Unveiling the Environmental Implications of Automatic Text Generation and the Role of Detection Systems [PDF]
E3S Web of Conferences, 2023 The emergence of artificial intelligence (AI) and natural language processing (NLP) technologies has led to the proliferation of automated systems capable of generating text.
Al Karkouri Adnane +2 more
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Remote Sensing, 2021 Oil extraction and transportation may lead to small or large scale accidental spills, whether at sea or on land. Detecting these spills is a major problem that can be addressed by means of hyperspectral images and specific processing methods.
Véronique Achard +2 more
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Clone Detection and Elimination for Haskell [PDF]
, 2010 Duplicated code is a well known problem in software maintenance and refactoring. Code clones tend to increase program size and several studies have shown that duplicated code makes maintenance and code understanding more complex and time consuming.
Brown, Christopher, Thompson, Simon
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Fractional Order Processing of Satellite Images
Applied Sciences, 2021 Nowadays, satellite images are used in many applications, and their automatic processing is vital. Conventional integer grey-scale edge detection algorithms are often used for this.
Manuel Henriques +2 more
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Suppressing Unwanted Autobiographical Memories Reduces Their Automatic Influences: Evidence from Electrophysiology and an Implicit Autobiographical Memory Test [PDF]
, 2015 The present study investigated the extent to which people can suppress unwanted autobiographical memories in a mock crime memory detection context. Participants encoded sensorimotor-rich memories by enacting a lab crime (stealing a ring) and received ...
Bergström, Zara M +3 more
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Conveyor Belt Damage Detection with the Use of a Two-Layer Neural Network
Applied Sciences, 2021 Non-invasive conveyor belt diagnostics in damage detection allows significant reductions of the costs related to belt replacement, as well as the evaluation of belt usability and wear degree changes over time.
Agata Kirjanów-Błażej +1 more
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Detection of Curvilinear Structure in Images by a Multi-Centered Hough Forest Method
IEEE Access, 2018 Automatic detection of curvilinear structure in images is a challenging task in computer vision applications. In this paper, we present a novel supervised learning method to identify curvilinear structure based on a modified Hough forest framework.
Hanjin Zhang, Yang Yang, Hongbin Shen
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A pavement damage location algorithm based on machine vision distance compensation
Dianzi Jishu Yingyong, 2018 The real-time and accurate automatic detection technology of road surface damage has important significance for highway management and maintenance. This paper combines the FPGA-based pavement damage detection system to research the positioning accuracy ...
Miao Chengyu +4 more
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The use of simulation in the design of a road transport incident detection algorithm
, 2005 Automatic incident detection is becoming one of the core tools of urban traffic management, enabling more rapid identification and response to traffic incidents and congestion. Existing traffic detection infrastructure within urban areas (often installed
Cherrett, T.J. +2 more
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Sleep: An Open-Source Python Software for Visualization, Analysis, and Staging of Sleep Data
Frontiers in Neuroinformatics, 2017 We introduce Sleep, a new Python open-source graphical user interface (GUI) dedicated to visualization, scoring and analyses of sleep data. Among its most prominent features are: (1) Dynamic display of polysomnographic data, spectrogram, hypnogram and ...
Etienne Combrisson +9 more
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