Developing an Algorithm for Detecting Suspicious Trades in Tehran Stock Exchange Based on Spoof Trading Model by Reza Tehrani, Saeed Fallahpour, Hamid Nouralidokht

“…Results: The results of the mentioned econometric tests were consistent with the results of the designed algorithm. The study’s hypotheses were accepted. Conclusion: The results of the designed algorithm indicated that the efficiency of the utilized algorithm for detecting suspicious trades is equal to 90.4%, which is an excellent level of performance for accepting an algorithm. …”
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Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

“…Achieving this objective is possible by employing machine learning algorithms that enable real-time forecasting of bottomhole pressure. …”
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Detection of <i>Aspergillus flavus</i> in Figs by Means of Hyperspectral Images and Deep Learning Algorithms by Cristian Cruz-Carrasco, Josefa Díaz-Álvarez, Francisco Chávez de la O, Abel Sánchez-Venegas, Juan Villegas Cortez

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Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation by Caroline Bönisch, Christian Schmidt, Dorothea Kesztyüs, Hans A Kestler, Tibor Kesztyüs

“…The performance of the predictive quality algorithms was assessed based on accuracy, precision, recall, and scoring. …”
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Comparative Analysis of MFO, GWO and GSO for Classification of Covid-19 Chest X-Ray Images by Asraa M. Mohammad, Hussien Attia, Yossra H. Ali

“…This study examines a comparison analysis of k-nearest neighbors (KNN), Extreme Gradient Boosting (XGboost), and Support-Vector Machine (SVM) are some classification approaches for feature selection in this domain using The Moth-Flame Optimization algorithm (MFO), The Grey Wolf Optimizer algorithm (GWO), and The Glowworm Swarm Optimization algorithm (GSO). …”
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Integrated transportation system planning with gravitational search algorithm approach based on fuzzy mutant controller by Alireza Hosseinzadeh Kashani, Seyed Ahmad Shayannia, Mohammad Mehdi Movahedi, Soheila Sardar

“…Based on the formula, this force is equal to the difference between the value of the evaluation function of the candidate response and the current response divided by the radius of the neighborhood to the square of two. Since the high speed of the gravitational force algorithm is due to the local search, it is very important to create and select the neighborhood as well as to choose the correct conditions for the solutions to be neighbors in this algorithm. …”
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Using Relational Biology with Loop Analysis to Study the North Atlantic Biological Carbon Pump in a ‘Hybrid’ Non-Algorithmic Manner by Patricia A. Lane

“…Loop Analysis, a signed graph technique, is discussed as a hybrid algorithmic/non-algorithmic methodology in Relational Biology. …”
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Development of a cryptographic protection system for information transmitted over open communication channels by V. F. Antonov

“…The presence of several encryption algorithms and the presence of different key lengths will significantly improve the cryptographic strength of the system being developed, since when a sent message is intercepted, the algorithm and key length can be arbitrary, which will make it difficult for unauthorized decryption of messages. …”
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Solution Approach to the Minimum Spanning Tree Problem in Tsukamoto Fuzzy and Fermantean Fuzzy Environments by Desli de Haas, Citra Palembang, Aziz Rumakefing

“…Since the proposed Algorithm includes FFN ranking and Arithmetic Operations, we use the improved FFN scoring function to compare the edge weights of the graphs. …”
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Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

“…Since one of the most critical aspects in this computational consume is the available dataset, among others, in this paper we perform a study of the effect of using different partitions of a dataset in the hyperparameter optimization phase over the efficiency of a Machine Learning algorithm. …”
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Geometric Range-Free Localization Algorithm Based on Optimal Anchor Node Selection in Wireless Sensor Networks by Hyunjae Woo, Chaewoo Lee

“…Simulation results show that the proposed algorithm offers considerably an improved performance compared to the other existing studies.…”
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Radial Basis Function Neural Network with Particle Swarm Optimization Algorithms for Regional Logistics Demand Prediction by Zhineng Hu, Yixin Zhang, Liming Yao

“…In this paper, the PSO-RBFNN model, a radial basis function neural network (RBFNN) combined with particle swarm optimization (PSO) algorithm, is studied. The PSO-RBFNN model is trained by indicators data in a region to predict the regional logistics demand. …”
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Development of a Novel Hyperchaos-Based Image Encryption Algorithm Consisting of Two Scrambling-Diffusion Operations by Yongzhong Huang, Xueguang Bi, Yucheng Liu, Yuxia Li

“…Since the initial values of hyperchaotic Chen systems are related to plaintext and the encryption process is related to the images, this algorithm is able to effectively protect images against selective plaintext attacks. …”
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Implementation of MPPT Algorithm for Single-Stage Grid-Connected Photovoltaic system by using incremental conductance method by Mostafa Abuzaher Mohaned, Yousry Atia, Farag K. Abo-Elyousr, Emad H. El-Zohri

“…<p>This paper presents simulation and implementation of maximum power point tracking algorithm for single stage three-phase grid-connected PV system by using incremental conductance method. …”
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Fuzzy-Based Hybrid Location Algorithm for Vehicle Position in VANETs via Fuzzy Kalman Filtering Approach by Jiyao An, Yingjun Yu, Jie Tang, Jiawei Zhan

“…In this paper, the vehicle location problem under urban road conditions is investigated by employing the GPS, WiFi, and Cellular Network (CN) positioning systems and by developing neighbor vehicle utilization in VANETs. Since GPS is possibly affected by satellite signal in real urban environment, while WiFi is only suitable for urban and CN is affected by the number of Base Stations (BSs) and signal strength, then a fuzzy-based hybrid location algorithm is developed. …”
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Optimization of a Semiflexible Demand-Responsive Feeder System in Suburban Areas Using a Memetic Algorithm by Fabio Sartori Vieira, Kenneth Sorensen, Pieter Vansteenwegen

“…Traditional bus operations in suburban areas are inefficient due to their fixed routes and timetables. Since suburban operations deal with low demand spread in a large area, the service stays underused for most off-peak hours. …”
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A Novel Data-Driven Fault Diagnosis Algorithm Using Multivariate Dynamic Time Warping Measure by Jiangyuan Mei, Jian Hou, Hamid Reza Karimi, Jiarao Huang

“…Process monitoring and fault diagnosis (PM-FD) has been an active research field since it plays important roles in many industrial applications. …”
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A co-occurrence region based Bayesian network stepwise remote sensing image retrieval algorithm by Rui Zeng, Yingyan Wang, Wanliang Wang

“…This paper proposes a remote sensing image retrieval algorithm that combines co-occurrence region based Bayesian network image retrieval with average high-frequency signal strength. …”
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A Genetic Algorithm based approach for designing multi-state computational grid with cost and bandwidth constraints by Debashreet Das, C.R. Tripathy, P.K. Tripathy, M.R. Kabat

“…This paper proposes a Genetic Algorithm (GA) based approach for optimization of reliability of computational grid with desired reliability under cost and bandwidth constraints. …”
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Comparative study of control algorithms MPPT based photovoltaic system with a DC–DC boost converter by Lakhder Ayhar, Ahmed Safa, Abdelmadjid Gouichiche, Fayssal Elyamani Benmohamed

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