Application of machine learning-based BIM in green public building design

D Wang, F Chang - Soft Computing, 2023 - Springer
Public activities are mostly carried out in large public buildings, which are closely related to
social management. At present, people's demand for public building facilities is increasing …

An energy-aware load balancing method for IoT-based smart recycling machines using an artificial chemical reaction optimization algorithm

S Tabaghchi Milan, M Darbandi, N Jafari Navimipour… - Algorithms, 2023 - mdpi.com
Recycling is very important for a sustainable and clean environment. Developed and
developing countries are both facing the problem of waste management and recycling …

[HTML][HTML] A novel coal-rock cutting state identification model based on the Internet of Things

D Song, C Venugopal - International Journal of Cognitive Computing in …, 2023 - Elsevier
The sudden change in the interface between coal-rock mass can lead to the increased
abrasion of picks and the failure rate of mining machinery. The safe and efficient coal-rock …

Assessing intra-and inter-community trustworthiness in IoT: A role-based attack-resilient dynamic trust management model

R Su, A Riahi, E Natalizio, P Moyal, A Saint-Jore… - Internet of Things, 2024 - Elsevier
IoT is regarded as the key technology for boosting the Industry 4.0 revolution. However, the
introduction of high-intelligence devices and complex services raises new challenges for …

[HTML][HTML] A Delay-Tolerant low-duty cycle scheme in wireless sensor networks for IoT applications

S Singh, V Anand, PK Bera - International Journal of Cognitive Computing …, 2023 - Elsevier
Energy efficiency is an existing research challenge in wireless sensor networks (WSNs); to
make WSNs energy efficient, many researchers moved to low-duty cycle WSNs with different …

[HTML][HTML] Remarks on path-factor critical avoidable graphs

Z He, L Liang, HM Baskonus, W Gao - International Journal of Cognitive …, 2023 - Elsevier
Zhou (2023) introduced the concept of path-factor critical avoidable graph and determined
several parameter bounds for (P≥ 2, n) or (P≥ 3, n)-factor critical avoidable graphs. Certain …

[HTML][HTML] Novel Darknet traffic data synthesis using Generative Adversarial Networks enhanced with oscillatory Growing Cosine Unit activated convolution layers

MM Noel, MR Ghalib, PR Subramaniam… - International Journal of …, 2024 - Elsevier
The Darknet is an anonymous, encrypted collection of websites, with a passive listening
nature-accepting incoming packets, while not supporting outgoing packets. Thus, it can …

Machine learning technique-based emotion classification using speech signals

KA Kumar, JLM Iqbal - Soft Computing, 2023 - Springer
The challenge of identifying the emotional qualities of voice, regardless of the semantic
meaning, is known as speech emotion recognition (SER). While people are capable of …

Research on supply and demand matching model of transportation modes in MaaS system of integrated passenger transport hub based on deep learning

Y Liang, C Lan, T Dan, Z Qiaoqiong, Y Yue, C Lin - Soft Computing, 2023 - Springer
Advances in artificial intelligence and data acquisition technology are growing, the research
on deep learning algorithm has gone deep into various fields. At this stage, the demand …

Political teaching application in high vocational care courses based on machine learning systems

Z Zhou, Y Liu - Soft Computing, 2023 - Springer
Higher vocational colleges need to use video system technology to transform teaching
methods to transform ideological and political teaching into more vivid, more attractive and …