Results 91 to 100 of about 414,081 (200)

A Unified Multi-Task Learning Model with Joint Reverse Optimization for Simultaneous Skin Lesion Segmentation and Diagnosis

Bioengineering
Classifying and segmenting skin cancer represent pivotal objectives for automated diagnostic systems that utilize dermoscopy images. However, these tasks present significant challenges due to the diverse shape variations of skin lesions and the ...
Mohammed A. Al-masni, Abobakr Khalil Al-Shamiri, Dildar Hussain, Yeong Hyeon Gu   +3 more
doaj   +1 more source

Advancing Sequential Manga Colorization for AR Through Data Synthesis

IEEE Access
Manga colorization in augmented reality (AR) environments presents unique challenges, particularly when colorizing manga pages captured in photos under various real-world conditions.
Maksim Golyadkin, Sergey Saraev, Ilya Makarov   +2 more
doaj   +1 more source

Foggy Drone Teacher: Domain Adaptive Drone Detection Under Foggy Conditions

Drones
With the growing use of drones, efficient detection algorithms are crucial, especially under adverse weather conditions. Most existing drone detection algorithms perform well only in clear weather, resulting in significant performance drops in foggy ...
Guida Zheng, Benying Tan, Jingxin Wu, Xiao Qin, Yujie Li, Shuxue Ding   +5 more
doaj   +1 more source

Robust resonant anomaly detection with NPLM

European Physical Journal C: Particles and Fields
In this study, we investigate the application of the New Physics Learning Machine (NPLM) algorithm as an alternative to the standard CWoLa method with Boosted Decision Trees (BDTs), particularly for scenarios with rare signal events.
Gaia Grosso, Debajyoti Sengupta, Tobias Golling, Philip Harris   +3 more
doaj   +1 more source

Molecule generation for drug design: A graph learning perspective

Fundamental Research
Machine learning, particularly graph learning, is gaining increasing recognition for its transformative impact across various fields. One such promising application is in the realm of molecule design and discovery, notably within the pharmaceutical ...
Nianzu Yang, Huaijin Wu, Kaipeng Zeng, Yang Li, Siyuan Bao, Junchi Yan   +5 more
doaj   +1 more source

Computational approaches for drug–drug interaction prediction: a systematic review of data sources, modeling strategies, and evaluation frameworks

Frontiers in Pharmacology
IntroductionDrug-drug interactions (DDIs) are a major cause of preventable harm in polypharmacy and remain difficult to anticipate as formularies, indication profiles, and interaction labels evolve. Over the last few years, the DDI modeling landscape has
Qadeer Hashir, Muhammad Asfand E Yar, Asad Ullah, Shahid Kamal, Fasee Ullah, Zul Hilmi Abdullah   +5 more
doaj   +1 more source

Artificial Intelligence

, 2012
This saylor course introduces the field of artificial intelligence (AI). Materials on AI programming,logic,search,game playing,machine learning,natural language understanding and robotics introduce the student to AI methods and techniques,their ...
The Saylor Foundation
core  

QuKAN: A Quantum Circuit Born Machine Approach to Quantum Kolmogorov Arnold Networks

Scientific Reports
Kolmogorov Arnold Networks (KANs), built upon the Kolmogorov Arnold representation theorem (KAR), have demonstrated promising capabilities in expressing complex functions with fewer neurons.
Yannick Werner, Akash Malemath, Mengxi Liu, Vitor Fortes Rey, Nikolaos Palaiodimopoulos, Paul Lukowicz, Maximilian Kiefer-Emmanouilidis   +6 more
doaj   +1 more source

The management of intelligence-assisted finite element analysis technology

, 1997
Artificial Intelligence (AI) approaches to Finite Element Analysis (FEA), have had tentative degrees of success over the last few years and some authors have argued that effective FEA can help in the manufacture reliability and safety aspects of ...
Sharif, AM
core  

The Artificial Intelligence Act: lights and shadows

The EU's AI Act represents a significant step in regulating artificial intelligence, both in terms of human centered and prudential approach. We intend to investigate three issues: 1) Could high risk activities and their control raise concerns about the ...
Giovanna De Minico
core