Implementation of cloud service models in training of future information technology specialists
Leading research directions are defined on the basis of self-analysis of the study results on the use of cloud technologies in training by employees of joint research laboratory “Сloud technologies in education” of Kryvyi Rih National University and ...
Oksana M. Markova +5 more
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Integration Strategies for Computational Science & Engineering Software
Second International Workshop on Software Engineering for Computational Science and Engineering May 23, 2009 Abstract: In order to make significant progress in solving challenging problems in Computational Science & Engineering (CS&E), we need to integrate a large amount of software written by different groups of experts.
openaire +1 more source
In July 2021, the IT management software company Kaseya was the victim of a ransomware cyberattack. The perpetrator of this attack was ransomware evil (REvil), an allegedly Russian-based ransomware threat group. This paper addresses the general events of
Suman Bhunia +4 more
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MATADOR: a magic matrix-based framework for tamper detection and image recovery
Ensuring the integrity and authenticity of digital medical images is crucial for healthcare security and digital forensics, as image tampering can have serious consequences.
Thilina Mendis +2 more
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Automatic Sugarcane Disease Detection and Outbreak Alert System using Deep Learning
Agriculture Agriculture is a vital sector in Pakistan, with sugarcane being the second-largest crop. However, the industry faces challenges due to crop diseases, prompting the need for innovative solutions.
Munaf Rashid +4 more
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An Empirical Process Model for Agile Practitioners Developing Healthcare Software
Agile philosophy emphasises flexibility, adaptability and human-centred software development. However, in medical software development, integrating regulatory compliance and safety-critical requirements within Agile methods introduces significant tension.
Yazidu Buba Salihu +2 more
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AGCD: An Attention-Guided Graph Convolution Network for Change Detection of Remote Sensing Images
Change detection is a crucial field in remote sensing image analysis for tracking environmental dynamics. Although convolutional neural networks (CNNs) have made impressive strides in this field, their grid-based processing structures struggle to capture
Heng Li +9 more
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Complementary Local–Global Optimization for Few-Shot Object Detection in Remote Sensing
Few-shot object detection (FSOD) in remote sensing remains challenging due to the scarcity of annotated samples and the complex background environments in aerial images.
Yutong Zhang +7 more
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The Influence of Software Engineering Education on Developing Teamwork Skills in Both Genders
Teamwork is recognized as a highly valuable skill for any software engineer. In computer science programs it is typically developed through project-based courses, though these courses often do not adopt a gender-oriented approach.
Maria Cecilia Bastarrica +1 more
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CytoAnalyst web platform facilitates comprehensive single cell RNA sequencing analysis
Single-cell technologies have revolutionized our ability to study cellular heterogeneity and dynamics at unprecedented resolutions. In this fast-growing field, it becomes increasingly challenging to navigate the vast number of tools and steps for ...
Phi Bya +4 more
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