From google gemini to openai q*(q-star): A survey of reshaping the generative artificial intelligence (ai) research landscape

TR McIntosh, T Susnjak, T Liu, P Watters… - arXiv preprint arXiv …, 2023 - arxiv.org
This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …

Building a conversational chatbot using machine learning: Towards a more intelligent healthcare application

RK Solanki, AS Rajawat, AR Gadekar… - Handbook of research …, 2023 - igi-global.com
The healthcare industry is facing numerous challenges in providing efficient and effective
care to patients, including increased demand, limited resources, and a growing shortage of …

Machine learning techniques for increasing efficiency of the robot's sensor and control information processing

Y Kondratenko, I Atamanyuk, I Sidenko, G Kondratenko… - Sensors, 2022 - mdpi.com
Real-time systems are widely used in industry, including technological process control
systems, industrial automation systems, SCADA systems, testing, and measuring equipment …

Study and prediction analysis of the employee turnover using machine learning approaches

R Chakraborty, K Mridha, RN Shaw… - 2021 IEEE 4th …, 2021 - ieeexplore.ieee.org
Employee Turnover is one of the key market challenges in Human Resource (HR) Analytics.
Organizations usually invest a greater amount of money and time in the hiring of staff and …

Cognitive IoT Meets Robotic Process Automation: The Unique Convergence Revolutionizing Digital Transformation in the Industry 4.0 Era

P Bhadra, S Chakraborty, S Saha - Confluence of Artificial Intelligence and …, 2023 - Springer
The emerging trends of cognitive Internet-of-Things (CIoT) are disrupting industrial process
automation by infusing intelligence within the pervasive interactions and process automation …

Anomalies detection on attached IoT device at cattle body in smart cities areas using deep learning

AS Rajawat, P Bedi, SB Goyal, RN Shaw… - AI and IoT for Smart City …, 2022 - Springer
The anomalies detection on attached IoT devices on cattle in Smart Cities Areas using deep
learning that help administrator to identify the unauthorized accessing of attached IoT device …

Phishing URL classification analysis using ANN algorithm

K Mridha, J Hasan, D Saravanan… - 2021 IEEE 4th …, 2021 - ieeexplore.ieee.org
Over the years in social engineering, phishing URLs became a significant threat for internet
users as most cyber-crime or attacks redirect to individual target users by sending a …

[PDF][PDF] Advanced manufacturing and digital twin technology for nuclear energy

K Mondal, O Martinez, P Jain - Frontiers in Energy Research, 2024 - researchgate.net
Nuclear energy is a critical part of the world's energy mix, providing reliable, lowcarbon
electricity (Lenzen, 2008; Shirizadeh and Quirion, 2021). However, the production of nuclear …

Traffic control system for Smart City using image processing

V Bhardwaj, Y Rasamsetti, V Valsan - AI and IoT for Smart City applications, 2022 - Springer
Due to the quickly changing population with the economic development of the country, traffic
congestion has come out as a serious threat to society. Since the present traffic system is …

Efforts to Utilise Resources to Facilitate Learning in Improving Teacher and Student Performance in Learning Islamic Religious Education Class XI Senior High School …

M Nuzli, W Handoyo, GP Sari… - Journal of Social Science …, 2023 - journal.ypidathu.or.id
Background. Education is a conscious and planned effort to create a better human being in
the future in the word Islamic language is insan kamil. then in its application, it always makes …