Zobrazeno 1 - 10
of 9 387
pro vyhledávání: '"Raihan, AS"'
The recently introduced Mojo programming language (PL) by Modular, has received significant attention in the scientific community due to its claimed significant speed boost over Python. Despite advancements in code Large Language Models (LLMs) across
Externí odkaz:
http://arxiv.org/abs/2410.17736
Large language models (LLMs) are becoming increasingly better at a wide range of Natural Language Processing tasks (NLP), such as text generation and understanding. Recently, these models have extended their capabilities to coding tasks, bridging the
Externí odkaz:
http://arxiv.org/abs/2410.16349
Autor:
Raihan, Nishat
This technical report presents CiteClick, a browser extension designed to monitor and track Google Scholar citation counts for multiple researchers in real-time. We discuss the motivation behind the tool, its key features, implementation details, and
Externí odkaz:
http://arxiv.org/abs/2410.16211
Recent advancements in large language models (LLMs) have significantly enhanced code generation from natural language prompts. The HumanEval Benchmark, developed by OpenAI, remains the most widely used code generation benchmark. However, this and oth
Externí odkaz:
http://arxiv.org/abs/2410.15037
This research paper explores the privacy and security threats posed to an Agentic AI system with direct access to database systems. Such access introduces significant risks, including unauthorized retrieval of sensitive information, potential exploit
Externí odkaz:
http://arxiv.org/abs/2410.14728
Contour maps are an essential tool for exploring spatial features of the terrain, such as distance, directions, and surface gradient among the contour areas. User interactions in contour-based visualizations create approaches to visual analysis that
Externí odkaz:
http://arxiv.org/abs/2410.10032
Federated learning (FL) is a popular approach that enables organizations to train machine learning models without compromising data privacy and security. As the field of FL continues to grow, it is crucial to have a thorough understanding of the topi
Externí odkaz:
http://arxiv.org/abs/2409.15773
Autor:
Shankar, Gauri, Uddin, Md Raihan, Mukta, Saddam, Kumar, Prabhat, Islam, Shareeful, Islam, A. K. M. Najmul
Blockchain technology is an emerging digital innovation that has gained immense popularity in enhancing individual security and privacy within Information Systems (IS). This surge in interest is reflected in the exponential increase in research artic
Externí odkaz:
http://arxiv.org/abs/2409.14472
This study aimed to evaluate the effective management strategies of Albugo candida, a pathogen of white rust disease in red amaranth (Amaranthus tricolor L.), accountable for the reduction of seed production. The study was performed during the Rabi s
Externí odkaz:
http://arxiv.org/abs/2409.07579
Time-series forecasting often faces challenges due to data volatility, which can lead to inaccurate predictions. Variational Mode Decomposition (VMD) has emerged as a promising technique to mitigate volatility by decomposing data into distinct modes,
Externí odkaz:
http://arxiv.org/abs/2408.16122