An Evidence-Based Multidisciplinary Approach to the Management of Hepatocellular Carcinoma (HCC): The Alberta HCC Algorithm by Kelly W Burak, Norman M Kneteman

“…The current review article presents an evidence-based approach to the multidisciplinary management of HCC along with a new algorithm for the management of HCC that incorporates the BCLC staging system and the authors’ local selection criteria for resection, ablative techniques, liver transplantation, transarterial chemoembolization, transarterial radioembolization and sorafenib in Alberta.…”
Get full text

Determination of the Optimal Algorithm for the Operation of a Hybrid Power System with a Regulating Generator by Kuznetsov N., Lysenko O.

Get full text

Using BERT and ZFNet/ELM optimized by improved Orca optimization algorithm for sentiment analysis by Jun Yang, Jafar Safarzadeh

“…This method is a key aspect of Natural Language Processing (NLP) that focuses on extraction of patterns and significant features from big volumes of text. This article explores the critical role of sentiment analysis in understanding audience reactions to movies through user-generated reviews. …”
Get full text

Recognition Algorithm of AE Signal of Rock Fracture Based on Multiscale 1DCNN-BLSTM by Weihua Wang

“…Determining the brittle mineral content of rock according to the acoustic emission characteristics of rock is helpful to understand the mechanical behavior of rock in field monitoring. This article constructs a deep learning algorithm model to identify acoustic emission signals released from rock fractures with different brittle mineral contents. …”
Get full text

Optimizing multiprocessor performance in real-time systems using an innovative genetic algorithm approach by Heba E. Hassan, Khaled Hosny Ibrahiem, Ahmed H. Madian

“…In this article, a novel approach for generating task schedules for real-time systems utilizing a Genetic Algorithm is proposed. …”
Get full text

K-means Clustering, Unsupervised Classification, K-NN, Euclidean Distance, Genetic Algorithm by Maaeda Mohsin Rashid

Get full text

Exact algorithm for the problem of the minimum complete spanning tree of a divisible multiple graph by Alexander V. Smirnov

“…The problem of the minimum complete spanning tree of a multiple graph is NP-hard even in the case of a divisible graph. In this article, we obtain an exact algorithm for the problem of the minimum complete spanning tree of a divisible multiple graph. …”
Get full text

A novel multi-label classification algorithm based on -nearest neighbor and random walk by Zhen-Wu Wang, Si-Kai Wang, Ben-Ting Wan, William Wei Song

“…In this article, we propose a novel multi-label classification algorithm based on the random walk graph and the K -nearest neighbor algorithm (named MLRWKNN). …”
Get full text

Dynamic clustering and compressive data gathering algorithm for energy-efficient wireless sensor networks by Ce Zhang, Xia Zhang, Ou Li, Yanping Yang, Guangyi Liu

“…In this article, we proposed a compressed sensing–based dynamic clustering algorithm centred on event source. …”
Get full text

Models and algorithms for decision support and their use in the simulator training of air traffic control specialists by A. M. Matskevich

“…Therefore, within the framework of this article, an analysis of modern simulators for training controllers was carried out, which made it possible to emphasize their identical structural elements. …”
Get full text

Study on Dynamic Interval Power Flow Calculation of Microgrid Based on Monte Carlo Algorithm by Xudong Yuan

“…In order to effectively monitor the stability of the microgrid, based on the advantages of the Monte Carlo algorithm, a dynamic interval power flow calculation method for microgrid is designed. …”
Get full text

A Constrained Multi-Objective Optimization Algorithm with a Population State Discrimination Model by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…However, the limited adaptability of specific constraint-handling techniques (CHTs) has hindered the widespread applicability of constrained multi-objective evolutionary algorithms (CMOEAs). To overcome this limitation, this article proposes a population state-based CMOEA. …”
Get full text

Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State by Fazliddin Makhmudov, Dilmurod Turimov, Munis Xamidov, Fayzullo Nazarov, Young-Im Cho

“…Drowsiness while driving is a major factor contributing to traffic accidents, resulting in reduced cognitive performance and increased risk. This article gives a complete analysis of a real-time, non-intrusive sleepiness detection system based on convolutional neural networks (CNNs). …”
Get full text

Optimal sensor placements using modified Fisher information matrix and effective information algorithm by Eun-Taik Lee, Hee-Chang Eun

“…This article presents an optimal sensor placement algorithm for modifying the Fisher information matrix and effective information. …”
Get full text

A new metaheuristic algorithm for solving multi-objective single-machine scheduling problems by Khraibet Tahani Jabbar, Kalaf Bayda Atiya, Mansoor Wafaa

“…To address these challenges, this article introduces the meerkat clan algorithm (MCA), inspired by the dynamic, cooperative, and adaptive behaviors of meerkats, which enhances the exploration and exploitation of solution spaces. …”
Get full text

Clinical TNM Lung Cancer Staging: A Diagnostic Algorithm with a Pictorial Review by Ivana Kuhtić, Tinamarel Mandić Paulić, Lucija Kovačević, Sonja Badovinac, Marko Jakopović, Margareta Dobrenić, Maja Hrabak-Paar

Get full text

A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization by Yingjia Sun, Hongfeng Ren

“…In this article, a penalty function based on graph density (GD) was introduced to the particle swarm optimization algorithm (PSO), and a GD-PSO algorithm was proposed. …”
Get full text

Comparison and Prediction of Breast Cancer Using Discriminant Analysis Algorithm in Active and Inactive Women by Leila Fasihi, Hamid Agha-Alinejad, Reza Gharakhanlou, Francisco J. Amaro Gahete

“…Data mining provides the possibility of analyzing clinical data of patients for medical decision-making. The aim of this article was to compare and predict breast cancer using the differential analysis algorithm in active and inactive women. …”
Get full text

A Computationally-Efficient Data-Driven Safe Optimal Algorithm Through Control Merging by Marjan Khaledi, Bahare Kiumarsi

Get full text

Comparative analysis of the performance of selected machine learning algorithms depending on the size of the training sample by Kupidura Przemysław, Kępa Agnieszka, Krawczyk Piotr

“…The article presents an analysis of the effectiveness of selected machine learning methods: Random Forest (RF), Extreme Gradient Boosting (XGB), and Support Vector Machine (SVM) in the classification of land use and cover in satellite images. …”
Get full text