Fabrication and characterization of graphene and carbon nanotube reinforced bioceramic nanocomposites by Hu, Huanlong

“…In rGO-HA composites, the rGO plates with large lateral dimensions could wrap HA grains for finer and layered microstructures for higher hardness. …”
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Functional analysis of FoxO1 interacting domain with STAT3 by Low, Xiu Hui, Ma, Wei

“…In this study, deletion constructs were built to map the binding sites of FoxO1 to STAT3. The co-immunoprecipitation of deletion constructs with STAT3 were performed and analyzed the protein-protein interactions through western blot. …”
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Transcriptomic profiling of polymicrobial biofilm dynamics on catheters in Vitro by Lai, Valerie Jia Hui

“…RNA sequencing was employed to map mRNA reads to gene expression in single and mixed species biofilm. …”
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Semantic text analytic services on the cloud by Ng, Wei Kok.

“…By implementing GATE, a widely used Text Analytic tool, on the Hadoop framework using MapReduce, this project aims to enable Text Analysis on Big Data, with the linear scaling provided by the Hadoop framework. …”
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2D + 3D approach in face verification algorithm by Hendinata, Joshua

“…The system implements a stereo camera setup to calculate face disparity map which capture face depth information. Semi-Global Block Matching (SGBM) was implemented as stereo matching algorithm and Local Binary Pattern Histogram (LBPH) as its main face recognition algorithm. …”
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Brain control games and applications by Darmaja, Natalia

“…EEG-based BCI captures the pattern of electrical activity and maps them to corresponding actions. The recent commercialization of EEG-based BCI allows opportunities for brain activity research. …”
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Oxford-IIIT TRECVID 2010 – notebook paper by Juneja, M, Chandra, S, Parkhi, OM, Jawahar, CV, Vedaldi, A, Marszalek, M, Zisserman, A

“…Compared to last year, the image-level classifier was significantly faster due to the use of a fast dense SIFT feature extractor and of an explicit feature map to approximate the χ² kernel SVM. …”

Super-resolution enhancement of text image sequences by Capel, D, Zisserman, A

“…We then propose two estimators suitable for the enhancement of text images: a maximum a posteriori (MAP) estimator based on a Huber prior and an estimator regularized using the total variation norm. …”

CLAROS - bringing classical art to a global public by Kurtz, D, Parker, G, Shotton, D, Klyne, G, Schroff, F, Zisserman, A, Wilks, Y

“…CLAROS uses CIDOC CRM (http://cidoc.ics.forth.gr/), developed under UNESCO's ICOM (http://icom.museum/), to map across datasets and a portfolio of Open Source software to deliver them swiftly to a broad range of global users. …”

Splatter image: ultra-fast single-view 3D reconstruction by Szymanowicz, S, Rupprecht, C, Vedaldi, A

“…Our main innovation is the surprisingly straightforward design of this network, which, using 2D operators, maps the input image to one 3D Gaussian per pixel. …”

Heights via anabelian geometry and local Bloch-Kato Selmer sets by Betts, L

“…</p> <p>On the geometric side, we also prove a number of foundational results on local constancy or analyticity of various non-abelian Kummer maps for pro-unipotent etale or Betti–de Rham fundamental groups of arbitrary smooth varieties.…”

Topography of social touching depends on emotional bonds between humans by Suvilehto, JT, Glerean, E, Dunbar, RIM, Hari, R, Nummenmaa, L

“…Here we reveal quantified, relationship-specific maps of bodily regions where social touch is allowed in a large cross-cultural dataset (N = 1,368 from Finland, France, Italy, Russia, and the United Kingdom). …”

On fundamental aspects of quantum extreme learning machines by Xiong, W, Facelli, G, Sahebi, M, Agnel, O, Chotibut, T, Thanasilp, S, Holmes, Z

“…Their appeal lies in the rich feature map induced by the dynamics of a quantum substrate—the quantum reservoir—and the efficient post-measurement training via linear regression. …”

Redefining Ancient Epirus

“…Through this approach, the volume effectively moves Epirus from the border to the centre of the map of current archaeo-historical research, as well as offering a starting point for further historical investigations in the field.…”

Comparison of different deep learning object detection algorithms on fruit drying characterization by Umair, Mohammad Yamin, Norazlianie, Sazali, Kettner, Maurice, Mohd Azraai, Mohd Razman, Weiβ, Robert

“…YOLOv5m demonstrated superior performance compared to SSD MobileNet and EfficientDet, achieving a mean average precision (mAP) of 0.99589. SSD MobileNet demonstrated exceptional performance in real-time object detection, accurately detecting the majority of objects with a high level of confidence. …”
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Looking for a better future: modeling migrant mobility by Loaiza Saa, Isabella, Novak, Matej, Morales, Alfredo J., Pentland, Alex

“…For this purpose it is crucial to map and understand geographic patterns of migration, including spatial mobility and dynamics over time. …”
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Probabilistic Volumetric Fusion for Dense Monocular SLAM by Rosinol, Antoni, Leonard, John J., Carlone, Luca

“…We show that the resulting depth uncertainty provides an excellent signal to weight the depth-maps for volumetric fusion. Without our depth uncertainty, the resulting mesh is noisy and with artifacts, while our approach generates an accurate 3D mesh with significantly fewer artifacts. …”
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Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network by Asif, M. T., Oran, A., Fathi, E., Xu, M., Dhanya, M. M., Mitrovic, N., Jaillet, P., Dauwels, Justin, Goh, Chong Yang

“…We propose unsupervised learning techniques by employing k-means clustering, principal component analysis (PCA), and self organizing maps (SOM) to overcome this insufficiency. We establish the effectiveness of the developed methods by evaluation of spatial and temporal characteristics of prediction performance of the proposed variable window v-SVR method.…”
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Vector coloring the categorical product of graphs by Godsil, Chris, Roberson, David E., Rooney, Brendan, Šámal, Robert, Varvitsiotis, Antonios

“…For a graph H and a vector t-coloring p1, … , pn of G, the map taking (i, ℓ) ∈ V(G) × V(H) to pi is a vector t-coloring of the categorical product G× H. …”
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Toward achieving robust low-level and high-level scene parsing by Shuai, Bing, Ding, Henghui, Liu, Ting, Wang, Gang, Jiang, Xudong

“…Meanwhile, we propose a convolutional context network (CCN) and place it on top of pre-trained CNNs, which is used to aggregate contexts for high-level feature maps so that robust high-level parsing can be achieved. …”
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