Simulation of Novel NEMS Contact Switch Using MRTD with Alterable Steps by Wen-Ge Yu, Kang-Qu Zhou, Zheng-Zhong Wu, Ting-Hong Yang, Jing Zhao

“…The major advantage of the MRTD algorithms is their capability to develop real-time time and space adaptive grids through the efficient thresholding of the wavelet coefficients. …”
Get full text

Use of Machine Learning Models for Prediction of Organic Carbon and Nitrogen in Soil from Hyperspectral Imagery in Laboratory by Manuela Ortega Monsalve, Mario Cerón-Muñoz, Luis Galeano-Vasco, Marisol Medina-Sierra

“…The application of spectroscopic techniques and the use of machine learning algorithms have made it possible to calibrate models capable of predicting the number of elements present in the soil. …”
Get full text

Quantitative evaluation of intensity fidelity of super-resolution reconstruction for structured illumination microscopy by Yujun Tang, Linbo Wang, Gang Wen, Hui Li

“…Although many SIM reconstruction algorithms have been developed to recover fine cellular structures with high fidelity even from the noisy data, whether the pixel intensities of reconstructed SR images are still proportional to the original fluorescence intensity has been less explored. …”
Get full text

Improved Support Vector Machine and Image Processing Enabled Methodology for Detection and Classification of Grape Leaf Disease by Arshiya S. Ansari, Malik Jawarneh, Mahyudin Ritonga, Pragti Jamwal, Mohammad Sajid Mohammadi, Ravi Kishore Veluri, Virendra Kumar, Mohd Asif Shah

“…Image denoising is conducted using the mean function, image enhancement is performed using the CLAHE method, pictures are segmented using the fuzzy C Means algorithm, features are retrieved using PCA, and images are eventually classed using the PSO SVM, BPNN, and random forest algorithms. …”
Get full text

Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…We utilized several machine-learning algorithms, including Support Vector Machine (SVM), Naive Bayes (NB), Random Forest (RF), and Logistic Regression (LR), and extracted a considerable number of handcrafted features. …”
Get full text

Exploring High School Students' Mathematical Reasoning in Geometry Using GeoGebra-Assisted Problem-Based Learning by Humam Nuralam, Al Jupri, Wenda Alifulloh

“…GeoGebra assists students in visually constructing three-dimensional geometry problems and evaluating the outcomes of algebraic algorithms with 3D graphical representations. …”
Get full text

Performance Evaluation and Disruption Recovery for Military Supply Chain Network by Biao Xiong, Rong Fan, Shuai Wang, Bixin Li, Can Wang

“…By applying the model and algorithms to a POL supply network in a theater, we obtain the values of supply capability and disruption recovery against different disruptions. …”
Get full text

Targeted Advertising in Social Media Platforms Using Hybrid Convolutional Learning Method besides Efficient Feature Weights by Seyed Mohsen Ebadi Jokandan, Peyman Bayat, Mehdi Farrokhbakht Foumani

“…Using accuracy, recall, F-measure, and precision metrics, we compared our algorithm to standard techniques such as SVM, Logistic regression, Naïve Bayes, and CNN. …”
Get full text

Establishment of Trust in Internet of Things by Integrating Trusted Platform Module: To Counter Cybersecurity Challenges by Mohammad Faisal, Ikram Ali, Muhammad Sajjad Khan, Su Min Kim, Junsu Kim

“…In the end, we integrated the trusted platform module in the IOT architecture to establish the trust in IOT computing and to enhance the cybersecurity challenges and evaluated it with the help of mathematical/algorithms/graph theory/matrices and logical diagrams.…”
Get full text

Globality-Locality Preserving Maximum Variance Extreme Learning Machine by Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Dongyu Zhang, Shaowu Zhang, Xiaochao Fan, Chen Shen, Deqin Yan

“…The experimental results show that the proposed model achieves promising results compared to several state-of-the-art ELM algorithms.…”
Get full text

Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming by Hasan Musaab Falih, Sodani Noor A. Abdul-Jabbar Al, Salih Jihan Maan, Mohammed Sawsan Rasheed

“…Sequential quadratic programming algorithms (SQP) generate workable schedules that optimally use available resources. …”
Get full text

Potential impact of coronaviruses upon cardiovascular system under COVID-19 pandemic by L.O. Tkachenko, O.A. Yepanchintseva, B.M. Todurov

“…There are no clear algorithms and recommendations for the treatment of such patients in a pandemic and differ in different countries. …”
Get full text

Elimination of voltage and frequency deviations, suppression of chaotic oscillations in power system with distributed generation by B. A. Kosarev, V. K. Fedorov

“…The operation of the algorithm by modeling in a SymPowerSystems (MatLab) software package is shown. …”
Get full text

Studies of biofilms and phenotypic characteristics of Candida fungi by E. M. Lenchenko, N. P. Sachivkina

“…The search and testing of multilevel algorithms for biofilm identification when exposed to chemotherapeutic and disinfectant drugs for blocking the synthesis or destruction of the intercellular matrix in the development of superficial, deep and systemic candidiasis of animals are relevant for developing and improving diagnostic and antiepidemic measures. …”
Get full text

Translation Invariance-Based Deep Learning for Rotating Machinery Diagnosis by Wenliao Du, Shuangyuan Wang, Xiaoyun Gong, Hongchao Wang, Xingyan Yao, Michael Pecht

“…Although deep learning algorithms can automatically learn a good set of features without manual intervention, the lack of domain knowledge greatly limits the performance improvement, especially for nonstationary and nonlinear signals. …”
Get full text

Optimal capacity planning with economic emission considerations in isolated solar-wind-diesel microgrid using combined arithmetic-golden jackal optimization by Sujoy Barua, Adel Merabet, Ahmed Al-Durra, Tarek El Fouly, Ehab F. El-Saadany

“…The results demonstrate significant cost savings using the solar-wind-diesel microgrid under the proposed combined optimization compared to the arithmetic optimization algorithm and golden jackal algorithm and conventional metaheuristic optimization based on genetic algorithms.…”
Get full text

Strategic priorities and challenges in research software funding: Results from an international survey [version 2; peer review: 2 approved, 1 approved with reservations, 1 not appr... by Daniel S. Katz, Eric A. Jensen

“…It spans a broad spectrum, including source code files, algorithms, scripts, computational workflows, and executables, all created for or during research. …”
Get full text

Detection of Jihadism in Social Networks Using Big Data Techniques Supported by Graphs and Fuzzy Clustering by Cristina Sánchez-Rebollo, Cristina Puente, Rafael Palacios, Claudia Piriz, Juan P. Fuentes, Javier Jarauta

“…Then, fuzzy clustering techniques were used to classify users in profiles, with the advantage over other classifications techniques of providing a probability for each profile instead of a binary categorization. Algorithms were tested using public database from Kaggle and other Twitter extraction techniques. …”
Get full text

Diagnostic efficacy of serological and epigenetic methods of screening diagnostics of colorectal cancer by O. I. Kit, D. V. Burtsev, A. Yu. Maksimov

“…Development of adequate screening and diagnostic algorithms on colorectal cancer detection.Material and methods. …”
Get full text

Application of Supply-Demand-Based Optimization for Parameter Extraction of Solar Photovoltaic Models by Guojiang Xiong, Jing Zhang, Dongyuan Shi, Xufeng Yuan

“…The experimental results comparing with ten state-of-the-art algorithms demonstrate that SDO performs better or highly competitively in terms of accuracy, robustness, and convergence. …”
Get full text