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Advancing network security in industrial IoT: a deep dive into AI-enabled intrusion detection systems
The increasing use of Industrial Internet of Things (IIoT) devices has heightened concerns
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
Improving operations through a lean AI paradigm: A view to an AI-aided lean manufacturing via versatile convolutional neural network
Abstract Integrating Lean Manufacturing tools with artificial intelligence (AI) is emerging as a
revolutionary approach to optimize production processes, reduce waste, and enhance …
revolutionary approach to optimize production processes, reduce waste, and enhance …
Generative AI for culturally responsive science assessment: A conceptual framework
In diverse classrooms, one of the challenges educators face is creating assessments that
reflect the different cultural backgrounds of every student. This study presents a novel …
reflect the different cultural backgrounds of every student. This study presents a novel …
[PDF][PDF] Building sustainable business models with predictive analytics: Case studies from various industries
Agu, Chiekezie, Abhulimen, & Obiki-Osafiele, P. No. 394-406 Page 395 efficiency and
patient outcomes. Financial services leverage predictive analytics for credit risk assessment …
patient outcomes. Financial services leverage predictive analytics for credit risk assessment …
Improving the concrete crack detection process via a hybrid visual transformer algorithm
Inspections of concrete bridges across the United States represent a significant commitment
of resources, given their biannual mandate for many structures. With a notable number of …
of resources, given their biannual mandate for many structures. With a notable number of …
Evaluating the fidelity of statistical forecasting and predictive intelligence by utilizing a stochastic dataset
Forecasting plays a pivotal role in reducing waste within the manufacturing enterprise by
aligning production closely with demand, thereby minimizing the excess that typically results …
aligning production closely with demand, thereby minimizing the excess that typically results …
[PDF][PDF] Generative AI for culturally responsive assessment in science: A conceptual framework
This study presents a novel approach to automatic generation of cultural and contextspecific
science assessments for K-12 education using generative AI (GenAI). We first developed a …
science assessments for K-12 education using generative AI (GenAI). We first developed a …
A Systemic Approach to the Product Life Cycle for the Product Development Process in Agriculture
For a long time, a company's Product Development Process (PDP) was seen as supporting
the operations department, although PDP decisions and mistakes have a considerable …
the operations department, although PDP decisions and mistakes have a considerable …
Scaling Laws for Discriminative Classification in Large Language Models
Modern large language models (LLMs) represent a paradigm shift in what can plausibly be
expected of machine learning models. The fact that LLMs can effectively generate sensible …
expected of machine learning models. The fact that LLMs can effectively generate sensible …
CLoG: Benchmarking Continual Learning of Image Generation Models
Continual Learning (CL) poses a significant challenge in Artificial Intelligence, aiming to
mirror the human ability to incrementally acquire knowledge and skills. While extensive …
mirror the human ability to incrementally acquire knowledge and skills. While extensive …