A deep learning model of spatial distance and named entity recognition (SD-NER) for flood mark text classification

R Szczepanek - Water, 2023 - mdpi.com
Information on historical flood levels can be communicated verbally, in documents, or in the
form of flood marks. The latter are the most useful from the point of view of public awareness …

The Web of Abuse: A Comprehensive Analysis of Online Resource in the Context of Technology-Enabled Intimate Partner Surveillance

M Almansoori, M Islam, S Ghosh… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
Previous research has shown that abusers in an intimate relationship can find plenty of
technical advice, tools, and how-to guides online for covertly conducting intimate partner …

[图书][B] Covid, Brexit and The Anglosphere: Frameworks for Future Trade and Economic Growth

RD Simmons, N Culkin - 2022 - emerald.com
Alix.(2021). Shortages related to semiconductors to cost the auto industry $210 billion in
revenues this year, says new Alixpartners forecast. Alixpartners: New York, NY, 23 …

[PDF][PDF] Mutability of Web Search Engines Results-Data Collection and Brief Analysis

BMF Moreno - 2021 - repositorio-aberto.up.pt
Web search is an essential tool that has changed the way we access information. The
dynamic characteristics of the web and the evolution of search engine algorithms may cause …

The effect of Bert-based grammatical analysis on Google search results

O Çolak - 2021 - gcris.mef.edu.tr
This study aims to study the BERT, namely Bidirectional Encoder Representations from
Transformers model, which is introduced by Google and is of great importance in content …

[引用][C] Evaluating the Overlap of User Preferences with Search Engine Performances using UCISE

R Abt, J Haigis, C Stappen - cii Student Papers-2021. Ed.: A. Sunyaev, 2021