Results 31 to 40 of about 4,649,595 (248)
A comprehensive review of AI-powered campus surveillance [PDF]
ITM Web of ConferencesAs education institutions face new security challenges, the integration of Artificial intelligence (AI) and computer vision with surveillance systems for real time monitoring and threat detection is becoming mainstream.
D P Kumuda +5 more
doaj +1 more source
Automated Cyberbullying Activity Detection using Machine Learning Algorithm [PDF]
E3S Web of Conferences, 2023 Cyberbullying is the use of technology to harass, intimidate, or harm another person by making hurtful comments, sending threatening messages to humiliate someone in social media.
Yoganand Bharadwaj Vedadri +5 more
doaj +1 more source
An Automated System to Detect Plant Disease using Deep Learning [PDF]
E3S Web of Conferences, 2023 Crop diseases, particularly in places with weak infrastructure, represent a severe danger to the security of the global food supply. To address this challenge, a platform for accurate identification of plant diseases is needed.
Karuna Gotlur +5 more
doaj +1 more source
A Comprehensive Preprocessing Pipeline for TCGA-BRCA Multi-Omics Data Integration [PDF]
BIO Web of ConferencesThe Cancer Genome Atlas (TCGA) Breast Invasive Carcinoma (BRCA) multi-omics cohort faces significant integration challenges due to fragmented data distribution, varying identifiers, and pronounced batch effects.
Pai Varad +4 more
doaj +1 more source
Feasible Prediction of Diabetes in Pregnant Woman and Neonatal Mellitus in New Born Child using Machine Learning [PDF]
E3S Web of Conferences, 2023 Diabetes during pregnancy is a major source of health problems in unborn infants and their moms. Because gestational diabetes can develop to permanent diabetes, ML is an important method for predicting the likelihood of such progression based on the ...
Shamila M. +5 more
doaj +1 more source
Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things
Frontiers in Plant Science, 2023 The Internet of Things (IOT)-based smart farming promises ultrafast speeds and near real-time response. Precision farming enabled by the Internet of Things has the potential to boost efficiency and output while reducing water use.
Debabrata Singh +9 more
doaj +1 more source
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020 Parallel accelerators, such as GPUs, are a key enabler of large-scale Machine Learning (ML) applications. However, programmers often lack detailed knowledge of the underlying architecture and fail to fully leverage their computational power. This paper proposes GEVO-ML, a tool for automatically discovering optimization opportunities and tuning the ...
Jhe-Yu Liou +3 more
openaire +1 more source
Real-Time SystemsAbstract We propose two complementary research directions, “Time for ML” and “ML for Time”, that we believe to be critical for the deployment of machine-learning (ML) applications in time-sensitive applications. “Time for ML” refers to ML systems that are aware of and can adapt to dynamic time constraints regarding their execution, while “ML ...
Daniel Kuhse +3 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot +6 more
wiley +1 more source
Multi-ML: Programming Multi-BSP Algorithms in ML [PDF]
International Journal of Parallel Programming, 2016 bsp is a bridging model between abstract execution and concrete parallel systems. Structure and abstraction brought by bsp allow to have portable parallel programs with scalable performance predictions, without dealing with low-level details of architectures. In the past, we designed bsml for programming bsp algorithms in ml. However, the simplicity of
Victor Allombert +2 more
openaire +2 more sources