Mobile phone based participatory sensing for urban traffics by Zhou, Pengfei

“…The evaluation results suggest that the proposed system achieves outstanding prediction accuracy compared with those bus company initiated and GPS supported solutions, and demonstrate the feasibility of traffic monitoring based on buses which achieves fine-grained traffic estimation with modest sensing and computation overhead at the crowd.…”
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Human machine interface/brain control for electric vehicles application by Tang, Tao

“…Secondly, the same design methodology is extended to a 16-channel TDM/CS AFE with tunable DC-servo loop and fine-trimming input impedance boosting loop. A 4-bit calibrated impedance boosting loop contributed to the input impedance of 560 MΩ as well as CMRR for input interface. …”
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Distilling crowd knowledge from software-specific Q&A discussions for assisting developers’ knowledge search by Chen, Chunyang

“…Then, I enrich the knowledge graph with more fine-grained relationships i.e., analogy among different third-party libraries. …”
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Quantitative evaluation of stone fragments in extracorporeal shock wave lithotripsy using a time reversal operator by Wang, Jen-Chieh, Zhou, Yufeng

“…Extracorporeal shock wave lithotripsy (ESWL) has been used widely in the noninvasive treatment of kidney calculi. The fine fragments less than 2 mm in size can be discharged by urination, which determines the success of ESWL. …”
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Measuring the hole-state anisotropy in MgB2 by electron energy-loss spectroscopy by Klie, Robert F., Su, Haibin, Zhu, Yimei, Davenport, James W., Idrobo, Juan-Carlos, Browning, Nigel D., Nellist, Peter D.

“…In particular, we have studied two different crystal orientations, [110] and [001], with respect to the incident electron beam direction, and found significant changes in the near-edge fine structure of the B K-edge. Density-functional theory suggests that the pre-peak of the B K-edge core loss is composed of a mixture of pxy- and pz-hole states and we will show that these contributions can be distinguished only with an experimental energy resolution better than 0.5 eV. …”
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Biometric contrastive learning for data-efficient deep learning from electrocardiographic images by Sangha, V, Khunte, A, Holste, G, Mortazavi, BJ, Wang, Z, Oikonomou, EK, Khera, R

“…</p> <p><strong>Materials and Methods:&nbsp;</strong>Using pairs of ECGs from 78 288 individuals from Yale (2000-2015), we trained a convolutional neural network to identify temporally separated ECG pairs that varied in layouts from the same patient. We fine-tuned BCL-pretrained models to detect atrial fibrillation (AF), gender, and LVEF&thinsp;&lt;&thinsp;40%, using ECGs from 2015 to 2021. …”

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. …”

Development of serum alternative with fermented soybean residue (okara): towards cultured meat production application by Teng, Ting Shien

“…The observed differences in the results suggested that cells may be stimulated by specific metabolites from the extract, and such interactions may vary from cell line to cell line. An in-depth study on the cellular metabolite interaction would be required to optimise the proliferative effects that the fermented okara extracts have on the cells. …”
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Evaluation of paper spray mass spectrometry for direct analysis of small molecule drugs and hemoglobin constant spring peptide markers by Takyi-Williams, John

“…The test compound, sunitinib, was stable in all conditions studied and analyte extraction and detection sensitivity could be improved with sufficient off-line or on-line pre-moistening of the dried spot prior to PS-MS analysis after longer storage period. …”
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Investigations into high resolution imaging of the aqueous outflow system and cornea by Hong, Jesmond Xun Jie

“…The imaging probe has resolutions of 10.08 line pairs per mm (~49.61 µm) at the iridocorneal angle region and 5.04 line pairs per mm (~99.21 µm) at the fundus. …”
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Lead federated neuromorphic learning for wireless edge artificial intelligence by Yang, Helin, Lam, Kwok-Yan, Xiao, Liang, Xiong, Zehui, Hu, Hao, Niyato, Dusit, Poor, H. Vincent

“…This paper proposes a lead federated neuromorphic learning (LFNL) technique, which is a decentralized energy-efficient brain-inspired computing method based on spiking neural networks. The proposed technique will enable edge devices to exploit brain-like biophysiological structure to collaboratively train a global model while helping preserve privacy. …”
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Plasmonic anapole metamaterial for refractive index sensing by Yao, Jin, Ou, Jun-Yu, Savinov, Vassili, Chen, Mu Ku, Kuo, Hsin Yu, Zheludev, Nikolay I., Tsai, Din Ping

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Artificial intelligence in optical lens design by Yow, Ai Ping, Wong, Damon, Zhang, Yueqian, Menke, Christoph, Wolleschensky, Ralf, Török, Peter

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Adjoint-state differential arrival time tomography by Tong, Ping, Li, Tianjue, Chen, Jing, Nagaso,Masaru

“…Numerical examples demonstrate that the ATT-CS method is a valuable tool for imaging receiver-side fine-scale velocity structures. Conversely, the ATT-CR method is well suited for resolving source-side velocity structures. …”
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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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