Robust adaptive estimator based on a novel objective function—Using the L1-norm and L0-norm by Sihai Guan, Chuanwu Zhang, Guofu Wang, Bharat Biswal

“…In addition, it is superior to LMS, LMAT, SELMS, the convex combination of LMS and LMAT algorithm, the convex combination of LMS and SELMS algorithm, and the convex combination of SELMS and LMAT algorithm. …”
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Design of SIMO <italic>M</italic>-QAM System for Ultrasonic Communications on Shallow Waters by Unai Fernandez-Plazaola, Francisco J. Canete, Eduardo Martos-Naya, Luis Diez

“…It exploits the diversity that four hydrophones provide at reception in a single-input multiple-output (SIMO) <inline-formula> <tex-math notation="LaTeX">$1\times 4$ </tex-math></inline-formula> configuration and also includes, for each stream, a phase-locked loop (PLL) for synchronization and a turbo-equalization subsystem, with fractionally-spaced equalizer (FSE) and decision feedback equalizer (DFE) filters, adaptive by means of least mean squares (LMS) algorithm, both of which are driven by an low-density parity check (LDPC) decoder decisions. …”
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A Novel Adaptive Algorithm Addresses Potential Problems of Blind Algorithm by Muhammad Yasin, Muhammad Junaid Hussain

“…It is a two-stage adaptive filtering algorithm and based on least mean square (LMS) algorithm followed by CMA. …”
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A Dual-Mode Compatible CT ADC With FIR DAC and SB Quantization for DSM and IDSM Operations by Han Yang, Yuqi Wang, Ying Hou, Xiaosong Wang, Yu Liu

“…A fully numerical loop parameter extraction method based on the least-mean-square (LMS) algorithm is proposed, eliminating the need for tedious algebraic derivations required in conventional approaches. …”
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How do generative artificial intelligence (AI) tools and large language models (LLMs) influence language learners’ critical thinking in EFL education? A systematic review by Jing Liu, Ahmad Johari Bin Sihes, Ye Lu

“…Abstract As generative artificial intelligence (AI) tools and large language models (LLMs)-powered applications develop rapidly in the era of algorithms, it should be integrated thoughtfully to enhance English as a Foreign Language (EFL) teaching and learning without replacing learners’ critical thinking (CT). …”
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A Power-Efficient 50 MHz-BW 76.8 dB Signal-to-Noise-and-Distortion Ratio Continuous-Time 2-2 MASH Delta-Sigma Analog-to-Digital Converter with Digital Calibration by Zhiyu Li, Xueqian Shang, Haigang Feng, Xinpeng Xing

“…The pseudo-random sequence injection and Least Mean Squares (LMS) algorithm are adopted to calibrate the digital noise cancelation filter to match the analog transfer function. …”
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AI for Data Quality Auditing: Detecting Mislabeled Work Zone Crashes Using Large Language Models by Shadi Jaradat, Nirmal Acharya, Smitha Shivshankar, Taqwa I. Alhadidi, Mohammad Elhenawy

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Design of Adaptive Planar Microstrip Patch Array Operating at 28 GHz for 5G Smart Mobile System by Zhwan Mohammed Rashid, Asaad M. Jassim Al-Hindawi

“…This is based on the processing of an algorithm called the Least Mean Square (LMS) resulting in a change in the magnitude and phase of the feeding current for each element in the antenna array. …”
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Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation by Ryan Allen Shewcraft, John Schwarz, Mariann Micsinai Balan

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Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things by Poshan Belbase, Rajan Bhusal, Sapana Sharma Ghimire, Shreesti Sharma, Bibek Banskota

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Challenges and opportunities with ChatGPT in oral oncology: The journey ahead by Ribwar Arsalan Mohammed, Sirwan Khalid Ahmed

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An End-to-End General Language Model (GLM)-4-Based Milling Cutter Fault Diagnosis Framework for Intelligent Manufacturing by Jigang He, Xuan Liu, Yuncong Lei, Ao Cao, Jie Xiong

“…This study proposes a fault diagnosis algorithm based on GLM-4, and the experimental validation on the PHM 2010 dataset and a proprietary milling cutter dataset demonstrates the superiority of the proposed model, achieving diagnostic accuracies of 93.8% and 93.3%, respectively, outperforming traditional models (SVM, CNN, RNN) and baseline LLMs (ChatGLM2-6B variants). …”
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Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic Channels by Masoumeh Soflaei, Paeiz Azmi

“…We observe that the values of the steady-state mean square error (MSE) of SR-APA and SPU-APA decrease by 5.8 (dB) and 5.5 (dB), respectively, in comparison with least mean square (LMS) algorithm. Also the families of SPU-APA and SR-APA have better convergence speed than LMS type algorithm.…”
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TerraCraft: City-scale generative procedural modeling with natural languages by Zichen Xi, Zhihao Yao, Jiahui Huang, Zi-Qi Lu, Hongyu Yan, Tai-Jiang Mu, Zhigang Wang, Qun-Ce Xu

“…By utilizing Large Language Models (LLMs), TerraCraft can generate city-scale 3D scenes from natural text descriptions. …”
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Study of a new fast adaptive filtering algorithm by WANG Zhen-li, ZHANG Xiong-wei, YANG Ji-bin, CHEN Gong

“…For high correlation signal, its performance is superior to those of NLMS algorithm and DCR-LMS algorithm.…”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…The study found that the SVM algorithm had the best prediction results after parameter adjustment, with a 96% accuracy rate. …”
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Simulation Research on Active Noise Reduction in Driver’s Cab ofAutonomous-rail Rapid Tram by ZHOU Sheng, HUANG Wanjun, LI Wei, XIAO Lei, HUANG Jin, HE Jie

“…A wideband feedforward active noise reduction method is proposed, which adopts FxLMS control algorithm, and the control algorithm is derived, and the noise data of autonomous-rail rapid tram is used in the Matlab/Simulink platform for modeling and simulation. …”
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Adaptive mobile application for the CATS learning system by Y. V. Popova, I. V. Lehchylin

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Music Genre Classification Algorithm Based on Multihead Attention Mechanism by Peng Cheng

“…In the second half, the nonblind classical LMS algorithm, RLS algorithm, and variable step size LMS algorithm of adaptive beamforming are studied in detail. …”
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Exploring the Potential of the Bicameral Mind Theory in Reinforcement Learning Algorithms by Munavvarkhon Mukhitdinova, Mariana Petrova

“…This study explores the potential of Julian Jaynes’ bicameral mind theory in enhancing reinforcement learning (RL) algorithms and large language models (LLMs) for artificial intelligence (AI) systems. …”
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