Microlensing of Strongly Lensed Quasars by Vernardos, G., Sluse, D., Pooley, D., Schmidt, R. W., Millon, M., Weisenbach, L., Motta, V., Anguita, T., Saha, P., O’Dowd, M., Peel, A., Schechter, P. L.

“…In particular, gravitational microlensing by compact bodies in the lensing galaxy can enable mapping of quasar structure to < 10 − 6 $<10^{-6}$ arcsec scales. …”
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Constructing Convex Inner Approximations of Steady-State Security Regions by Nguyen, Hung D., Dvijotham, Krishnamurthy, Turitsyn, Konstantin

“…It establishes a certificate for the self-mapping of a polytope region constructed around a given feasible operating point. …”
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The Future of Urban Accessibility: The Role of AI by Froehlich, Jon, Li, Chu, Hosseini, Maryam, Miranda, Fabio, Sevtsuk, Andres, Eisenberg, Yochai

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Detection of microscope-excited surface plasmon polaritons with Rayleigh scattering from metal nanoparticles by Du, Luping, Tang, Dingyuan, Yuan, Xiaocong

“…We propose a mapping tool of surface plasmon polaritons (SPPs) excited using an optical microscope. …”
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Improving Quality of Experience in multimedia Internet of Things leveraging machine learning on big data by Huang, Xiaohong, Xie, Kun, Leng, Supeng, Yuan, Tingting, Ma, Maode

“…Firstly, a multimodal data fusion approach is proposed to build a QoE mapping between the uncontrollable user data with the controllable network-related system data. …”
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Intelligent robotic navigation for elderly assistance by Ng, Joshua Jeremiah

“…The first phase is to test the Turtlebot3 robotic system, which includes its mobility, sensors, and mapping and navigation capabilities. The second phase is computer vision, getting the robot to correctly identify the elderly, as well as detecting when the elderly has fallen. …”
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Exploring sequential VAE to handle time-series data by Tan, Colin G-Hao

“…One of the key innovations in VAEs is their ability to combine deep learning techniques with variational inference, allowing the model to learn a probabilistic mapping between the data and latent space. This unique combination enables VAEs to learn compact and meaningful representations of data and generate new samples by sampling from the latent space. …”
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Hybrid SLAM and object recognition on an embedded platform by Low, Timothy Zhi Hao

“…Simultaneous Localization and Mapping (SLAM) is a key localisation technique for systems such as autonomous agents. …”
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Region-based shape control for multi-robot systems by Hou, Paul Saing.

“…A multiplicative potential energy function is introduced to achieve a more complex shape control. A transformation mapping is then used to enable to robot to scale and rotate while moving together in the formation. …”
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Tour-into-picture with Kinect by Meng, Taing

“…Horry et al, uses a spidery mesh interface to make animation from a single image. TIP maps a single image with its vanishing point and projection lines through perspective projection into a front-less box. …”
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The potential of cognitive neuroimaging : a way forward to the mind-machine interface by Pandarinathan, Ganesh, Mishra, Sachin, Nedumaran, Anu, Padmanabhan, Parasuraman, Gulyás, Balázs

“…Identifying the potential of various imaging techniques in identifying and mapping different regions of the brain in relation to their functions is the key to eliminating the difficulties in developing a mind-machine interface (MMI). …”
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Attentional control of goal directed behaviour by King, R

“…Chapter 3 takes a subset of patients from the previous chapter and uses a voxel-based lesion-symptom mapping approach to examine damage associated with impaired attentional control. …”

Hyperbolic volume estimates via train tracks by De Capua, A

“…A consequence of our main theorem together with a result of Brock is that, given a pseudo-Anosov self-diffeomorphism ψ of a surface S, the maximal splitting sequence introduced by Agol gives us an estimate for the hyperbolic volume of the mapping torus built from S and ψ. There are also some interesting consequences for the hyperbolic volume of a solid torus minus a closed braid, via a machinery employed by Dynnikov and Wiest.…”

Phenotypes and subphenotypes of delirium: a review of current categorisations and suggestions for progression by Bowman, EML, Cunningham, EL, Page, VJ, McAuley, DF

“…In order to achieve identification of delirium subphenotypes, the following steps must be taken: (1) robust records of symptoms must be kept at a clinical level. (2) Global collaboration must facilitate large, heterogeneous research cohorts. (3) Patients must be clustered for identification, validation, and mapping of subphenotype stability.…”

A simulation study on interactions between defects in diamond by Chen, G

“…Furthermore, linear-scaling time-dependent density functional theory (TDDFT) is performed, trying to interpret the changes in the optical spectrum during laser annealing where various levels of hybridized orbitals are observed, potentially mapping the difference of photoluminescence signals.…”

Zero-shot and few-shot learning with knowledge graphs: a comprehensive survey by Chen, J, Geng, Y, Chen, Z, Pan, JZ, He, Y, Zhang, W, Horrocks, I, Chen, H

“…We first introduce KGs used in ZSL and FSL as well as their construction methods and then systematically categorize and summarize KG-aware ZSL and FSL methods, dividing them into different paradigms, such as the mapping-based, the data augmentation, the propagation-based, and the optimization-based. …”

Empowered corrosion-resistant products through HCP crystal network: A topological assistance by Hamid, Khalid, Ayub, Nasir, Delshadi, Mohammad Amir, Ibrar, Muhammad, Ab Rahim, Nor Zairah, Mahmood, Yasir, Iqbal, Muhammad Waseem

“…In this paper, HCI identifies requirements that emphasize taking an existing hexagonal closely packed (HCP) network, investigating the network for requirements in the form of vertices and edges, mapping different vertices and edges of the network graph with topological invariants, solving the network graph by invariants, and providing results for modeling and design of advanced networks and architectures. …”
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Extreme learning machine for classification and clustering on multiview data by Chen, Jichao

“…In this thesis, the extreme learning machine is adopted to learn a nonlinearly mapped embedding space where the intrinsic structure is preserved. …”
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Modelling, exploration and optimization of hardware accelerators for deep learning applications by Dutt, Arko

“…Using these approaches, the quality of any new hardware accelerator (new device technology, architecture, memory, or dataflow mapping) can be quickly evaluated and optimized while considering a specific deep learning application.…”
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Decoding the future of human resource: How human resource analytics revolutionise the organisational landscape by Ahmad Hafizi, Ahmad Giran, Puteri Fadzline, Muhamad Tamyez, Muhammad Ashraf, Fauzi, Nor Faradilla, Mohamed Idris, Madhavkumar, Vandana

“…The findings revealed significant research clusters on the knowledge structure and mapping of research streams in HR analytics. Several challenges in BDA application and firm performances were also identified, indicating its current and future trends in HR analytics. …”
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