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Explainable self-supervised learning for medical image diagnosis based on DINO V2 model and semantic search

Scientific Reports
Medical images have become indispensable for decision-making and significantly affect treatment planning. However, increasing medical imaging has widened the gap between medical images and available radiologists, leading to delays and diagnosis errors ...
Alaa Hussien, Abdelkareem Elkhateb, Mai Saeed, Nourhan M. Elsabawy, Alaa Ebraheem Elnakeeb, Nora Elrashidy   +5 more
doaj   +1 more source

An ECC with error detection and against side channel attacks for resource constrained devices

Journal of King Saud University: Computer and Information Sciences
As more devices are integrated into the Internet of Things (IoT) ecosystem, accurate and efficient information transmission between resource-constrained equipment has become particularly important.
Jun Ye, Zewen Yang
doaj   +1 more source

Users' Perceived Difficulties and Corresponding Reformulation Strategies in Google Voice Search [PDF]

Journal of Library and Information Studies, 2016
In this article, we report users’ perceptions of query input errors and query reformulation strategies in voice search using data collected through a laboratory user study.
Wei Jeng, Jiepu Jiang, Daqing He
doaj   +1 more source

Species Distribution Modelling via Feature Engineering and Machine Learning for Pelagic Fishes in the Mediterranean Sea

Applied Sciences, 2020
In this work a fish species distribution model (SDM) was developed, by merging species occurrence data with environmental layers, with the scope to produce high resolution habitability maps for the whole Mediterranean Sea.
Dimitrios Effrosynidis, Athanassios Tsikliras, Avi Arampatzis, Georgios Sylaios   +3 more
doaj   +1 more source

Optimizing poultry audio signal classification with deep learning and burn layer fusion

Journal of Big Data
This study introduces a novel deep learning-based approach for classifying poultry audio signals, incorporating a custom Burn Layer to enhance model robustness.
Esraa Hassan, Samar Elbedwehy, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Nora El-Rashidy   +4 more
doaj   +1 more source

Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques

Journal of Big Data
Precisely evaluating text similarity remains a fundamental challenge in Natural Language Processing (NLP), with widespread applications in plagiarism detection, information retrieval, semantic analysis, and recommendation systems.
Esraa Hassan, Amira Samy Talaat, M. A. Elsabagh   +2 more
doaj   +1 more source

Privacy-Preserving Data Sharing and Computing for Outsourced Policy Iteration with Attempt Records from Multiple Users

Applied Sciences
Reinforcement learning is a machine learning framework that relies on a lot of trial-and-error processes to learn the best policy to maximize the cumulative reward through the interaction between the agent and the environment.
Bangyan Chen, Jun Ye
doaj   +1 more source

Seagrass and hydrographic data for the Mediterranean Sea

Data in Brief, 2019
The dataset includes 1,771 locations of major seagrass families (Cymodoceaceae, Zosteraceae, Posidoniaceae, Hydrocharitaceae, Ruppiaceae), which are further divided into the species they include, as well as 1,284 locations of seagrass absence ...
Dimitrios Effrosynidis, Avi Arampatzis, Georgios Sylaios   +2 more
doaj   +1 more source

Routing Protocol for Underwater Wireless Sensor Networks Based on a Trust Model and Void-Avoided Algorithm

Sensors
Underwater wireless sensor networks have a wide range of application prospects in important fields such as ocean exploration and underwater environment monitoring. However, the influence of complex underwater environments makes underwater wireless sensor
Jun Ye, Weili Jiang
doaj   +1 more source

Beyond information retrieval: information discovery and multimedia information retrieval

Bibliothecae.it, 2017
The paper compares the current methodologies for search and discovery of information and information resources: terminological search and term-based language, own of information retrieval (IR); semantic search and information discovery, being developed ...
Roberto Raieli
doaj   +1 more source