Extensive review on the role of machine learning for multifactorial genetic disorders prediction
The culture of employing machine learning driven assistance and decision making is
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …
[HTML][HTML] Knowledge-defined networking: Applications, challenges and future work
Future 6G wireless communication systems are expected to feature intelligence and
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …
Image classification based on the Kohonen network and the data space modification
V Gorokhovatskyi, I Tvoroshenko - 2020 - openarchive.nure.ua
Анотація In this paper, we propose the solution of visual object recognition in computer
vision problems using the classification of descriptors of image key points based on the …
vision problems using the classification of descriptors of image key points based on the …
Clinical decision support system for quality of life among the elderly: an approach using artificial neural network
Background Due to advancements in medicine and the elderly population's growth with
various disabilities, attention to QoL among this age group is crucial. Early prediction of the …
various disabilities, attention to QoL among this age group is crucial. Early prediction of the …
IEESEP: an intelligent energy efficient stable election routing protocol in air pollution monitoring WSNs
E Dixit, V Jindal - Neural Computing and Applications, 2022 - Springer
Nowadays, wireless sensor network (WSN) consists of insignificant and low-priced sensing
hops (nodes) focusing on gathering eco-friendly information. It may be used in a variation of …
hops (nodes) focusing on gathering eco-friendly information. It may be used in a variation of …
Artificial Intelligence Enabled Smart Monitoring and Controlling of IoT-Green House
Green houses are being built and expanded at a breakneck pace. The green house climate
directly affects plant's development, and its continuous indoor environment monitoring is …
directly affects plant's development, and its continuous indoor environment monitoring is …
Cognitive analytics enabled responsible artificial intelligence for business model innovation: A multilayer perceptron neural networks estimation
RP Kanungo, R Liu, S Gupta - Journal of Business Research, 2024 - Elsevier
Cognitive analytics employs and analyses complex and heterogeneous data sources
generating deeper insights that mimic the natural intelligence of the human brain. Cognitive …
generating deeper insights that mimic the natural intelligence of the human brain. Cognitive …
[HTML][HTML] Learning the rational choice perspective: A reinforcement learning approach to simulating offender behaviours in criminological agent-based models
Over the past 15 years, environmental criminologists have explored the application of agent-
based models (ABMs) of crime events and various theoretical frameworks applied to …
based models (ABMs) of crime events and various theoretical frameworks applied to …
[PDF][PDF] Predicting Students' Inclination to TVET Enrolment Using Various Classifiers.
ABSTRACT Technical and Vocational Education and Training (TVET) is an education
system that delivers necessary information, skills, and attitudes related to work or self …
system that delivers necessary information, skills, and attitudes related to work or self …
[HTML][HTML] How to better predict the effect of urban traffic and weather on air pollution? Norwegian evidence from machine learning approaches
C Cao - Journal of Economic Behavior & Organization, 2024 - Elsevier
This paper uses machine learning approaches to predict the association between traffic
volume, air pollution, and meteorological conditions. A key focus is on the interaction …
volume, air pollution, and meteorological conditions. A key focus is on the interaction …