Channel Estimation for Mixed-Analog to Digital Converters Architecture in Massive MIMO Architecture Using Approximate Conjugate Gradient Pursuit Algorithm by Yaseen A. Mohammed Obaidi, Anas L. Mahmood

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Optimal Sizing of a Hybrid Renewable Energy System for Auxiliary Services in Substations Through Genetic Algorithm and Variable Neighborhood Search by Matheus Holzbach, John Fredy Franco Baquero, Mariana Resener

“…Furthermore, a hybrid algorithm, based on Genetic Algorithm (GA) and Variable Neighborhood Search (VNS), is introduced. …”
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Co-Optimization of the Hardware Configuration and Energy Management Parameters of Ship Hybrid Power Systems Based on the Hybrid Ivy-SA Algorithm by Qian Guo, Zhihang Fu, Xingming Zhang

“…The algorithm is tested with the CEC2017 benchmark functions and outperforms 11 other algorithms. …”
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ALGORITHM FOR SELECTING A PUMP AND A DIESEL INTERNAL COMBUSTION ENGINE WHEN ASSEMBLING A PUMPING UNIT FOR RECLAMATION PURPOSES by Oleg V. Voevodin, Anton L. Kozhanov

“…Results. The proposed algorithm has the following stages: source data capture – preliminary selection of a pump and an internal combustion engine – establishment of the pump speed control range – calculation of head, flow rate, power and torque on the pump shaft – digitization of the main characteristics of the internal combustion engine in a given crankshaft speed limit – comparison of pump and engine torques – comparison of pump and internal combustion engine capacities – analysis of graphic data on the torque and power of the pump and internal combustion engine – calculation of the energy characteristic of the water flow (Q·H) and construction of its dependence on RPM – clarification of the number of revolutions of the engine crankshaft to ensure the specified head-flow characteristics of the pump. …”
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Micro-classification of orchards and agricultural croplands by applying object based image analysis and fuzzy algorithms for estimating the area under cultivation by Bakhtiar Feizizadeh, Ali KHedmat Zadeh, Mohammad Reza Nikjoo

“…This approach make use of spectral, environmental, physical and geometrical characteristics (e.g. texture, shape) together images contexts for modeling of land use/cover classes. The main objective of this study is to classify micro land use/cover of Meyandoab County by applying appropriate and effective algorithms and parameters in the object based approach. …”
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Using Sono-Electro-Persulfate Process for Atenolol Removal from Aqueous Solutions: Prediction and Optimization with the ANFIS Model and Genetic Algorithm by Nasrin Zahedi, Bahare Dehdashti, Farzaneh Mohammadi, Maryam Razaghi, Zeynab Moradmand, Mohammad Mehdi Amin

“…Finally, an adaptive neuro-fuzzy inference system (ANFIS) with 99.63% accuracy and a genetic algorithm (GA) were used to analyze and interpret data and predict optimal conditions. …”
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Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset by Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui

“…Previous methods for analyzing SCs vulnerabilities typically suffer from a lack of accuracy and effectiveness. Many of them, such as rule-based methods, machine learning techniques, and neural networks, also struggle to detect complex vulnerabilities due to limited data availability. …”
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Optimal sizing and placement of STATCOM, TCSC and UPFC using a novel hybrid genetic algorithm-improved particle swarm optimization by Urbanus Mwanzia Ngei, Abraham Mutunga Nyete, Peter Musau Moses, Cyrus Wekesa

“…Comparison of GA-IPSO technique with other algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Improved Grey Wolf Optimization (IGWO) and Differential Evolution Algorithm (DEA) showed that the proposed hybrid technique was superior and more efficient in solving the FACTS optimization problem.…”
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Using a seasonal and trend decomposition algorithm to improve machine learning prediction of inflow from the Yellow River, China, into the sea by Shuo Wang, Shuo Wang, Ke Yang, Ke Yang, Hui Peng, Hui Peng

“…Time decomposition algorithms, combined with machine learning, are effective tools to enhance the capabilities of inflow prediction models. …”
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PRIVATE TECHNIQUE OF FORMATION OF REQUIREMENTS TO INFORMATION PROTECTION SYSTEMS FROM UNAUTHORIZED ACCESS TO AUTOMATED BATH SYSTEMS USING GENETIC ALGORITHM by I. G. Drovnikova, A. A. Zmeev, E. A. Rogozin

“…Analysis of the existing methodology for the formation of requirements for information protection systems (GIS) from unauthorized access (NSD) to automated systems (AS) revealed a number of significant flaws, the main of which is the following: despite the fact that the considered method undoubtedly has theoretical significance, the same time, it can not claim practical value. …”
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Design and application research of traditional Chinese medicine teaching resource recommendation system based on multivariate data mining driven algorithm by Wei Zhang, Yaqing Liu, Qiang Zhang, Xiaomin Chen

“…In this study, a multivariate data mining-driven algorithm was used to design a teaching resource recommendation system. …”
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Petrophysical evaluation of clastic formations in boreholes with incomplete well log dataset by using joint inversion technique and machine learning algorithms by Felipe Santana-Román, Ambrosio Aquino López, Manuel Romero Salcedo (+), Raúl del Valle García, Oscar Campos Enriquez

“…Unfortunately, it is not always possible to fulfill these conditions, and in many cases the set of well logs is incomplete. To determine petrophysical parameters (i.e., volumes of laminar, structural and disperse shale) in clastic rocks from incomplete well log data we followed three approaches which are based on a hierarchical model, and on a joint inversion technique: 1) Available well log data (excluding the incomplete well log) are used to train machine learning algorithms to generate a predictive model; 2) the first step of the second approach machine learning algorithms are used to generate the missing data which are subsequently included a joint inversion; 3) in the third approach, machine learning process is used to estimate the missing data which are subsequently included in the prediction of the petrophysical properties. …”
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Validation study of health administrative data algorithms to identify individuals experiencing homelessness and estimate population prevalence of homelessness in Ontario, Canada by Lucie Richard, Stephen W Hwang, Cheryl Forchuk, Rosane Nisenbaum, Kristin Clemens, Kathryn Wiens, Richard Booth, Mahmoud Azimaee, Salimah Z Shariff

“…Two reference standard definitions of homelessness were adopted: the housing episode and the annual housing experience (any homelessness within a calendar year).Main outcome measures Sensitivity, specificity, positive and negative predictive values and positive likelihood ratios of 30 case ascertainment algorithms for detecting homelessness using up to eight health service databases.Results Sensitivity estimates ranged from 10.8% to 28.9% (housing episode definition) and 18.5% to 35.6% (annual housing experience definition). …”
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An advanced fire detection system for assisting visually challenged people using recurrent neural network and sea-horse optimizer algorithm by Fahd N. Al-Wesabi, Abeer A. K. Alharbi, Ishfaq Yaseen

“…This manuscript presents a Smart Fire Detection System for Assisting the Blind Using Attention Mechanism-Driven Recurrent Neural Network and Seahorse Optimizer Algorithm (SFDAB-ARNNSHO). The main intention of the SFDAB-ARNNSHO method is to detect and classify fire for blind people. …”
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An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader study by Inge A. H. van den Berk, Colin Jacobs, Maadrika M. N. P. Kanglie, Onno M. Mets, Miranda Snoeren, Alexander D. Montauban van Swijndregt, Elisabeth M. Taal, Tjitske S. R. van Engelen, Jan M. Prins, Shandra Bipat, Patrick M. M. Bossuyt, Jaap Stoker, The OPTIMACT study group

“…Abstract Background To retrospectively assess the added value of an artificial intelligence (AI) algorithm for detecting pulmonary nodules on ultra-low-dose computed tomography (ULDCT) performed at the emergency department (ED). …”
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Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Monir Abdullah, Samah Al Zanin

“…Abstract Malicious domains are one of the main resources mandatory for adversaries to run attacks over the Internet. …”
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Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework by Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr

“…This study proposes a Self-Attention Mechanism-Driven Federated Learning for Secure Cyberattack Detection with Crocodile Optimization Algorithm (SAMFL-SCDCOA) methodology. The main objective of the SAMFL-SCDCOA methodology is to provide an effective method for preventing cyberattacks in real time using FL and advanced optimization algorithms. …”
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High-efficiency Axial Flow Fan Design by Combining Through-flow Modeling, Optimization Algorithm and Computational Fluid Dynamics Simulation by C. Lee, S. W. Kim, H. T. Byun, S. H. Yang

“…In this study, a high-efficiency axial fan design method and process are proposed by integrating the controlled blading design (CBD) method for the spanwise design of blade angles, the through-flow analysis method incorporating three-dimensional flow effects for performance prediction of the designed fan, and an optimization algorithm suitable for multi-variable problems. The main objective of this study is to obtain the optimal spanwise distribution of blade angles and chord length. …”
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Identification and Correction of Phase Unwrapping Errors in Multitemporal Small Baseline DInSAR Interferograms: A Three-Step Cascade Algorithm by Giovanni Onorato, Claudio De Luca, Francesco Casu, Michele Manunta, Muhammad Yasir, Pasquale Noli, Pasquale Striano, Riccardo Lanari

“…In particular, the proposed algorithm is based on the cascade of three main steps: the first one consists in reducing the amount of pixels and interferograms to be analyzed for the errors identification by generating a novel parameter for the evaluation of the best possible corrections. …”
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Country adoption of WHO 2019 guidance on HIV testing strategies and algorithms: a policy review across the WHO African region by Céline Lastrucci, Cheryl Johnson, Anita Sands, Rachel Baggaley, Muhammad S Jamil, Magdalena Barr-DiChiara, Emmanuel Fajardo, Nayé Bah, Casimir Manzengo Mingiedi, Ndoungou Salla Ba, Fausta Mosha, Frank John Lule, Margaret Alia Samson Paul, Lago Hughes

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