Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
This research explores YOLOv9: Learning What You Want to Learn Using Programmable G..., contributing new insights to the field of Artificial Intelligence.
Data for Sub-Task 1 of the Advertisement in Retrieval-Augmented Generation task at Touché 2025. The dataset contains segments retrieved from the segmented version of MS MARCO V2.1.
In the field of natural language processing, the task of writing long concepts into short expressions has attracted attention due to its ability to simplify the processing and understanding of informa...
Advancements in face synthesis technology have enabled innovative methods for modeling facial aging. Additionally, we address ethical considerations, proposing guidelines for responsible use.
Automatic medical image segmentation is a crucial topic in the medical domain and successively a critical counterpart in the computer-aided diagnosis paradigm. Additionally, we provide a comprehensive...
Fruit diseases play a major role in global agriculture, leading to substantial crop losses and influencing food production and economic stability. By leveraging advanced machine learning techniques, t...
Medical image segmentation is crucial for healthcare, yet convolution-based methods like U-Net face limitations in modeling long-range dependencies. Notably, our TransUNet achieves a significant avera...
There is a problem in the raw material procurement process at the Contractor Company, such as running out and excess stock of raw materials, as well as difficulties in determining how many raw materia...
This research was conducted at PT. Based on these findings, improvement proposals are given in the form of improving standard operating procedures, regular training for workers, the use of high-qualit...
This research explores Random forests, contributing new insights to the field of Artificial Intelligence.
Climaate prediction plays a vital role in various sectors, including agriculture, disaster management, and urban planning. Our results demonstrate the model's capability to capture temporal dependenci...
Within the scope of the research, we put forward a technique of exactly confirming the distinctiveness of agricultural leaf pathologies with the assist of deep mastering algorithms and switch getting...
eXplainable artificial intelligence (XAI) methods have emerged to convert the black box of machine learning (ML) models into a more digestible form. Specifically, their outcomes in terms of model‐depe...
The "Comparative Political Data Set" (CPDS) is a collection of political and institutional country-level data provided by Klaus Armingeon, Sarah Engler and Lucas Leemann at the University of Zurich (S...
The YOLO series has become the most popular frame-work for real-time object detection due to its reasonable trade-off between speed and accuracy. After pre-training with Objects365, RT-DETR-R50 / R101...
This work presents Depth Anything<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup><sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="...
Effective modelling and integrated spectral analysis approaches can advance modelling precision. This research avails a position for the integrated spectral of Analysis for Advanced Modelling of Soil...
This is a highly practical book which introduces the whole range of grounded theory approaches. The book deploys a variety of educational activities to guide readers through both the principles and th...
Chapter 9 presents support vector regression (SVR), a relatively newer supervised learning algorithm for predictive regression modeling, which – like random forests for regression – also may outperfor...
Comprehensive clinical documentation is crucial for effective healthcare delivery, yet it poses a significant burden on healthcare professionals, leading to burnout, increased medical errors, and comp...