Tripathi, Deeksha Biswas, Saroj K Baruah, Barnana
Published in
Engineering Research Express
In agricultural research, Crop Yield Prediction (CYP) offers the best decision-making to assist farmers in agricultural yield forecasting efficiently. Most of the existing studies have not considered the exhaustive exploration of data analytics techniques in Machine Learning (ML) for CYP due to which the existing models have not given the optimal r...
Singh, Asheesh K. Balabaygloo, Behzad J. Bekee, Barituka Blair, Samuel W. Fey, Suzanne Fotouhi, Fateme Gupta, Ashish Jha, Amit Martinez-Palomares, Jorge C. Menke, Kevin
...
Published in
Frontiers in Agronomy
To meet the grand challenges of agricultural production including climate change impacts on crop production, a tight integration of social science, technology and agriculture experts including farmers are needed. Rapid advances in information and communication technology, precision agriculture and data analytics, are creating a perfect opportunity ...
Okpala, Charles Onyeka, Charles Igbokwe, Nkemakonam Chidiebube
Abstract: The advent of the Internet of Things (IoT) has revolutionized various industries, and the manufacturing sector is no exception. This article provides a comprehensive review of the implementation of IoT in the manufacturing industry, highlighting its impact on processes, efficiency, and overall productivity. The paper also explored key tec...
Ding, Yunyan Huang, Yicong Gao, Pan Thai, Andy Chilaparasetti, Atchuth Naveen Gopi, M. Xu, Xiangmin Li, Chen
Published in
Frontiers in Neural Circuits
In the realm of neuroscience, mapping the three-dimensional (3D) neural circuitry and architecture of the brain is important for advancing our understanding of neural circuit organization and function. This study presents a novel pipeline that transforms mouse brain samples into detailed 3D brain models using a collaborative data analytics platform...
Mentzas, Gregoris Hribernik, Karl Stahre, Johan Romero, David Soldatos, John
Published in
Frontiers in Artificial Intelligence
Pavšič, Janez Karl
Kapo, Amra Turulja, Lejla Vidačak, Zorana
Published in
Journal of Forensic Accounting Profession
The integration of data analytics into forensic accounting has revolutionized the detection and prevention of financial fraud. This paper conducts a comprehensive analysis of recent advancements in this field, highlighting the application of machine learning, data mining, and big data techniques in identifying fraudulent activities. By reviewing th...
Țîrlea, Anca Victoria Kifor, Claudiu Vasile Dănuţ, Raluca Elena Nicolaescu, Sergiu Ștefan Săvescu, Roxana Florența
Published in
International conference KNOWLEDGE-BASED ORGANIZATION
In the field of teleworking research, there are still many gaps and unexplored topics, as it is no longer news that teleworking has seen significant growth in recent years. There are still many important aspects that need attention, starting from understanding how this working model will evolve in the long run to understanding what its effects will...
Sarcea Manea, Oana Alexandra Zbuchea, Alexandra Pinzaru, Florina
Published in
Proceedings of the International Conference on Business Excellence
The present article studies the importance of new technologies connected with today’s business environment. From small businesses to corporations, companies are adapting to new high-tech solutions to increase efficiency, productivity, and customer engagement. The increasing use of artificial intelligence, automation, and other digital media is chan...
Parida, Lukesh Moharana, Sumedha
Published in
Engineering Research Express
In recent years, the development of digital twins has transformed the area of structural health monitoring (SHM), facilitating continuous monitoring, evaluation, and forecasting of structural behaviors. This article examines the use of digital twins in the SHM of building infrastructure advancements in detail. The study examines the fundamental asp...