Algorithmic indexing in MEDLINE frequently overlooks important concepts and may compromise literature search results by Alexandre Amar-Zifkin, Taline Ekmekjian, Virginie Paquet, Tara Landry

“…Indexing was performed by the Medical Text Indexer-Auto (MTIA) algorithm. The primary outcome measure is the number of records for which the MTIA algorithm assigned subject headings that represented the main concepts of the publication.  …”
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Evaluating Label Encoding and Preprocessing Techniques for Breast Cancer Prediction Using Machine Learning Algorithms by Mukesh Kumar, Vivek Bhardwaj

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CLASSIFICATION AND PREDICTION OF BENTHIC HABITAT FROM SCIENTIFIC ECHOSOUNDER DATA: APPLICATION OF MACHINE LEARNING ALGORITHMS by Baigo HAMUNA, Sri PUJIYATI, Jonson Lumban GAOL, Totok HESTIRIANOTO

“… This study aims to map three main benthic habitats (coral, seagrass, and sand) in Kapota Atoll (Wakatobi, Indonesia) using single-beam echosounder (SBES) Simrad EK15. …”
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Improving Performance of the Convolutional Neural Networks for Electricity Theft Detection by using Cheetah Optimization Algorithm by Hassan Ghaedi, Seyed Reza Kamel Tabbakh, Reza Ghaemi

“…Meta-heuristic-based search methods are suitable for solving these problems. Therefore, the main contribution of this paper is to use the high ability of the cheetah optimization algorithm (CHOA) to optimally extract CNN hyper-parameters. …”
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Prospects of Pharmacogenetic Testing for Design of Algorithms for Personalized Treatment of Tuberculosis of Respiratory Organs in the Astrakhan Region by B. I. Kantemirova, Kh. M. Galimzyanov, N. A. Stepanova, A. Kh. Chernysheva, Z. A. Alieva

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Aspect-Based Sentiment Analysis with LDA and IndoBERT Algorithm on Mental Health App: Riliv by Firda Ayu Dwi Aryanti, Ardytha Luthfiarta, Dennis Adiwinata Irwan Soeroso

“…This study used 3068 reviews from September 2015 to December 2024. The main results obtained were 1) Identified the sentiment that positive is highest in 2020, neutral is highest in 2020, and negative is highest in 2018. 2) Identified 4 main aspects of the Riliv application: Access Support, Counseling Services, Meditation Features, and User Interface with LDA. 3) The majority distribution was negative on User Interface, neutral on Counseling Services, and positive on Meditation Features. 4) The effectiveness of IndoBERT compared to the non-transformer baseline algorithm. 5) The most optimal results were obtained with 70% training, 10% validation, and 20% testing, resulting in 95% accuracy.…”
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NMCT: A Novel Monte Carlo-Based Tracking Algorithm Using Potential Proximity Information by Qiang Niu, Tian Huan, Pengpeng Chen

“…Currently, many services benefit greatly from the availability of accurate tracking. …”
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Diagnostic and treatment algorithm for anaphylactic shock of the Self-regulatory organization of the “National board of phlebologists” Association by article Editorial

“…Many phlebologists today work in ambulatory settings, using both local anesthetics and sclerosants. …”
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Fault Diagnosis Method of Wind Turbine Pitch Angle Based on PCA-KNN Fusion Algorithm by Xi CHEN, Luping LI, Rui LIU, Bo YANG, Zihao DENG, Zhonggui LI

“…With regard to the four main fault types of the pitch angle of a wind turbine pitch system and the data analysis of the wind turbine, an identification method of abnormal pitch angles of a wind turbine is proposed, depending on nonparametric kernel density estimation and Relief-F based feature extraction for data processing and the PCA-KNN fusion algorithm for fault diagnosis. …”
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ANALYTICAL MODEL OF NOISE STABILITY CALCULATION OF SYSTEMS WITH MULTIPOSITIONAL MODULATION AND CODING BY REED-SOLOMON ALGORITHM by E. B. Lipkovich, V. A. Kovshik, A. A. Serchenya

“…The calculated ratios presented in the article include only the main parameters of the code (free distance, codeword length, relative code speed) and of the modulation type (modulation order, squared noise immunity). …”
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A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization Algorithm by Mohammad Parpaei, Hossein Askarian-Abyaneh, Farzad Razavi

“…The main advantage of the presented algorithm is the parallel estimation processing to improve the convergence speed and the accuracy of the objective function of the fault location, and was applied to various fault types and various operating conditions to validate the performance of the proposed approach. …”
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Low-complexity likelihood probability derivation algorithm for non-binary LDPC-coded modulation system by Guang-hua HE, Bao-ming BAI, Xiao MA, Bing LI

“…The derivation of likelihood probabilities which are sent into the decoder in many LDPC-coded modulation systems is a challenging task especially when high-order modulations are used.This is because likelihood probabilities are usually complicated functions of the channel output and their calculation also requires knowledge of the channel parameters.To this end,a low-complexity likelihood probability derivation algorithm was proposed.Also,the Euclidean distance between the received signal and the constellation points was considered to divide the constellation points into two signal sets.Simulation results show that the proposed algorithm provides good trade-offs between performance and complexity,making it a good candidate for the hardware implementation of the front-end in the non-binary LDPC decoders.…”
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Brazilian exports imputation: A new algorithm for estimating the municipal production directed at the foreign market by Alan Leal, Michelle Marcia Viana Martins

“… This paper aims to present a new algorithm to estimate Brazilian municipalities exports at the HS6 level. …”
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Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizer by Xiaoqiang ZHAO, Shuai WU, Chuanyi GAO, Ning LI, Bodong LI, Xiaoyong YANG

“…Node location is an important problem in wireless sensor network.Although the location algorithm based on distance measurement has small positioning error, it has many limitations when applied to outdoor environments.Therefore, based on the original distance vector-hop (DV-Hop) algorithm, received signal strength indication (RSSI) technology and the minimum mean square error (MMSE) criterion to modify the algorithm’s ranging process were introduced, and the improved gray wolf optimizer was used to optimize the process of determining the coordinates of unknown nodes.Simulation results show that, compared with the original DV-Hop algorithm and IPDV-Hop algorithm, the average location error rate of the IGDV-Hop algorithm under the initial parameters was reduced by 28% and 17% respectively, and the location effect was significantly improved.…”
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A Distributed Weighted Possibilistic c-Means Algorithm for Clustering Incomplete Big Sensor Data by Qingchen Zhang, Zhikui Chen

“…Possibilistic c-means clustering algorithm (PCM) has emerged as an important technique for pattern recognition and data analysis. …”
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Relaxed Iterative Algorithms for Generalized Mixed Equilibrium Problems with Constraints of Variational Inequalities and Variational Inclusions by Lu-Chuan Ceng, Chi-Ming Chen, Ching-Feng Wen, Chin-Tzong Pang

“…We introduce and analyze a relaxed extragradient-like viscosity iterative algorithm for finding a solution of a generalized mixed equilibrium problem with constraints of several problems: a finite family of variational inequalities for inverse strongly monotone mappings, a finite family of variational inclusions for maximal monotone and inverse strongly monotone mappings, and a fixed point problem of infinitely many nonexpansive mappings in a real Hilbert space. …”
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Iterative Algorithms for Systems of Generalized Equilibrium Problems with the Constraints of Variational Inclusion and Fixed Point Problems by Lu-Chuan Ceng, Abdul Latif, Abdullah E. Al-Mazrooei

“…We introduce and analyze a hybrid extragradient-like viscosity iterative algorithm for finding a common solution of a systems of generalized equilibrium problems and a generalized mixed equilibrium problem with the constraints of two problems: a finite family of variational inclusions for maximal monotone and inverse strongly monotone mappings and a fixed point problem of infinitely many nonexpansive mappings in a real Hilbert space. …”
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Automated weed and crop recognition and classification model using deep transfer learning with optimization algorithm by K. Gopalakrishnan, R. Sivaraj, M. Vijayakumar

“…In the proposed AWRC-DLMLO technique, the main phase of Gaussian filtering (GF) utilizing image pre-processing is implemented to eliminate unwanted noise. …”
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BHT-QAOA: The Generalization of Quantum Approximate Optimization Algorithm to Solve Arbitrary Boolean Problems as Hamiltonians by Ali Al-Bayaty, Marek Perkowski

“…Accordingly, the BHT-QAOA will provide broad opportunities to solve many classical Boolean-based problems as Hamiltonians, for the practical engineering applications of several algorithms, digital synthesizers, robotics, and machine learning, just to name a few, in the hybrid classical-quantum domain.…”
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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

“…There has been general agreement that the impredicative, self-referential, and complex nature of living systems negates an algorithmic approach. Rosen’s main goal was to answer, “What is Life?”. …”
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