Measurement of the Efficiency of Parallel Genetic Algorithm for Compress and Decompression of Fractal Imaging Using Multiple Computers by Shahla Abdul Qadir

“…The searching method used for the parallel algorithm for compression and decompression , the method of choosing GA's coefficients, (selection, crossover  and mutation) were of a  significant role in improving the image compression ratio and quality for images in high speed that has reached 15_s , compression ratio has reached  91.68% , while the image quality was improved after decompression  and has  reached  roughly 34.81  compared to traditional method of  fractal image coding (FIC) where the compression ratio has reached 83.87% and image quality 31.79 with algorithm implementation speed reached 28_s.…”
Get full text

Radioactive pollution of the Chernobyl cooling pond bottom sediments. II. Distribution of 137Cs, 241Am, 90Sr in a solid phase by L. S. Pirnach

“…Distribution coefficients 137Cs and 90Sr, selectivity coefficients of their exchange with similar cations and physical-chemical forms are defined. …”
Get full text

Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI by H. Kim, H. Kim, X. Chen, X. Chen, J. Wang, J. Wang, J. Wang, J. Wang, Z. Lu, Z. Lu, Z. Lu, M. Zhou, G. R. Carmichael, G. R. Carmichael, S. S. Park, J. Kim

“…Although aerosol vertical structures can be complex, assuming a certain shape for the aerosol vertical profile allows for the retrieval of a single parameter – aerosol layer height (ALH) – from passive remote sensing measurements. …”
Get full text

Determination of the inter-repair cycle of production boreholes for underground uranium leaching by Yu. А. Arsentiev, A. P. Nazarov, N. V. Soloviev, D. А. Ivanov, А. G. Ivanov

“…This work is an attempt to analytically develop the main indicator of the duration of the overhaul cycle of the operation of technological wells to determine the frequency of repair and restoration work (RVR) depending on the intensity of the decline in the productivity of borehole in situ leaching (IIL) wells and the coefficient for selecting an effective type of complexes of technical means and technological methods for carrying out RVR.Materials and methods. …”
Get full text

Investigating the psychometric properties of the Iranian version of the Post- Secondary Student Stressors Index by Majid Yousefi Afrashteh, Seyedeh Mohadeseh Sadidi Shal

“…Nowadays, due to the complexity of societies, many factors cause stress. …”
Get full text

SPBO-ANFIS Model of Combined Monthly Runoff Forecasting Based on Singular Spectrum Analysis by ZHANG Yajie, CUI Dongwen

“…In view of the multi-scale non-stationarity and other characteristics of monthly runoff in hydrological time series,this paper proposes a singular spectrum decomposition (SSD)-based model of combined monthly runoff forecasting that integrates the student psychology based optimization (SPBO) algorithm with the adaptive network based fuzzy inference system (ANFIS),namely the SSD-SPBO-ANFIS model.This model is then applied to the monthly runoff forecasting at a hydrological station in Yunnan Province.Specifically,time series data of sample monthly runoff are decomposed into various independent sub-series components through SSD to reduce the complexity of the time series data;then,the principle of the SPBO algorithm is outlined,and eight standard functions are selected for simulation verification and comparison of the SPBO algorithm;finally,the SPBO algorithm is employed to optimize the ANFIS condition and conclusion parameters.The SSD-SPBO-ANFIS model is built to forecast each sub-series,which is then superimposed to obtain the final monthly runoff forecasting result.In addition,the results of the proposed model are compared with those of the ensemble empirical mode decomposition (EEMD)-based EEMD-SPBO-ANFIS model and the SPBO-ANFIS model without decomposition.The following observations can be made from the results:The SPBO algorithm has favorable optimization accuracy;with a mean absolute percentage error of 5.57%,a mean absolute error of 0.20 m³/s,a Nash coefficient of 0.994 8,and a pass rate of 96.7%,the SSD-SPBO-ANFIS model has an effect better than that of the EEMD-SPBO-ANFIS model and far better than that of the SPBO-ANFIS model in forecasting sample monthly runoff.The proposed model and method can provide references for related research on hydrological time series forecasting.…”
Get full text

Effect of Enzyme on Chromed Leather Dyeing With Acidic Dyes by Renata Biškauskaitė-Ulinskė, Virgilijus Valeika

“…Leather dyeing is a difficult task due to its heterogeneity and complexity. Several studies are aimed at improving the effectiveness of dyeing, including process optimization, use of dye auxiliaries, ultrasound, liposomes, and enzymes. …”
Get full text

2D nonlinear seismic response characteristics of a megacity-scale site under Ricker wavelets by Wei Ren, Yan-Zhen Wang, Jiao Zhu, Ding-Feng Zhao, Qi Wu, Guo-Xing Chen

“…Ricker wavelets with varying peak times, peak frequencies (f p), and amplitudes were selected as input bedrock motions. The analysis revealed the spatial distribution characteristics of 2D nonlinear seismic effects on the surface of deep and complex sedimentary layers. …”
Get full text

Efficient removal of uranium (VI) from environmental water samples by cyclodextrin-intercalated layered double hydroxide-coated magnetic nanoparticles by Ali Esrafili, Mahnaz Ghambarian, Mahmood Yousefi, Najmeh Yazdanfar

“…Under the optimized conditions, the removal efficiency of as high as 96.21%, as well as the adsorption capacity of 461.89 mg g− 1, were obtained showing the desirable performance of the synthesized nano-adsorbent in Uranium (VI) removal from aqueous solutions. The selectivity of the adsorbent was evaluated by calculating distribution coefficients for Uranium (VI) and some interfering ions. …”
Get full text

The development and validation of an easy to use automatic QT-interval algorithm. by Ben J M Hermans, Arja S Vink, Frank C Bennis, Luc H Filippini, Veronique M F Meijborg, Arthur A M Wilde, Laurent Pison, Pieter G Postema, Tammo Delhaas

“…<h4>Results</h4>After visual inspection of the randomly selected complexes, 21 complexes were excluded because of evident noise, too flat T-waves or premature ventricular beats. …”
Get full text

Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network by Kai Bai, Siyi Jin, Zhaoshuo Zhang, Shengsheng Dai

“…Initially, data are denoised using the Savitzky–Golay filter, and five correlation coefficient methods are employed to select input features, with principal component analysis (PCA) used to reduce model complexity. …”
Get full text

RMFKAN: Network Spammers Detection Method Based on Improved Graph Mamba by WANG Yuzhe, YAN Jinghua, BU Fanliang, WANG Yifan, LI Jia, HAN Zhuxuan

“…Specifically, subgraphs are tokenized by the random walk strategy, message passing neural networks are input to independently handle different types of edges, and features are enhanced by KAN improved with Fourier coefficients. The feature matrix is input into Bi-Mamba to improve the ability of capturing long-distance dependencies and effectively reduce training complexity. …”
Get full text

3D medical image segmentation using the serial–parallel convolutional neural network and transformer based on cross‐window self‐attention by Bin Yu, Quan Zhou, Li Yuan, Huageng Liang, Pavel Shcherbakov, Xuming Zhang

“…The transformer can extract the global information well but adapting it to small medical datasets is challenging and its computational complexity can be heavy. In this work, a serial and parallel network is proposed for the accurate 3D medical image segmentation by combining CNN and transformer and promoting feature interactions across various semantic levels. …”
Get full text

Non-Linear Synthetic Time Series Generation for Electroencephalogram Data Using Long Short-Term Memory Models by Bakr Rashid Alqaysi, Manuel Rosa-Zurera, Ali Abdulameer Aldujaili

“…Increasing these values did not improve MSE or cross-correlation and unnecessarily increased computational complexity. The proposed model’s performance was evaluated using the mean-squared error (MSE), Pearson’s correlation coefficient, and the power spectra of the synthetic and original signals, demonstrating the suitability of the proposed method for this application. …”
Get full text

CEEMDAN-Based Permutation Entropy: A Suitable Feature for the Fault Identification of Spiral-Bevel Gears by Lingli Jiang, Hongchuang Tan, Xuejun Li, Liman Chen, Dalian Yang

“…The IMFs which included greater amounts fault information are selected as the optimal IMFs based on the correlation coefficient. …”
Get full text

Link stability - based optimal routing path for efficient data communication in MANET by Renisha Pulinchuvallil Salim, Rajesh Ramachandran

“…The paper delves into the complexities of Mobile Ad hoc Networks (MANETs), which consist of a diverse array of wireless nodes. …”
Get full text

Development of machine learning-based standalone GUI application for predicting hydraulic conductivity and compaction parameters of lateritic soils by Lateef Bankole Adamolekun, Muyideen Alade Saliu, Abiodun Ismail Lawal, Ismail Adeniyi Okewale

“…Hydraulic conductivity and compaction parameters are the key considerations in selecting lateritic soils for engineering construction. …”
Get full text

Development of Cellulosic Paper-Based Test Strips for Mercury(II) Determination in Aqueous Solution by Shoujuan Wang, Zhen Xu, Yongyi Fang, Zhongming Liu, Xin Zhao, Guihua Yang, Fangong Kong

“…The calibration curve was obtained by the absorbency of Hg2+-dithizone complexes from different Hg2+ concentration solutions, and the correlation coefficient (R2) reached 0.9971. …”
Get full text

Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System. by Vessela Krasteva, Irena Jekova, Remo Leber, Ramun Schmid, Roger Abächerli

“…CT has superior accuracy by 0.3-6.8% points, with the advantage for easy model complexity configuration by pruning the tree consisted of easy interpretable 'if-then' rules.…”
Get full text

Heart Sound Classification Using Harmonic and Percussive Spectral Features from Phonocardiograms with a Deep ANN Approach by Anupinder Singh, Vinay Arora, Mandeep Singh

“…The feature set comprises 164 attributes, including the Chroma STFT, Chroma CENS, Mel-frequency cepstral coefficients (MFCCs), and statistical features. These are refined using the ROC-AUC feature selection method to ensure optimal performance. …”
Get full text