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  2. African swine fever virus - Wikipedia

    en.wikipedia.org/wiki/African_swine_fever_virus

    African swine fever virus (ASFV) is a large, double-stranded DNA virus in the Asfarviridae family. [1] It is the causative agent of African swine fever (ASF). The virus causes a hemorrhagic fever with high mortality rates in domestic pigs ; some isolates can cause death of animals as quickly as a week after infection.

  3. ANGPTL3 - Wikipedia

    en.wikipedia.org/wiki/ANGPTL3

    30924 Ensembl ENSG00000132855 ENSMUSG00000028553 UniProt Q9Y5C1 Q9R182 RefSeq (mRNA) NM_014495 NM_013913 RefSeq (protein) NP_055310 NP_038941 Location (UCSC) Chr 1: 62.6 – 62.61 Mb Chr 4: 98.92 – 98.93 Mb PubMed search Wikidata View/Edit Human View/Edit Mouse Angiopoietin-like 3, also known as ANGPTL3, is a protein that in humans is encoded by the ANGPTL3 gene. Function The protein encoded ...

  4. Eddy-current testing - Wikipedia

    en.wikipedia.org/wiki/Eddy-current_testing

    [8] [9] Tubing inspection is generally limited to non-ferromagnetic tubing and is known as conventional eddy current testing. Conventional ECT is used for inspecting steam generator tubing in nuclear plants and heat exchangers tubing in power and petrochemical industries. The technique is very sensitive to detect and size pits.

  5. Anomaly detection - Wikipedia

    en.wikipedia.org/wiki/Anomaly_detection

    The methods must manage real-time data, diverse device types, and scale effectively. Garbe et al. [19] have introduced a multi-stage anomaly detection framework that improves upon traditional methods by incorporating spatial clustering, density-based clustering, and locality-sensitive hashing. This tailored approach is designed to better handle ...

  6. Louvain method - Wikipedia

    en.wikipedia.org/wiki/Louvain_method

    The Louvain method for community detection is a greedy optimization method intended to extract non-overlapping communities from large networks created by Blondel et al. [ 1 ] from the University of Louvain (the source of this method's name).

  7. Features from accelerated segment test - Wikipedia

    en.wikipedia.org/wiki/Features_from_accelerated...

    The high-speed test for rejecting non-corner points is operated by examining 4 example pixels, namely pixel 1, 9, 5 and 13. Because there should be at least 12 contiguous pixels that are whether all brighter or darker than the candidate corner, so there should be at least 3 pixels out of these 4 example pixels that are all brighter or darker than the candidate corner.

  8. Flow distribution in manifolds - Wikipedia

    en.wikipedia.org/wiki/Flow_distribution_in_manifolds

    Fig. 3. T-junction and corresponding network. The question raised from the experiments by McNown [1] and by Acrivos et al. [2] Their experimental results showed a pressure rise after T-junction due to flow branching. This phenomenon was explained by Wang. [7] [8] [9] Because of inertial effects, the fluid will prefer to the straight direction ...

  9. Scale-invariant feature transform - Wikipedia

    en.wikipedia.org/wiki/Scale-invariant_feature...

    Wagner et al. developed two object recognition algorithms especially designed with the limitations of current mobile phones in mind. [43] In contrast to the classic SIFT approach, Wagner et al. use the FAST corner detector for feature detection. The algorithm also distinguishes between the off-line preparation phase where features are created ...