Deep Learning Strategies for Intraday Optimal Carbon Options Trading with Price Impact Considerations by Qianhui Lai, Qiang Yang

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Fast computation of cyclic convolutions and their applications in code-based asymmetric encryption schemes by Andrey N. Sushko, Boris Y. Steinberg, Kirill V. Vedenev, Anton A. Glukhikh, Yury V. Kosolapov

“…These fast algorithms have potential applications not only in cryptography, but also in other areas where convolutions are used.…”
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A Review on Navigating Ethical Challenges in Modern Radiology: Balancing Artificial Intelligence Integration and Patient Privacy by Saraswathula Bharadwaj, Shirish Vaidya, Pratap Singh Parihar

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The AI Triple Whammy by Deepak P

“…This suggests that effectively developing responsible and convivial gig models would require not just innovations in governance and administration, but also technological research for the development of new and appropriate algorithms. …”
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Advancing flood susceptibility prediction: A comparative assessment and scalability analysis of machine learning algorithms via artificial intelligence in high‐risk regions of Paki... by Mirza Waleed, Muhammad Sajjad

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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

“…Results indicate that the FATA algorithm produced minimum generation cost of 807.0405 $/h, which is 0.088–0.426% less than the competing algorithms. …”
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Treatment journey clustering with a novel kernel k-means machine learning algorithm: a retrospective analysis of insurance claims in bipolar I disorder by Matthew Littman, Huy-Binh Nguyen, Joanna Campbell, Katelyn R. Keyloun

“…Here, we developed a novel kernel k-means clustering algorithm for event sequences that can accommodate highly diverse event types and sequence lengths. …”
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An artifactual fibre overlap removal algorithm for micro-computed tomography image post-processing and 3D microstructure generation with graphics processing unit acceleration by Yuheng Zhou, Zhengshu Yan, Pascal Hubert

“…Furthermore, the proposed algorithm is also modified for the generation of periodic 3D microstructures. …”
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Research on the Gas Emission Quantity Prediction Model of Improved Artificial Bee Colony Algorithm and Weighted Least Squares Support Vector Machine (IABC-WLSSVM) by Lei Wang, Jinghang Li, Wenbo Zhang, Yu Li

“…At the same time, the prediction model can also be applied to other fields.…”
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Existence and Stability of Iterative Algorithm for a System of Random Set-Valued Variational Inclusion Problems Involving (A,m,η)-Generalized Monotone Operators by Jittiporn Suwannawit, Narin Petrot

“…Further, the stability of the iterative algorithm for finding a solution of the considered problem is also discussed.…”
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Multi-Objective Improved Differential Evolution Algorithm-Based Smart Home Energy Management System Considering Energy Storage System, Photovoltaic, and Electric Vehicle by Mina GhasemiGarpachi, Moslem Dehghani, Mokhtar Aly, Jose Rodriguez

“…A multi-objective improved differential evolution algorithm is used to solve the HEMSs. Based on the outcome, PV, ESS, and PHEV reduce the costs and also reduce the wasted energy of PV close to zero. …”
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Comparative analysis of principal modulation techniques for modular multilevel converter and a modified reduced switching frequency algorithm for nearest level pulse width modulati... by M. Benboukous, H. Bahri, M. Talea, M. Bour, K. Abdouni

“…The NL-PWM technique shows intermediate performance, making it more appropriate for medium-voltage applications. The results also confirm the proposed modifications to the RSF capacitor voltage balancing algorithm. …”
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A High-Resolution Spotlight Imaging Algorithm via Modified Second-Order Space-Variant Wavefront Curvature Correction for MEO/HM-BiSAR by Hang Ren, Zheng Lu, Gaopeng Li, Yun Zhang, Xueying Yang, Yalin Guo, Long Li, Xin Qi, Qinglong Hua, Chang Ding, Huilin Mu, Yong Du

“…By analyzing the phase errors in the wavenumber domain, the compensation functions can be designed. The MSSWCC algorithm not only corrects the geometric distortion through reverse projection, but it also compensates for the second-order residual spatial-variant phase errors by the analytical expressions for the two-dimensional phase errors. …”
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Interpretarea, instrument de atenuare a bias-ului algoritmic în contractele electronice/ Interpretation, a Tool for Mitigating Algorithmic Bias in Electronic Contracts by Sebastian ANTOCE

“…This article analyzes the role of legal interpretation in mitigating algorithmic bias within electronic contracts. In a digital era where algorithms increasingly influence the formation, interpretation, and execution of contracts, algorithmic bias can create significant imbalances between contracting parties. …”
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Optimizing community green roof spaces in high-density cities: a K-modes clustering algorithm based analysis of resident preferences and spatial configuration by Yi-Tong Cui, Guang-Zhu Zhang

“…The study shows that differences in preferences among people are not only related to demographic characteristics but also to their interests and environmental perceptions. …”
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Hybrid-driven modeling using a BiLSTM–AdaBoost algorithm for diameter prediction in the constant diameter stage of Czochralski silicon single crystals by Yu-Yu Liu, Ding Liu, Shi-Hai Wu, Yi-Ming Jing

“…Subsequently, the prediction results of the BiLSTM network are weighted and fused by the AdaBoost algorithm to obtain the final time series prediction output, and the prediction performance is further enhanced by iterative optimization. …”
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Intensity and Wavelength-Division Multiplexing Fiber Sensor Interrogation Using a Combination of Autoencoder Pre-Trained Convolution Neural Network and Differential Evolution Algor... by Po-Han Chiu, Yu-Shen Lin, Yibeltal Chanie Manie, Jyun-Wei Li, Ja-Hon Lin, Peng-Chun Peng

“…This paper proposes a new fiber Bragg grating central wavelength interrogation system by combining evolutionary algorithm and machine learning techniques integrated with an unsupervised autoencoder (AE) pre-training strategy. …”
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Optimization of additive contents in cottonseed meals during the solid-state fermentation using response surface methodology and artificial neural network-based genetic algorithm by TANG Jiang-wu, SUN Hong, YAO Xiao-hong, WU Yi-fei, WANG Xin

“…The correlation efficiency of 0.9191 identified by response surface methodology was a little lower than that of 0.9991 identified by genetic algorithm based on an artificial neural network model, which also was with a lower RMSE value by 0.13, indicating that the artificial neural network-based genetic algorithm had a much higher optimizing ability and modeling ability during the optimization of the solid-state fermentation process.…”
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Integrating GIS, 3D-Isovist, and an NSGA-II multi-objective optimization algorithm for automation of design process in urban parks and public open spaces by Karim Zandniapour, Akram Soroush, Ehsan Khezerlu Agdam, Haniyeh Sanaieian

“…The proposed method can be further developed to take other design considerations into account and also has the potential to be of use in other related design fields.…”
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Comprehensive Exploration of Limitations of Simplified Machine Learning Algorithm for Fault Diagnosis Under Fault and Ground Resistances of Multiterminal High-Voltage Direct Curren... by Raheel Muzzammel

“…It is found from the simulation analysis that the preprocessing based on mean and differences in featured data extracted for fault current is required to reduce the impacts of the accuracy of machine learning algorithms. The preprocessing not only retains the accuracy of the machine learning algorithm in different cases of faults, but also minimizes the reduction in accuracy in some fault cases. …”
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