Pruning methods for RBF networks by Tarannum Shakir.

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Evaluating Adaptive Layer Freezing through Hyperparameter Optimization for Enhanced Fine-Tuning Performance of Language Models by Figueroa, Reinaldo

“…When dealing with data scarcity, transfer learning has become the go-to method to use these models in specialized downstream tasks via fine-tuning. …”
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A novel tuning method for implementing dynamic matrix control on a water tank system by Sudarshan, Srinivasa Ramanujam.

“…Lower the value of ’k’, system performance increases and becomes faster. The novel NlStar tuning technique was found to provide the same level of performance as the Shridhar-Cooper tuning method with greater ease to tune manually.…”
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Feature selection for classification applications in neural network pruning by Gong, Rui

“…Experiments results show that feature selection methods are useful for neural network pruning.…”
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An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models by Al-Hadhrami, Suheer, Menai, Mohamed El Bachir, Al-Ahmadi, Saad, Alnafessah, Ahmad

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A comparative analysis of vitrification and two slow freezing methods for gonocyte-containing neonatal calf testicular tissue and subsequent in vitro culture by Tang, S, Jones, C, Davies, J, Lane, S, Coward, K

“…No significant differences were observed in the proportion of seminiferous tubules containing PGP9.5-positive germ cells when compared between the three methods. Comparable densities of germ cells per unit area were observed in the controlled/uncontrolled slow freezing groups, and the vitrification group (7.89 ± 1.83, 7.75 ± 1.75, and 7.92 ± 1.23/104 µm2 , respectively). …”

Entanglement in smart hydrogels: fast response time, anti-freezing and anti-drying by Feng, Yuqin, Wang, Shancheng, Li, Yaqin, Ma, Wenxia, Zhang, Gang, Yang, Ming, Li, Haibo, Yang, Yongsheng, Long, Yi

“…Different from the conventional methods which hinder the movement of the polymer network, through entanglement with HPC fibers, the composite hydrogel shows both improved Young's modulus and toughness and more importantly improved smart functionalities including response speed, anti-drying, and anti-freezing capabilities and cycle stability. …”
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Audio-based approaches in tuning retrieval of gamelan ensemble by Hamdan, Sinin

“…As a result, it proved that these primitive methods may provide tuning to the gamelan set. Field trips to the Jogjakarta gamelan builders reveal that the gamelan tuner solely tuned the gamelan based on hearing, which is passed down from generation to generation. …”
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Investigating Fine-Tuning of Language Models for Multiple-Choice Questions by Wang, Ivy A.

“…Given the increasing use of generative language models in fields ranging from cybersecurity to biomedical research, it is important to understand the causes of their behavior in order to mitigate biases and prevent errors. One known method of improving the performance of LLMs is fine-tuning, wherein a model is additionally trained on data from a specified distribution or subject area. …”
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Efficiency of tuned liquid dampers in mitigating vibrations of structures with mass eccentricity by Teh, Kun Jie, Vafaei, Mohammadreza, Alih, Sophia C., Shad, Hossein

“…Background: Tuned liquid dampers (TLDs) have been successfully installed on different types of structures for vibration mitigation against wind or earthquake forces. …”

Automatic hyperparameter tuning of topology optimization algorithms using surrogate optimization by Ha, Dat, Carstensen, Josephine

“…The new method draws inspiration from hyperparameter optimization in machine learning. …”
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Dynamic properties of structures integrated with tuned liquid sloshing dampers analyses by Gospel, Jessica Vania

“…Log decrement cycle counting emerges as a method for estimating damping ratios in vibrating systems, particularly useful for damped sinusoidal signals. …”
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Empirical and biophysical estimations of human cochlea’s psychophysical tuning curve sharpness by Chan, Wei Xuan, Kim, Namkeun, Yoon, Yong-Jin

“…We simulated the biophysical human cochlea’s tuning curve based on physiological measurements of human cochlea and compared the human frequency tuning sharpness with results from empirical methods as well as experimental data of other mammalian cochleae. …”
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OSPC: Multimodal Harmful Content Detection using Fine-tuned Language Models by Cai, Bill

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Architecture-independent reactivity tuning of Ni/Al multilayers by solid solution alloying by Danzi, S, Schnabel, V, Zhao, X, Käch, J, Spolenak, R

“…Here, we propose a method for the adjustment of reaction kinetics in Ni/Al multilayers via solid solution alloying with elements having different reactivities toward aluminum. …”
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Refining malware analysis with enhanced machine learning algorithms using hyperparameter tuning by El Mouhtadi, Walid, El Bakkali, Mohamed, Maleh, Yassine, Mounir, Soufyane, Ouazzane, Karim

“…The study addresses these limitations using ensemble methods and pre-processing techniques, including feature selection and hyperparameter tuning. …”
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Interfacial control and carrier tuning of carbon nanotube/polyaniline composites for high thermoelectric performance by Li, Hui, Liu, Siqi, Li, Pengcheng, Yuan, Du, Zhou, Xin, Sun, Jiaotong, Lu, Xuehong, He, Chaobin

“…By tuning PANI/camphor sulfonic acid mole ratios, the power factor is further improved to 401 μW m−1 K−2, which is higher than that of most reported organic TE materials. …”
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High-precision wavelength tuning of GeSn nanobeam lasers via dynamically controlled strain engineering by Kim, Youngmin, Joo, Hyo-Jun, Chen, Melvina, Son, Bongkwon, Burt, Daniel, Shi, Xuncheng, Zhang, Lin, Ikonic, Zoran, Tan, Chuan Seng, Nam, Donguk

“…By using localized laser annealing that can control the strain in the laser gain medium, the emission wavelengths of several GeSn one-dimensional photonic crystal nanobeam lasers are precisely matched whose initial emission wavelengths are significantly varied. The method changes the GeSn crystal structure in a region far away from the gain medium by inducing Sn segregation in a dynamically controllable manner, enabling the emission wavelength tuning of more than 10 nm without degrading the laser emission properties such as intensity and linewidth. …”
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Tuning the selectivity of NH 3 oxidation via cooperative electronic interactions between platinum and copper sites by Chen, L, Guan, X, Fei, Z, Asakura, H, Zhang, L, Wang, Z, Su, X, Yao, Z, Keenan, LL, Hayama, S, van Spronsen, MA, Karagoz, B, Held, G, Allen, CS, Hopkinson, DG, Decarolis, D, Callison, J, Dyson, PJ, Wang, FR

SGD-based optimization in modeling combustion kinetics: Case studies in tuning mechanistic and hybrid kinetic models by Ji, Weiqi, Su, Xingyu, Pang, Bin, Li, Yujuan, Ren, Zhuyin, Deng, Sili

“…Meanwhile, gradient-based optimizations, especially the stochastic gradient descent (SGD) methods, have shown success in developing complex models by training large-scale deep learning models. …”
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