect the wireless coverage indicators and the latitude and longitude and other data were used for cluster analysis.Finally,the clustered data was imported into the self-built wireless interference judgment model,and the interference type was analyzed to realize the intelligent analysis of LTE wireless interference.Compared with the traditional interference analysis method,the proposed method can avoid the complicated road test process and improve the accuracy of the analysis.Data acquisition clustering and model analysis experiments show that the new method improves the efficiency and location accuracy of data collection,and effectively reduces the time of manual investment while the results are more accurate.…”
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Lightweight Implicit Approximation of the Minkowski Sum of an N-Dimensional Ellipsoid and Hyperrectangle by Martijn Courteaux, Bert Ramlot, Peter Lambert, Glenn Van Wallendael

“…To this end, we propose a fast, computationally lightweight, non-iterative algorithm that approximates the Minkowski sum through the intersection of two carefully constructed bounding boxes. …”
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Crops Disease Detection, from Leaves to Field: What We Can Expect from Artificial Intelligence by Youssef Lebrini, Alicia Ayerdi Gotor

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Utilizing LSTM-GRU for IOT-Based Water Level Prediction Using Multi-Variable Rainfall Time Series Data by Indrastanti Ratna Widiasari, Rissal Efendi

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Multi-objective recommendation system utilizing a multi-population knowledge migration framework by Liang Chu, Ye Tian

“…In this paper, we propose an innovative multi-objective recommendation algorithm based on a multi-population auxiliary evolution framework, abbreviated as MOEA-MIAE. …”
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Individual health passport storage, sharing and verification scheme based on blockchain by GAO Hancheng, JI Haoyu, GAO Chenhao, HUANG Haiping

“…The scheme also refined the weak consensus mechanism, with an improved algorithm that achieved consensus in merely two stages. …”
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Methodology for determining the bearing capacity of tensioned tubular reinforced concrete elements by Roman Shmyh, Taras Shchur, Mustafa B. Dawood, Adam Idzikowski

“…The aim of this scientific study is to develop a practical algorithm for calculating the load-bearing capacity of tensioned CFST elements.…”
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Crossover operators for molecular graphs with an application to virtual drug screening by Nico Domschke, Bruno J. Schmidt, Thomas Gatter, Richard Golnik, Paul Eisenhuth, Fabian Liessmann, Jens Meiler, Peter F. Stadler

“…Abstract Genetic algorithms are a powerful method to solve optimization problems with complex cost functions over vast search spaces that rely in particular on recombining parts of previous solutions. …”
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An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer by Subrata Das, Vatsal Patel, Shouvik Chakravarty, Arnab Ghosh, Anirban Mukhopadhyay, Nidhan K. Biswas

“…Despite the presence of numerous bioinformatic algorithms for estimating mutation pathogenicity, there is significant variation in their assessments. …”
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Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion by Susana Dias, Pedro J. S. C. P. Sousa, João Nunes, Francisco Afonso, Nuno Viriato, Paulo J. Tavares, Pedro M. G. P. Moreira

“…Using a data fusion approach, pre-existing knowledge about the track topography is incorporated into the LiDAR data processing pipeline in conjunction with the DBSCAN clustering algorithm to identify and classify potential obstacles based on point cloud density patterns. …”
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Energy-efficient dynamic wavelength and bandwidth allocation algorithm with delay constraint for time and wavelength division multiplexed passive optical networks by Cunqian YU, Mingzhu TANG, Rongxi HE

“…Based on offline scheduling and node modular design,an energy-efficient dynamic wavelength and bandwidth allocation algorithm with the delay constraint (EE-DWBA-DC) was proposed.Optical line terminal (OLT) and optical network units (ONU) were considered to save energy.Under the constraint of packet delay,the number of active wavelengths could be reduced as much as possible and the length of polling cycle was increased.At the same time,the uplink and downlink transmission time of OLT and ONU were concentrated to reduce the state conversion times and extend its low-power duration.In addition,the high energy consumption voids of channels were attempted to be minimized.The simulation results verify that the proposed algorithm can reduce the energy consumption of OLT and ONU and the total energy consumption of the whole network under the premise of guaranteeing packet delay constraints.…”
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Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation? by David Dimitris Chlorogiannis, Georgios-Ioannis Verras, Vasiliki Tzelepi, Anargyros Chlorogiannis, Anastasios Apostolos, Konstantinos Kotis, Christos-Nikolaos Anagnostopoulos, Andreas Antzoulas, Michail Vailas, Dimitrios Schizas, Francesk Mulita

“…Overall, the available state-of-the-art algorithms are non-inferior to pathologists for image analysis and classification tasks. …”
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Overlapping Decentralized Control Strategies of Building Structures’ Vibration with Time Delay Based on H∞ Control Algorithms under Seismic Excitation by Xiaofang Kang, Jian Wu, Yewei Zhang, Guoliang Liu, Suhui Zhang, Xueting Tao, Guanghui Xia, Dawei Man, Qinghu Xu

“…The feedback gain matrixes of all subsystems are obtained by this method based on genetic algorithm optimization tools and the specific goal of optimization control. …”
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Bioinformatic Methodologies in Assessing Gut Microbiota by James Douglas Fox, Austin Sims, Morgan Ross, Jeffery Bettag, Alexandra Wilder, Dylan Natrop, Alison Borsotti, Sree Kolli, Shaurya Mehta, Hema Verma, Kento Kurashima, Chandrashekhara Manithody, Arun Verma, Ajay Jain

“…These methodologies involve high-throughput sequencing technologies, such as 16S rRNA gene sequencing and metagenomics, which generate vast amounts of data on microbial diversity and functional potential, as well as whole-genome sequencing, which, while being more costly, has a more expansive potential. …”
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