Cloud removal in optical remote sensing imagery based on SAR-guided inpainting using deep learning by Dou, Kaijie

“…Finally, we intercept the contamination part of the optical image with cloud occlusion from the generated image and splice it into the original image to obtain a high-resolution image with promising performance. …”
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Refining learning models in grammatical inference by Wang, Xiangrui

“…Test results based on Splice-junction Gene Sequence database demonstrate the method reduces model size by 32% from the widely used deterministic finite automaton model. …”
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Investigating molecular vulnerabilities in TP53-mutant transformed myeloproliferative neoplasms by Paterson, A

“…To investigate the mechanisms by which PCBP2 is required to support <em>TP53</em>-sAML, RNA-seq data from a cancer cell line model was analysed following <em>PCBP2</em> depletion for differentially expressed genes and alternative splicing events. Splice analysis showed the extent of PCBP2 regulation with a number of isoforms switching events relevant to myeloid malignancies. …”

Securing untrusted memories in embedded systems by Vig, Saru

“…This thesis aims to address this challenge by proposing compile-time and runtime strategies for securing untrusted memories from active memory attacks (e.g. replay, spoo ng and splicing attacks) that can compromise the con dentiality and integrity of the memory data. …”
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Diagnosis of age-related macular degeneration (AMD) using optical fiber sensor by Muhamad Nur Azhar Noordin

“…The FPI consists of a standard single-mode fiber spliced with 1mm of hollow-core fiber and 0.8mm of no-core fiber. …”
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Pan-cancer analysis of whole genomes by ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium

“…A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter; identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation; analyses timings and patterns of tumour evolution; describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity; and evaluates a range of more-specialized features of cancer genomes.…”