Results 11 to 20 of about 270,130 (220)

Examining The Impact of Artificial Intelligence (AI) – Assisted Social Media Marketing in Improving the Effectiveness of SMES Business Performance in Indonesia

Jurnal Akuntansi dan Ekonomika
Artificial Intelligence (AI) is seen as a key technology to support economic growth by offering opportunities for innovation and management efficiency. This study focuses on Artificial Intelligence-Supported Social Media Marketing (AISMM) as a strategy to overcome marketing challenges and improve the effectiveness of SMES business performance, with ...
Fitri Ayu Nofirda, Dwi Hastuti
openaire   +1 more source

DIR: A Large-Scale Dialogue Rewrite Dataset for Cross-Domain Conversational Text-to-SQL

Applied Sciences, 2023
Semantic co-reference and ellipsis always lead to information deficiency when parsing natural language utterances with SQL in a multi-turn dialogue (i.e., conversational text-to-SQL task).
Jieyu Li, Zhi Chen, Lu Chen, Zichen Zhu, Hanqi Li, Ruisheng Cao, Kai Yu   +6 more
doaj   +1 more source

Relation-Aware Graph Transformer for SQL-to-Text Generation

Applied Sciences, 2021
Generating natural language descriptions for structured representation (e.g., a graph) is an important yet challenging task. In this work, we focus on SQL-to-text, a task that maps a SQL query into the corresponding natural language question.
Da Ma, Xingyu Chen, Ruisheng Cao, Zhi Chen, Lu Chen, Kai Yu   +5 more
doaj   +1 more source

RAG: Facial Attribute Editing by Learning Residual Attributes

IEEE Access, 2019
Facial attribute editing aims to modify face images in the desired manner, such as changing hair color, gender, and age, adding or removing eyeglasses, and so on. Recent researches on this topic largely leverage the adversarial loss so that the generated
Honglun Zhang, Wenqing Chen, Jidong Tian, Hao He, Yaohui Jin   +4 more
doaj   +1 more source

Robust and provably monotonic networks

Machine Learning: Science and Technology, 2023
The Lipschitz constant of the map between the input and output space represented by a neural network is a natural metric for assessing the robustness of the model.
Ouail Kitouni, Niklas Nolte, Mike Williams   +2 more
doaj   +1 more source

Kinematic Modes Identification and Its Intelligent Control of Micro-Nano Particle Manipulated by Acoustic Signal

Mathematics, 2022
In this paper, the dynamics of a micro-nano particle on the micro-thin plate driven by an acoustic signal was investigated, including the particle kinematics mode, kinematics equation, and trajectory control.
Xiaodong Jiao, Jin Tao, Hao Sun, Qinglin Sun   +3 more
doaj   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Ensemble Artificial Intelligence Framework for Real-Time Automatic Vehicle Detection and Classifications

IEEE Access
Vehicle detection plays a vital role in a variety of applications such as autonomous driving, traffic management, and public safety. In this article, we propose an ensemble artificial intelligence framework to simultaneously detect and classify various ...
Quan Yuan, Hyunwook Kwon, Mukhlis Raza, Soojeong Lee, Ali Alqahtani, Jamil Hussain, Saied Salem, Yeong Hyeon Gu, Mugahed A. Al-Antari   +8 more
doaj   +1 more source

Designing and understanding light-harvesting devices with machine learning

Nature Communications, 2020
Photon-induced charge separation phenomena are at the heart of light-harvesting applications but challenging to be described by quantum mechanical models.
Florian Häse, Loïc M. Roch, Pascal Friederich, Alán Aspuru-Guzik   +3 more
doaj   +1 more source