Deep Learning-Based Travel Time Estimation in Hiking with Consideration of Individual Walking Ability
Hiking is popular, but mountain accidents are serious problems. Accurately predicting hiking travel time is an essential factor in preventing mountain accidents. However, it is challenging to accurately reflect individual hiking ability and the ...
Latest Advancements in Credit Risk Assessment with Machine Learning and Deep Learning Techniques
A loan is vital for individuals and organizations to meet their goals. However, financial institutions face challenges like managing losses and missed opportunities in loan decisions. A key issue is the imbalanced datasets in credit risk ...
Billion-Scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering
This paper presents a novel approach for similarity search with complex filtering capabilities on billion-scale datasets, optimized for CPU inference. Our method extends the classical IVF-Flat index structure to integrate multi-dimensional ...
A Cost-Benefit Model for Feasible IoT Edge Resources Scalability to Improve Real-Time Processing Performance
Edge computing systems have emerged to facilitate real-time processing for delay-sensitive tasks in Internet of Things (IoT) Systems. As the volume of generated data and the real-time tasks increase, more pressure on edge servers is created. This ...
Software Requirement Smells and Detection Techniques: A Systematic Literature Review
One of the major reasons for software project failure is poor requirements, so numerous requirement smells detection solutions are proposed. Critical appraisal of the proposed requirement fault detection methods is crucial for refining knowledge ...
New Image Crypto-Compression Scheme Based on Ecc and Chaos Theory for High-Speed and Reliable Transmission of Medical Images in the IOMT
The rapid advancement of IoT has significantly transformed the healthcare sector, leading to the emergence of the Internet of Medical Things (IoMT). Ensuring the security and privacy of medical data is crucial when integrating with smart and ...
Transmission Map Refinement Using Laplacian Transform on Single Image Dehazing Based on Dark Channel Prior Approach
- Lailia Rahmawati,
- Supriadi Rustad,
- Aris Marjuni,
- Mochammad Arief Soeleman,
- Catur Supriyanto,
- Guruh Fajar Shidik
Computer vision requires high-quality input images to facilitate image interpretation and analysis tasks. However, the image acquisition process does not always produce good-quality images. In outdoor environments, image quality is determined by ...
Text+ – Concept and Benefits for Empirical Researchers
In this contribution, we report on ongoing efforts in the German national research infrastructure consortium Text+ to make research data and services for text- and language-oriented disciplines FAIR, that is findable, accessible, interoperable, ...
The Browser-Based GLAUx Treebank Infrastructure: Framework, Functionality, and Future
This paper presents the browser-based treebank infrastructure of GLAUx (the Greek Language AUtomated). This linguistic annotation project now has its integrated and user-friendly platform for exploring this data. After discussing the size and ...
An Interface for Linking Ancient Languages
This paper focuses on the linking potentials offered by the EpiLexO web-based front-end for creating and editing an ecosystem of digital resources for ancient languages, developed in the context of a project on the languages of fragmentary ...
A Framework for Analysing Disinformation Narratives: Ukrainian Refugees in Bulgaria
This article presents a methodological framework for analyzing disinformation narratives, emphasizing the significance of localized contextualization, particularly the influence of cultural and historical factors embedded within these narratives. ...
