Applications of machine learning techniques for enhancing nondestructive food quality and safety detection

Y Lin, J Ma, Q Wang, DW Sun - Critical Reviews in Food Science …, 2023 - Taylor & Francis
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 …

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 …

Internet of things: Evolution, concerns and security challenges

P Malhotra, Y Singh, P Anand, DK Bangotra, PK Singh… - Sensors, 2021 - mdpi.com
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 …

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 …

Energy efficient routing protocol using next cluster head selection process in two-level hierarchy for wireless sensor network

LK Tyagi, A Kumar, CK Jha, AK Rai… - Journal of …, 2022 - pnrjournal.com
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 …

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 …

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 …

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 …

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 …

[HTML][HTML] Hybridization of data-driven threshold algorithm with fuzzy particle swarm optimization technique for gene selection in microarray data

PO Adebayo, RG Jimoh, WB Yahya - Scientific African, 2023 - Elsevier
Microarrays have revolutionized genomics by enabling the simultaneous measurement of
thousands of gene expressions. However, the high dimensionality of microarray data poses …