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Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives
Smart buildings play a crucial role toward decarbonizing society, as globally buildings emit
about one-third of greenhouse gases. In the last few years, machine learning has achieved …
about one-third of greenhouse gases. In the last few years, machine learning has achieved …
Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues
The rapid growth of the Internet of Things (IoT) has led to its widespread adoption in various
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …
[PDF][PDF] A comprehensive framework for strengthening USA financial cybersecurity: integrating machine learning and AI in fraud detection systems
OE Ejiofor - European Journal of Computer Science and …, 2023 - researchgate.net
Financial cybersecurity is of paramount importance in today's digital age, particularly in the
United States, where the financial sector plays a crucial role in the global economy. With the …
United States, where the financial sector plays a crucial role in the global economy. With the …
Reinforcement learning of occupant behavior model for cross-building transfer learning to various HVAC control systems
Occupant behavior plays an important role in the evaluation of building performance.
However, many contextual factors, such as occupancy, mechanical system and interior …
However, many contextual factors, such as occupancy, mechanical system and interior …
[PDF][PDF] Review of AI and machine learning applications to predict and Thwart cyber-attacks in real-time
The contemporary cybersecurity landscape demands innovative solutions to combat the
relentless evolution of cyber threats. Traditional approaches are facing unprecedented …
relentless evolution of cyber threats. Traditional approaches are facing unprecedented …
Analysis of deep neural networks for human activity recognition in videos—a systematic literature review
From the past few decades, Human activity recognition (HAR) is one of the vital research
areas in computer vision in which much research is ongoing. The researcher's focus is …
areas in computer vision in which much research is ongoing. The researcher's focus is …
Everyday automation experience: a research agenda
Automation is finding its way into many parts of everyday life. This is manifested by the
increasing opportunities for end users to offload decisions to their home appliances, to hand …
increasing opportunities for end users to offload decisions to their home appliances, to hand …
Laser-based algorithms meeting privacy in surveillance: A survey
MH Sharif - IEEE Access, 2021 - ieeexplore.ieee.org
Privacy of people is a key factor in surveillance systems. Video camera brings us well-off
color information. How would the privacy be secured then? Besides, privacy protection …
color information. How would the privacy be secured then? Besides, privacy protection …
Transfer Learning in Sensor-Based Human Activity Recognition: A Survey
Sensor-based human activity recognition (HAR) has been an active research area for many
years, resulting in practical applications in smart environments, assisted living, fitness …
years, resulting in practical applications in smart environments, assisted living, fitness …
A user-guided personalization methodology to facilitate new smart home occupancy
Smart homes are becoming increasingly popular in providing people with the services they
desire. Activity recognition is a fundamental task to provide personalised home facilities …
desire. Activity recognition is a fundamental task to provide personalised home facilities …