The Evaluation of LSB Steganography on Image File Using 3DES and MD5 Key by Ilham Firman Ashari, Eko Dwi Nugroho, Dodi Devrian Andrianto, M. Asyroful Nur Maulana Yusuf, Makruf Alkarkhi

“…This study proposes the utilization of LSB (Least Significant Bit) steganography on image files employing the 3DES (Triple Data Encryption Standard) algorithm. The aim is to facilitate secure transmission and reception of data, including confidential messages, within digital information media. …”
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Fast Detection of Deceptive Reviews by Combining the Time Series and Machine Learning by Minjuan Zhong, Zhenjin Li, Shengzong Liu, Bo Yang, Rui Tan, Xilong Qu

“…Secondly, a co-training two-view semisupervised learning algorithm was performed in each captured interval, in which linguistic cues, metadata, and user purchase behaviors were synthetically employed to classify the reviews and check whether they are spam ones or not. …”
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Recent Progress about Flight Delay under Complex Network by Tang Zhixing, Huang Shan, Han Songchen

“…This may be achieved by analyzing flight delay in frequency domain instead of time domain. (4) Summation of most critical nodes/edges may not be the most crucial group to network resilience or flight delay propagations. Effective algorithm for most influential sequence is to be developed.…”
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Assessing Hydropower Potential in Nepal’s Sunkoshi River Basin: An Integrated GIS and SWAT Hydrological Modeling Approach by Rinki Bhattarai, Binaya Kumar Mishra, Deepa Bhattarai, Dipendra Khatiwada, Pankaj Kumar, Gowhar Meraj

“…The Sequential Uncertainty Fitting Version 2 (SUFI-2) algorithm, integrated within the SWAT Calibration and Uncertainty Program (SWAT-CUP), was employed to calibrate and validate the model. …”
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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach by Faqeer ur Rehman, Clemente Izurieta

“…Furthermore, we also propose an MRs minimization algorithm for the CUT, thus saving computational costs and organizational testing resources.…”
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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. …”
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Effects of Regional Trade Agreement to Local and Global Trade Purity Relationships by Siyu Huang, Wensha Gou, Hongbo Cai, Xiaomeng Li, Qinghua Chen

“…Here, we separate the influence of geographical distance, economic volume, and overall increase in transportation and labor costs and use the expectation maximization algorithm to optimize the parameters and quantify the trade purity indicator, which describes the true global trade environment and relationships among countries. …”
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Global foot-and-mouth disease risk assessment based on multiple spatial analysis and ecological niche model by Qi An, Yiyang Lv, Yuepeng Li, Zhuo Sun, Xiang Gao, Hongbin Wang

“…This study utilized multi-distance spatial cluster analysis, kernel density analysis, directional distribution analysis to investigate the spatial distribution patterns of historical FMD epidemics. A multi-algorithm ensemble model considering climatic, geographic, and social factors was developed to predict the suitability area for FMDV, and then risk maps of FMD for each species of livestock were generated in combination with the distribution of livestock. …”
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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. …”
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Comparative Study of Statistical Features to Detect the Target Event During Disaster by Madichetty Sreenivasulu, M. Sridevi

“…Therefore, SVM (linear kernel) with proposed features is applied for detecting the earthquake during disaster. The proposed algorithm is tested on Nepal earthquake and landslide datasets, 2015.…”
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Study on the Effect of Soft and Hard Coal Pore Structure on Gas Adsorption Characteristics by Xun Zhao, Tao Feng, Ping Wang, Ze Liao

“…We used box dimension algorithm to measure the fractal dimension and distribution of coal sample microstructure. …”
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Space-based long term condition monitoring of cold region pavement with PS-InSAR by Yusheng Jiang, Xiong Yu

“…Analyses were conducted using 132 ascending and 149 descending C-band InSAR images from the Sentinel-1 satellite. InSAR algorithm based on Persistent scatterers (PS-InSAR) were implemented for data analyses. …”
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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%. …”
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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. …”
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Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling by Yi Chen, Dan Chen, Niansheng Tang

“…By combining RFFM-KLDP and modified low-gradient sampling technique, we develop a novel and robust federated learning method for classification in the presence of the noisy text data, which can preserve data privacy and largely improve the accuracy of classification algorithm compared to the existing classifiers in terms of the area under curve and classification accuracy. …”
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A hybrid human fall detection method based on modified YOLOv8s and AlphaPose by Lei Liu, Yeguo Sun, Yinyin Li, Yihong Liu

“…Secondly, we improve the fall recognition accuracy by introducing a hybrid fall detection algorithm based on human skeletal nodes. Lastly, we build a multi-person fall detection dataset (MPFDD) to test the model’s effectiveness in multi-person scenarios. …”
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Prioritization of Susceptible Watershed to Sediment Yield and Evaluation of Best Management Practice: A Case Study of Awata River, Southern Ethiopia by Temesgen Kefay, Tolera Abdisa, Bekan Chelkeba Tumsa

“…The model’s uncertainty evaluation was carried out on monthly basis using the Sequential Uncertainty Fitting (SUFI-2) algorithm. The performance of the model was evaluated by statistical parameters that gave R2 = 0.76, NSE = 0.75, RSR = 0.51, and PBIAS = 5.6% for calibration and R2 = 0.75, NSE = 0.74, RSR = 0.51, and PBIAS = 2.7% for validation of streamflow. …”
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Optimal Pricing Strategy of Electric Vehicle Charging Station for Promoting Green Behavior Based on Time and Space Dimensions by Xiaomin Xu, Dongxiao Niu, Yan Li, Lijie Sun

“…Finally, the nondominated sorting genetic algorithm (NSGA-II) is introduced to solve the above optimization problems. …”
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Investigation of the application of an automated monitoring system for detecting transmission cable deterioration in Nigeria: A case study of transmission cable lines between Offa... by C.S. Omoniabipi, R. Agbadede, K.C. Emmanuel, O.J. Adewuni, I. Allison

“…Both forward propagation and backpropagation techniques were adopted for training Artificial Neural Networks (ANNs), and the gradient descent with momentum algorithm was employed for optimization. The best classification performance achieved a minimum mean squared error (MSE) of 0.074346 after 24 iterations (epochs) of training, validation, and testing. …”
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THE RELIABILITY OF DETERMINING THE SHORT CIRCUIT ZONE OF THE LINES OF 6–35 kV by F. А. Romaniuk, E. V. Buloichyk, O. A. Huryanchyk, V. S. Kachenya

“…Having taken the relative simpleness of the current protection into account the authors consider the unilateral remote method of accounting the parameters of the emergency mode and the type of fault to be the most suitable for the implementation of the algorithm of its functioning as compared with the existing methods of fault location. …”
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