Using the clustering method to find the final environmental parameters coefficients in road construction projects by Eshagh Rasouli Sarabi, Ramin Vafaei Poursorkhabi, Mehdi Ravanshadnia

“…In the first phase, the Genetic Optimization Algorithm was implemented to determine convenient coefficients for the relevant parameters. …”
Get full text

An improved Fully Homomorphic Encryption model based on N-Primes by Mohammed Anwar Mohammed, Fadhil Salman Abed

“…The security of the presumptive algorithm to be more efficient in front of the security challenges facing cloud computing. …”
Get full text

Studi Komparasi Naive Bayes, K-Nearest Neighbor, dan Random Forest untuk Prediksi Calon Mahasiswa yang Diterima atau Mundur by Puteri Sejati, Munawar Munawar, Marzuki Pilliang, Habibullah Akbar

“…The results showed that the Random Forest algorithm was the best with an accuracy of 73.61%, compared to K-Nearest Neighbor with an accuracy of 72.08%, and Naive Bayes with an accuracy of 70.47%. …”
Get full text

MSVPWM Based-SAPF For Harmonic Mitigation in The Distribution Network Under Unbalanced Condition by Haider Muhamad Husen, Salar Ahmed Qadir

“…In this work, synchronous reference frame (d-q) algorithm is selected to detect the harmonic current components, Proportional-integral (PI) controller is utilized to ameliorate the storage of energy in the dc-link capacitor and the multilevel space vector pulse width modulation (MSVPWM) strategy determines the switching pulses of NPC inverter. …”
Get full text

Capacity Compensation Price Accounting of Coal-Fired Units Under the Background of New Power System by WANG Yongli, GUO Wenhui, LI Yuyang, GUO Lu, ZHANG Yuze

“…Second， the K-means clustering algorithm was used to determine the probability of power generation of coal-fired units， and a capacity compensation electricity price model considering the fixed cost， capacity subsidy factor， and profit and loss balance point utilization hours was constructed. …”
Get full text

Clustering and Network Analysis of Mobility Patterns as an Analysis Tool for Lean Project by András Rácz-Szabó, Tamás Ruppert, János Abonyi

“…Utilizing a novel two-step methodology, the research first employs a modified DBSCAN algorithm to analyze indoor positioning data and categorize activities. …”
Get full text

Multi-INTACT: integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits by Jeffrey Okamoto, Xianyong Yin, Brady Ryan, Joshua Chiou, Francesca Luca, Roger Pique-Regi, Hae Kyung Im, Jean Morrison, Charles Burant, Eric B. Fauman, Markku Laakso, Michael Boehnke, Xiaoquan Wen

“…Abstract We present multi-integration of transcriptome-wide association studies and colocalization (Multi-INTACT), an algorithm that models multiple “gene products” (e.g., encoded RNA transcript and protein levels) to implicate causal genes and relevant gene products. …”
Get full text

Application of the Critical Path Method in Project Planning and Management. by Kateu, Victor

“…A weighted digraph was drawn to represent the relationship between the activities, the weights on each arrow (edge) represented the duration of the project, and vertices (nodes) represented the various activities. The longest path algorithm was then applied to establish the duration of the project and the critical path activities. …”
Get full text

Dynamic control of a 10 MW solar-autothermal hybrid biomass gasifier for round-the-clock processing with stable syngas production by Axel Curcio, Sylvain Rodat, Valéry Vuillerme, Stéphane Abanades

“…A Model Predictive Control (MPC) algorithm is thus implemented, and the feasibility of hybridized operation is demonstrated on a second-per-second basis. …”
Get full text

Comparison of Satellite-based PM2.5 Estimation from Aerosol Optical Depth and Top-of-atmosphere Reflectance by Heming Bai, Zhi Zheng, Yuanpeng Zhang, He Huang, Li Wang

“…For both reflectance-based and AOD-based approaches, our cross validated results show that random forest algorithm achieves the best performance, with a coefficient of determination (R2) of 0.75 and root-mean-square error (RMSE) of 18.71 µg m−3 for the former and R2 = 0.65 and RMSE = 15.69 µg m−3 for the later. …”
Get full text

Forecasting mental states in schizophrenia using digital phenotyping data. by Thierry Jean, Rose Guay Hottin, Pierre Orban

“…Besides it remains unclear which machine learning algorithm is best suited for forecast tasks, the eXtreme Gradient Boosting (XGBoost) and long short-term memory (LSTM) algorithms being 2  popular choices in digital phenotyping studies. …”
Get full text

A method for identifying surface contamination components of composite insulators based on hyperspectral imaging by MIAO Jin, QIN Jun, CHEN Junyu, WU Junfeng, REN Ming, LIU Runyu

“…Finally， the kernel support vector machine （KSVM） algorithm is employed to identify the pixel features of the seven contamination components. …”
Get full text

Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

“…Furthermore, we have incorporated a tailored Differential Evolution (DE) algorithm designed to navigate the complex hyperparameter space with finesse. …”
Get full text

Population features of prevalence and clinical-diagnostic role of NOD2 gene polymorphisms associated with Crohn’s disease by D. A. Kuznetsova, M. V. Merzlyakov, G. V. Vavin, A. S. Razumov, V. L. Emanue

“…It will allow not only to increase efficacy of early diagnosis and the CD risk prognosis, but to define environmental factors affecting clinical utilization of genetic factors that is a premise for development of pathogenic justified management algorithm encompassing both populationbased and regional factors.…”
Get full text

Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique by Hafiz Ghulam Murtza Qamar, Xiaoqiang Guo, Ehab Seif Ghith, Mehdi Tlija, Abubakar Siddique

“…The achieved results and numerical analysis affirm the superiority of the proposed technique compared to other traditional methods like mixed integer linear programming (MILP), HOMER, Variable mesh optimization (VMO), and Cataclysmic genetic algorithm in optimizing component sizing, renewable production, hydrogen production, reliability, cost effective, and overall efficacy. …”
Get full text

Image Quality Assessment Based on Multi-Scale Representation and Shifting Transformer by Geng Fu, Ziyu Wang, Cuijuan Zhang, Zerong Qi, Mingzheng Hu, Shujun Fu, Yunfeng Zhang

“…Image Quality Assessment (IQA) is a crucial metric for intelligent control systems and computer vision tasks, such as surveillance, restoration, and fingerprint identification, significantly advancing algorithm development in these areas. Recently, transformer-based algorithms have excelled in computer vision, particularly in image classification, surpassing convolutional neural network (CNN) methods. …”
Get full text

Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

“…The work first establishes a Random Forest Regression (RFR) model. The RFR algorithm integrates Bagging ensemble learning and random subspace theory to construct multiple decision trees and aggregate their predictions, thereby enhancing the model’s prediction accuracy and stability. …”
Get full text

The diagnostic performance evaluation of the SD BIOLINE HIV/syphilis Duo rapid test in southern Ethiopia: a cross-sectional study by Techalew Shimelis, Endale Tadesse

“…Individuals <15 years of age or syphilis treated or those with ≤50 cells/µL CD4 cell count were originally excluded.Outcome measures HIV screening was carried out according to the national rapid diagnostic testing (RDT) algorithm: Shenghai Kehua Bioengineering (KHB) test kit as a screening test, followed by the HIV1/2 STAT-PAK assay if positive. …”
Get full text

Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

“…The performance of ML models trained with significant predictors (fewer in number than the number of all predictors, chosen based on recursive feature elimination algorithm) was comparable to that of the ‘all predictors’ trained models (except for RF). …”
Get full text

Influence of MHC on genetic diversity and testicular expression of linked olfactory receptor genes by Mingue Kang, Byeongyong Ahn, Jae Yeol Shin, Hye-Sun Cho, Jongan Lee, Chankyu Park

“…We observed significantly higher allelic diversity (P < 0.01) in ORs with strong linkage disequilibrium (LD) to SLA compared to those with weak or no LD, and we identified 48 SLA class I-OR haplotypes using the expectation-maximization algorithm. The genetic diversity of SLA-linked ORs was positively correlated with their expression levels in the testis. …”
Get full text