Naseema Shaik

Abstract Machine learning models for ultra-high-performance concrete (UHPC) commonly report coefficients of determination above 0.94 on held-out records, and these values now shape expectations for data-driven mix design. We show that a substantial part of this reported predictive performance depends on how the models are evaluated. Benchmark UHPC datasets contain replicate records, meaning the same mixture tested at several curing ages or specimen sizes.

Naseema shaik · Follow 4 min read · -- Introduction In today’s fast-paced business world, adopting new technology is no longer optional but a necessity. Companies of all sizes are constantly looking for ways to streamline operations, improve efficiency, and stay competitive. However, upgrading or integrating new technology into your existing systems can be a challenging process. Without careful planning, even the most promising tools can cause disruptions that hinder growth.

Naseema shaik · Follow 4 min read · -- Introduction: Artificial Intelligence (AI) is no longer the future but it’s the present. From automating processes to predicting customer behavior, AI has the potential to revolutionize businesses. However, AI implementation can be a daunting task. With an ever-evolving landscape, businesses often stumble upon common hurdles such as unclear goals, poor integration, and lack of expertise.