Enhancing Solar Energy Prospects: Predicting Direct Normal Irradiance in Qinghai Province Using ALO-RF Modeling by MD Abdul Munnaf, Tawhidul Islam

“…This study uses the Genetic algorithm, Moth Flame Optimization, and Ant Lion Optimizer to optimize the Random Forest model. …”
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The Neurorehabilitation Training Toolkit (NTT): A Novel Worldwide Accessible Motor Training Approach for At-Home Rehabilitation after Stroke by Sergi Bermúdez i Badia, M. S. Cameirão

“…Finally, an adaptive algorithm for the personalization of training considering motivational and performance aspects is proposed. …”
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A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data by Manolis Georgioudakis, Vagelis Plevris

“…The structural damage identification problem is treated as an unconstrained optimization problem which is solved using the differential evolution search algorithm. The objective function used in the optimization process is based on a combination of two modal correlation criteria, providing a measure of consistency and correlation between estimations of mode shape vectors. …”
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Fault Estimation Method for Nonlinear Systems With Perturbations Based on Augmented Fault Observer by Yanxiu Sun, Ying Du, Yuping Zhang

“…Specifically, a singular system is constructed by combining the state vector of the system with the fault vector of the sensor, and an augmented fault observer is designed by combining the fault estimation algorithm of the adaptive actuator. First, an augmented fault observer for linear systems with perturbations is designed, and the sufficient conditions for the asymptotic stability of the observation error system are ascertained so that the state of the singular system can be observed. …”
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Driver Distraction Identification with an Ensemble of Convolutional Neural Networks by Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad, Mohamed N. Moustafa

“…The system consists of a genetically weighted ensemble of convolutional neural networks; we show that a weighted ensemble of classifiers using a genetic algorithm yields a better classification confidence. …”
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Aggregating Contextual Information for Multi-Criteria Online Music Recommendations by Jieqi Liu

“…On the CAL500 dataset, CAMCMusic outperforms the FM algorithm by 11.9% in precision, 16.4% in recall, and 20% in F1-Score. …”
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A New Decomposition Ensemble Learning Approach with Intelligent Optimization for PM2.5 Concentration Forecasting by Guangyuan Xing, Shaolong Sun, Jue Guo

“…Second, the ANN, whose connection parameters are optimized by APSO algorithm, is employed to model IMFs and residual terms, respectively. …”
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A Model for Estimating Resiliency of AI-Based Classifiers Defending Against Cyber Attacks by Kousik Barik, Sanjay Misra, Luis Fernandez-Sanz

“…It illustrates the potential of using adversary-aware feature sampling to build more robust classifiers and use an optimized algorithm to maintain inherent resilience. The proposed model is achieved with an accuracy of 0.995, an F1 score of 0.9932, a precision of 0.9921, a recall (before an attack) of 0.987, a recall (after an attack) of 0.632, and a severity score of 0.363. …”
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IF-MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information by Yanping Li

“…The results illustrate that the designed algorithm is useful for assessing the performance of financial management.…”
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Semisupervised Learning-Based Word-Sense Disambiguation Using Word Embedding for Afaan Oromoo Language by Tabor Wegi Geleta, Jara Muda Haro

“…The K-means machine learning algorithm was used to cluster similar word vocabulary. …”
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Impact of Weather Factors on Unmanned Aerial Vehicles’ Wireless Communications by Lalan Mishra, Naima Kaabouch

“…Based on the influence of power transmission, operating frequency, modulation schemes, distance, and adverse weather conditions on the bit error rate and bandwidth suboptimization, we propose an algorithm to select the maximum operating frequency for reliable UAV link operation.…”
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Time-varying channel estimation in OFDM systems based on multiple symbols BEM by Yong DING, Shan OUYANG, Yue-lei XIE, Jun-zheng JIANG, Xiao-mao CHEN

“…In view of the problem of low frequency spectrum utilization for the time-varying channel estimation in orthogonal frequency division multiplexing(OFDM) systems based on basis expansion model (BEM),a new method based on multiple symbols BEM was proposed.Compared with the conventional method based on single symbol,the proposed method reduced the subcarriers for pilots.And by means of the baseline tilting technique,the new method mitigated the Gibbs phenomenon caused by Fourier series expansion.The theoretical analysis reveals that the channel model error is reduced due to the introduction of the baseline tilting technique when the normalized Doppler frequency is no more than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mrow> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> <mo>−</mo><mfrac> <mn>1</mn> <mi>M</mi> </mfrac> </mrow> <mrow> <mn>1</mn><mo>+</mo><mfrac> <mrow> <msub> <mi>N</mi> <mi>g</mi> </msub> </mrow> <mi>N</mi> </mfrac> </mrow> </mfrac> <mtext> </mtext></math></inline-formula>.Finally,the numerical simulation shows that compared with conventional methods,the proposed algorithm achieves significant improvement on the estimation error performance and bit error rate (BER) performance under the conditions of the corresponding time-varying channel.…”
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Optimized Skip-Stop Metro Line Operation Using Smart Card Data by Peitong Zhang, Zhanbo Sun, Xiaobo Liu

“…Different from the conventional “A/B” scheme, the proposed Flexible Skip-Stop Scheme (FSSS) can better accommodate spatially and temporally varied passenger demand. A genetic algorithm (GA) based approach is then developed to efficiently search for the optimal solution. …”
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New experimental techniques for fracture testing of highly deformable materials by E. Dall’Asta, V. Ghizzardi, R. Brighenti, E. Romeo, R. Roncella, A. Spagnoli

“…Thanks to the implemented algorithm based on a Semi-Global Matching (SGM) approach, it is possible to constraint the regularity of the displacement field in order to significantly improve the reliability of the evaluated strains, especially in highly deformable materials. …”
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Uncertainty Quantification of GEKO Model Coefficients on Compressible Flows by Yeong-Ki Jung, Kyoungsik Chang, Jae Hyun Bae

“…The affine invariant ensemble algorithm (AIES) is selected to characterize the posterior distribution via Markov chain Monte Carlo sampling. …”
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Affective economies of racism on social media by Rodwell Makombe, Bright Sinyonce, Mpitseng Tladi, Saneliso Thambo

“…The internet in general and social networks in particular are based on a libertarian logic that emphasises freedom of speech at the expense of the rights of minorities whose views may not meet the required algorithmic thresholds of specific social media sites. …”
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METHODOLOGICAL PROBLEMS OF ASSESSING THE EFFECTIVENESS OF PUBLIC ADMINISTRATION OF SOCIO-ECONOMIC DEVELOPMENT by Tatyana Bukhovets

“…The approach presents a toolkit and a step-by-step algorithm for assessing the effectiveness of public administration. …”
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A Review of Spaceborne High-Resolution Spotlight/Sliding Spotlight Mode SAR Imaging by Baolong Wu, Chengjin Liu, Jianlai Chen

“…The three steps of the current spaceborne spotlight/sliding spotlight SAR imaging algorithm framework are discussed in this paper. These include the following: eliminating the azimuth spectral aliasing by azimuth deramp preprocessing; implementing imaging processing using imaging kernels (RD, CS, RMA, etc.); and degrading the back-folded phenomenon in the final focused image domain by reference function multiplication post-processing. …”
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Dynamic trajectories of land use and land cover changes in Lombok Island, West Nusa Tenggara, Indonesia by H. Oğuz Çoban, Miftahul Irsyadi Purnama

“…Utilizing Landsat satellite imagery and a combination of land cover classes from the Indonesian Ministry of Environment and Forestry (MoEF) with the machine learning-based Random Forest algorithm, we aimed to improve classification accuracy and model land cover transitions over time. …”
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Transboundary Water Resources Conflict Analysis Using Graph Model for Conflict Resolution: A Case Study—Harirud River by Abdulsalam Amini, Hamidreza Jafari, Bahram Malekmohammadi, Touraj Nasrabadi

“…The implementation of the GMCR model algorithm regarding the Harirud water conflict between the three countries indicated that the current state is the most likely outcome of the conflict as none of the parties involved, given their preferences, and is motivated or able to change their strategy to help the conflict to a more favorable state.…”
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