Abstract: Underwater detection networks (UDN) are extensively employed in scenarios such as marine environmental monitoring and seabed resource exploration. In general, to achieve higher network ...

Abstract: With the rapid advancement of intelligent and distributed manufacturing, the Distributed Hybrid Flow Shop Scheduling Problem (DHFSP) has emerged as a key area of research in industrial ...

Scientists at the European Centre for Medium-Range Weather Forecasts have unveiled a machine learning technique that pinpoints optimal locations for ...

Researchers have created a "metal detector" algorithm called PRRDetect to hunt down vulnerable tumors, in a development that could one day revolutionize the treatment of cancer.

Explore the recent advances in fuzzing, including the challenges and opportunities it presents for high-integrity software ...

Occipital meningomyeloceles are rare and challenging conditions for the anaesthesiologist, mainly because of the difficulty ...

Key factors driving this growth include the increasing need to lower drug development costs and timelines, the rising ...

With a NOK 40 million (approx. €3.5 million) grant, Professor Srdjan Djurovic at the University of Oslo aims to identify early blood-based biomarkers that can predict who is at increased risk of ...

Figures 12-14 are the land use/land cover maps of existing forest reserves in the FCT, namely; Tufa in Abaji, Chihuma, Chikwei, Kusoru and Shaba in Bwari, Maje Abuchi in Gwagwalada, then, Buga Hill, ...

The global rise in the prevalence of obesity highlights the need for accessible and effective solutions for obesity ...

Objective To examine associations between participants’ perinatal factors, including harmonised birth weight and length, ...

Job Description We are seeking a passionate and innovative Genomic Data Scientist to join our cutting-edge team.  You will ...