Ultra-fine bainite in medium-carbon high-silicon bainitic steel by Yu, Xinpan, Wang, Yong, Wu, Huibin, Gong, Na

“…%C ultra-fine bainitic steel is through austenitization at 1000 °C and austempering at 340 °C.…”
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Bio-inspired categorization using event-driven feature extraction and spike-based learning by Zhao, Bo, Chen, Shoushun, Tang, Huajin

“…Bio-inspired, cortex-like, spikebased features are obtained through event-driven convolution and neural competition. The extracted spike feature patterns are then classified by a network of leaky integrate-and-fire (LIF) spiking neurons, in which the weights are trained using tempotron learning rule. …”
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Morphological learning in spiking neurons: a new hardware efficient maching learning method by Jahagirdar, Kavya

“…The latest developments in the research of spiking neural network models have shown that unlike the classic neural network models, these models communicate via precisely timed neuron spikes, thus making them a closer representation of the biological neurons. …”
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Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits by Zeinolabedin, Seyed Mohammad Ali, Do, Anh Tuan, Yeo, Kiat Seng, Kim, Tony Tae-Hyoung

Subjects: “…Spike…”
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Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893) by Yusoff, Nooraini, Yusof, Yuhanis, Siraj, Fadzilah, Ahmad, Farzana Kabir

“…This study proposes sequence learning for the fish motion trajectory by using the Spike-Time dependent Plasticity (STDP) in the Spiking Neural Networks (SNNs). …”
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OSPC: Multimodal Harmful Content Detection using Fine-tuned Language Models by Cai, Bill

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ChromaFusionNet (CFNet): natural fusion of fine-grained color editing by Wang, Yuxi

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Statistical analysis of fine particle resuspension from rough surfaces by turbulent flows by You, Siming, Wan, Man Pun

Subjects: “…Fine Particles…”
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Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks / by Farezdzuan Roslan, 1992-, author 616568, Haza Nuzly Abdull Hamed, supervisor 308916, Fakulti Kejuruteraan. Sekolah Komputeran 619086

Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks / by Farezdzuan Roslan, 1992-, author 616568

Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein by Zhang, Si Min, Liao, Ying, Neo, Tuan Ling, Lu, Yanning, Liu, Ding Xiang, Vahlne, Anders, Tam, James Pingkwan

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EEG data handling using AWS cloud computing for automatic spike detection in epilepsy patients by Rajput Kalpana Bharatsingh

“…In this work, we explore the feasibility of AWS-cloud based approach for handling large EEG data for automatic spike detection in epilepsy patients. The aim is to design a system which will allow neurologists to upload and download EEG data from any region for analysis purpose; in the future the data will be analysed by machine learning algorithms. …”
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Enhanced visualization of fine needles under sonographic guidance using a MEMS actuator by Shen, Zhiyuan, Zhou, Yufeng, Miao, Jianmin, Vu, Kien Fong

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Compressive strength and fire resistance of mortar containing crushed cockle shell as fine aggregate replacement by Hanis Nadiah, Ruslan, Khairunisa, Muthusamy, Mohd Faizal, Md Jaafar, Nabilla, Mohamad, Nur Farah Aziera, Jamaludin

“…Thus, the current study investigates the influence of substitution of crushed cockle shell as a partial fine aggregate on the compressive strength and fire resistance of mortar. …”
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The enduring importance of the “fine cuts” approach to psychology: EPS Mid-Career Award Lecture 2024 by Bird, G

“…In this article, I take a selective review of work undertaken by my colleagues and me in an attempt to show the enduring importance of the “fine cuts” approach to psychology. This approach highlights the importance of causal, specific, and falsifiable psychological models, and the rigorous experimental designs needed to test them. …”

Long-term fine particulate matter exposure on lung cancer incidence and mortality in Chinese nonsmokers by Chen, Z, Meng, X, Han, Y, Mou, Y, Ji, C, Zhu, X, Yu, C, Sun, D, Yang, L, Sun, Q, Chen, Y, Du, H, Dai, J, Hu, Z, Lv, J, Jin, G, Ma, H, Kan, H, Li, L, Shen, H

“…<p><strong>Rationale:</strong> The association between fine particulate matter (PM_2.5) and lung cancer incidence in non-smokers (LCINS) remains inconsistent. …”

Spherical mask: coarse-to-fine 3D point cloud instance segmentation with spherical representation by Shin, S, Zhou, K, Vankadari, M, Markham, A, Trigoni, N

“…Coarse-to-fine 3D instance segmentation methods show weak performances compared to recent Grouping-based, Kernel-based and Transformer-based methods. …”

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

“…The second model, the greedy-soup-based model, uses a greedy soup technique based on the fusion of multiple fine-tuned models to set the model parameters. The greedy soup selects the model parameters by fusing the model parameters that have significant performance on the validation accuracy in training. …”
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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. However, fine-tuning on small datasets can lead to overfitting and a lack of generalization. …”
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EyeTrAES: Fine-grained, Low-Latency Eye Tracking via Adaptive Event Slicing by Sen, Argha, Bandara, Nuwan, Gokarn, Ila, Kandappu, Thivya, Misra, Archan

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