Predicting traffic congestion evolution : a deep meta learning approach by Sun, Yidan, Jiang, Guiyuan, Lam, Siew-Kei, He, Peilan

“…We propose a Deep Meta Learning Model (DMLM) for learning representations of road segments which support accurate prediction of congestion evolution. …”
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GBGVD: growth-based geodesic Voronoi diagrams by Qi, Yunjia, Zong, Chen, Zhang, Yunxiao, Chen, Shuangmin, Xu, Minfeng, Ran, Lingqiang, Xu, Jian, Xin, Shiqing, He, Ying

“…We observe that it is easier to infer the branching points by stretching the ordinary segments than competing between wavefronts from different directions. …”
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Protracted carbon burial following the Early Jurassic Toarcian Oceanic Anoxic Event (Posidonia Shale, Lower Saxony Basin, Germany) by Celestino, RFS, Ruhl, M, Dickson, AJ, Idiz, E, Jenkyns, HC, Leng, MJ, Mattioli, E, Minisini, D, Hesselbo, SP

“…The bio- and chemostratigraphic framework presented demonstrates that (i) the rock record of the T-OAE at the studied locality registered highly condensed sedimentation and/or multiple hiatuses and (ii) the deposition of organic-rich black shale extended significantly beyond the level of the T-OAE, thereby contrasting with well-studied sections of the Posidonia Shale in southern Germany but showing similarities with geographically nearby basins such as the Paris Basin (France). …”

Tapered angle microfluidic device for cell separation using hydrodynamic principle by Jamrus, Muhammad Asyraf, Ahmad, Mohd. Ridzuan

“…This design enables particle separation based on hydrodynamic theory and the sedimentation process. A mixture of 3 μm and 10 μm polystyrene (PS) microbeads were effectively separated when the taper angle approached 20 degrees, and separation continued until the taper angle reached 89 degrees. …”

Data Analytics for Cybersecurity / by Janeja, Vandana P., 1976-, author 655477, Cambridge University Press (Online service) 655240

“…Analyzing data across different segments of cybersecurity domains, particularly data generated during cyber-attacks, can help us understand threats better, prevent future cyber-attacks, and provide insights into the evolving cyber threat landscape. …”
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Synthesis of biodegradable thermoplastic elastomers based on polyurethane by Liow, Sing Shy.

“…Biodegradable thermoplastic elastomer based on polyurethanes (BTPU) were synthesized from random or triblock copolymers, with polycaprolactone (PCL) as one of the component in the soft segments (SS). 1,6-hexamethylene diisocyanate (HMDI) and 1,4-butanediol (BDO) served as hard segments (HS). …”
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Bacteria and archaea on Earth and their abundance in biofilms by Flemming, Hans-Curt, Wuertz, Stefan

“…Most bacteria and archaea on Earth (1.2 × 10³⁰ cells) exist in the 'big five' habitats: deep oceanic subsurface (4 × 10²⁹), upper oceanic sediment (5 × 10²⁸), deep continental subsurface (3 × 10²⁹), soil (3 × 10²⁹) and oceans (1 × 10²⁹). …”
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A platform-based product family design methodology for leverage differentation and cost benefits by Cai, Yanling

“…This thesis proposes an integrated framework within the scenario of market segmentation, which decides the inter-platform leverage against platform differentiation and the intra-platform design towards the minimal production cost.…”
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The 2005 PASCAL visual object classes challenge by Everingham, M, Zisserman, A, Williams, CKI, Van Gool, L, Allan, M, Bishop, CM, Chapelle, O, Dalal, N, Deselaers, T, Dorkó, G, Duffner, S, Eichhorn, J, Farquhar, JDR, Fritz, M, Garcia, C, Griffiths, T, Jurie, F, Keysers, D, Koskela, M, Laaksonen, J, Larlus, D, Leibe, B, Meng, H, Ney, H, Schiele, B, Schmid, C, Seemann, E, Shawe-Taylor, J, Storkey, A, Szedmak, S, Triggs, B, Ulusoy, I, Viitaniemi, V, Zhang, J

“…The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects). Four object classes were selected: motorbikes, bicycles, cars and people. …”

A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer by Ho, Cowan, Zhao, Zitong, Chen, Xiu Fen, Sauer, Jan, Saraf, Sahil Ajit, Jialdasani, Rajasa, Taghipour, Kaveh, Sathe, Aneesh, Khor, Li-Yan, Lim, Kiat-Hon, Leow, Wei-Qiang

“…Qritive's unique composite algorithm comprises both a deep learning model based on a Faster Region Based Convolutional Neural Network (Faster-RCNN) architecture for instance segmentation with a ResNet-101 feature extraction backbone that provides glandular segmentation, and a classical machine learning classifier. …”
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Controllable broadband multicolour single-mode polarized laser in a dye-assembled homoepitaxial MOF microcrystal by He, Huajun, Cui, Yuanjing, Li, Hongjun, Shao, Kai, Chen, Banglin, Qian, Guodong

“…Here, we demonstrate a single crystal with multiple segments based on the host-guest metal-organic framework ZJU-68 hierarchically hybridized with different dye molecules generating controllable single-mode green, red, and near-infrared lasing, with the lasing mode mechanism revealed by computational simulation. …”
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Stratigraphy and taphonomy of tubular microfossils in Terreneuvian rocks of the Soltanieh Formation, Soltanieh Mountains, Northern Iran by Etemad-Saeed, N, Anderson, RP, Tosca, NJ, Bergmann, KD, Knoll, AH

“…X-ray diffraction and SEM-EDS reveal that Soltanieh tubes were largely infilled by variable mixes of pyrite framboids (and their oxidation products), silica, and clay minerals. In contrast, the sediment matrix is dominated by K-Al-silicate with lesser amounts of an Al-oxide/(oxy)hydroxide phase. …”

Tapered angle microfluidic device for cell separation using hydrodynamic principle by Jamrus, Muhammad Asyraf, Ahmad, Mohd. Ridzuan

“…Based on the hydrodynamic theory and sedimentation process, this design allows particles to separate. …”
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AI and big data applications by May Thu Naing

“…AI covers the research area generally; machine learning and deep learning are being sub-segments of AI. This FYP report focuses on supervised machine learning and unsupervised machine learning. …”
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Study on muscle remodeling using in vivo microscopy of drosophila metamorphosis and quantitative image analysis by Kuleesha

“…Therefore, I designed a muscle segmentation technique which is capable of differentiating muscle and debris regions. …”
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Performance augmentation of retrofitted sustainable R1234yf in R134a air conditioning system using AI2O3 SiO2 hybrid nanolubricant by M. Z., Sharif, Wan Azmi, Wan Hamzah, Mohd Fairusham, Ghazali, Hafiz, Muhammad Ali

“…The stability test shows that the hybrid nanolubricant remained in superior stability after 6 months, with minimum particle aggregation and sedimentation. The AAC-Al2O3–SiO2/DEC PAG system achieved the best performance at 0.03% volume concentration with an average increment of 12.01%. …”
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Chemical dispersant enhances microbial exopolymer (EPS) production and formation of marine oil/dispersant snow in surface waters of the subarctic northeast Atlantic by Suja, Laura Duran, Chen, Xindi, Summers, Stephen, Paterson, David M., Gutierrez, Tony

“…A notable feature of the Deepwater Horizon oil spill was the unprecedented formation of marine oil snow (MOS) that was observed in large quantities floating on the sea surface and that subsequently sedimented to the seafloor. Whilst the physical and chemical processes involved in MOS formation remain unclear, some studies have shown that extracellular polymeric substances (EPS) play a role in this process. …”
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Pollen geochronology from the Atlantic coast of the united states during the last 500 years by Christie, Margaret A., Bernhardt, Christopher E., Parnell, Andrew C., Shaw, Timothy Adam, Khan, Nicole S., Corbett, Dorbett Reide, García-Artola, Ane, Clear, Jennifer, Walker, Jennifer S., Donnelly, Jeffrey P., Hasse, Tobias R., Horton, Benjamin P.

“…Inconsistencies were likely related to the hyperlocality of pollen chronohorizons, mixing of salt marsh sediment, reworking of pollen from nearby tidal flats, misidentification of pollen signals, and inaccuracies in or misinterpretation of other age markers. …”
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Elucidating the effect of polyethylene terephthalate chain structure on its enzymatic degradation behavior by Lena, Jean-Baptiste, Gonçalves, Rui A., Kharel, Sharad, Kannan, Srinivasaraghavan, Verma, Chandra Shekhar, Pinchi, Keerthi Mohan, Lim, Sierin, Lam, Yeng Ming

“…In 2016, Yoshida et al. discovered a PET degrading enzyme (PETase) from sediment-dwelling bacteria, Ideonella sakaiensis ( Science 2016, 351 (6278), 1196−1199 ). …”
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Human amplification of secondary earthquake hazards through environmental modifications by Hill, Emma M., McCaughey, Jamie W., Switzer, Adam D., Lallemant, David, Wang, Yu, Sathiakumar, Sharadha

“…Anthropogenic climate change and modification of landscapes — such as deforestation, sediment movement, irrigation and sea-level rise — can destabilize natural systems and amplify hazards from earthquake-triggered landslides, liquefaction, tsunami and coastal flooding. …”
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