Applications of machine learning techniques for enhancing nondestructive food quality and safety detection
In considering the need of people all over the world for high-quality food, there has been a
recent increase in interest in the role of nondestructive and rapid detection technologies in …
recent increase in interest in the role of nondestructive and rapid detection technologies in …
A systematic literature review on identifying patterns using unsupervised clustering algorithms: A data mining perspective
M Chaudhry, I Shafi, M Mahnoor, DLR Vargas… - Symmetry, 2023 - mdpi.com
Data mining is an analytical approach that contributes to achieving a solution to many
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …
Internet of things: Evolution, concerns and security challenges
The escalated growth of the Internet of Things (IoT) has started to reform and reshape our
lives. The deployment of a large number of objects adhered to the internet has unlocked the …
lives. The deployment of a large number of objects adhered to the internet has unlocked the …
Data collection optimization of ocean observation network based on AUV path planning and communication
Z Yan, Y Li - Ocean Engineering, 2023 - Elsevier
Abstract The Ocean Observation Network (OON) is an ocean science and engineering
observation platform which integrates underwater wireless sensors, acoustic buoys …
observation platform which integrates underwater wireless sensors, acoustic buoys …
Energy efficient routing protocol using next cluster head selection process in two-level hierarchy for wireless sensor network
Wireless Sensor Network (WSN) has played a vital role in monitoring fire alarms, smoke,
and security in smart buildings and shopping malls, as well as monitoring the environment …
and security in smart buildings and shopping malls, as well as monitoring the environment …
Assessing and classification of academic efficiency in engineering teaching programs
E De La Hoz - Full Research Paper, 2021 - repositorio.uniatlantico.edu.co
This research uses a three-phase method to evaluate and forecast the academic efficiency
of engineering programs. In the first phase, university profiles are created through cluster …
of engineering programs. In the first phase, university profiles are created through cluster …
IMGC: interactive multiple graph clustering with constrained Laplacian rank
Z Zhou, L Sun, H Wang, W Yu, Y Liu… - … on Human-Machine …, 2022 - ieeexplore.ieee.org
Numerous graph clustering methods have been proposed to explore aggregation structures
across multiple graphs. In these methods, single-graph features are merely considered or …
across multiple graphs. In these methods, single-graph features are merely considered or …
Faults in modular multilevel cascade converters–Part II: Fault tolerance, fault detection and diagnosis, and system reconfiguration
F Rojas, C Jerez, CM Hackl… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Modular multilevel cascade converters (MMCCs) are considered a promising power
electronics topology in industry. Their scalability allows to reach (ultra/very) high voltage …
electronics topology in industry. Their scalability allows to reach (ultra/very) high voltage …
TSDroid: A novel android malware detection framework based on temporal & spatial metrics in IoMT
G Zhang, Y Li, X Bao, C Chakarborty… - ACM Transactions on …, 2023 - dl.acm.org
In the era of smart healthcare tremendous growth, plenty of smart devices facilitate cognitive
computing for the purposes of lower cost, smarter diagnostic, etc. Android system has been …
computing for the purposes of lower cost, smarter diagnostic, etc. Android system has been …
[HTML][HTML] Hybridization of data-driven threshold algorithm with fuzzy particle swarm optimization technique for gene selection in microarray data
Microarrays have revolutionized genomics by enabling the simultaneous measurement of
thousands of gene expressions. However, the high dimensionality of microarray data poses …
thousands of gene expressions. However, the high dimensionality of microarray data poses …