Study on satellite adaptive nulling antennas with hybrid genetic algorithm by JIN Jun1, WANG Hua-li1, DUAN Tao2, LIU Yun-zhi1

“…Combining genetic algorithm with LMS,a hybrid genetic algorithm（GA_LMS）for satellite adaptive nulling antenna beam space was proposed.The hybrid algorithm performance of various parameter selections was studied.At last a simultaneous parameter adaptation scheme was introduced.The scheme could reduce difficulty and improve effi-ciency of parameter selection and can dynamically adjust the parameters for better anti-jamming performance.…”
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…At its core is a multi-stage feature selection algorithm combining Minimum Redundancy Maximum Relevance algorithm (mRMR) and a Pearson Correlation Coefficient (PCC)-improved Covariance Matrix Adaptation Evolution Strategy algorithm (CMA-ES). …”
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Presenting an Order-Aware Multimodal Fusion Framework for Financial Advisory Summarization With an Exclusive Video Dataset by Sarmistha Das, Samrat Ghosh, Abhisek Tiwari, R. E. Zera Marveen Lynghoi, Sriparna Saha, Zak Murad, Alka Maurya

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Long-term prediction for VBR video traffic based on wavelet packet decomposition by CHEN Jian1, WEN Ying-you1, ZHAO Da-zhe1, LIU Ji-ren1

“…Long-term prediction is one of the most difficult problems in the area of VBR video traffic prediction.As to the time variation,non-linearity and long range dependence in VBR video traffic trace,a novel method of feature based on multi-scale decomposition was proposed.On the analysis of the time-frequency distribution characteristics of the video trace,the wavelet packets which have the trait of arbitrary distinction and decomposition are selected.After space partition of wavelet packets,the best wavelet packet basis for feature extraction is picked out.Based on the best basis,it can do fast arbitrary multi-scale WPT（wavelet packet transform）,and obtain each higher dimension wavelet coefficients matrix.And then wavelet coefficients prediction is proposed based on LS-SVM and LMS algorithms.The long-term pre-diction of VBR video traffic is obtained through reverse wavelet transforms on the predicted wavelet coefficients.Nu-merical and simulation results are provided to validate the claims.…”
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Long-term prediction for VBR video traffic based on wavelet packet decomposition by CHEN Jian1, WEN Ying-you1, ZHAO Da-zhe1, LIU Ji-ren1

“…Long-term prediction is one of the most difficult problems in the area of VBR video traffic prediction.As to the time variation,non-linearity and long range dependence in VBR video traffic trace,a novel method of feature based on multi-scale decomposition was proposed.On the analysis of the time-frequency distribution characteristics of the video trace,the wavelet packets which have the trait of arbitrary distinction and decomposition are selected.After space partition of wavelet packets,the best wavelet packet basis for feature extraction is picked out.Based on the best basis,it can do fast arbitrary multi-scale WPT（wavelet packet transform）,and obtain each higher dimension wavelet coefficients matrix.And then wavelet coefficients prediction is proposed based on LS-SVM and LMS algorithms.The long-term pre-diction of VBR video traffic is obtained through reverse wavelet transforms on the predicted wavelet coefficients.Nu-merical and simulation results are provided to validate the claims.…”
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SMART Restaurant ReCommender: A Context-Aware Restaurant Recommendation Engine by Ayesha Ubaid, Adrian Lie, Xiaojie Lin

“…While various machine learning algorithms have been developed for recommendation tasks, existing systems still face limitations. …”
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TSTBench: A Comprehensive Benchmark for Text Style Transfer by Yifei Xie, Jiaping Gui, Zhengping Che, Leqian Zhu, Yahao Hu, Zhisong Pan

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Wavelet Adaptive Algorithm and Its Application to MRE Noise Control System by Zhang Yulin, Zhao Xiuyang

“…Simulation results reveal that the Decomposition LMS algorithm (D-LMS) and Decomposition and Reconstruction LMS algorithm (DR-LMS) based on Wavelet can significantly improve the noise reduction performance of MRE control system compared with traditional LMS algorithm.…”
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Implementation of an Active Vibration Control System on a Cogeneration Plant by Emanuele Voltolini, Daniel Pinardi, Andrea Toscani, Marco Binelli, Angelo Farina, Jessica Ferrari, Andrea Zenaro, Stefano Maglia, Enrico Calzavacca

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A hybrid approach to conangtent generation based on user experience using generative AI elements by Mohammad Javad Shayegan, Hossein Hosseinpour

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Predicting Student Performance and Enhancing Learning Outcomes: A Data-Driven Approach Using Educational Data Mining Techniques by Athanasios Angeioplastis, John Aliprantis, Markos Konstantakis, Alkiviadis Tsimpiris

“…Leveraging data from Moodle, a widely used learning management system (LMS), we analyzed 450 students’ academic records spanning nine semesters. …”
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Statistics is not measurement: The inbuilt semantics of psychometric scales and language-based models obscures crucial epistemic differences by Jana Uher

“…It shows that epistemically justified inferences necessitate methods for analysing individuals' unrestricted verbal responses, now advanced through artificial intelligence systems modelling natural language (e.g., NLP algorithms, LLMs). Their increasing use to generate standardised descriptions of study phenomena for rating scales and constructs, by contrast, will only perpetuate psychologists' cardinal error—and thus, psychology's crisis.…”
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When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges by Chao Wang, Jiaxuan Zhao, Licheng Jiao, Lingling Li, Fang Liu, Shuyuan Yang

“…Pre-trained large language models (LLMs) exhibit powerful capabilities for generating natural text. …”
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Robust Recursive Algorithm under Uncertainties via Worst-Case SINR Maximization by Xin Song, Feng Wang, Jinkuan Wang, Jingguo Ren

“…In this paper, we develop a robust constrained-LMS (RCLMS) algorithm based on worst-case SINR maximization. …”
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Research and application of the algorithm editing method for improving active noise control performance by Haisheng Song, Yahui Dong, Na Yang, Zhiyong Chen

“…To substantiate the effectiveness of this approach, the FxLMS and Momentum-FxLMS algorithms serve as foundational components of AEM, enhancing convergence performance in an active noise control system. …”
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Variable convergence train noise active control algorithm based on feedforward reference by LI Tao, HE Yuyao, WANG Ning, LI Zhuang, SHEN Zhaoyuan, XIAO Gang

“…Compared with the fixed-convergence FxLMS, variable-convergence NLMS, and SVSLMS control algorithms, it has the advantage of noise reduction up to about 3.6 dB.…”
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A Genetic Algorithm Approach to Adaptive Learning: Enhancing Learner Satisfaction and Performance by Anju Kalwar, Deepika Shekhawat, Sandeep Joshi, Amit Kumar Bairwa

“…The fitness function assesses an individual sequence in terms of its conformity to the learner’s profile and, thus, helps to increase an LMS usage rate, select appropriate content, and achieve targeted educational objectives. …”
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Mathematical Model and Algorithm for Accurate Main Content Extraction From News Websites by Hamza Salem, Hadi Salloum, Manuel Mazzara

“…We present a novel mathematical model and algorithm that leverages the Document Object Model (DOM) structure, effectively isolating relevant content with high accuracy. …”
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Retrieval Augmented Therapy Suggestion for Molecular Tumor Boards: Algorithmic Development and Validation Study by Eliza Berman, Holly Sundberg Malek, Michael Bitzer, Nisar Malek, Carsten Eickhoff

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Adaptation of mathematical educational content in e-learning resources by Yuliya V. Vainshtein, Victoria A. Shershneva, Roman V. Esin, Tatyana V. Zykova

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