This paper presents the" CDAC AI life cycle," a comprehensive life cycle for the design,
development, and deployment of artificial intelligence (AI) systems and solutions. It …

Phishing attackers spread phishing links through e-mail, text messages, and social media
platforms. They use social engineering skills to trick users into visiting phishing websites and …

Agriculture is one of the few remaining sectors that is yet to receive proper attention from the
machine learning community. The importance of datasets in the machine learning discipline …

The importance of meeting data quality standards in the context of Machine Learning (ML)
development pipelines is explored in this study. It delves deep into why good data is crucial …

Wastewater treatment facilities are complex environments with many unit treatment
processes in series, in parallel, and connected by feedback loops. As such, addressing …

The fitness of the systems in which Machine Learning (ML) is used depends greatly on good-
quality data. Specifications on what makes a good-quality dataset have traditionally been …

Deep neural network (DNN) classifiers are potent instruments that can be used in various
security-sensitive applications. Nonetheless, they are vulnerable to certain attacks that …

Data plays a fundamental role in the training of Large Language Models (LLMs). Effective
data management, particularly in the formulation of a well-suited training dataset, holds …

The quality of training data has a huge impact on the efficiency, accuracy and complexity of
machine learning tasks. Various tools and techniques are available that assess data quality …

Accurate hydrological predictions are required to prepare for the impacts of climate change,
especially in India, which experiences frequent floods and droughts. However, the complex …