DEWP: deep expansion learning for wind power forecasting by Fan, W, Fu, Y, Zheng, S, Bian, J, Zhou, Y, Xiong, H

“…Accurate wind power forecasting (WPF) is then better achieved through fine-grained outputs by continuously removing stack residues and accumulating useful stack forecasts. …”

Audio-based approaches in tuning retrieval of gamelan ensemble by Hamdan, Sinin

“…Three approaches used in retrieving tunings of gamelan are as follows: chladni patterns experiment using fine particle (sand), acoustic excitation from speaker for non-contact sinusoidal acoustic excitation and non-contact laser detector at specific eigen frequency, electronic speckle pattern interferometry (espi) for coherent addition of speckle fields diffracted by object and reference fields and laser doppler vibrometer (LDV) captured the vibration of the eigen frequency from the gong. …”
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Immobilization of cyclodextrin glucanotransferase on electrospun polyvinyl alcohol nanofibers by Saallah, Suryani

“…Before the immobilisation step, the transformation of CGTase from solution to solid particles via electrospraying in Taylor cone-jet mode was studied to obtain fine and monodispersed particles that can be attached uniformly on the PVA membrane. …”
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In vitro bioactivity and biocompatibility assessment of PCL/PLA–scaffolded mesoporous silicate bioactive glass: role of boron activation by Md. Zain, Siti Khalijah, Sazali, Ezza Syuhada, Ghoshal, Sib Krishna, Hisam, Rosdiyana

“…The role of boron concentration fine-tuning in modifying the glasses morphology, structure, Bioactivity and Biocompatibility was assessed in vitro by immersing them in simulated body fluid (SBF) at various durations. …”

Building AI Applications with ChatGPT APIs : Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects / by Yanev, Martin, author 656265

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Facies analysis and depositional model of the middle-upper triassic Semantan formation, Central Pahang, Malaysia by Muhammad Azfar, Mohamed, Mazshurraiezal, Nasir, Mohd Syukri, Said, Meng, Choongchee, Mohamad Shaufi, Sokiman, Nur Asyraf, Md Akhir, Muhammad Aslam, Md Yusof, Muhammad Noor Amin, Zakariah, Mohd Nizam, Abdul Rashid, Salahuddin, Husein, Noorzamzarina, Sulaiman, Afiq Naim, Mohd

“…Seven (F1-7) facies have been identified which are; F1) poorly sorted conglomerate, F2) pebbly sandstone, F3) structureless-to-parallel laminated sandstone, F4) wavy-to-ripple fine-to-medium laminated sandstone, F5) slumped thin-interbeded sandstone and shale, F6) interbedded sandstone and shale, and F7) shale, represent a subordinate part of the Semantan Formation. …”
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Current and future challenges of hybrid electrochemical-mechanical machining process for micro- and nano-manufacturing by Ahmad Shahir, Jamaludin, Mohd Nizar, Muhd Razali, Nurul Nadia, Nor Hamran, Mohd Zairulnizam, Mohd Zawawi, Mohd Amran, Md Ali

“…Through empirical, analytical, and numerical optimization methods, HEMM’s performance can be fine-tuned to meet specific requirements. Its applications span various fields, from microfluidics and micro-optics to aerospace and biomedical devices, underscoring its transformative potential in contemporary manufacturing. …”
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Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes by Hossen, Md. Arif, Hasan, Md. Munirul, Ahmed, Yunus, Azrina, Abd Aziz, Nurashikin, Yaacof, Leong, Kah Hon

“…The K-fold cross-validation method was employed to fine-tune the hyperparameters of the ML models. Compared to other ML models, the artificial neural networks (ANN) model showed an outstanding rating of performance evaluation metrics, including R2, MSE, RMSE, and MRE. …”
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Surface Compositions of Trojan Asteroids by Emery, Joshua P., Binzel, Richard P., Britt, Daniel T., Brown, Michael E., Howett, Carly J. A., Martin, Audrey C., Melita, Mario D., Souza-Feliciano, Ana Carolina, Wong, Ian

“…Mid-infrared emissivity spectra reveal the presence of fine-grained anhydrous silicates on the surfaces. …”
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Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data by Xu, Xuhai, Yao, Bingsheng, Dong, Yuanzhe, Gabriel, Saadia, Yu, Hong, Hendler, James, Ghassemi, Marzyeh, Dey, Anind K., Wang, Dakuo

“…We conduct a broad range of experiments, covering zero-shot prompting, few-shot prompting, and instruction fine-tuning. The results indicate a promising yet limited performance of LLMs with zero-shot and few-shot prompt designs for mental health tasks. …”
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Dominant contribution of oxygenated organic aerosol to haze particles from real-time observation in Singapore during an Indonesian wildfire event in 2015 by Budisulistiorini, Sri Hapsari, Riva, Matthieu, Williams, Michael, Miyakawa, Takuma, Chen, Jing, Itoh, Masayuki, Surratt, Jason D., Kuwata, Mikinori

“…Simultaneously, we characterized carbonaceous components and organic aerosol (OA) tracers from fine PM (PM2.5) samples to support source apportionment of the online measurements. …”
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Punching shear strength analysis of corroded reinforcement concrete slab by Fu, Yibin

“…Moreover, internal tensile stress during corrosion tend to result in existing fine line or micro cracks to enlarge, resulting in increasing permeability of concrete and form a chain of interconnected defects. …”
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涂涂写写 = Alchemy of color and brushwork by Ng, Woon Lam

“…As brushwork strengthens the form, the three attributes of colors (namely tone, hue and chroma) are fine-tuned to either work with or against the results of the brushwork. …”
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A multi-view context-aware approach to Android malware detection and malicious code localization by Narayanan, Annamalai, Chandramohan, Mahinthan, Chen, Lihui, Liu, Yang

“…Besides multi-view learning, MKLDroid’s unique and salient trait is its ability to locate fine-grained malice code portions in dependency graphs (e.g., methods/classes). …”
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Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation by Lai, Lvlong, Chen, Jian, Zhang, Chi, Zhang, Zehong, Lin, Guosheng, Wu, Qingyao

“…With our proposed approach, fine-tuning, a weak baseline method for few-shot segmentation, gains significant performance improvement (e.g., 7.48% and 7.04% in 2-way-1-shot and 3-way-1-shot tasks of S3DIS, respectively) and outperforms current state-of-the-art methods in all the task settings of S3DIS and ScanNet benchmark datasets.…”
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Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks by Chakraborty, Debasrita, Goswami, Debayan, Ghosh, Susmita, Ghosh, Ashish, Chan, Jonathan H., Wang, Lipo

“…A study is conducted by building four models pre-trained on COVID-19 data from four different countries (United States of America, Brazil, Spain, and Bangladesh) and fine-tuned on India's data. Since the four countries chosen have experienced different types of infection curves, the pre-training provides a transfer learning to the models incorporating diverse situations into account. …”
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Hierarchical skeleton Meta-Prototype Contrastive learning with hard skeleton mining for unsupervised person re-identification by Rao, Haocong, Leung, Cyril, Miao, Chunyan

“…Firstly, we construct hierarchical representations of skeletons to model coarse-to-fine body and motion features from the levels of body joints, components, and limbs. …”
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Full-spectrum out-of-distribution detection by Yang, Jingkang, Zhou, Kaiyang, Liu, Ziwei

“…These new benchmarks have a more fine-grained categorization of distributions (i.elet@tokeneonedot, training ID, covariate-shifted ID, near-OOD, and far-OOD) for the purpose of more comprehensively evaluating the pros and cons of algorithms. …”
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Unsupervised land-use change detection using multi-temporal POI embedding by Yao, Yao, Zhu, Qia, Guo, Zijin, Huang, Weiming, Zhang, Yatao, Yan, Xiaoqin, Dong, Anning, Jiang, Zhangwei, Liu, Hong, Guan, Qingfeng

“…In addition, our model can effectively identify areas with unchanged land use and land use changes in residential and industrial areas at a fine scale.…”
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Bitstream-corrupted JPEG images are restorable: two-stage compensation and alignment framework for image restoration by Liu, Wenyang, Wang, Yi, Yap, Kim-Hui, Chau, Lap-Pui

“…The GCA leverages the extracted low-resolution thumbnail from the JPEG header to guide full-resolution pixel-wise image restoration in a coarse-to-fine manner. It is achieved by a coarse-guided pix2pix network and a refine-guided bi-directional Laplacian pyramid fusion network. …”
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