Results 31 to 40 of about 7,392 (64)

PowerDetector: Malicious PowerShell script family classification based on multi-modal semantic fusion and deep learning

China Communications, 2023
PowerShell has been widely deployed in fileless malware and advanced persistent threat (APT) attacks due to its high stealthiness and live-off-the-land technique.
Xiuzhang Yang, Guojun Peng, Dongni Zhang, Yuhang Gao, Chenguang Li   +4 more
semanticscholar   +1 more source

EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association

Annual Meeting of the Association for Computational Linguistics
Goal-oriented script planning, or the ability to devise coherent sequences of actions toward specific goals, is commonly employed by humans to plan for typical activities.
Weiqi Wang, Limeng Cui, Xin Liu, Sreyashi Nag, Wenju Xu, Chen Luo, S. Sarwar, Yang Li, Hansu Gu, Hui Liu, Changlong Yu, Jiaxin Bai, Yifan Gao, Haiyang Zhang, Qi He, Shuiwang Ji, Yangqiu Song   +16 more
semanticscholar   +1 more source

Dynamic Feature Weighting for Efficient Multi-Script Identification Using YafNet: A Deep CNN Approach

Journal of intelligent systems and internet of things
Script identification is crucial for document analysis and optical character recognition (OCR). This study proposes YafNet, a novel convolutional neural network (CNN) architecture, developed from scratch, to tackle the challenges of script identification
Y. Yahia, R. Marie, Faycel Abbas, Abdeljalil Gattal, Mohammed Al-Sarem   +4 more
semanticscholar   +1 more source

Deep CNN vs. Transfer Learning: A Comparative Study on Multi-Script Identification

2025 IEEE International Multi-Conference on Smart Systems & Green Process (IMC-SSGP)
This research presents a comparative analysis of deep learning models for script identification in word images. We investigate the efficacy of a purpose-built Convolutional Neural Network (CNN), “Modified YafNet,” trained from scratch, versus ...
Abdeljalil Gattal, Yahia Menassel, Faycel Abbas   +2 more
semanticscholar   +1 more source

Multi-Script-Oriented Text Detection and Recognition in Video/Scene/Born Digital Images

IEEE transactions on circuits and systems for video technology (Print), 2019
Achieving good text detection and recognition results for multi-script-oriented images is a challenging task. First, we explore bit plane slicing in order to utilize the advantage of the most significant bit information to identify text components. A new
K. S. Raghunandan, P. Shivakumara, Sangheeta Roy, G. Kumar, U. Pal, Tong Lu   +5 more
semanticscholar   +1 more source

JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation

arXiv.org
This paper presents JARVIS, a novel multi-agent framework that leverages Large Language Models (LLMs) and domain expertise to generate high-quality scripts for specialized Electronic Design Automation (EDA) tasks.
G. Pasandi, K. Kunal, Varun Tej, Kunjal Shan, Hanfei Sun, Sumit Jain, Chunhui Li, Chenhui Deng, Teodor-Dumitru Ene, Haoxing Ren, Sreedhar Pratty   +10 more
semanticscholar   +1 more source

Handwritten Indic Script Identification in Multi-Script Document Images: A Survey

International journal of pattern recognition and artificial intelligence, 2018
Script identification is crucial for automating optical character recognition (OCR) in multi-script documents since OCRs are script-dependent. In this paper, we present a comprehensive survey of the techniques developed for handwritten Indic script ...
S. Obaidullah, K. Santosh, N. Das, C. Halder, K. Roy   +4 more
semanticscholar   +1 more source

Gender classification from offline multi-script handwriting images using oriented Basic Image Features (oBIFs)

Expert systems with applications, 2018
Classification of gender from images of handwriting is an interesting research problem in computerized analysis of handwriting. The correlation between handwriting and gender of writer can be exploited to develop intelligent systems to facilitate ...
Abdeljalil Gattal, Chawki Djeddi, Imran Siddiqi, Y. Chibani   +3 more
semanticscholar   +1 more source

Multi-script Text Detection from Images: A Survey

2019 Innovations in Power and Advanced Computing Technologies (i-PACT), 2019
Textual information in images contains small but crucial information. Text detection is first necessary step to extract text from images. It has applications including intelligent car driving system, translation, information retrieval and many more ...
Nidhi J. Dadiya, Mukesh M Goswami
semanticscholar   +1 more source

On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation

arXiv.org
Humor is a commonly used and intricate human language in daily life. Humor generation, especially in multi-modal scenarios, is a challenging task for large language models (LLMs), which is typically as funny caption generation for images, requiring ...
Wenbo Shang, Yuxi Sun, Jing-Xin Ma, Xin Huang   +3 more
semanticscholar   +1 more source